Abstract
The dynamics of populations in lake food webs are driven by a combination of spatial, environmental, and trophic processes. Differences among taxa in their ability to disperse and respond to the environment impact the food web and will be reflected in their abundances over time at different sites within a lake. The level of synchrony among lake sub-basins (within and across populations in a lake) is critical for determining the importance of spatial resolution when sampling and developing models. Using 7 years of survey data in Lake George, New York State (USA), we provide a high-level overview of changes in the densities of key food web groups over time (phytoplankton, zooplankton, and macroinvertebrates) and the synchrony of their dynamics among sub-basins. Phytoplankton biomass (measured as chlorophyll a) and zooplankton densities showed strong seasonal and multi-year trends that were synchronous across space within each group. Several macroinvertebrate groups showed significant non-linear multi-year trends, but synchrony was lower. For phytoplankton and some macroinvertebrate groups, we found that densities were highest in the South Basin, likely reflecting the gradient of decreasing nutrients in the lake from south to north. Collectively, these results suggest that modeling the food web using sub-basins is a useful scale for better understanding species dynamics in large lakes.
Similar content being viewed by others
Data availability
Data used for these analyses are archived on Figshare (https://doi.org/10.6084/m9.figshare.19294142.v1) and all code for figures and analyses may be found in the ESM files.
References
Arhonditsis GB, Recknagel F, Joehnk K (2018) Process-based modeling of nutrient cycles and food-web dynamics. In: Recknagel F, Michener W (editors). Ecological informatics: data management and knowledge discovery: third edition. Springer, Berlin Heidelberg New York, pp 189-213
Árva D, Tóth M, Horváth H et al (2015) The relative importance of spatial and environmental processes in distribution of benthic chironomid larvae within a large and shallow lake. Hydrobiologia 742:249–266. https://doi.org/10.1007/s10750-014-1989-z
Bascompte J (2010) Structure and dynamics of ecological networks. Science 329:765–766. https://doi.org/10.1126/science.1194255
Beisner BE, Peres-Neto PR, Lindstrom ES et al (2006) The role of environmental and spatial processes in structuring lake communities from bacteria to fish. Ecology 87:2985–2991
Bjørnstad ON, Ims RA, Lambin X (1999) Spatial population dynamics: Analyzing patterns and processes of population synchrony. Trends Ecol Evol 14:427–432. https://doi.org/10.1016/S0169-5347(99)01677-8
Boit A, Gaedke U (2014) Benchmarking successional progress in a quantitative food web. PLoS One. https://doi.org/10.1371/journal.pone.0090404
Borrelli JJ, Relyea RA (2022) A review of spatial structure of freshwater food webs: issues and opportunities modeling within-lake meta-ecosystems. Limnol Oceanogr. https://doi.org/10.1002/lno.12163
Buonaccorsi JP, Elkinton JS, Evans SR, Liebhold AM (2001) Measuring and testing for spatial synchrony. Ecology 82:1668–1679. https://doi.org/10.1080/00207599308246965
Cai Y, Xu H, Vilmi A et al (2017) Relative roles of spatial processes, natural factors and anthropogenic stressors in structuring a lake macroinvertebrate metacommunity. Sci Total Environ 601–602:1702–1711. https://doi.org/10.1016/j.scitotenv.2017.05.264
Carrillo P, Reche I, Sanchez-castillo P, Cruz-Pizarro L (1995) Direct and indirect effects of grazing on the phytoplankton seasonal succession in an oligotrophic lake. J Plankton Res 17:1363–1379. https://doi.org/10.1093/plankt/17.6.1363
Dunne JA, Williams RJ, Martinez ND (2002) Network structure and biodiversity loss in food webs: robustness increases with connectance. Ecol Lett 5:558–567
D’Arco BD, Farrell JL, Nierzwicki-Bauer SA, Boylen CW (2015) Are the condition, growth and diet of yellow perch (Perca flavescens) different between the three major basins of Lake George, New York? Open Fish Sci J 8:30–36. https://doi.org/10.2174/1874401x01508010030
Ellis BK, Stanford JA, Goodman D et al (2011) Long-term effects of a trophic cascade in a large lake ecosystem. Proc Natl Acad Sci USA 108:1070–1075. https://doi.org/10.1073/pnas.1013006108
