Front. Ecol. Evol. Frontiers in Ecology and Evolution Front. Ecol. Evol. 2296-701X Frontiers Media S.A. 10.3389/fevo.2023.1121400 Ecology and Evolution Original Research Effects of urbanization, biotic and abiotic factors on aquatic insect diversity in urban ponds Keinath Silvia 1 2 * Onandia Gabriela 2 3 Griesbaum Frederic 1 2 Rödel Mark-Oliver 1 2 1Museum für Naturkunde, Berlin – Leibniz Institute for Evolution and Biodiversity Science, Berlin, Germany 2Berlin-Brandenburg Institute of Advanced Biodiversity Research, Berlin, Germany 3Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany

Edited by: Olivia Sanllorente, University of Granada, Spain

Reviewed by: Boudjéma Samraoui, University of Annaba, Algeria; Tiffany A. Schriever, Western Michigan University, United States

*Correspondence: Keinath Silvia, silvia.keinath@mfn.berlin
05 05 2023 2023 11 1121400 11 12 2022 18 04 2023 Copyright © 2023 Keinath, Onandia, Griesbaum and Rödel. 2023 Keinath, Onandia, Griesbaum and Rödel

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

Urbanization leads to drastic modifications of the terrestrial and aquatic environment. However, urban ponds may provide valuable habitats for different taxa, including aquatic insects and amphibians. We aim to understand how a set of biotic and abiotic factors influence aquatic insect diversity in 18 urban ponds in the German metropolis Berlin, one of the greenest whilst most densely populated European cities. Greenspace is important for the terrestrial stages of some aquatic insects and amphibians, providing crucial resources. Thus, greenspace was assumed to have positive effects on aquatic insect diversity, whereas built-up area was assumed to affect diversity negatively. Because some aquatic insects prey on tadpoles, their abundance and diversity were assumed to depend on tadpole abundance, which in turn, depends on other food (i.e., phytoplankton) availability in ponds. We visited the ponds twice a year, in spring and summer, and collected data on aquatic insects that are known to prey on tadpoles, tadpole abundance, phytoplankton biomass, the presence or absence of large insect predators, as well as physical–chemical parameters. We assumed higher total aquatic insect abundance, genera richness, alpha-diversity, and evenness, as well as abundance and genera richness of different aquatic insect taxonomic groups to be associated with high tadpole abundance in ponds surrounded by high amount of greenspace and low levels of built-up area. Accordingly, we expected aquatic insects to be modulated by phytoplankton biomass, the presence of newts and fish, and to be affected by ponds’ abiotic conditions. Our results showed that biological interactions and abiotic water conditions override urban effects in ponds’ terrestrial surroundings on aquatic insect diversity levels, whereas aquatic insects’ taxonomic groups responded differently on different land-use types around ponds. We explain our findings due to different dependences and demands towards terrestrial and/or aquatic habitats by different taxonomic groups of aquatic insects, and differences in their colonization behavior.

amphibians built-up area chlorophyll-a greenspace macroinvertebrates plankton temperature water chemistry 16LC1501F1 German Federal Ministry of Education and Research section-at-acceptance Urban Ecology

香京julia种子在线播放

    1. <form id=HxFbUHhlv><nobr id=HxFbUHhlv></nobr></form>
      <address id=HxFbUHhlv><nobr id=HxFbUHhlv><nobr id=HxFbUHhlv></nobr></nobr></address>

      Introduction

      Urban areas are defined as cultural landscapes where humans live at high densities, using constructed areas for housing, work and movement (Pickett et al., 2011; Wu, 2014). The process of urbanization drastically impacts the environment (Antrop, 2000; McIntyre, 2000). However, while former habitats within cities disappear, novel urban ecosystems are emerging (McIntyre, 2000; Hobbs et al., 2013), which have multifaceted negative and positive effects on therein living species (McKinney, 2008). On the one hand, urbanization is known to reduce species richness (McKinney, 2002, 2008) and biodiversity (Shochat et al., 2010), which is mainly caused by habitat loss and fragmentation (Goddard et al., 2010; Liu et al., 2016). On the other hand, urban ecosystems often offer higher habitat heterogeneity on small spatial scales compared to rural areas (Kühn et al., 2004). For instance, man-made urban greenspaces, such as parks, cemeteries, private and residential gardens provide valuable habitats for many species (Haaland and van den Bosch, 2015; Niemeier et al., 2020).

      So far, most studies addressing biodiversity in urban ecosystems, focused on terrestrial and lotic habitats (Blair and Launer, 1997; Paul and Mayer, 2001; Blakely et al., 2006; Fontana et al., 2011). In particular, ponds, which are known to host high aquatic faunal and floral diversity, remained understudied (Biggs et al., 2005; Dudgeon et al., 2006; Goertzen and Suhling, 2013; Hassall, 2014). Ponds are defined as small, lentic, often temporary water bodies, usually with an area below two hectares (Biggs et al., 2005; De Meester et al., 2005). Urban ponds are known to provide valuable habitats for a number of rare and endangered species (Williams et al., 2003; Biggs et al., 2005; Colding et al., 2009; Goertzen and Suhling, 2013), such as amphibians (Brand and Snodgrass, 2009) and various aquatic insects (Goertzen and Suhling, 2013; Hill et al., 2015; Deacon et al., 2019). Especially aquatic insects have so far been mostly neglected in urban studies (but see Gledhill et al., 2008; Goertzen and Suhling, 2013; Briers, 2014; Noble and Hassall, 2014; Hassall and Anderson, 2015; Hill et al., 2015).

      Aquatic insects however, have important ecological roles within the food-web of pond ecosystems, such as serving as prey for newts (Joly and Giacoma, 1992), and fish (Peckarsky, 1982; Vidotto-Magnoni and Carvalho, 2009; Glenn and Cormier, 2014), as well as being predators, e.g., on tadpoles (Cummins, 1973; Henrikson, 1990; see Wells, 2007 for review; Hanlon and Relyea, 2013; Müller and Brucker, 2015), but exhibit a wide food range by feeding additionally on phytoplankton, zooplankton, detritus, insect larvae, as well as eggs from newts and fish (Miaud, 1993; Yee, 2010; Culler et al., 2014; Hädicke et al., 2017).

      Many aquatic insects can serve as reliable biological indicators for environmental change, like water pollution (Zapparoli, 1997; Muzón et al., 2019), and are known to be sensitive to ponds’ abiotic conditions, such as oxygen saturation, pH or water temperature (Winter et al., 2002; Simaika and Samways, 2011; Pallarés et al., 2017; Briggs et al., 2019; Jooste et al., 2020). As most aquatic insects have complex amphibiotic life cycles, with aquatic, semiaquatic, and terrestrial/aerial developmental stages, they are sensitive to environmental changes in the aquatic and the terrestrial habitat (Huryn et al., 2008; Smith and Lamp, 2008; Smith et al., 2009). In general, urban ponds are influenced by the effects of many human activities (Urban et al., 2006), such as habitat fragmentation (Johnson et al., 2013), modification and/or habitat loss (Gopal, 2013), or the establishment of invasive species. For instance, a study by Buria et al. (2007) showed that fish deliberately introduced in urban ponds have a direct negative impact on aquatic insect diversity and abundance.

      Amphibians likewise have complex life cycles and are sensitive to environmental change (Catenazzi, 2015). Anuran larvae are predominantly feeding on periphyton and planktonic organisms, whereas newts and their larvae are carnivorous (Harrison, 1987; Griffiths, 1996). Holtmann et al. (2017) show that amphibians respond negatively to built-up areas in the vicinity of their breeding habitats. In particular, species richness decreased due to a loss in habitat connectivity. In contrast, a study of Niemeier et al. (2020) showed how cities might positively affect animals. These authors found that the European Common Frog (Rana temporaria) actually performed better in urban greenspaces with ponds compared to frogs in rural, agricultural areas.

      In our study, we aimed to understand how urbanization affects aquatic insects on the levels of diversity and taxonomic groups. To assess the effects of biotic and abiotic urban pond conditions on aquatic insects, we examined 18 ponds, surrounded by different amounts of built-up area and greenspace, in the city of Berlin, Germany. We predicted aquatic insect abundance, richness, alpha-diversity, and evenness to be affected by ponds’ terrestrial surroundings.

      Based on studies by Buchwald (1992), Gledhill et al. (2008), Briers (2014), and Hill et al. (2015), revealing higher macroinvertebrate diversity in park ponds than in other urban ponds, we assumed (i) aquatic insect abundance and diversity to increase with increasing amount of greenspace, and on the other hand, we predicted lower aquatic insect abundance and diversity in ponds surrounded by high percentage of built-up area (Heino et al., 2017).

      We predicted (ii) the presence and abundance of amphibian larvae to have a positive relation with predatory aquatic insect abundance and diversity measures (Cummins, 1973; Henrikson, 1990; Wells, 2007; Hanlon and Relyea, 2013; Müller and Brucker, 2015). Because periphyton and planktonic organisms are food sources for tadpoles (Harrison, 1987; Griffiths, 1996), we assumed (iii) high chlorophyll-a concentration (indicating phytoplankton biomass), to influence aquatic insects positively due to high habitat quality for tadpoles as aquatic insect prey. In contrast, we anticipated (iv) large predators to have negative effects on aquatic insect abundance and diversity measures, because aquatic insects serve as prey for newts (Joly and Giacoma, 1992), and fish (Peckarsky, 1982; Vidotto-Magnoni and Carvalho, 2009; Glenn and Cormier, 2014).

      Beside land-use effects and biotic interactions, we predicted (v) abiotic water conditions, such as oxygen saturation, pH, and water temperature to impact aquatic insect abundance and diversity measures (Fox and Taylor, 1955; Picot et al., 1993; Verberk and Bilton, 2013; Figure 1). For instance, high pH leads to toxic water conditions (Picot et al., 1993; Tadesse et al., 2004; Tucker and D’Abramo, 2008), and low oxygen saturation might result in aquatic insect mortality (Fox and Taylor, 1955).

      Predictions of biotic and abiotic factors, affecting aquatic insect abundance, genera richness, alpha-diversity, and evenness (A) positively: high amount of greenspace in ponds’ terrestrial surroundings, neutral pH, high oxygen saturation (O2), high tadpole abundance (as prey), high chlorophyll-a concentration (Chl-a, as tadpole food source), and moderate water temperatures (T, thermometer); (B) negatively: high amount of build-up area in ponds’ terrestrial surroundings, acidic or alkali pH, low oxygen saturation (O2), low tadpole abundance (as prey), low chlorophyll-a concentrations (Chl-a, as tadpole food source), high water temperatures (T, thermometer), and the presence of large predators on aquatic insects (newts and fish) (positive and negative feedbacks of biotic and abiotic factors are not considered).

      Because aquatic insects are no functionally homogenous group, we assumed different taxonomic groups of aquatic insects, such as dragonfly larvae (Odonata), adults of aquatic beetles (Coleoptera), and bugs (Heteroptera) to react differently on ponds’ biotic and abiotic conditions, depending on their dominant life cycle in water or terrestrial habitats. Namely, we expected (vi) larvae to be more affected by water conditions because of their exclusively aquatic stages (Corbet, 1999), and (vii) volant adult stages to be more influenced by land-use around ponds, because most aquatic beetles and heteropterans exhibit high flight and dispersal abilities to colonize new habitats as uncolonized ponds (Bilton, 1994; Bilton et al., 2001; Bloechi et al., 2010).

      Materials and methods Study area

      The German city of Berlin (52°31′N, 13°24′E) is covering an area of 891 km2 and supports nearly 3.7 million human inhabitants (Amt für Statistik Berlin-Brandenburg, 2020). Although Berlin is one of the most densely populated cities in Europe, it is simultaneously one of the greenest (Schewenius et al., 2014).

      Study pond selection and urbanization measures

      In late March/early April in 2019 and 2021, we selected ponds in which at least one of three anuran species, the European Common Frog Rana temporaria, the Moor Frog Rana arvalis, and/or the European Common Toad Bufo bufo were present. All three species are known to occur in Berlin (data received from the Stiftung Naturschutz, Berlin), and reproduce in March to April (Kühnel et al., 2017). Their tadpoles feed on periphyton and planktonic organisms (Harrison, 1987). The estimation of chlorophyll-a concentration (reflecting phytoplankton biomass) may thus be used as a proxy for tadpoles’ food availability (Minshall, 1978; Wood and Richardson, 2009).

      We chose ponds surrounded by different amounts of built-up area and greenspace to assess land-use effects. All our ponds were at least partly covered by riparian vegetation like reed, hard stem bulrush, and sedge, and present a comparable hydroperiod, drying up only every few years after sustained precipitation deficit. Twelve of our 18 study ponds are natural, and six are artificial, created between the years 1900 and 1980 (see Table 1).

      List of study ponds (compare Figure 2), given are pond IDs, names, origin with approximate year of creation, pond size, the numbers of funnel traps per sampling campaign, numbers of sampling campaigns per year, and the calculated percentage of greenspace and built-up area in a 1 km buffer zone around the respective pond.

