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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
agricultural and biological sciences
The influence of interspecific interactions on species range expansion rates
Ecography, Volume 37, No. 12, Year 2014
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Description
Ongoing and predicted global change makes understanding and predicting species' range shifts an urgent scientific priority. Here, we provide a synthetic perspective on the so far poorly understood effects of interspecific interactions on range expansion rates. We present theoretical foundations for how interspecific interactions may modulate range expansion rates, consider examples from empirical studies of biological invasions and natural range expansions as well as process-based simulations, and discuss how interspecific interactions can be more broadly represented in process-based, spatiotemporally explicit range forecasts. Theory tells us that interspecific interactions affect expansion rates via alteration of local population growth rates and spatial displacement rates, but also via effects on other demographic parameters. The best empirical evidence for interspecific effects on expansion rates comes from studies of biological invasions. Notably, invasion studies indicate that competitive dominance and release from specialized enemies can enhance expansion rates. Studies of natural range expansions especially point to the potential for competition from resident species to reduce expansion rates. Overall, it is clear that interspecific interactions may have important consequences for range dynamics, but also that their effects have received too little attention to robustly generalize on their importance. We then discuss how interspecific interactions effects can be more widely incorporated in dynamic modeling of range expansions. Importantly, models must describe spatiotemporal variation in both local population dynamics and dispersal. Finally, we derive the following guidelines for when it is particularly important to explicitly represent interspecific interactions in dynamic range expansion forecasts: if most interacting species show correlated spatial or temporal trends in their effects on the target species, if the number of interacting species is low, and if the abundance of one or more strongly interacting species is not closely linked to the abundance of the target species. © 2014 The Authors. Ecography published by Nordic Society Oikos.
Authors & Co-Authors
Svenning, Jens Christian
Denmark, Aarhus
Aarhus Universitet
Gravel, Dominique
Canada, Rimouski
Université du Québec à Rimouski
Holt, Robert Dan
United States, Gainesville
University of Florida
Schurr, Frank M.
France, Montpellier
Institut Des Sciences de L’evolution de Montpellier
Germany, Potsdam
Universität Potsdam
Thuiller, Wilfried
France, Saint Martin D'heres
Université Grenoble Alpes
Münkemüller, Tamara
France, Saint Martin D'heres
Université Grenoble Alpes
Dullinger, Stefan
Austria, Vienna
Universität Wien
Hickler, Thomas
Germany, Frankfurt am Main
Senckenberg Biodiversität Und Klima Forschungszentrum
Higgins, Steven Ian
New Zealand, Dunedin
University of Otago
Nabel, Julia E.M.S.
Switzerland, Birmensdorf
Eidgenössische Forschungsanstalt Für Wald, Schnee Und Landschaft Wsl
Switzerland
Écoles Polytechniques Fédérales
Pagel, Jörn
France, Montpellier
Institut Des Sciences de L’evolution de Montpellier
Germany, Potsdam
Universität Potsdam
Normand, Signe
Switzerland, Birmensdorf
Eidgenössische Forschungsanstalt Für Wald, Schnee Und Landschaft Wsl
Statistics
Citations: 184
Authors: 12
Affiliations: 12
Identifiers
Doi:
10.1111/j.1600-0587.2013.00574.x
ISSN:
09067590
Study Design
Cross Sectional Study