Gamble AE, Hrabik TR, Yule DL, Stockwell JD (2011) Trophic connections in Lake Superior part II: the nearshore fish community. J Great Lakes Res 37:550–560. https://doi.org/10.1016/j.jglr.2011.06.008
Gouhier TC, Guichard F (2014) Synchrony: Quantifying variability in space and time. Methods Ecol Evol 5:524–533. https://doi.org/10.1111/2041-210X.12188
Gudimov A, Stremilov S, Ramin M, Arhonditsis GB (2010) Eutrophication risk assessment in Hamilton Harbour: system analysis and evaluation of nutrient loading scenarios. J Great Lakes Res 36:520–539. https://doi.org/10.1016/j.jglr.2010.04.001
Guo K, Wu N, Wang C et al (2019) Trait dependent roles of environmental factors, spatial processes and grazing pressure on lake phytoplankton metacommunity. Ecol Indic 103:312–320. https://doi.org/10.1016/j.ecolind.2019.04.028
Guzman LM, Germain RM, Forbes C et al (2019) Towards a multi-trophic extension of metacommunity ecology. Ecol Lett 22:19–33. https://doi.org/10.1111/ele.13162
Hall SR, Leibold MA, Lytle DA, Smith VH (2004) Stoichiometry and planktonic grazer composition over gradients of light, nutrients, and predation risk. Ecology 85:2291–2301. https://doi.org/10.1890/03-0471
Hamm M, Drossel B (2017) Habitat heterogeneity hypothesis and edge effects in model metacommunities. J Theor Biol 426:40–48. https://doi.org/10.1016/j.jtbi.2017.05.022
Heino J (2013) Does dispersal ability affect the relative importance of environmental control and spatial structuring of littoral macroinvertebrate communities? Oecologia 171:971–980. https://doi.org/10.1007/s00442-012-2451-4
Hintz WD, Schuler MS, Borrelli JJ et al (2020) Concurrent improvement and deterioration of epilimnetic water quality in an oligotrophic lake over 37 years. Limnol Oceanogr 65:927–938. https://doi.org/10.1002/lno.11359
Janssen ABG, Arhonditsis GB, Beusen A et al (2015) Exploring, exploiting and evolving diversity of aquatic ecosystem models: a community perspective. Aquat Ecol 49:513–548. https://doi.org/10.1007/s10452-015-9544-1
Koenig WD (2002) Global patterns of environmental synchrony and the Moran effect. Ecography 25:283–288
Langenheder S, Wang J, Karjalainen SM et al (2017) Bacterial metacommunity organization in a highly connected aquatic system. FEMS Microbiol Ecol 93:1–9. https://doi.org/10.1093/femsec/fiw225
Legendre P (2005) Species associations: The Kendall coefficient of concordance revisited. J Agric Biol Environ Stat 10:226–245. https://doi.org/10.1198/108571105X46642
Liu J, Soininen J, Han BP, Declerck SAJ (2013) Effects of connectivity, dispersal directionality and functional traits on the metacommunity structure of river benthic diatoms. J Biogeogr 40:2238–2248. https://doi.org/10.1111/jbi.12160
Lodi S, Velho LFM, Carvalho P, Bini LM (2014) Patterns of zooplankton population synchrony in a tropical reservoir. J Plankton Res 36:966–977. https://doi.org/10.1093/plankt/fbu028
Lopes VG, Castelo Branco CW, Kozlowsky-Suzuki B et al (2018) Environmental distances are more important than geographic distances when predicting spatial synchrony of zooplankton populations in a tropical reservoir. Freshw Biol 63:1592–1601. https://doi.org/10.1111/fwb.13188
Loreau M, De Mazancourt C (2008) Species synchrony and its drivers: neutral and nonneutral community dynamics in fluctuating environments. Am Nat 172(2):E48-66. https://doi.org/10.1086/589746
Magnuson JJ, Benson BJ, Kratz TK (1990) Temporal coherence in the limnology of a suite of lakes in Wisconsin USA. Freshw Biol 23:145–159. https://doi.org/10.1111/j.1365-2427.1990.tb00259.x
Magnuson JJ, Benson BJ, Kratz TK (2004) Patterns of coherent dynamics within and between lake districts at local to intercontinental scales. Boreal Environ Res 9:359–369
Massol F, Gravel D, Mouquet N et al (2011) Linking community and ecosystem dynamics through spatial ecology. Ecol Lett 14:313–323. https://doi.org/10.1111/j.1461-0248.2011.01588.x
Masson S, Angeli N, Guillard J, Pinel-Alloul B (2001) Diel vertical and horizontal distribution of crustacean zooplankton and young of the year fish in a sub-alpine lake: an approach based on high frequency sampling. J Plankton Res 23:1041–1060. https://doi.org/10.1093/plankt/23.10.1041