      Pond ID Pond Name Origin and year of creation Size [m2] Numbers of funnel traps Numbers sampling campaigns per year Greenspace area in 1 km buffer [%] Built-up area in 1 km buffer [%]
      2019 2021
      1 Bumpfuhl Natural 2651.33 6 2 2 14.94 44.69
      2 Fasanenpfuhl Artificial (1980) 1247.90 3 2 2 11.15 50.92
      3 Großer Röthepfuhl Natural 2591.84 6 2 0 13.32 61.74
      4 Krummer Pfuhl Natural 3299.91 7 2 2 19.27 66.99
      5 Murellenteich Natural 7667.79 8 2 2 29.49 46.48
      6 Schleipfuhl Natural 7098.91 8 2 0 5.73 83.86
      7 Sperlingsee Natural 3389.42 7 2 0 28.05 57.16
      8 Stadtbruchteich Natural 1487.73 5 2 0 0 0.05
      9 Waldpfuhl Natural 718.02 3 2 2 3.48 38.08
      10 Botanischer Garten Chinateich Artificial (1899) 306.01 4 0 2 10.34 81.97
      11 Botanischer Garten Teich 1 Artificial (1899) 127.08 3 0 2 10.57 81.59
      12 Folienteich Artificial (1980) 276.00 2 0 2 9.8 43.69
      13 Krugpfuhl Natural 788.34 4 0 2 24.78 44.75
      14 Mittelfeldteich Natural 4257.46 10 0 2 6.62 76.72
      15 Pücklerteich Artificial (1900) 3389.86 7 0 2 2.14 43.13
      16 Schwarzer Grundteich Artificial (1915) 445.09 3 0 2 6.36 88.71
      17 Tropfsteinteich Natural 1083.84 4 0 2 35.03 61.78
      18 Vierling Natural 4257.46 7 0 2 5.21 61.27

      We investigated nine ponds in 2019 and 13 ponds in 2021, five ponds were investigated in both years (Figure 2; Table 1). Pond size was determined with QGIS (Version: 3.28; QGIS Development Team, 2021), using habitat type maps (Senatsverwaltung für Stadtentwicklung und Umwelt: Berlin, Germany, 2005). We calculated the percentage of built-up area and greenspace surrounding ponds in a radius of 1 km, by using digital habitat maps available from the city of Berlin (Senatsverwaltung für Stadtentwicklung und Umwelt: Berlin, Germany, 2005) with QGIS (Version: 3.28; QGIS Development Team, 2021). The 1 km buffer zone around ponds was chosen based on studies by Johnson et al. (2013), Dolný et al. (2014), and Niemeier et al. (2020), showing that the 1 km buffer was the most relevant zone for the studied organisms because it covers the approximate distribution of volant aquatic insects and amphibians in urban landscapes. Greenspace was defined as human modified areas, dominated by vegetation (non-sealed surfaces), like private and residential gardens, parks, cemeteries, etc. (Haaland and van den Bosch, 2015; Niemeier et al., 2020). Build-up areas comprised residual or industrial areas, as well as other infrastructure (streets, railways). The percentage of greenspace around ponds ranged from 0 to 35.03%. The percentage of built-up area in the 1 km circle around ponds ranged from 0.05 to 81.07% (Table 1).

      Locations of study ponds in Berlin, sampled in 2019 (yellow dots; n = 4), in 2021 (blue dots; 9), and in both years (orange dots; n = 5). North is indicated by a compass.

      Abiotic data assessment

      Abiotic parameters included oxygen saturation (%), pH, and water temperature (°C). These physical–chemical parameters were measured in situ in all sampling campaigns at a similar time of the day using portable electronic meters (Xylem Analytics Germany Sales GmbH, WTW, Weilheim, Germany; see Table 2 and Supplementary Table B for all measured biotic and abiotic parameters). We additionally assessed electric conductivity simultaneously to water abiotic parameters and found that all studied ponds fall within the freshwater range (Mean: 581.82 ± SD: 477.96 μs/cm).

      Mean and standard deviation of abiotic and biotic parameters along with aquatic insect abundance and biodiversity measures (genera richness, alpha-diversity, evenness) and abundance and genera richness of aquatic insect taxonomic groups (aquatic beetles and heteropterans) in the studied ponds in 2019 (n = 9) and 2021 (n = 13).

      Parameters 2019 Mean ± SD 2021 Mean ± SD
      Abiotic Oxygen Saturation [%] 75.93 ± 20.52 85.18 ± 54.12
      pH 7.32 ± 0.41 7.24 ± 0.67
      Water temperature [°C] 12.97 ± 3.66 19.30 ± 4.93
      Biotic Tadpole abundance [ind./pond] 6.59 ± 10.69 31.29 ± 100.67
      Chlorophyll-a concentration [μg/L] 23.36 ± 27.85 26.07 ± 58.23
      Aquatic insect abundance and diversity measures Abundance 40.94 ± 37.94 14.11 ± 16.55
      Richness 5.39 ± 2.48 3.18 ± 1.79
      Alpha-diversity 1.15 ± 0.54 0.80 ± 0.51
      Evenness 0.67 ± 0.28 0.61 ± 0.35
      Aquatic insect taxonomic groups Aquatic beetles’ abundance 26.17 ± 35.68 6.43 ± 8.27
      Aquatic beetles’ genera richness 3.33 ± 1.89 1.50 ± 1.32
      Aquatic heteropterans abundance 15.56 ± 16.92 4.61 ± 4.28
      Aquatic heteropterans genera richness 1.83 ± 1.21 1.46 ± 1.12
      Biotic data assessment

      Biotic parameters included tadpole abundance, the presence or absence of fish and newts, and chlorophyll-a concentration. We recorded the presence of the anuran species Rana temporaria, Rana arvalis, and Bufo bufo by the presence of mating adults and/or spawn. In both years, we started a first sampling campaign in May, when all tadpoles reached a developmental stage in which they freely move and feed in the water. The second sampling campaign was conducted 3 weeks later, in June, prior to tadpoles’ metamorphosis.

      In order to assess the presence, as well as the abundance of tadpoles, fish, newts and aquatic insects, we used commercial fish funnel traps (28 × 28 × 75 cm; Paladin, Angelplatz.de). We modified the funnel traps by narrowing the entrances with cut-off heads of PET bottle-necks. This makes it more difficult for animals, which entered the trap, to leave again. A former study has shown that modified traps are much more efficient in catching newts (Rödel et al., 2014). The number of funnel traps per pond was adjusted to pond size and pond heterogeneity (presence of different microhabitats; i.e. branches, stones, reeds, and other floating vegetation such as water lilies). In ponds ranging from 127 to 445 m2 surface area (N = 4) we installed two to four funnel traps; in ponds with 718–1,247 m2 (fewer microhabitats; N = 4) three to four funnel traps were used; ponds comprising 1,487–2,651 m2 (N = 3) were equipped with five to six traps; and the largest ponds (3,299–7,667 m2; N = 7) comprised seven to ten funnel traps (Table 1).

      Funnel trapping extended 12 h, from early evening to the next morning. We equipped all traps with pieces of polystyrene, to ensure that one corner of the trap provided access to atmospheric oxygen. All captured animals were identified [amphibians (larvae and adults): species level; insects (larvae and adults): genus level], counted and released. We collected data of all aquatic insects that potentially feed on amphibian larvae [Coleoptera (larvae and adults): Dytiscidae, Hydrophilidae; Hemiptera (adults): Notonectidae, Corixidae, Naucoridae, Nepidae; Odonata (larvae): Aeshnidae, Corduliidae, Aeshnidae, and Gomphidae]. In addition to the funnel trap records we verified the presence or absence of fish and newts in the ponds by observations of surfacing individuals, and dip netting. For further analyses, we used tadpole abundance, calculated as the pooled number of tadpoles from all present anuran species (insect food availability), captured in all funnel traps per pond during a particular sampling campaign (May, June) and year (2019, 2021).

      We determined the chlorophyll-a concentration per pond and sampling campaign as proxy for tadpole food availability (phytoplankton biomass). Water samples were prefiltered through a 100 μm mesh to remove detritus and organisms. These water samples were further filtered onto glassfiber filters (GF/F, Cytiva Europe GmbH, Freiburg, Germany), and then immediately placed inside a glass vessel and stored at −80°C in the dark until further processing. Chlorophyll-a was extracted with 96% ethanol and measured spectrophotometrically (DIN 38 412–16, 1985).

      Aquatic insect abundance, diversity, and taxonomic groups

      To assess aquatic insect abundance, we summed up numbers of all insect specimens, captured in all funnel traps per pond during each sampling campaign per year (N = 1,071). We calculated three measures of biodiversity: genera richness, alpha-diversity, and evenness. For the calculation of insect genera richness, we summed up all captured genera in all funnel traps per pond including both sampling campaign per year (N = 22). We applied Shannon-Wiener-Index (H’ ) Shannon and Weaver, 1949; Spellerberg and Fedor, 2003) for aquatic insect alpha-diversity calculations per pond including both sampling campaigns per year, using the formula:

      H=niNxlnniN

      Where ni is the number of individuals of each genus i, and N is the total number of genera for each pond.

      For aquatic insect genera evenness analyses, we used the Pielou Evenness-Index (E’ ) Pielou, 1969; Hill, 1973) for each sampling campaign per year and pond, by using the formula:

      E=Hlns

      Where H’  is the Shannon-Wiener-Index, and s is the total numbers of genera.

      To assess dragonfly larvae abundance, we summed up numbers of all dragonfly larvae, captured in all funnel traps per pond during each sampling campaign per year (N = 10). We calculated aquatic beetles’ abundance by summarize numbers of all water-and diving beetles captured in all funnel traps per pond during each sampling campaign per year (N = 652). To assess aquatic heteropteran abundance, we summed up numbers of all water heteropterans, captured in all funnel traps per pond during both sampling campaigns and years (N = 409). For aquatic beetle genera richness, and aquatic heteropteran genera richness calculations, we summed up numbers of all water-and diving beetle genera (N = 12), and the genera of aquatic heteropterans (N = 6), captured in all funnel traps during each sampling campaign per year, respectively. We did not calculate dragonfly larvae genera richness due to very low numbers of captured dragonfly larvae.

      Statistical analyses

      We used the R-project, version 4.1.3 (R Core Team, 2022) for all analyses, and ggplot2 (R package ‘ggplot2’; Wickham, 2016) for the visualization of model outputs. For testing normal distribution of our dependent variables (aquatic insect abundance, genera richness, alpha-diversity and evenness, dragonfly larvae abundance, aquatic beetle abundance, aquatic beetle genera richness, aquatic heteropteran abundance, aquatic heteropteran genera richness), we applied Shapiro Wilk tests and histograms. We further tested our response variables for equality of variance, by using the Levene-test. For our models we considered the percentage of built-up area, the percentage of greenspace, tadpole abundance, chlorophyll-a concentration, oxygen saturation, pH, and temperature as independent variables.

      In a next step, we explored our data by testing our dependent (aquatic insect abundance and diversity measures) and independent (biotic and abiotic parameters) variables on outliers, non-linearity, and collinearity/multicollinearity. We found one true outlier in different ponds in the following variables: tadpole abundance, chlorophyll-a concentration, oxygen saturation, pH, and temperature. We chose to keep these outliers in our dataset as they represent natural variation. We thoroughly revised our data prior to statistically analyses and discarded measurement, counting or logging errors. We found no evidence on non-linearity between our dependent and independent variables when applying Ramsey’s RESET test (R package: lmtest; Ramsey, 1969; Krämer and Sonnberger, 1986). Further, we found no collinearity/multicollinearity between our independent variables when applying a correlation matrix.

      The distribution of our dependent variables, representing count data (aquatic insect abundance and genera richness) was explored and tested on overdispersion for a Poisson distribution (Zuur et al., 2009). Because overdispersion was given for aquatic insect abundance, we applied generalized linear mixed-effects models (GLMMs; R package ‘lme4’; Bates et al., 2015) for negative binomial family (R package ‘MASS’; Venables and Ripley, 2002) to analyze biotic and/or abiotic effects on ponds’ aquatic insect abundance.

      Therefore, we used ‘abundance’ as dependent variable and ran two models with ‘built-up area’ or ‘greenspace’ as fixed effects to avoid model overfitting, respectively. In addition, we included chlorophyll-a concentrations ‘chl-a’, ‘tadpole abundance’, the presence or absence of ‘fish’ and ‘newts’, oxygen saturation ‘O2’, ‘pH’, and ‘temperature’ as further fixed effects in both GLMMs. We included ‘sampling year’, ‘sampling campaign’, and ‘pond ID’ as random effects.

      Because overdispersion for a Poisson distribution was not given for aquatic insect genera richness, we applied GLMMs for Poisson family (link function: sqrt) with ‘richness’ as dependent variable and again ‘built-up area’ or ‘greenspace’ as fixed effects for two separate models for analyzing biotic and/or abiotic effects on ponds’ aquatic insect genera richness. Again, we included ‘chl-a’, ‘tadpole abundance’, ‘fish’, ‘newts’, ‘O2’, pH’, and ‘temperature’ as fixed effects and ‘sampling year’, ‘sampling campaign’, and ‘pond ID’ as random effects in both models, respectively.

      To analyze biotic and/or abiotic effects on ponds’ insect genera alpha-diversity and evenness, we ran GLMMs for Gaussian family (link function: identity). Dependent variables were ‘diversity’ and ‘evenness’. In each of the two models we used ‘built-up area’ or ‘greenspace’ as fixed effects, respectively. We included again ‘chl-a’, ‘tadpole abundance’, ‘fish’, ‘newts’, ‘O2’, ‘pH’, and ‘temperature’ as fixed effects and ‘sampling year’, ‘sampling campaign’, and ‘pond ID’ as random effects.

      The distribution of dependent variables, representing count data for taxonomic groups (aquatic beetle and heteropteran abundance and genera richness) was explored and tested on overdispersion for a Poisson distribution (Zuur et al., 2009). Because overdispersion was given for aquatic beetle and heteropteran abundance, we applied generalized linear mixed-effects models (GLMMs; R package ‘lme4’; Bates et al., 2015) for negative binomial family (R package ‘MASS’; Venables and Ripley, 2002) to analyze biotic and/or abiotic effects on ponds’ aquatic insect abundance.

