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Title (Primary) Movement‐mediated community assembly and coexistence
Author Schlägel, U.E.; Grimm, V.; Blaum, N.; Colangeli, P.; Dammhahn, M.; Eccard, J.A.; Hausmann, S.L.; Herde, A.; Hofer, H.; Joshi, J.; Kramer‐Schadt, S.; Litwin, M.; Lozada‐Gobilard, S.D.; Müller, M.E.H.; Müller, T.; Nathan, R.; Petermann, J.S.; Pirhofer‐Walzl, K.; Radchuk, V.; Rillig, M.C.; Roeleke, M.; Schäfer, M.; Scherer, C.; Schiro, G.; Scholz, C.; Teckentrup, L.; Tiedemann, R.; Ullmann, W.; Voigt, C.C.; Weithoff, G.; Jeltsch, F.;
Journal Biological Reviews
Year 2020
Department OESA; iDiv;
Volume 95
Issue 4
Language englisch;
POF III (all) T11;
Keywords highlight; biodiversity; animal movement; dispersal; migration; nomadism; mobile links; metacommunity; species coexistence; biotic filter; environmental filter
Abstract Organismal movement is ubiquitous and facilitates important ecological mechanisms that drive community and metacommunity composition and hence biodiversity. In most existing ecological theories and models in biodiversity research, movement is represented simplistically, ignoring the behavioural basis of movement and consequently the variation in behaviour at species and individual levels. However, as human endeavours modify climate and land use, the behavioural processes of organisms in response to these changes, including movement, become critical to understanding the resulting biodiversity loss. Here, we draw together research from different subdisciplines in ecology to understand the impact of individual‐level movement processes on community‐level patterns in species composition and coexistence. We join the movement ecology framework with the key concepts from metacommunity theory, community assembly and modern coexistence theory using the idea of micro–macro links, where various aspects of emergent movement behaviour scale up to local and regional patterns in species mobility and mobile‐link‐generated patterns in abiotic and biotic environmental conditions. These in turn influence both individual movement and, at ecological timescales, mechanisms such as dispersal limitation, environmental filtering, and niche partitioning. We conclude by highlighting challenges to and promising future avenues for data generation, data analysis and complementary modelling approaches and provide a brief outlook on how a new behaviour‐based view on movement becomes important in understanding the responses of communities under ongoing environmental change.
ID 23059
Persistent UFZ Identifier https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=23059
Schlägel, U.E., Grimm, V., Blaum, N., Colangeli, P., Dammhahn, M., Eccard, J.A., Hausmann, S.L., Herde, A., Hofer, H., Joshi, J., Kramer‐Schadt, S., Litwin, M., Lozada‐Gobilard, S.D., Müller, M.E.H., Müller, T., Nathan, R., Petermann, J.S., Pirhofer‐Walzl, K., Radchuk, V., Rillig, M.C., Roeleke, M., Schäfer, M., Scherer, C., Schiro, G., Scholz, C., Teckentrup, L., Tiedemann, R., Ullmann, W., Voigt, C.C., Weithoff, G., Jeltsch, F. (2020):
Movement‐mediated community assembly and coexistence
Biol. Rev. 95 (4), 1073 - 1096