May RM (1972) Will a large complex system be stable? Nature 238:413–414
Mehner T, Benndorf J, Kasprzak P, Koschel R (2002) Biomanipulation of lake ecosystems: successful applications and expanding complexity in the underlying science. Freshw Biol 47:2453–2465. https://doi.org/10.1046/j.1365-2427.2002.01003.x
Mehner T, Hölker F, Kasprzak P (2005) Spatial and temporal heterogeneity of trophic variables in a deep lake as reflected by repeated singular samplings. Oikos 108:401–409. https://doi.org/10.1111/j.0030-1299.2005.13338.x
Menezes RF, Borchsenius F, Svenning JC et al (2015) Homogenization of fish assemblages in different lake depth strata at local and regional scales. Freshw Biol 60:745–757. https://doi.org/10.1111/fwb.12526
Mooij WM, Trolle D, Jeppesen E et al (2010) Challenges and opportunities for integrating lake ecosystem modelling approaches. Aquat Ecol 44:633–667. https://doi.org/10.1007/s10452-010-9339-3
Padial AA, Ceschin F, Declerck SAJ et al (2014) Dispersal ability determines the role of environmental, spatial and temporal drivers of metacommunity structure. PLoS One 9:1–8. https://doi.org/10.1371/journal.pone.0111227
Pinel-Alloul B, Guay C, Angeli N et al (1999) Large-scale spatial heterogeneity of macrozooplankton in Lake of Geneva. Can J Fish Aquat Sci 56:1437–1451
Plitzko SJ, Drossel B (2015) The effect of dispersal between patches on the stability of large trophic food webs. Theor Ecol 8:233–244. https://doi.org/10.1007/s12080-014-0247-3
Power ME (2001) Field biology, food web models, and management: Challenges of context and scale. Oikos 94:118–129. https://doi.org/10.1034/j.1600-0706.2001.11317.x
R Core Team (2022) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna
Rejas D, Declerck S, Auwerkerken J et al (2005) Plankton dynamics in a tropical floodplain lake: fish, nutrients, and the relative importance of bottom-up and top-down control. Freshw Biol 50:52–69. https://doi.org/10.1111/j.1365-2427.2004.01306.x
Resetarits WJ (2001) Colonization under threat of predation: avoidance of fish by an aquatic beetle, Tropisternus lateralis (Coleoptera: Hydrophilidae). Oecologia 129:155–160. https://doi.org/10.1007/s004420100704
Romare P, Berg S, Lauridsen T, Jeppesen E (2003) Spatial and temporal distribution of fish and zooplankton in a shallow lake. Freshw Biol 48:1353–1362. https://doi.org/10.1080/00222930701835555
Sarremejane R, Cid N, Stubbington R et al (2020) DISPERSE, a trait database to assess the dispersal potential of European aquatic macroinvertebrates. Sci Data 7:1–9. https://doi.org/10.1038/s41597-020-00732-7
Schindler DE, Scheuerell MD (2002) Habitat coupling in aquatic ecosystems. Oikos 98:177–189
Seebens H, Einsle U, Straile D (2013) Deviations from synchrony: Spatio-temporal variability of zooplankton community dynamics in a large lake. J Plankton Res 35:22–32. https://doi.org/10.1093/plankt/fbs084
Shimoda Y, Rao YR, Watson S, Arhonditsis GB (2016) Optimizing the complexity of phytoplankton functional group modeling: An allometric approach. Ecol Inf 31:1–17. https://doi.org/10.1016/j.ecoinf.2015.11.001
Sommer U, Maciej Gliwicz Z, Lampert W, Duncan A (1986) The PEG-model of seasonal succession of planktonic events in fresh waters. Arch für Hydrobiol 106:433–447
Stoffels RJ, Clarke KR, Closs GP (2005) Spatial scale and benthic community organisation in the littoral zones of large oligotrophic lakes: Potential for cross-scale interactions. Freshw Biol 50:1131–1145. https://doi.org/10.1111/j.1365-2427.2005.01384.x
Straile D (2002) North Atlantic Oscillation synchronizes food-web interactions in central European lakes. Proc Biol Sci 269:391–395
Strecker AL, Casselman JM, Fortin MJ et al (2011) A multi-scale comparison of trait linkages to environmental and spatial variables in fish communities across a large freshwater lake. Oecologia 166:819–831. https://doi.org/10.1007/s00442-011-1924-1
Thackeray SJ, George DG, Jones RI, Winfield IJ (2004) Quantitative analysis of the importance of wind-induced circulation for the spatial structuring of planktonic populations. Freshw Biol 49:1091–1102. https://doi.org/10.1111/j.1365-2427.2004.01252.x