      Therefore, we used ‘aquatic beetle abundance’ and ‘aquatic heteropteran abundance’ as dependent variables for the analyses of biotic and/or abiotic effects, respectively. For each dependent variable, we ran two models with ‘built-up area’ or ‘greenspace’ as fixed effects. Further we included again, ‘chl-a’, ‘tadpole abundance’, ‘fish’, ‘newts’, ‘O2’, pH’, and ‘temperature’ as fixed effects. ‘Sampling year’, ‘sampling campaign’, and ‘pond ID’ were included as random effects in both models, respectively.

      Because overdispersion for a Poisson distribution was not given for aquatic beetle and heteropteran genera richness, we applied GLMMs for Poisson family (link function: sqrt) with ‘aquatic beetle genera richness’, and ‘aquatic heteropteran genera richness’ as response variables for the analyses of biotic and/or abiotic effects, respectively. For each dependent variable, we ran two models with ‘built-up area’ or ‘greenspace’ as fixed effects. Further we included ‘chl-a’, ‘tadpole abundance’, ‘fish’, ‘newts’, ‘O2’, pH’, and ‘temperature’ as fixed effects, and included ‘sampling year’, ‘sampling campaign’, and ‘pond ID’ as random effects in both models.

      Results

      We captured a total of 20 and 16 genera of predatory aquatic insects in 2019 and 2021, respectively. The genera belonged to the orders Coleoptera (Dytiscidae, Hydrophilidae); Hemiptera (Notonectidae, Corixidae, Naucoridae, Nepidae); and Odonata (Aeshnidae, Corduliidae, Aeshnidae, Gomphidae). Numbers of captured insects per pond and sampling campaign are provided in Supplementary Table B.

      Abiotic and biotic parameters varied substantially across ponds and sampling years. Water temperature varied three to nearly fivefold, oxygen saturation up to fiftyfold, whereas pH showed small variations. The numbers of tadpoles, however, varied ten to hundredfold, and the concentration of chlorophyll-a varied up to nearly sixtyfold. Aquatic insect abundance and diversity measures, such as genera richness, alpha-diversity, and evenness, as well as abundance and genera richness of the taxonomic groups’ aquatic beetles and heteropterans showed huge variation in ponds, such as abundance of aquatic insects varied over thirtyfold (see Table 2).

      When considering the random effects ‘sampling year’ (2019, 2021), ‘sampling campaign’ (May, June), and ‘pond ID’, the percentage of ‘built-up area’ surrounding ponds did not have significant associations with alpha-diversity and evenness of aquatic insect genera (Supplementary Tables A3, A4). In contrast, we revealed a trend to a negative effect on aquatic insect abundance and genera richness when ‘built-up area’ increased (Figure 3A; Supplementary Tables A1, A2). The amount of ‘greenspace’ had no significant relation with either aquatic insect genera richness, alpha-diversity or evenness. However, we found a trend to a positive association between increasing amount of ‘greenspace’ and increasing aquatic insect abundance (Figure 3B; Supplementary Tables A1–A4).

      We found trends to positive effects of high ‘tadpole abundance’ on aquatic insect genera richness and alpha-diversity. This positive trend was visible in both GLMMs, run for ‘built-up area’ and ‘greenspace’, respectively (Supplementary Tables A2, A3). We did not find associations between ‘tadpole abundance’ and aquatic insect abundance and evenness in either model (Supplementary Tables A1, A4).

      The concentration of ‘chl-a’ correlated negatively with aquatic insect abundance in the model run for ‘greenspace’, and a negative trend was visible in the model run for ‘built-up area’ (Figure 3C; Table 3; Supplementary Table A1). ‘Chl-a’ did not have effects on aquatic insect genera richness, alpha-diversity and evenness (Supplementary Tables A2–A4).

      Aquatic insect abundance in individuals per pond influenced by (A) built-up area, (B) greenspace (C) chlorophyll-a concentration, (D) presence or absence of fish, (E) oxygen saturation, and (F) pH in ponds. Dot plots for count data are shown for the sampling years 2019 (dots; n = 9) and 2021 (triangles; n = 13), and sampling campaigns May (red color) and June (gray color). Boxplots show insect abundance in ponds without (gray) and with the presence of fish (purple). Numbers below boxplots show sample sizes. p-values are given for generalized linear mixed effect model results for built-up area and greenspace (Icons) with sampling year (2019, 2021), sampling campaign (May, June), and pond ID as random effects. Icons in brackets describe examined trends.

      Summary statistics of significant generalized linear mixed effects models testing the effect of fixed effects on aquatic insect abundance, genera richness, alpha-diversity and evenness (see non-significant model results in Supplementary Tables A1–A8 in Supplementary material).

      Dependent variable Model Independent variable SE z-value p-value
      Aquatic insect abundance Built-up area Built-up area 0.008 −1.993 0.046
      Fish 0.405 −4.687 < 0.001
      O2 0.003 −2.192 0.028
      pH 0.256 2.225 0.026
      Greenspace Chl-a 0.003 2.173 0.030
      Fish 0.443 −4.942 < 0.001
      O2 0.003 −2.243 0.025
      pH 0.258 2.231 0.026
      Aquatic insect genera richness Built-up area O2 0.002 −2.382 0.017
      pH 0.183 2.629 0.009
      Greenspace Fish 0.243 −2.361 0.018
      O2 0.003 −2.279 0.023
      pH 0.176 2.435 0.015
      Aquatic insect alpha-diversity Built-up area O2 0.003 −2.345 0.019
      pH 0.169 3.670 <0.001
      Greenspace O2 0.003 −2.449 0.014
      pH 0.170 3.582 <0.001
      Aquatic insect evenness Built-up area pH 0.109 3.026 0.002
      Greenspace O2 0.002 −2.011 0.044
      pH 0.105 3.134 0.002

      We also found presence of ‘fish’ having negative effects on aquatic insect abundance in both GLMMs, run for ‘built-up area’ and ‘greenspace’, respectively (Figure 3D; Table 3; Supplementary Table A1). Aquatic insect genera richness was negatively affected by the presence of ‘fish’ in GLMM for ponds surrounded by ‘greenspace’, but only a trend to a negative association was visible when running the model with amount of ‘built-up area’ (Figure 4A; Table 3; Supplementary Table A2). ‘Fish’ did not correlate with aquatic insect alpha-diversity and evenness (Supplementary Tables A3, A4), neither did ‘newts’ affect aquatic insect abundance or any of our diversity measures (genera richness, alpha-diversity, and evenness; Supplementary Tables A1–A4).

      Aquatic insect genera richness in genera per pond influenced by (A) presence or absence of fish, (B) oxygen saturation (O2), and (C) pH in ponds. Boxplots show insect genera richness in ponds without (gray) and with the presence of fish (purple). Numbers below boxplots show sample sizes. Dot plots for count data are shown for the sampling years 2019 (dots; n = 9) and 2021 (triangles; n = 13), and sampling campaigns May (red color) and June (gray color). p-values are given for generalized linear mixed effect model results for built-up area and greenspace (Icons) with sampling year (2019, 2021), sampling campaign (May, June), and pond ID as random effects. Icons in brackets describe examined trends.

      Oxygen saturation showed negative effects on aquatic insect abundance (Figure 3E), genera richness (Figure 4B), and alpha-diversity (Figure 5A) in both models, with ‘built-up area’ and ‘greenspace’ (Table 3; Supplementary Tables A1–A3). We further revealed a significant negative correlation between high ‘O2’ saturations and insect genera evenness in GLMM run for ‘greenspace’, and a trend towards a negative correlation in the model run for ‘built-up area’ (Figure 5C; Table 3; Supplementary Table A4).

      Aquatic insect genera alpha-diversity (A,B), and evenness (C,D) influenced by oxygen saturation (O2) (A,C), and pH (B,D). Smoothed regression lines are shown for the sampling years 2019 (n = 9) and 2021 (n = 13). Points show different sampling campaigns (blue triangles: May; black dots: June). p-values are given for generalized linear mixed effect model results for built-up area and greenspace (Icons) with sampling year (2019, 2021), sampling campaign (May, June), and pond ID as random effects. Icons in brackets describe examined trends.

      High ‘pH’ values correlated negatively with aquatic insect abundance in both models (‘built-up area’ and ‘greenspace’; Figure 3F; Table 3; Supplementary Table A1). In contrast, insect genera richness, alpha-diversity, and evenness increased with increasing ‘pH’ values, independent of ‘built-up area’ and ‘greenspace’ (Figures 4C, 5B,D; Table 3; Supplementary Tables A2–A4). Our results revealed no significant effects of ‘temperature’ on aquatic insect abundance or any of the diversity measures in both models (Supplementary Tables A1–A4).

      Contrary to our expectations, ponds’ terrestrial surroundings did only affect aquatic beetles’ abundance but not our diversity measures. However, diversity measures were affected by ponds biotic and abiotic conditions.

      Because aquatic insects exhibit different life cycles, dominant in water or terrestrial habitats, in a second step, we examined aquatic insects regarding their taxonomic groups to understand their sensitivity to land-use and/or to biotic and abiotic water conditions. We examined aquatic beetles (Coleoptera) and bugs (Heteropteran), applying their abundance and genera richness. Due to the very low sample size of dragonfly larvae (Odonata; N = 10), captured in ponds during both sampling years, we excluded the analyses of dragonfly larvae abundance and genera richness.

      When considering the random effects ‘sampling year’ (2019, 2021), ‘sampling campaign’ (May, June), and ‘pond ID’, we observed increasing aquatic beetle abundance (Figure 6B; Table 4; Supplementary Table A5) and genera richness (Figure 6D; Table 4; Supplementary Table A6) in ponds with increasing percentage of surrounded ‘greenspace’. We detected a trend towards a negative effect of increasing ‘built-up area’ on aquatic beetles’ abundance (Figure 6A; Supplementary Table A5), and a negative association with aquatic beetles’ genera richness (Figure 6C; Table 4; Supplementary Table A6). Aquatic heteropteran abundance and genera richness was neither affected by ‘greenspace’, nor ‘built-up area’ around ponds (Supplementary Tables A7, A8).

      Aquatic beetles’ abundance in individuals per pond, influenced by the percentage of (A) built-up area and (B) greenspace around ponds, and aquatic beetles genera richness in genera per pond, influenced by (C) built-up area and (D) greenspace, 1  km around ponds, respectively. Dot plots for count data are shown for the sampling years 2019 (dots; n = 9) and 2021 (triangles; n = 13), and sampling campaigns May (red color) and June (gray color). p-values are given for generalized linear mixed effect model results for built-up area and greenspace (Icons) with sampling year (2019, 2021), sampling campaign (May, June), and pond ID as random effects. Icons in brackets describe examined trends.

      Summary statistics of significant generalized linear mixed effects models testing the effect of fixed effects on aquatic beetle abundance and genera richness, and aquatic heteropterans abundance and genera richness (see non-significant model results in Supplementary Tables A1–A8 in Supplementary material).

      Dependent variable Model Independent variable SE z-value p-value
      Aquatic beetle abundance Built-up area Chl-a 0.004 2.230 0.023
      Fish 0.663 −4.459 < 0.001
      O2 0.004 −2.463 0.014
      pH 0.328 3.248 0.001
      Greenspace Greenspace < 0.001 2.842 0.005
      Chl-a < 0.001 2.882 0.004
      Fish < 0.001 −5.492 < 0.001
      O2 < 0.001 −2.665 0.008
      pH < 0.001 3.218 0.002
      Aquatic beetle genera richness Built-up area Built-up area 0.004 −2.493 0.013
      Fish 0.216 −3.597 < 0.001
      pH 0.169 2.638 0.008
      Greenspace Greenspace 0.009 2.350 0.019
      Fish 0.230 −4.536 < 0.001
      pH 0.170 2.268 0.023
      Temperature 0.015 −2.295 0.022
      Newts 0.587 2011 0.044
      Aquatic heteropteran genera richness Greenspace O2 0.003 −2.016 0.044
      pH 0.194 2.061 0.039

      ‘Tadpole abundance’ had neither significant associations with aquatic beetle abundance and genera richness (Supplementary Tables A5, A6), nor with aquatic heteropteran abundance and genera richness (Supplementary Tables A7, A8). The lack of effects was visible in both GLMMs, run for ‘built-up area’ and ‘greenspace’, respectively.

      In both models, with ‘built-up area’ and ‘greenspace’, we found decreasing beetles’ abundance with increasing concentration of ‘chl-a’ (Table 4; Supplementary Table A5), whereas we found no significant relation to aquatic beetles genera richness (Supplementary Table A6). ‘Chl-a’ concentrations had no significant effects on aquatic heteropteran abundance and genera richness, independent of ponds’ terrestrial surroundings (Supplementary Tables A7, A8).

      In both models, with ‘built-up area’ and ‘greenspace’, the presence of ‘fish’ affected aquatic beetle abundance and genera richness negatively (Table 4; Supplementary Tables A5, A6), whereas we found no significant associations with aquatic heteropteran abundance and genera richness (Supplementary Tables A7, A8). The presence of ‘newts’ had neither effect on aquatic beetles’ abundance and genera richness (Supplementary Tables A5, A6), nor on heteropteran abundance and genera richness (Supplementary Tables A7, A8). The lack of effects was visible in both GLMMs, run for ‘built-up area’ and ‘greenspace’, respectively.

