Details

Autor(en) / Beteiligte

• Schlägel, Ulrike E.
• Grimm, Volker
• Blaum, Niels
• Colangeli, Pierluigi
• Dammhahn, Melanie
• Eccard, Jana A.
• Hausmann, Sebastian L.
• Herde, Antje
• Hofer, Heribert
• Joshi, Jasmin
• Kramer‐Schadt, Stephanie
• Litwin, Magdalena
• Lozada‐Gobilard, Sissi D.
• Müller, Marina E. H.
• Müller, Thomas
• Nathan, Ran
• Petermann, Jana S.
• Pirhofer‐Walzl, Karin
• Radchuk, Viktoriia
• Rillig, Matthias C.
• Roeleke, Manuel
• Schäfer, Merlin
• Scherer, Cédric
• Schiro, Gabriele
• Scholz, Carolin
• Teckentrup, Lisa
• Tiedemann, Ralph
• Ullmann, Wiebke
• Voigt, Christian C.
• Weithoff, Guntram
• Jeltsch, Florian

Titel

Movement‐mediated community assembly and coexistence

Ist Teil von

• Biological reviews of the Cambridge Philosophical Society, 2020-08, Vol.95 (4), p.1073-1096

Ort / Verlag

Oxford, UK: Blackwell Publishing Ltd

Erscheinungsjahr

2020

Quelle

Wiley Online Library

Beschreibungen/Notizen

• 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.