Spatial Patterns and Functional Redundancies in a Changing Boreal Lake Landscape
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Global transformations extend beyond local habitats; therefore, larger-scale approaches are needed to assess community-level responses and resilience to unfolding environmental changes. Using long-term data (1996–2011), we evaluated spatial patterns and functional redundancies in the littoral invertebrate communities of 85 Swedish lakes, with the objective of assessing their potential resilience to environmental change at regional scales (that is, spatial resilience). Multivariate spatial modeling was used to differentiate groups of invertebrate species exhibiting spatial patterns in composition and abundance (that is, deterministic species) from those lacking spatial patterns (that is, stochastic species). We then determined the functional feeding attributes of the deterministic and stochastic invertebrate species, to infer resilience. Between one and three distinct spatial patterns in invertebrate composition and abundance were identified in approximately one-third of the species; the remainder were stochastic. We observed substantial differences in metrics between deterministic and stochastic species. Functional richness and diversity decreased over time in the deterministic group, suggesting a loss of resilience in regional invertebrate communities. However, taxon richness and redundancy increased monotonically in the stochastic group, indicating the capacity of regional invertebrate communities to adapt to change. Our results suggest that a refined picture of spatial resilience emerges if patterns of both the deterministic and stochastic species are accounted for. Spatially extensive monitoring may help increase our mechanistic understanding of community-level responses and resilience to regional environmental change, insights that are critical for developing management and conservation agendas in this current period of rapid environmental transformation.
Keywordsadaptive capacity benthic invertebrates functional traits global change landscape ecology redundancy spatial resilience
The Swedish Environmental Protection Agency, the Swedish Agency for Water and Marine Management, and the many people involved in the monitoring program for making the analyses of these datasets possible are gratefully acknowledged. This work was funded by the August T. Larsson Foundation (NJ Faculty, Swedish University of Agricultural Sciences) and the Swedish Research Councils Vetenskapsrådet (2014-5828) and Formas (2014-1193). The Nebraska Cooperative Fish and Wildlife Research Unit is jointly supported by a cooperative agreement between the U.S. Geological Survey, the Nebraska Game and Parks Commission, the University of Nebraska – Lincoln, the U.S. Fish and Wildlife Service, and the Wildlife Management Institute. Any use of trade names is for descriptive purposes only and does not imply endorsement by the U.S. Government. We thank Graeme Cumming, Dirac Twidwell, and two anonymous reviewers for helpful comments on previous manuscript versions.
- Bertolo A, Blanchet FG, Magnan P, Brodeur P, Mingelbier M et al. 2012. Inferring processes from spatial patterns: the role of directional and non-directional forces in shaping fish larvae distribution in a freshwater lake system. PLoS One 7(11):e50239. doi: 10.1371/journal.pone.0050239.PubMedCentralPubMedCrossRefGoogle Scholar
- Clavero M, Brotons L. 2010. Functional homogenization of bird communities along habitat gradients: accounting for niche multidimensionality. Glob Ecol Biogeogr 19:684–96.Google Scholar
- Fernandes IM, Henriques-Silva R, Penha J, Zuanon J, Peres-Neto P. 2014. Spatiotemporal dynamics in a seasonal metacommunity structure is predictable: the case of floodplain-fish communities. Ecography 37:464–75.Google Scholar
- Laliberté E, Wells JA, DeClerck F, Metcalfe DJ, Catterall CP, Queiroz C, Aubin I, Bonser SP, Ding Y, Fraterrigo JM, McNamara S, Morgan JW, Merlos DS, Vesk PA, Mayfield MM. 2010. Land-use intensification reduces functional redundancy and response diversity in plant communities. Ecol Lett 13:76–86.PubMedCrossRefGoogle Scholar
- Millennium Ecosystem Assessment. 2005. Ecosystems and human well-being: current state and trends. Washington: Island Press.Google Scholar
- R Development Core Team. 2012. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, http://cran.r-project.org.
- Schmidt-Kloiber A, Hering D. 2012. www.freshwaterecology.info. The taxa and autecology database for freshwater organisms, version 5.0.
- Wilander A, Johnson RK, Goedkoop W. 2003. Riksinventering 2000. En synoptisk studie av vattenkemi och bottenfauna i svenska sjöar och vattendrag. Institutionen för Miljöanalys, Uppsala, Sweden.Google Scholar