      In both models, with ‘built-up area’ and ‘greenspace’, we found decreasing beetles’ abundance with increasing oxygen saturation ‘O2’ (Table 4; Supplementary Table A5), and trends to negative correlations on aquatic beetle genera richness (Supplementary Table A6). Oxygen saturation ‘O2’ was not significantly associated with aquatic heteropteran abundance, independent of ponds’ terrestrial surroundings (Supplementary Table A7). However, we revealed a negative correlation between increasing oxygen saturation ‘O2’ and heteropterans genera richness in ponds surrounded by ‘greenspace’ (Table 4; Supplementary Table A8), and a trend towards a negative correlation in ponds surrounded by ‘built-up area’ (Supplementary Table A8).

      We found positive associations between increasing ‘pH’ and increasing aquatic beetles’ abundance and genera richness, independent on ponds terrestrial surroundings (Table 4; Supplementary Tables A5, A6). In contrast, ‘pH’ had no significant relation to aquatic heteropteran abundance in both models (Supplementary Table A7). However, we found a positive effect on heteropterans genera richness in ponds surrounded by ‘greenspace’ (Table 4; Supplementary Table A8), as well as a trend for a positive effect of increasing ‘pH’ on heteropteran genera richness in ponds surrounded by ‘built-up area’ (Supplementary Table A8).

      We found no significant relation between water ‘temperature’ and aquatic beetle abundance in ponds surrounded by ‘built-up area’ and ‘greenspace’ (Supplementary Table A5). However, we found a negative effect of increasing ‘temperature’ on aquatic beetle genera richness in ponds surrounded by ‘greenspace’, but no significant association with ponds surrounded by ‘built-up area’ (Table 4; Supplementary Table A6). Ponds’ water ‘temperature’ had no significant effects on aquatic heteropteran abundance and genera richness, independent of ponds’ terrestrial surroundings (Supplementary Tables A7, A8). As expected, our results showed different aquatic insect taxonomic groups to be affected differently by ponds surrounded land-use, as well as biotic and abiotic conditions within ponds.

      Discussion

      Urbanization leads to modifications of the environment in order to serve humans as living space (Antrop, 2000; McIntyre, 2000). These drastic environmental changes also influence urban ponds (Urban et al., 2006; Gopal, 2013; Johnson et al., 2013). Due to their complex amphibiotic life cycle, aquatic insects are sensitive to aquatic and terrestrial environmental changes (Huryn et al., 2008; Smith and Lamp, 2008; Smith et al., 2009), and play important roles in pond food-webs (Cummins, 1973; Peckarsky, 1982; Joly and Giacoma, 1992; Vidotto-Magnoni and Carvalho, 2009; Glenn and Cormier, 2014). In our study, we aimed to know which biotic and abiotic conditions affect aquatic insect abundance and diversity measures, such as genera richness, alpha-diversity, and evenness in urban ponds surrounded by different amounts of greenspace and built-up area. Further, we aimed to understand if abundance and genera richness of different aquatic taxonomic groups (aquatic beetles, aquatic heteropterans, and dragonfly larvae) were affected differently by biotic and abiotic conditions.

      We predicted high amount of built-up area around ponds to negatively affect different insect groups and their diversity, mainly due to unsuitability of the terrestrial habitats (Heino et al., 2017). In contrast, we assumed high amount of greenspace to have positive effects on aquatic insects, due to higher habitat quality for the terrestrial live stages (Buchwald, 1992; Gledhill et al., 2008; Briers, 2014; Hill et al., 2015). However, our results revealed that ponds’ terrestrial surroundings did not significantly influence aquatic insect diversity measures in our urban ponds. We found trends to negative effects of higher amount of built-up area around ponds on aquatic insect abundance and genera richness, as well as a trend to a positive effect on aquatic insect abundance in ponds surrounded by higher amounts of greenspace. This might hint on habitat loss and fragmentation, connected with a high percentage of built-up area, negatively impacting some aquatic insects in colonizing urban ponds (Smith et al., 2009), and/or that altered terrestrial urban habitats are less hospitable than unaltered ones for aquatic insects with terrestrial development stages. Terrestrial habitat alteration was shown to directly affect adult development, survival and mating success in aquatic insects (Smith et al., 2009), a finding that is further confirmed by studies of Gledhill et al. (2008), Briers (2014), and Hill et al. (2015). The latter studies showing lower macroinvertebrate diversity in ponds located in highly urbanized areas, compared to park ponds.

      However, aquatic insects are not a functionally homogenous group. This particularly concerns the duration and the use of aquatic versus terrestrial environments throughout their life cycle. In a second step, we thus examined aquatic beetles, aquatic heteropterans, and dragonfly larvae separately. Unfortunately, the numbers of dragonfly larvae were too low to allow for in-depth analyses (but see below). Concerning the two other taxonomic groups, we found that land-use affected aquatic beetles and heteropterans differently. Our results showed that high amounts of built-up area around ponds tended to decrease aquatic beetles’ abundance (trend) and genera richness (significant), whereas more greenspace around ponds was positively associated with beetle abundance and genera richness. By contrast, aquatic heteropterans abundance and genera richness was affected neither by built-up area, nor by greenspace around ponds.

      Our finding is an indication that aquatic beetles and heteropterans differ in their (terrestrial) habitat demands and/or flight and dispersal abilities. Most species in both taxonomic groups are known to have high flight and dispersal abilities as adults, an important trait to find and colonize new ponds (Bilton, 1994; Bilton et al., 2001; Bloechi et al., 2010). Biswas et al. (1995) and Bloechi et al. (2010) showed, that many aquatic beetles prefer small waterbodies with high amount of aquatic vegetation for egg laying and hiding, and that a (narrow) belt of vegetation around ponds was sufficient (Bloechi et al., 2010). Ponds in greenspaces have higher amounts of vegetation in their surroundings than ponds in areas with a high percentage of built-up area, and thus might provide more suitable habitats for aquatic beetles. Moreover, most aquatic beetles are known to prefer colonizing older over more recent ponds (Bloechi et al., 2010), further indicating the importance of aquatic and riparian vegetation. By contrast, many aquatic heteropterans are described to be ubiquitous (Hebauer, 1988; Bloechi et al., 2010), as pioneer species (Nilsson and Danell, 1981), preferring waterbodies with a high percentage of open water (Bloechi et al., 2010), a characteristic mainly shown by newly established ponds. Therefore, we assume that the colonizing process of ponds by heteropterans is less dependent on ponds’ terrestrial surroundings.

      In contrast to the previous two insect groups, the abundance of dragonfly larvae in ponds is influenced by land-use of ponds surroundings (Goertzen and Suhling, 2013). This is not surprising as adult dragonflies, in contrast to aquatic beetles and heteropterans, spend more time in the terrestrial environment for, e.g., maturation of gonads, feeding and mating (Córdoba-Aguilar, 2008). However, based on the extremely low number of dragonfly larvae detected in our study, we found no effects of built-up area and greenspace around ponds. This low number per se however, is a clear indication that urban ponds are low quality habitats for dragonflies, as described in a study by Goertzen and Suhling (2013). We exclude the possibility that our trapping method was responsible for the low captures, as in the study by Hampton and Duggan (2003), funnel traps were successfully applied for capturing dragonfly larvae, and in other own studies (outside towns), we could catch huge numbers of dragonfly larvae in particular from species of the families Aeshnidae and Libellulidae (M.-O.-Rödel, unpubl. data).

      In our study, we focused on macroinvertebrates that are known to predate on amphibian larvae (Henrikson, 1990; Wells, 2007; Hanlon and Relyea, 2013; Müller and Brucker, 2015), including on the toxic tadpoles of the common toad (Henrikson, 1990). We predicted a high availability on aquatic insect prey, such as high tadpole abundance, to have a positive effect on aquatic insect diversity measures and in all predatory taxa. We found that high tadpole abundance was not associated with high aquatic insect abundance, independent of ponds’ respective terrestrial surrounding. However, our results revealed trends towards positive effects of tadpole abundance on aquatic insect genera richness and alpha-diversity, in ponds surrounded by ‘built-up area’ and ‘greenspace’. Thus, there might be a relationship between high tadpole abundance and the numbers of predatory aquatic insect genera and their diversity. This relationship might be an indication that high tadpole abundance apparently contributes to a good/advantageous habitat for some predatory aquatic insects (Hanlon and Relyea, 2013; Müller and Brucker, 2015). By contrast, we found that aquatic beetles and heteropterans abundance and genera richness were not affected by high tadpole abundance in ponds, in neither land-use type, showing that our positive trends found in total aquatic genera richness and alpha-diversity were not reflected in our taxonomic groups. These might hint on, that tadpoles are not the predominant prey for many aquatic beetles and heteropterans and/or their different life stages. Although aquatic beetles and heteropterans are known to prey on tadpoles (Henrikson, 1990; Klecka and Boukal, 2012; Hanlon and Relyea, 2013; Müller and Brucker, 2015), the study by Klecka and Boukal (2012) described aquatic beetles to prefer cladocerans and dipteran larvae. Aquatic heteropterans, with sucking mouthparts and often using toxins, are known to additionally prey on other adult insects, insect larvae, amphibian and fish eggs, and some are also known to be omnivorous to feeding additionally on algae and detritus (Miaud, 1993; Yee, 2010; Culler et al., 2014; Hädicke et al., 2017). A further factor reducing predation rates of aquatic insects on tadpoles is aquatic vegetation (Klopp et al., 2006). Our study ponds were, at least partly, covered by riparian vegetation such as reed, hard stem bulrush, and sedge as well as emergent plants that might serve as refuges for tadpoles and prevent predation.

      We predicted that the presence of large (vertebrate) predators, such as newts and fish, to negatively influence aquatic insect abundance, genera richness, alpha-diversity, and evenness, because species of both groups prey on aquatic insects (Peckarsky, 1982; Joly and Giacoma, 1992; Vidotto-Magnoni and Carvalho, 2009; Glenn and Cormier, 2014). Whereas newts are natural predators in ponds (Griffiths, 1996), most fish usually do not occur in stagnant and often temporary waters. They are however, deliberately released by humans, and negatively affect aquatic insect abundance and diversity (Buria et al., 2007). Our results confirmed this general knowledge. We verified the presence of fish in six of our 18 ponds (although all ponds were believed to be fish-free; data from the Stiftung Naturschutz, Berlin). A negative effect of the presence of fish on aquatic insect abundance was observed in ponds surrounded by built-up area and greenspace. Aquatic insect genera richness was negatively affected by fish in ponds surrounded by greenspace, and a similar trend was observed in ponds surrounded by built-up area. Thus, the presence of fish reduced the abundance and genera richness of aquatic insects in ponds, but did not have an influence on aquatic insect alpha-diversity and evenness. The reason why the presence of fish only impacted aquatic insect abundance and genera richness negatively, might be due to selective predation of fish on aquatic insects. Aquatic beetles (adults and larvae) and dragonfly larvae have strong mandibles (Peckarsky, 1982). Many heteropterans are able to sting with their proboscis (Peckarsky, 1982). This might lead fish to prey selectively on aquatic insects that are less well fortified. This assumption was supported by our findings when comparing the impact on beetles and heteropterans, respectively: fish negatively affected aquatic beetle abundance and genera richness, in both land-use types, but not aquatic heteropterans. Thus, fish indeed seem to prefer aquatic beetles over aquatic heteropterans (Peckarsky, 1982). The lack of effects of newts on aquatic insect abundance, diversity measures and on both taxonomic groups might as well be explained by defensive capabilities of our studied insect groups, but probably even more by a simple size relationship of predators to prey. Gape limitations would allow newts (mostly Smooth Newts, Lissotriton vulgaris) to only devour comparatively small insects.

      The main food resource of tadpoles is periphyton and planktonic organisms (Harrison, 1987). Hence, we used in our study the concentration of chlorophyll-a as a proxy for phytoplankton biomass to make assertions on tadpoles’ food availability and habitat suitability in ponds (Minshall, 1978; Wood and Richardson, 2009). Therefore, we assumed higher tadpole abundance in ponds with higher chlorophyll-a concentrations. Because our study aquatic insects feed on tadpoles, we assumed higher tadpole abundance, in turn, to have positive effects on aquatic insects. However, we found high chlorophyll-a concentration to affect aquatic insect abundance, and aquatic beetles’ abundance negatively. Thus, abiotic parameters connected to algal growth, might override the potentially positive effects of high amounts of plankton on aquatic insects.

      More algae increase photosynthetic activity in ponds (Picot et al., 1993; Ouarghi et al., 2000; Arbib et al., 2017). Our results showed that increasing oxygen saturation leads to decreasing aquatic insect abundance, richness, alpha-diversity, and evenness in both land-use types. This was also true if aquatic beetles (abundance) and heteropterans (genera richness) were examined separately. Eight of our 18 ponds showed, at least in one sampling campaign, oxygen saturation exceeding 100%, one pond even exceeded 200%. Such oversaturation can be explained by the very fast generation of oxygen through algae (Picot et al., 1993; Ouarghi et al., 2000; Arbib et al., 2017). Oxygen oversaturation however, leads to unbalanced pond conditions, which might result in oxygen toxicity for some aquatic insects (Fox and Taylor, 1955).