Thackeray SJ, George DG, Jones RI, Winfield IJ (2006) Statistical quantification of the effect of thermal stratification on patterns of dispersion in a freshwater zooplankton community. Aquat Ecol 40:23–32. https://doi.org/10.1007/s10452-005-9021-3
Tolonen KT, Vilmi A, Karjalainen SM et al (2017) Ignoring spatial effects results in inadequate models for variation in littoral macroinvertebrate diversity. Oikos 126:852–862. https://doi.org/10.1111/oik.03587
Tolonen KT, Cai Y, Vilmi A, Maaria S (2018) Environmental filtering and spatial effects on metacommunity organisation differ among littoral macroinvertebrate groups deconstructed by biological traits. Aquat Ecol 52:119–131. https://doi.org/10.1007/s10452-018-9649-4
Urabe J (1990) Stable horizontal variation in the zooplankton community structure of a reservoir maintained by predation and competition. Limnol Oceanogr 35:1703–1717. https://doi.org/10.4319/lo.1990.35.8.1703
Vanschoenwinkel B, Gielen S, Vandewaerde H et al (2008) Relative importance of different dispersal vectors for small aquatic invertebrates in a rock pool metacommunity. Ecography 31:567–577. https://doi.org/10.1111/j.0906-7590.2008.05442.x
Vilmi A, Karjalainen SM, Hellsten S, Heino J (2016a) Bioassessment in a metacommunity context: Are diatom communities structured solely by species sorting? Ecol Indic 62:86–94. https://doi.org/10.1016/j.ecolind.2015.11.043
Vilmi A, Karjalainen SM, Nokela T et al (2016b) Unravelling the drivers of aquatic communities using disparate organismal groups and different taxonomic levels. Ecol Indic 60:108–118. https://doi.org/10.1016/j.ecolind.2015.06.023
Visman V, McQueen DJ, Demers E (1994) Zooplankton spatial patterns in two lakes with contrasting fish community structure. Hydrobiologia 284:177–191. https://doi.org/10.1007/BF00006688
Warren P (1989) Spatial and temporal variation in the structure of a freshwater food web. Oikos 55:299–311
Weyhenmeyer GA (2004) Synchrony in relationships between the North Atlantic Oscillation and water chemistry among Sweden’s largest lakes. Limnol Oceanogr 49:1191–1201. https://doi.org/10.4319/lo.2004.49.4.1191
Wood SN (2011) Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models. J R Stat Soc Series B Stat Methodol 73:3–36. https://doi.org/10.1111/j.1467-9868.2010.00749.x
Zanon JE, de Carvalho P, Rodrigues LC, Bini LM (2019) Potential mechanisms related to the spatial synchrony of phytoplankton is dependent on the type of data. Hydrobiologia 841:95–108. https://doi.org/10.1007/s10750-019-04009-y
Zhao K, Song K, Pan Y et al (2017) Metacommunity structure of zooplankton in river networks: roles of environmental and spatial factors. Ecol Indic 73:96–104. https://doi.org/10.1016/j.ecolind.2016.07.026
Zhao K, Wang L, Riseng C et al (2018) Factors determining zooplankton assemblage difference among a man-made lake, connecting canals, and the water-origin river. Ecol Indic 84:488–496. https://doi.org/10.1016/j.ecolind.2017.07.052
Acknowledgements
We thank multiple funding sources that supported this work, including the FUND for Lake George, the Darrin Fresh Water Institute endowment fund, and in recent years the Jefferson Project at Lake George, which is a collaboration of Rensselaer Polytechnic Institute, IBM Research, and the Lake George Association. We would also like to acknowledge the many field and laboratory staff, undergraduate and graduate interns, and data managers and statisticians who have been involved with monitoring efforts on Lake George. We also thank multiple anonymous reviewers, whose comments contributed to improving this manuscript.
Author information
Authors and Affiliations
Contributions
All authors contributed to conceiving, designing, and implementing the study. JJB, MSS, WDH, LWE, and RAR analyzed and interpreted the data. All authors contributed to writing and reviewed the manuscript.
Corresponding author
Ethics declarations
Conflict of interest
The authors declare no conflicts of interest.
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Borrelli, J.J., Schuler, M.S., Hintz, W.D. et al. Considering sub-basins in the spatio-temporal dynamics of lake food webs. Aquat Sci 86, 8 (2024). https://doi.org/10.1007/s00027-023-01022-1
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s00027-023-01022-1