      We also tested the impact of pH. Our results showed that increasingly basic water affected aquatic insect abundance negatively, whereas genera richness, alpha-diversity, and evenness were affected positively, independent on ponds terrestrial surroundings. Concerning beetles and heteropterans, increasing pH affected aquatic beetle abundance, genera richness and aquatic heteropterans genera richness positively, while heteropteran abundance was not affected. Ponds pH usually range from 6 to 8.5 pH, and if not influenced by high levels of biological activity, seldom reach pH exceeding 8.5 (Tucker and D’Abramo, 2008). In ponds with high levels of biological activity, such as high biomass of algae and/or fish, pH can exceed 8.5, resulting in chemical imbalance, what may create toxic conditions (Picot et al., 1993; Tadesse et al., 2004; Tucker and D’Abramo, 2008). In our ponds, pH ranged from 6.38 to 9.12, thus one pond exceeds a pH of 9. Our results might indicate that predatory aquatic insects in Berlin ponds might be dominated by species that are tolerant to slightly increased ponds’ pH.

      As ectotherms, aquatic insects might benefit from warmer water that influence, e.g., metabolism and growth positively (Verberk and Bilton, 2013). However, water temperature did not have any effects on overall aquatic insect abundance and diversity measures, and likewise did not influence heteropterans. However, we found increasing temperature to negatively affect aquatic beetles’ genera richness in ponds surrounded by high amounts of greenspace. Our findings indicate that most aquatic insects might be tolerant to increasing water temperatures, independent on ponds’ surrounded areas, at least within the temperature ranges observed herein. However, some beetle genera showed low tolerances to increasing temperatures (Verberk and Bilton, 2013). The temperatures in our ponds across both sampling years ranged from 8.20 to 27.60°C.

      In conclusion, our results showed that biological interactions and abiotic water conditions override urban effects of ponds’ terrestrial surroundings on aquatic insect diversity measures. However, when considering aquatic insects at the (functional) level of taxonomic groups, they respond differently to different land-use types around ponds, depending on their degree of ecological specialization and preferences.

      Data availability statement

      The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.

      Author contributions

      M-OR, SK, GO, and FG contributed to conception and design of the study. SK, FG, and GO organized the database. SK performed the statistical analysis and wrote the first draft of the manuscript. GO wrote sections of the manuscript. All authors contributed to the article and approved the submitted version.

      Funding

      This work was funded by the German Federal Ministry of Education and Research BMBF within the Collaborative Project Bridging in Biodiversity Science—BIBS (funding number: 16LC1501F1).

      Conflict of interest

      The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

      Publisher’s note

      All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

      We thank Stephanie Niemeier (Museum für Naturkunde, Berlin) for organization and support during fieldwork in 2019; Anne Hiller (Technische Universität, Berlin) for land-use calculations of the study ponds; Carlos Acame and Dorith Henning for logistic and technical support (ZALF) and Susanne Bengsch and Steven Lischke (Stiftung Naturschutz, Berlin) for providing information about amphibian occurrences at Berlin ponds. The permission for sampling invertebrates in Berlin was issued by Senatsverwaltung für Umwelt, Mobilität, Verbraucher-und Klimaschutz, City of Berlin.

      Supplementary material

      The Supplementary material for this article can be found online at: /articles/10.3389/fevo.2023.1121400/full#supplementary-material

      References Amt für Statistik Berlin-Brandenburg. Berlins Einwohnerzahl Stagniert; (2020). Available at: https://www.statistik-berlin-brandenburg.de/pms/2021/21-02-10.pdf. (Accessed February 27, 2021). Antrop M. (2000). Changing patterns in the urbanized countryside of Western Europe. Landsc. Ecol. 15, 257270. doi: 10.1023/A:1008151109252 Arbib Z. de Godos Crespo I. Corona E. L. (2017). Understanding the biological activity of high rate algae ponds through the calculation of oxygen balances. Appl. Microbiol. Biotechnol. 101, 51895198. doi: 10.1007/s00253-017-8235-3 Bates D. Mächler M. Bolker B. Walker S. (2015). Fitting linear mixed-effects models using lme4. J. Stat. Softw. 67, 148. doi: 10.18637/jss.v067.i01 Biggs J. P. Williams M. Whitfield N. P. Weatherby A. (2005). 15 years of pond assessment in Britain: results and lessons learned from the work of pond conservation. Aquat. Conserv.: mar. Freshw. Ecosyst. 15, 693714. Bilton D. (1994). The flight apparatus and flying ability of Hydroporus glabriusculus (Coleoptera, Dytiscidae), with a brief review of structural modifications in flightless beetles. Entomol. Tidskr. 115, 2332. Bilton D. T. Freeland J. R. Okamura B. (2001). Dispersal in freshwater invertebrates. Annu. Rev. Ecol. Syst. 32, 159181. doi: 10.1146/annurev.ecolsys.32.081501.114016 Biswas S. Mukhoupadhyay P. Saha S. K. (1995). “Insecta: Coeloptera: Adephaga, family Dystiscidae”, in state fauna series 5: fauna of West Bengal, Z. S. I. CAL 5, 77120. Blair R. B. Launer A. E. (1997). Butterfly diversity and human land use: species assemblages along an urban gradient. Biol. Conserv. 80, 113125. doi: 10.1016/S0006-3207(96)00056-0 Blakely T. J. Harding J. S. Mcintosh A. R. Winterbourn M. J. (2006). Barriers to the recovery of aquatic insect communities in urban streams. Freshw. Biol. 51, 16341645. doi: 10.1111/j.1365-2427.2006.01601.x Bloechi A. Koenemann S. Philippi B. Melber A. (2010). Abundance, diversity and succession of aquatic Coleoptera and Heteroptera in a cluster of artificial ponds in the north German lowlands. Limnologica 40, 215225. doi: 10.1016/j.limno.2009.08.001 Brand A. B. Snodgrass W. J. (2009). Value of artificial habitats for amphibian reproduction in altered landscapes. Biol. Conserv. 24, 295301. doi: 10.1111/j.1523-1739.2009.01301.x Briers R. A. (2014). Invertebrate communities and environmental conditions in a series of urban drainage ponds in eastern Scotland: implications for biodiversity and conservation value of SUDS. Clean–Soil Air Water 42, 193200. doi: 10.1002/clen.201300162 Briggs J. A. Pryke S. J. Samways J. M. Conlong E. D. (2019). Complementary among dragonflies across a pondscape in a rural landscape mosaic. Insect Conserv. Divers. 12, 241250. doi: 10.1111/icad.12339 Buchwald R. (1992). Vegetation and dragonfly fauna characteristics and examples of biocenological field studies. Vegetatio 10, 99107. doi: 10.1007/BF00033195 Buria L. Albariño R. Villanueva V. D. (2007). Impact of exotic rainbow trout on the benthic macroinvertebrate community from Andean-Patagonian headwater streams. Fundam. Appl. Limnol. 168, 145154. doi: 10.1127/1863-9135/2007/0168-0145 Catenazzi A. (2015). State of the world’s amphibians. Annu. Rev. Environ. Resour. 40, 91119. doi: 10.1146/annurev-environ-102014-021358 Colding J. Lundberg J. Lundberg S. Andersson E. (2009). Golf courses and wetland fauna. Ecol. Appl. 19, 14811491. doi: 10.1890/07-2092.1 Corbet P. S. (1999). Dragonflies: Behavior and Ecology of Odonata. Harley Books, Colchester, 829. Córdoba-Aguilar A. (2008). Dragonflies and Damselflies. Model Organisms for Ecological and Evolutionary Research. Oxford: Oxford University Press. Culler L. E. Ohba S. Crumrine P. (2014). “Predator-prey interactions of Dytiscids” in Ecology, Systematics, and the Natural History of Predaceous Diving Beetles (Coleoptera: Dytiscidae). ed. Yee D. A. (Dordrecht: Springer), 363386. Cummins W. K. (1973). Trophic relations of aquatic insects. Annu. Rev. Entomol. 18, 183206. De Meester L. Declerck S. Stoks R. Louette G. Van De Meutter F. De Bie T. . (2005). Ponds and pools as model systems in conservation biology, ecology and evolutionary biology. Aquat. Conserv: Mar. Freshw. Ecosyst. 15, 715725. doi: 10.1002/aqc.748 Deacon C. Samways J. M. Pryke S. J. (2019). Aquatic insects decline in abundance and occupy low-quality artificial habitats to survive hydrological droughts. Freshw. Biol. 64, 16431654. doi: 10.1111/fwb.13360 DIN 38 412–16 (1985). German Standard Methods for the Examination of Water, Waste Water and Sludge; Test Methods Using Water Organisms (Group L); Determination of Chlorophyll-a in Surface Water (L 16). Deutsches Institut für Normung, Beuth Verlag GmbH, Berlin, p. 8. Dolný A. Harabiš F. Mižičová H. (2014). Home range, movement, and distribution patterns of the threatened dragonfly Sympetrum depressiusculum (Odonata: Libellulidae): a thousand times greater territory to protect? PLoS One 9:e100408. doi: 10.1371/journal.pone.0100408 Dudgeon D. Arthington H. A. Gessner O. M. Kawabata Z.-I. Knowler J. D. Lévêque C. . (2006). Freshwater biodiversity: importance, threats, status and conservation challenges. Biol. Rev. 81, 163182. doi: 10.1017/S1464793105006950, PMID: 16336747 Fontana S. Sattler T. Bontadina F. Moretti M. (2011). How to manage the urban green to improve bird diversity and community structure. Landsc. Urban Plan. 101, 278285. doi: 10.1016/j.landurbplan.2011.02.033 Fox H. M. Taylor R. E. A. (1955). The tolerance of oxygen by aquatic invertebrates. Proc. Royal Soc. B. 143, 214225. doi: 10.1098/rspb.1955.0006 Gee J. H. R. Smith B. D. Lee K. M. Griffiths S. W. (1997). The ecological basis of freshwater pond management for biodiversity. Aquat. Conserv.: mar. Freshw. Ecos. 7, 91104. doi: 10.1002/(SICI)1099-0755(199706)7:2<91::AID-AQC221>3.0.CO;2-O Gledhill D. G. James P. Davies H. D. (2008). Pond density as a determinant of aquatic species richness in an urban landscape. Landsc. Ecol. 23, 12191230. doi: 10.1007/s10980-008-9292-x Glenn W. S. Cormier S. M. (2014). Why care about aquatic insects: uses, benefits, and services. Integr. Environ. Assess. Manag. 11, 188194. doi: 10.1002/ieam.1600 Goddard M. A. Dougill J. A. Benton G. T. (2010). Scaling up from gardens: biodiversity conservation in urban environments. Trends Ecol. Evol. 25, 9098. doi: 10.1016/j.tree.2009.07.016 Goertzen D. Suhling F. (2013). Promoting dragonfly diversity in cities: major determinants and implications for urban pond design. J. Insect Conserv. 17, 399409. doi: 10.1007/s10841-012-9522-z Gopal B. (2013). Future of wetlands in tropical and subtropical Asia, especially in the face of climate change. Aquat. Sci. 75, 3961. doi: 10.1007/s00027-011-0247-y Griffiths R. A. (1996). Newts and Salamanders of Europe. Poyser and Poyser, London. Haaland C. van den Bosch C. K. (2015). Challenges and strategies for urban green-space planning in cities undergoing densification: a review. Urban For. Urban Green. 14:760771. doi: 10.1016/j.ufug.2015.07.009 Hädicke C. W. Rédei D. Kment P. (2017). The diversity of feeding habits recorded for water boatman (Heteroptera: Corixidae) world-wide with implications for evaluating information on the diet of aquatic insects. Eur. J. Entomol. 114, 147159. doi: 10.14411/eje.2017.020 Hampton E. S. Duggan C. (2003). Diel habitat shifts of macrofauna in a fishless pond. Mar. Freshw. Res. 54, 797805. doi: 10.1071/MF02165 Hanlon M. S. Relyea R. (2013). Sublethal effects of pesticides on predator–prey interactions in amphibians. ASIH. 4, 691698. doi: 10.1643/CE-13-019 Harrison D. J. (1987). Food and feeding relations of common frog and common toad tadpoles (Rana temporaria and Bufo bufo) at a pond in mid-Wales. Herpetol. J. 1, 141143. Hassall C. (2014). The ecology and biodiversity of urban ponds. Wiley Interdiscip. Rev. Water 1, 187206. doi: 10.1002/wat2.1014 Hassall C. Anderson S. (2015). Stormwater ponds can contain comparable biodiversity to unmanaged wetlands in urban areas. Hydrobiologia 745, 137149. doi: 10.1007/s10750-014-2100-5 Hebauer F. (1988). Gesichtspunkte der ökologischen Zuordnung aquatischer Insekten zu den Sukzessionsstufen der Gewässer. Berichte der ANL 12, 229239. Heino J. Bini M. L. Andersson J. Bergsten J. Bjelke U. Johansson F. (2017). Unravelling the correlates of species richness and ecological uniqueness in a metacommunity of urban pond insects. Ecol. Indic. 73, 422431. doi: 10.1016/j.ecolind.2016.10.006 Henrikson B.-I. (1990). Predation on amphibian eggs and tadpoles by common predators in acidified lakes. Ecography 13, 201206. doi: 10.1111/j.1600-0587.1990.tb00609.x Hill O. M. (1973). Diversity and evenness: a unifying notation and its consequences. Ecology 54, 427432. doi: 10.2307/1934352 Hill J. M. Mathers L. M. Wood J. P. (2015). The aquatic macroinvertebrate biodiversity of urban ponds in a medium-sized European town (Loughborough, UK). Hydrobiologia 760, 225238. doi: 10.1007/s10750-015-2328-8 Hobbs R. J. Higgs E. S. Hall C. M. (2013). Novel Ecosystems. Intervening in a New Ecological World Order. Wiley-Blackwell, New Jersey. Holtmann L. Philipp K. Becke C. Fartmann T. (2017). Effects of habitat and landscape quality on amphibian assemblages of urban stormwater ponds. Urban Ecosyst. 20, 12491259. doi: 10.1007/s11252-017-0677-y Huryn A. D. Wallace B. J. Anderson H. N. (2008). “Habitat, life history, secondary production, and behavioural adaptations of aquatic insects” in An Introduction to the Aquatic Insects of North America. eds. Merritt R. W. Cummins K. W. Berg M. B.. 4th ed (Dubuque, Iowa: Kendall/Hunt Publishing Company), 55103. Johnson P. T. J. Hoverman T. J. McKenzie J. V. Blaustein R. A. Richgels D. L. K. (2013). Urbanization and wetland communities: applying metacommunity theory to understand the local and landscape effects. J. Appl. Ecol. 50, 3442. doi: 10.1111/1365-2664.12022 Joly P. Giacoma C. (1992). Limitation of similarity and feeding habits in three syntopic species of newts (Triturus, Amphibia). Ecography 15, 401411. doi: 10.1111/j.1600-0587.1992.tb00050.x Jooste L. M. Samways J. M. Deacon C. (2020). Fluctuating pond water levels and aquatic insect persistence in a drought-prone Mediterranean-type climate. Hydrobiologia 847, 13151326. doi: 10.1007/s10750-020-04186-1 Klecka J. Boukal S. D. (2012). Who eats whom in a pool? A comparative study of prey selectivity by predatory aquatic insects. PLoS One 7:e37741. doi: 10.1371/journal.pone.0037741 Klopp K. Wachlevski M. Eterovick P. C. (2006). Environment complexity reduces tadpole predation by water bugs. Can. J. Zool. 84, 136140. doi: 10.1139/Z05-186 Krämer W. Sonnberger H. (1986). The Linear Regression Model under Test. Heidelberg: Physica. Kühn I. Brandl R. Klotz S. (2004). The flora of German cities is naturally species rich. Evol. Ecol. Res. 6, 749764. Kühnel K.-D. Charon J. Kitzmann B. Schonert B. (2017). “Rote Liste und Gesamtartenliste der Lurche (Amphibia) von Berlin,” in DER LANDESBEAUFTRAGTE FÜR NATURSCHUTZ UND LANDSCHAFTSPFLEGE /SENATSVERWALTUNG FÜR UMWELT, VERKEHR UND KLIMASCHUTZ (Hrsg.): Rote Listen der gefährdeten Pflanzen, Pilze und Tiere von Berlin, 23 S. Liu Z. He C. Wu J. (2016). The relationship between habitat loss and fragmentation during urbanization: an empirical evaluation from 16 world cities. PLoS One 11:e0154613. doi: 10.1371/journal.pone.0154613 McIntyre N. E. (2000). Ecology of urban arthropods: a review and a call to action. Ann. Entomol. Soc. Am. 93, 825835. doi: 10.1603/0013-8746(2000)093[0825:EOUAAR]2.0.CO;2 McKinney M. L. (2002). Urbanization, biodiversity, and conservation: the impacts of urbanization on native species are poorly studied, but educating a highly urbanized human population about these impacts can greatly improve species conservation in all ecosystems. Bio Science 52, 883890. doi: 10.1641/0006-3568(2002)052[0883:UBAC]2.0.CO;2 McKinney M. L. (2008). Effects of urbanisation on species richness: a review of plants and animals. Urban Ecosyst. 11, 161176. doi: 10.1007/s11252-007-0045-4 Miaud C. (1993). Predation on newts eggs (Triturus alpestris and T. helveticus): identification of predators and protective role of oviposition behaviour. J. Zool. Lond. 231, 575582. doi: 10.1111/j.1469-7998.1993.tb01939.x Minshall G. W. (1978). Autotrophy in stream ecosystems. Bioscience 28, 767771. doi: 10.2307/1307250 Müller H. Brucker C. A. (2015). Predation on a Discoglossus pictus (anura: discoglossidae) tadpole by the larva of a water beetle (Dytiscidae: Dytiscinae: Dytiscus sp.) in Tunisia. Herpetol. Notes 8, 453454. Muzón J. Ramos L. S. del Palacio A. (2019). “Urban aquatic insects” in Aquatic Insects. eds. Del-Claro K. Guillermo R. (Cham: Springer), 349364. Niemeier S. Müller J. Struck U. Rödel M.-O. (2020). Superfrogs in the city: 150 year impact of urbanization and agriculture on the European Comon frog. Glob. Change Biol. 26, 67296741. doi: 10.1111/gcb.15337 Nilsson A. N. Danell K. (1981). The annual and seasonal succession of larvae and imagines of water beetles in a shallow, man-made lake in northern Sweden. Aquat. Insect. 3, 233243. doi: 10.1080/01650428109361068 Noble A. Hassall C. (2014). Poor ecological quality of urban ponds in northern England: causes and consequences. Urban Ecosyst. 18, 649662. doi: 10.1007/s11252-014-0422-8 Ouarghi H. El Boumansour E. B. Dufayt O. El Hamouri B. Vasel L. J. (2000). Hydrodynamics and oxygen balance in a high-rate algal pond. Water Sci. Technol. 42, 349356. doi: 10.2166/wst.2000.0678 Pallarés S. Botella-Cruz M. Arribas P. Millán A. Velasco J. (2017). Aquatic insects in a multistress environment: cross-tolerance to salinity and desiccation. J. Exp. Biol. 220, 12771286. doi: 10.1242/jeb.152108 Paul M. J. Mayer L. J. (2001). Streams in the urban landscape. Annu. Rev. Ecol. Evol. Syst. 32, 333365. doi: 10.1007/978-0-387-7312-5_12 Peckarsky B. L. (1982). Aquatic insect predator-prey relations. Oxford Unive Press Am Inst Biol Sci 32, 261266. doi: 10.2307/1308532 Pickett S. T. A. Cadenasso M. L. Grove J. M. Boone C. G. Groffman P. M. Irwin E. . (2011). Urban ecological systems: scientific foundations and a decade of progress. J. Environ. Manag. 92, 331362. doi: 10.1016/j.jenvman.2010.08.022 Picot B. Moersidik S. Casellas C. Bontoux J. (1993). Using diurnal variations in a high rate algae pond for management pattern. Water Sci. Technol. 28, 169175. doi: 10.2166/wst.1993.0227 Pielou E. C. (1969). An Introduction to Mathematical Ecology. New York: Wiley-Interscience, 286. QGIS Development Team (2021). QGIS Geographic Information System. Open Source Geospatial Foundation Project. Available at: http://qgis.osgeo.org (Accessed August 1, 2021). R Core Team (2022). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. Ramsey J. B. (1969). Tests for specification errors in classical linear least-squares regression analysis. J. R. Stat. Soc. Series B. Stat. Methodol. 31, 350371. doi: 10.1111/j.2517-6161.1969.tb00796.x Rödel M.-O. Demtröder S. Fuchs C. Petrich D. Pfisterer F. Richter A. . (2014). Modifizierte Kleinfischreusen zur verbesserten Fängigkeit adulter Molche. Z. Feldherpetol. 21, 7582. Schewenius M. McPhearson T. Elmqvist T. (2014). Opportunities for increasing resilience and sustainability of urban social-ecological systems: insights from the URBES and the cities and biodiversity outlook projects. Ambio 43, 434444. doi: 10.1007/s13280-014-0505-z Senatsverwaltung für Stadtentwicklung und Umwelt: Berlin, Germany (2005). Gelände-und Luftbild-Kartierungen der Biotoptypen; Umweltatlas Stadtstruktur, Grünflächen-, Friedhofs-und Kleingartenkataster, Gewässerkarte. Available at: https://fbinter.stadt-berlin.de/fb/index.jsp (Accessed August 02, 2021). Shannon C. E. Weaver W. (1949). The Mathematical Theory of Communication. Urbana: University of Illinois Press. Shochat E. Lerman B. S. Anderies M. J. Warren S. P. Faeth H. S. Nilon H. C. (2010). Invasion, competition, and biodiversity loss in urban ecosystems. Bio Science 60, 199208. doi: 10.1525/bio.2010.60.3.6 Simaika J. P. Samways M. J. (2011). Comparative assessment of indices of freshwater habitat conditions using different invertebrate taxon sets. Ecol. Indic. 11, 370378. doi: 10.1016/j.ecolind.2010.06.005 Smith R. F. Alexander L. C. Lamp W. O. (2009). Dispersal by terrestrial stages of stream insects in urban watersheds: a synthesis of current knowledge. J. North Am. Benthol. Soc. 28, 10221037. doi: 10.1899/08-176.1 Smith R. F. Lamp W. O. (2008). Comparison of insect communities between adjacent headwater and main-stem streams in urban and rural watersheds. J. North Am. Benthol. Soc. 27, 161175. doi: 10.1899/07-071.1 Spellerberg I. F. Fedor P. J. (2003). A tribute to Claude Shannon (1916/2001) and a plea for more rigorous use of species richness, species diversity and the ‘Shannon/wiener’ index. Glob. Ecol. Biogeogr. 12, 177179. doi: 10.1046/j.1466-822X.2003.00015.x Tadesse I. Green B. F. Puhakka A. J. (2004). Seasonal and diurnal variations of temperature, pH and dissolved oxygen in advanced integrated wastewater pond system® treating tannery effluent. Water Res. 38, 645654. doi: 10.1016/j.watres.2003.10.006 Tucker C. S. D’Abramo L. R. (2008). Managing High pH in Freshwater Ponds. Stoneville: Southern Regional Aquaculture Centre, 15. Urban M. C. Skelly K. D. Burchsted D. Price W. Lowry S. (2006). Stream communities across a rural-urban landscape gradient. Divers. Distrib. 12, 337350. doi: 10.1111/j.1366-9516.2005.00226.x Venables W. N. Ripley B. D. (2002). Modern Applied Statistics with S. New York: Springer. Verberk P. E. C. W. Bilton T. D. (2013). Respiratory control in aquatic insects dictates their vulnerability to global warming. Biol. Lett. 9:20130473. doi: 10.1098/rsbl.2013.0473 Vidotto-Magnoni P. A. Carvalho D. C. (2009). Aquatic insects as the main food resource of fish the community in a Neotropical reservoir. Neotrop. Ichthyol. 7, 701708. doi: 10.1590/S1679-62252009000400020 Wells K. D. (2007). The Ecology and Behaviour of Amphibians. Chicago: University of Chicago Press. Wickham H. (2016). Ggplot2: Elegant Graphics for Data Analysis [R Package Version 4.1.3]. New York: Springer-Verlag. Williams P. Whitfield M. Biggs J. Bray S. Fox G. Nicolet P. . (2003). Comparative biodiversity of rivers, streams, ditches and ponds in an agricultural landscape in southern England. Biol. Conserv. 115, 329341. doi: 10.1016/S0006-3207(03)00153-8 Winter G. J. Somers M. K. Dillon J. P. Paterson C. Reid A. R. (2002). Impacts on golf ourses on macroinvertebrate community structure in precambrian shield streams. J. Environ. Qual. 31, 20152025. doi: 10.2134/jeq2002.2015 Wood R. L. S. Richardson S. J. (2009). Impact of sediment and nutrient inputs on growth and survival of tadpoles of the Western toad. Freshw. Biol. 54, 11201134. doi: 10.1111/j.1365-2427.2008.02139.x Wu J. (2014). Urban ecology and sustainability: the state-of-the-science and future directions. Landsc. Urban Plan. 125, 209221. doi: 10.1016/j.landurbplan.2014.01.018 Yee D. A. (2010). Behavior and aquatic plants as factors affecting predation by three species of larval predaceous diving beetles (Coleoptera: Dytiscidae). Hydrobiologia 637, 3343. doi: 10.1007/s10750-009-9982-7 Zapparoli M. (1997). Urban development and insect biodiversity of the Rome area. Italy. Landsc. Urban Plan. 38, 7786. doi: 10.1016/S0169-2046(97)00020-0 Zuur A. Ieno E. N. Walker N. Saveliev A. A. Smith G. M. (2009). Mixed Effects Models and Extensions in Ecology with R. New York: Springer.
      ‘Oh, my dear Thomas, you haven’t heard the terrible news then?’ she said. ‘I thought you would be sure to have seen it placarded somewhere. Alice went straight to her room, and I haven’t seen her since, though I repeatedly knocked at the door, which she has locked on the inside, and I’m sure it’s most unnatural of her not to let her own mother comfort her. It all happened in a moment: I have always said those great motor-cars shouldn’t be allowed to career about the streets, especially when they are all paved with cobbles as they are at Easton Haven, which are{331} so slippery when it’s wet. He slipped, and it went over him in a moment.’ My thanks were few and awkward, for there still hung to the missive a basting thread, and it was as warm as a nestling bird. I bent low--everybody was emotional in those days--kissed the fragrant thing, thrust it into my bosom, and blushed worse than Camille. "What, the Corner House victim? Is that really a fact?" "My dear child, I don't look upon it in that light at all. The child gave our picturesque friend a certain distinction--'My husband is dead, and this is my only child,' and all that sort of thing. It pays in society." leave them on the steps of a foundling asylum in order to insure [See larger version] Interoffice guff says you're planning definite moves on your own, J. O., and against some opposition. Is the Colonel so poor or so grasping—or what? Albert could not speak, for he felt as if his brains and teeth were rattling about inside his head. The rest of[Pg 188] the family hunched together by the door, the boys gaping idiotically, the girls in tears. "Now you're married." The host was called in, and unlocked a drawer in which they were deposited. The galleyman, with visible reluctance, arrayed himself in the garments, and he was observed to shudder more than once during the investiture of the dead man's apparel. HoME香京julia种子在线播放 ENTER NUMBET 0016www.gzzzyc.com.cn
      kmhtad.com.cn
      lrchain.com.cn
      lznucb.com.cn
      hxiaol.org.cn
      www.nyfhrq.com.cn
      www.ucersh.com.cn
      www.mofaxiu.com.cn
      spylkj.net.cn
      www.wqliyj.com.cn
      处女被大鸡巴操 强奸乱伦小说图片 俄罗斯美女爱爱图 调教强奸学生 亚洲女的穴 夜来香图片大全 美女性强奸电影 手机版色中阁 男性人体艺术素描图 16p成人 欧美性爱360 电影区 亚洲电影 欧美电影 经典三级 偷拍自拍 动漫电影 乱伦电影 变态另类 全部电 类似狠狠鲁的网站 黑吊操白逼图片 韩国黄片种子下载 操逼逼逼逼逼 人妻 小说 p 偷拍10幼女自慰 极品淫水很多 黄色做i爱 日本女人人体电影快播看 大福国小 我爱肏屄美女 mmcrwcom 欧美多人性交图片 肥臀乱伦老头舔阴帝 d09a4343000019c5 西欧人体艺术b xxoo激情短片 未成年人的 插泰国人夭图片 第770弾み1 24p 日本美女性 交动态 eee色播 yantasythunder 操无毛少女屄 亚洲图片你懂的女人 鸡巴插姨娘 特级黄 色大片播 左耳影音先锋 冢本友希全集 日本人体艺术绿色 我爱被舔逼 内射 幼 美阴图 喷水妹子高潮迭起 和后妈 操逼 美女吞鸡巴 鸭个自慰 中国女裸名单 操逼肥臀出水换妻 色站裸体义术 中国行上的漏毛美女叫什么 亚洲妹性交图 欧美美女人裸体人艺照 成人色妹妹直播 WWW_JXCT_COM r日本女人性淫乱 大胆人艺体艺图片 女同接吻av 碰碰哥免费自拍打炮 艳舞写真duppid1 88电影街拍视频 日本自拍做爱qvod 实拍美女性爱组图 少女高清av 浙江真实乱伦迅雷 台湾luanlunxiaoshuo 洛克王国宠物排行榜 皇瑟电影yy频道大全 红孩儿连连看 阴毛摄影 大胆美女写真人体艺术摄影 和风骚三个媳妇在家做爱 性爱办公室高清 18p2p木耳 大波撸影音 大鸡巴插嫩穴小说 一剧不超两个黑人 阿姨诱惑我快播 幼香阁千叶县小学生 少女妇女被狗强奸 曰人体妹妹 十二岁性感幼女 超级乱伦qvod 97爱蜜桃ccc336 日本淫妇阴液 av海量资源999 凤凰影视成仁 辰溪四中艳照门照片 先锋模特裸体展示影片 成人片免费看 自拍百度云 肥白老妇女 女爱人体图片 妈妈一女穴 星野美夏 日本少女dachidu 妹子私处人体图片 yinmindahuitang 舔无毛逼影片快播 田莹疑的裸体照片 三级电影影音先锋02222 妻子被外国老头操 观月雏乃泥鳅 韩国成人偷拍自拍图片 强奸5一9岁幼女小说 汤姆影院av图片 妹妹人艺体图 美女大驱 和女友做爱图片自拍p 绫川まどか在线先锋 那么嫩的逼很少见了 小女孩做爱 处女好逼连连看图图 性感美女在家做爱 近距离抽插骚逼逼 黑屌肏金毛屄 日韩av美少女 看喝尿尿小姐日逼色色色网图片 欧美肛交新视频 美女吃逼逼 av30线上免费 伊人在线三级经典 新视觉影院t6090影院 最新淫色电影网址 天龙影院远古手机版 搞老太影院 插进美女的大屁股里 私人影院加盟费用 www258dd 求一部电影里面有一个二猛哥 深肛交 日本萌妹子人体艺术写真图片 插入屄眼 美女的木奶 中文字幕黄色网址影视先锋 九号女神裸 和骚人妻偷情 和潘晓婷做爱 国模大尺度蜜桃 欧美大逼50p 西西人体成人 李宗瑞继母做爱原图物处理 nianhuawang 男鸡巴的视屏 � 97免费色伦电影 好色网成人 大姨子先锋 淫荡巨乳美女教师妈妈 性nuexiaoshuo WWW36YYYCOM 长春继续给力进屋就操小女儿套干破内射对白淫荡 农夫激情社区 日韩无码bt 欧美美女手掰嫩穴图片 日本援交偷拍自拍 入侵者日本在线播放 亚洲白虎偷拍自拍 常州高见泽日屄 寂寞少妇自卫视频 人体露逼图片 多毛外国老太 变态乱轮手机在线 淫荡妈妈和儿子操逼 伦理片大奶少女 看片神器最新登入地址sqvheqi345com账号群 麻美学姐无头 圣诞老人射小妞和强奸小妞动话片 亚洲AV女老师 先锋影音欧美成人资源 33344iucoom zV天堂电影网 宾馆美女打炮视频 色五月丁香五月magnet 嫂子淫乱小说 张歆艺的老公 吃奶男人视频在线播放 欧美色图男女乱伦 avtt2014ccvom 性插色欲香影院 青青草撸死你青青草 99热久久第一时间 激情套图卡通动漫 幼女裸聊做爱口交 日本女人被强奸乱伦 草榴社区快播 2kkk正在播放兽骑 啊不要人家小穴都湿了 www猎奇影视 A片www245vvcomwwwchnrwhmhzcn 搜索宜春院av wwwsee78co 逼奶鸡巴插 好吊日AV在线视频19gancom 熟女伦乱图片小说 日本免费av无码片在线开苞 鲁大妈撸到爆 裸聊官网 德国熟女xxx 新不夜城论坛首页手机 女虐男网址 男女做爱视频华为网盘 激情午夜天亚洲色图 内裤哥mangent 吉沢明歩制服丝袜WWWHHH710COM 屌逼在线试看 人体艺体阿娇艳照 推荐一个可以免费看片的网站如果被QQ拦截请复制链接在其它浏览器打开xxxyyy5comintr2a2cb551573a2b2e 欧美360精品粉红鲍鱼 教师调教第一页 聚美屋精品图 中韩淫乱群交 俄罗斯撸撸片 把鸡巴插进小姨子的阴道 干干AV成人网 aolasoohpnbcn www84ytom 高清大量潮喷www27dyycom 宝贝开心成人 freefronvideos人母 嫩穴成人网gggg29com 逼着舅妈给我口交肛交彩漫画 欧美色色aV88wwwgangguanscom 老太太操逼自拍视频 777亚洲手机在线播放 有没有夫妻3p小说 色列漫画淫女 午间色站导航 欧美成人处女色大图 童颜巨乳亚洲综合 桃色性欲草 色眯眯射逼 无码中文字幕塞外青楼这是一个 狂日美女老师人妻 爱碰网官网 亚洲图片雅蠛蝶 快播35怎么搜片 2000XXXX电影 新谷露性家庭影院 深深候dvd播放 幼齿用英语怎么说 不雅伦理无需播放器 国外淫荡图片 国外网站幼幼嫩网址 成年人就去色色视频快播 我鲁日日鲁老老老我爱 caoshaonvbi 人体艺术avav 性感性色导航 韩国黄色哥来嫖网站 成人网站美逼 淫荡熟妇自拍 欧美色惰图片 北京空姐透明照 狼堡免费av视频 www776eom 亚洲无码av欧美天堂网男人天堂 欧美激情爆操 a片kk266co 色尼姑成人极速在线视频 国语家庭系列 蒋雯雯 越南伦理 色CC伦理影院手机版 99jbbcom 大鸡巴舅妈 国产偷拍自拍淫荡对话视频 少妇春梦射精 开心激动网 自拍偷牌成人 色桃隐 撸狗网性交视频 淫荡的三位老师 伦理电影wwwqiuxia6commqiuxia6com 怡春院分站 丝袜超短裙露脸迅雷下载 色制服电影院 97超碰好吊色男人 yy6080理论在线宅男日韩福利大全 大嫂丝袜 500人群交手机在线 5sav 偷拍熟女吧 口述我和妹妹的欲望 50p电脑版 wwwavtttcon 3p3com 伦理无码片在线看 欧美成人电影图片岛国性爱伦理电影 先锋影音AV成人欧美 我爱好色 淫电影网 WWW19MMCOM 玛丽罗斯3d同人动画h在线看 动漫女孩裸体 超级丝袜美腿乱伦 1919gogo欣赏 大色逼淫色 www就是撸 激情文学网好骚 A级黄片免费 xedd5com 国内的b是黑的 快播美国成年人片黄 av高跟丝袜视频 上原保奈美巨乳女教师在线观看 校园春色都市激情fefegancom 偷窥自拍XXOO 搜索看马操美女 人本女优视频 日日吧淫淫 人妻巨乳影院 美国女子性爱学校 大肥屁股重口味 啪啪啪啊啊啊不要 操碰 japanfreevideoshome国产 亚州淫荡老熟女人体 伦奸毛片免费在线看 天天影视se 樱桃做爱视频 亚卅av在线视频 x奸小说下载 亚洲色图图片在线 217av天堂网 东方在线撸撸-百度 幼幼丝袜集 灰姑娘的姐姐 青青草在线视频观看对华 86papa路con 亚洲1AV 综合图片2区亚洲 美国美女大逼电影 010插插av成人网站 www色comwww821kxwcom 播乐子成人网免费视频在线观看 大炮撸在线影院 ,www4KkKcom 野花鲁最近30部 wwwCC213wapwww2233ww2download 三客优最新地址 母亲让儿子爽的无码视频 全国黄色片子 欧美色图美国十次 超碰在线直播 性感妖娆操 亚洲肉感熟女色图 a片A毛片管看视频 8vaa褋芯屑 333kk 川岛和津实视频 在线母子乱伦对白 妹妹肥逼五月 亚洲美女自拍 老婆在我面前小说 韩国空姐堪比情趣内衣 干小姐综合 淫妻色五月 添骚穴 WM62COM 23456影视播放器 成人午夜剧场 尼姑福利网 AV区亚洲AV欧美AV512qucomwwwc5508com 经典欧美骚妇 震动棒露出 日韩丝袜美臀巨乳在线 av无限吧看 就去干少妇 色艺无间正面是哪集 校园春色我和老师做爱 漫画夜色 天海丽白色吊带 黄色淫荡性虐小说 午夜高清播放器 文20岁女性荫道口图片 热国产热无码热有码 2015小明发布看看算你色 百度云播影视 美女肏屄屄乱轮小说 家族舔阴AV影片 邪恶在线av有码 父女之交 关于处女破处的三级片 极品护士91在线 欧美虐待女人视频的网站 享受老太太的丝袜 aaazhibuo 8dfvodcom成人 真实自拍足交 群交男女猛插逼 妓女爱爱动态 lin35com是什么网站 abp159 亚洲色图偷拍自拍乱伦熟女抠逼自慰 朝国三级篇 淫三国幻想 免费的av小电影网站 日本阿v视频免费按摩师 av750c0m 黄色片操一下 巨乳少女车震在线观看 操逼 免费 囗述情感一乱伦岳母和女婿 WWW_FAMITSU_COM 偷拍中国少妇在公车被操视频 花也真衣论理电影 大鸡鸡插p洞 新片欧美十八岁美少 进击的巨人神thunderftp 西方美女15p 深圳哪里易找到老女人玩视频 在线成人有声小说 365rrr 女尿图片 我和淫荡的小姨做爱 � 做爱技术体照 淫妇性爱 大学生私拍b 第四射狠狠射小说 色中色成人av社区 和小姨子乱伦肛交 wwwppp62com 俄罗斯巨乳人体艺术 骚逼阿娇 汤芳人体图片大胆 大胆人体艺术bb私处 性感大胸骚货 哪个网站幼女的片多 日本美女本子把 色 五月天 婷婷 快播 美女 美穴艺术 色百合电影导航 大鸡巴用力 孙悟空操美少女战士 狠狠撸美女手掰穴图片 古代女子与兽类交 沙耶香套图 激情成人网区 暴风影音av播放 动漫女孩怎么插第3个 mmmpp44 黑木麻衣无码ed2k 淫荡学姐少妇 乱伦操少女屄 高中性爱故事 骚妹妹爱爱图网 韩国模特剪长发 大鸡巴把我逼日了 中国张柏芝做爱片中国张柏芝做爱片中国张柏芝做爱片中国张柏芝做爱片中国张柏芝做爱片 大胆女人下体艺术图片 789sss 影音先锋在线国内情侣野外性事自拍普通话对白 群撸图库 闪现君打阿乐 ady 小说 插入表妹嫩穴小说 推荐成人资源 网络播放器 成人台 149大胆人体艺术 大屌图片 骚美女成人av 春暖花开春色性吧 女亭婷五月 我上了同桌的姐姐 恋夜秀场主播自慰视频 yzppp 屄茎 操屄女图 美女鲍鱼大特写 淫乱的日本人妻山口玲子 偷拍射精图 性感美女人体艺木图片 种马小说完本 免费电影院 骑士福利导航导航网站 骚老婆足交 国产性爱一级电影 欧美免费成人花花性都 欧美大肥妞性爱视频 家庭乱伦网站快播 偷拍自拍国产毛片 金发美女也用大吊来开包 缔D杏那 yentiyishu人体艺术ytys WWWUUKKMCOM 女人露奶 � 苍井空露逼 老荡妇高跟丝袜足交 偷偷和女友的朋友做爱迅雷 做爱七十二尺 朱丹人体合成 麻腾由纪妃 帅哥撸播种子图 鸡巴插逼动态图片 羙国十次啦中文 WWW137AVCOM 神斗片欧美版华语 有气质女人人休艺术 由美老师放屁电影 欧美女人肉肏图片 白虎种子快播 国产自拍90后女孩 美女在床上疯狂嫩b 饭岛爱最后之作 幼幼强奸摸奶 色97成人动漫 两性性爱打鸡巴插逼 新视觉影院4080青苹果影院 嗯好爽插死我了 阴口艺术照 李宗瑞电影qvod38 爆操舅母 亚洲色图七七影院 被大鸡巴操菊花 怡红院肿么了 成人极品影院删除 欧美性爱大图色图强奸乱 欧美女子与狗随便性交 苍井空的bt种子无码 熟女乱伦长篇小说 大色虫 兽交幼女影音先锋播放 44aad be0ca93900121f9b 先锋天耗ばさ无码 欧毛毛女三级黄色片图 干女人黑木耳照 日本美女少妇嫩逼人体艺术 sesechangchang 色屄屄网 久久撸app下载 色图色噜 美女鸡巴大奶 好吊日在线视频在线观看 透明丝袜脚偷拍自拍 中山怡红院菜单 wcwwwcom下载 骑嫂子 亚洲大色妣 成人故事365ahnet 丝袜家庭教mp4 幼交肛交 妹妹撸撸大妈 日本毛爽 caoprom超碰在email 关于中国古代偷窥的黄片 第一会所老熟女下载 wwwhuangsecome 狼人干综合新地址HD播放 变态儿子强奸乱伦图 强奸电影名字 2wwwer37com 日本毛片基地一亚洲AVmzddcxcn 暗黑圣经仙桃影院 37tpcocn 持月真由xfplay 好吊日在线视频三级网 我爱背入李丽珍 电影师傅床戏在线观看 96插妹妹sexsex88com 豪放家庭在线播放 桃花宝典极夜著豆瓜网 安卓系统播放神器 美美网丝袜诱惑 人人干全免费视频xulawyercn av无插件一本道 全国色五月 操逼电影小说网 good在线wwwyuyuelvcom www18avmmd 撸波波影视无插件 伊人幼女成人电影 会看射的图片 小明插看看 全裸美女扒开粉嫩b 国人自拍性交网站 萝莉白丝足交本子 七草ちとせ巨乳视频 摇摇晃晃的成人电影 兰桂坊成社人区小说www68kqcom 舔阴论坛 久撸客一撸客色国内外成人激情在线 明星门 欧美大胆嫩肉穴爽大片 www牛逼插 性吧星云 少妇性奴的屁眼 人体艺术大胆mscbaidu1imgcn 最新久久色色成人版 l女同在线 小泽玛利亚高潮图片搜索 女性裸b图 肛交bt种子 最热门有声小说 人间添春色 春色猜谜字 樱井莉亚钢管舞视频 小泽玛利亚直美6p 能用的h网 还能看的h网 bl动漫h网 开心五月激 东京热401 男色女色第四色酒色网 怎么下载黄色小说 黄色小说小栽 和谐图城 乐乐影院 色哥导航 特色导航 依依社区 爱窝窝在线 色狼谷成人 91porn 包要你射电影 色色3A丝袜 丝袜妹妹淫网 爱色导航(荐) 好男人激情影院 坏哥哥 第七色 色久久 人格分裂 急先锋 撸撸射中文网 第一会所综合社区 91影院老师机 东方成人激情 怼莪影院吹潮 老鸭窝伊人无码不卡无码一本道 av女柳晶电影 91天生爱风流作品 深爱激情小说私房婷婷网 擼奶av 567pao 里番3d一家人野外 上原在线电影 水岛津实透明丝袜 1314酒色 网旧网俺也去 0855影院 在线无码私人影院 搜索 国产自拍 神马dy888午夜伦理达达兔 农民工黄晓婷 日韩裸体黑丝御姐 屈臣氏的燕窝面膜怎么样つぼみ晶エリーの早漏チ○ポ强化合宿 老熟女人性视频 影音先锋 三上悠亚ol 妹妹影院福利片 hhhhhhhhsxo 午夜天堂热的国产 强奸剧场 全裸香蕉视频无码 亚欧伦理视频 秋霞为什么给封了 日本在线视频空天使 日韩成人aⅴ在线 日本日屌日屄导航视频 在线福利视频 日本推油无码av magnet 在线免费视频 樱井梨吮东 日本一本道在线无码DVD 日本性感诱惑美女做爱阴道流水视频 日本一级av 汤姆avtom在线视频 台湾佬中文娱乐线20 阿v播播下载 橙色影院 奴隶少女护士cg视频 汤姆在线影院无码 偷拍宾馆 业面紧急生级访问 色和尚有线 厕所偷拍一族 av女l 公交色狼优酷视频 裸体视频AV 人与兽肉肉网 董美香ol 花井美纱链接 magnet 西瓜影音 亚洲 自拍 日韩女优欧美激情偷拍自拍 亚洲成年人免费视频 荷兰免费成人电影 深喉呕吐XXⅩX 操石榴在线视频 天天色成人免费视频 314hu四虎 涩久免费视频在线观看 成人电影迅雷下载 能看见整个奶子的香蕉影院 水菜丽百度影音 gwaz079百度云 噜死你们资源站 主播走光视频合集迅雷下载 thumbzilla jappen 精品Av 古川伊织star598在线 假面女皇vip在线视频播放 国产自拍迷情校园 啪啪啪公寓漫画 日本阿AV 黄色手机电影 欧美在线Av影院 华裔电击女神91在线 亚洲欧美专区 1日本1000部免费视频 开放90后 波多野结衣 东方 影院av 页面升级紧急访问每天正常更新 4438Xchengeren 老炮色 a k福利电影 色欲影视色天天视频 高老庄aV 259LUXU-683 magnet 手机在线电影 国产区 欧美激情人人操网 国产 偷拍 直播 日韩 国内外激情在线视频网给 站长统计一本道人妻 光棍影院被封 紫竹铃取汁 ftp 狂插空姐嫩 xfplay 丈夫面前 穿靴子伪街 XXOO视频在线免费 大香蕉道久在线播放 电棒漏电嗨过头 充气娃能看下毛和洞吗 夫妻牲交 福利云点墦 yukun瑟妃 疯狂交换女友 国产自拍26页 腐女资源 百度云 日本DVD高清无码视频 偷拍,自拍AV伦理电影 A片小视频福利站。 大奶肥婆自拍偷拍图片 交配伊甸园 超碰在线视频自拍偷拍国产 小热巴91大神 rctd 045 类似于A片 超美大奶大学生美女直播被男友操 男友问 你的衣服怎么脱掉的 亚洲女与黑人群交视频一 在线黄涩 木内美保步兵番号 鸡巴插入欧美美女的b舒服 激情在线国产自拍日韩欧美 国语福利小视频在线观看 作爱小视颍 潮喷合集丝袜无码mp4 做爱的无码高清视频 牛牛精品 伊aⅤ在线观看 savk12 哥哥搞在线播放 在线电一本道影 一级谍片 250pp亚洲情艺中心,88 欧美一本道九色在线一 wwwseavbacom色av吧 cos美女在线 欧美17,18ⅹⅹⅹ视频 自拍嫩逼 小电影在线观看网站 筱田优 贼 水电工 5358x视频 日本69式视频有码 b雪福利导航 韩国女主播19tvclub在线 操逼清晰视频 丝袜美女国产视频网址导航 水菜丽颜射房间 台湾妹中文娱乐网 风吟岛视频 口交 伦理 日本熟妇色五十路免费视频 A级片互舔 川村真矢Av在线观看 亚洲日韩av 色和尚国产自拍 sea8 mp4 aV天堂2018手机在线 免费版国产偷拍a在线播放 狠狠 婷婷 丁香 小视频福利在线观看平台 思妍白衣小仙女被邻居强上 萝莉自拍有水 4484新视觉 永久发布页 977成人影视在线观看 小清新影院在线观 小鸟酱后丝后入百度云 旋风魅影四级 香蕉影院小黄片免费看 性爱直播磁力链接 小骚逼第一色影院 性交流的视频 小雪小视频bd 小视频TV禁看视频 迷奸AV在线看 nba直播 任你在干线 汤姆影院在线视频国产 624u在线播放 成人 一级a做爰片就在线看狐狸视频 小香蕉AV视频 www182、com 腿模简小育 学生做爱视频 秘密搜查官 快播 成人福利网午夜 一级黄色夫妻录像片 直接看的gav久久播放器 国产自拍400首页 sm老爹影院 谁知道隔壁老王网址在线 综合网 123西瓜影音 米奇丁香 人人澡人人漠大学生 色久悠 夜色视频你今天寂寞了吗? 菲菲影视城美国 被抄的影院 变态另类 欧美 成人 国产偷拍自拍在线小说 不用下载安装就能看的吃男人鸡巴视频 插屄视频 大贯杏里播放 wwwhhh50 233若菜奈央 伦理片天海翼秘密搜查官 大香蕉在线万色屋视频 那种漫画小说你懂的 祥仔电影合集一区 那里可以看澳门皇冠酒店a片 色自啪 亚洲aV电影天堂 谷露影院ar toupaizaixian sexbj。com 毕业生 zaixian mianfei 朝桐光视频 成人短视频在线直接观看 陈美霖 沈阳音乐学院 导航女 www26yjjcom 1大尺度视频 开平虐女视频 菅野雪松协和影视在线视频 华人play在线视频bbb 鸡吧操屄视频 多啪啪免费视频 悠草影院 金兰策划网 (969) 橘佑金短视频 国内一极刺激自拍片 日本制服番号大全magnet 成人动漫母系 电脑怎么清理内存 黄色福利1000 dy88午夜 偷拍中学生洗澡磁力链接 花椒相机福利美女视频 站长推荐磁力下载 mp4 三洞轮流插视频 玉兔miki热舞视频 夜生活小视频 爆乳人妖小视频 国内网红主播自拍福利迅雷下载 不用app的裸裸体美女操逼视频 变态SM影片在线观看 草溜影院元气吧 - 百度 - 百度 波推全套视频 国产双飞集合ftp 日本在线AV网 笔国毛片 神马影院女主播是我的邻居 影音资源 激情乱伦电影 799pao 亚洲第一色第一影院 av视频大香蕉 老梁故事汇希斯莱杰 水中人体磁力链接 下载 大香蕉黄片免费看 济南谭崔 避开屏蔽的岛a片 草破福利 要看大鸡巴操小骚逼的人的视频 黑丝少妇影音先锋 欧美巨乳熟女磁力链接 美国黄网站色大全 伦蕉在线久播 极品女厕沟 激情五月bd韩国电影 混血美女自摸和男友激情啪啪自拍诱人呻吟福利视频 人人摸人人妻做人人看 44kknn 娸娸原网 伊人欧美 恋夜影院视频列表安卓青青 57k影院 如果电话亭 avi 插爆骚女精品自拍 青青草在线免费视频1769TV 令人惹火的邻家美眉 影音先锋 真人妹子被捅动态图 男人女人做完爱视频15 表姐合租两人共处一室晚上她竟爬上了我的床 性爱教学视频 北条麻妃bd在线播放版 国产老师和师生 magnet wwwcctv1024 女神自慰 ftp 女同性恋做激情视频 欧美大胆露阴视频 欧美无码影视 好女色在线观看 后入肥臀18p 百度影视屏福利 厕所超碰视频 强奸mp magnet 欧美妹aⅴ免费线上看 2016年妞干网视频 5手机在线福利 超在线最视频 800av:cOm magnet 欧美性爱免播放器在线播放 91大款肥汤的性感美乳90后邻家美眉趴着窗台后入啪啪 秋霞日本毛片网站 cheng ren 在线视频 上原亚衣肛门无码解禁影音先锋 美脚家庭教师在线播放 尤酷伦理片 熟女性生活视频在线观看 欧美av在线播放喷潮 194avav 凤凰AV成人 - 百度 kbb9999 AV片AV在线AV无码 爱爱视频高清免费观看 黄色男女操b视频 观看 18AV清纯视频在线播放平台 成人性爱视频久久操 女性真人生殖系统双性人视频 下身插入b射精视频 明星潜规测视频 mp4 免賛a片直播绪 国内 自己 偷拍 在线 国内真实偷拍 手机在线 国产主播户外勾在线 三桥杏奈高清无码迅雷下载 2五福电影院凸凹频频 男主拿鱼打女主,高宝宝 色哥午夜影院 川村まや痴汉 草溜影院费全过程免费 淫小弟影院在线视频 laohantuiche 啪啪啪喷潮XXOO视频 青娱乐成人国产 蓝沢润 一本道 亚洲青涩中文欧美 神马影院线理论 米娅卡莉法的av 在线福利65535 欧美粉色在线 欧美性受群交视频1在线播放 极品喷奶熟妇在线播放 变态另类无码福利影院92 天津小姐被偷拍 磁力下载 台湾三级电髟全部 丝袜美腿偷拍自拍 偷拍女生性行为图 妻子的乱伦 白虎少妇 肏婶骚屄 外国大妈会阴照片 美少女操屄图片 妹妹自慰11p 操老熟女的b 361美女人体 360电影院樱桃 爱色妹妹亚洲色图 性交卖淫姿势高清图片一级 欧美一黑对二白 大色网无毛一线天 射小妹网站 寂寞穴 西西人体模特苍井空 操的大白逼吧 骚穴让我操 拉好友干女朋友3p