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Demographic stochasticity and resource autocorrelation control biological invasions in heterogeneous landscapes


Giometto, Andrea; Altermatt, Florian; Rinaldo, Andrea (2017). Demographic stochasticity and resource autocorrelation control biological invasions in heterogeneous landscapes. Oikos, 126(11):1554-1563.

Abstract

Mounting theoretical evidence suggests that demographic stochasticity, environmental heterogeneity and biased movement of organisms individually a ect the dynamics of biological invasions and range expansions. Studies of species spread in heterogeneous landscapes have traditionally characterized invasion velocities as functions of the mean resource density throughout the landscape, thus neglecting higher-order moments of the spatial resource distribution. Here, we show theoretically that di erent spatial arrangements of resources lead to di erent spread velocities even if the mean resource density throughout the landscape is kept constant. Speci cally, we nd that increasing the resource autocorrelation length causes a reduction in the speed of species spread. e model shows that demographic stochasticity plays a key role in the slowdown, which is strengthened when individuals can actively move towards resources. We then experimentally corroborated the theoretically predicted reduction in propagation speed in microcosm experiments with the protist Euglena gracilis by comparing spread in landscapes with di erent resource autocorrelation lengths. Our work identi es the resource autocorrelation length as a key modulator and a simple measure of landscape susceptibility to biological invasions, which needs to be considered for predicting invasion dynamics within naturally heterogeneous environmental corridors.

Abstract

Mounting theoretical evidence suggests that demographic stochasticity, environmental heterogeneity and biased movement of organisms individually a ect the dynamics of biological invasions and range expansions. Studies of species spread in heterogeneous landscapes have traditionally characterized invasion velocities as functions of the mean resource density throughout the landscape, thus neglecting higher-order moments of the spatial resource distribution. Here, we show theoretically that di erent spatial arrangements of resources lead to di erent spread velocities even if the mean resource density throughout the landscape is kept constant. Speci cally, we nd that increasing the resource autocorrelation length causes a reduction in the speed of species spread. e model shows that demographic stochasticity plays a key role in the slowdown, which is strengthened when individuals can actively move towards resources. We then experimentally corroborated the theoretically predicted reduction in propagation speed in microcosm experiments with the protist Euglena gracilis by comparing spread in landscapes with di erent resource autocorrelation lengths. Our work identi es the resource autocorrelation length as a key modulator and a simple measure of landscape susceptibility to biological invasions, which needs to be considered for predicting invasion dynamics within naturally heterogeneous environmental corridors.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Evolutionary Biology and Environmental Studies
Dewey Decimal Classification:570 Life sciences; biology
590 Animals (Zoology)
Language:English
Date:November 2017
Deposited On:05 Jan 2018 20:17
Last Modified:15 Jun 2018 00:01
Publisher:Wiley-Blackwell Publishing, Inc.
ISSN:0030-1299
Funders:We gratefully acknowledge the support by Swiss Federal Institute of Aquatic Science and Technology (Eawag) discretionary funds, Swiss National Science Foundation Project P2ELP2_168498, Swiss National Science Foundation Project 200021_157174, Swiss National Science Foundation Project PP00P3_150698
Additional Information:This is the peer reviewed version of the following article: OIKOS, Volume 126, Issue 11, 2017, Pages 1554–1563 which has been published in final form at https://doi.org/10.1111/oik.04330. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving (http://olabout.wiley.com/WileyCDA/Section/id-820227.html#terms).
OA Status:Green
Publisher DOI:https://doi.org/10.1111/oik.04330
Project Information:
  • : Funder
  • : Grant ID
  • : Project TitleWe gratefully acknowledge the support by Swiss Federal Institute of Aquatic Science and Technology (Eawag) discretionary funds
  • : FunderSNSF
  • : Grant ID
  • : Project TitleSwiss National Science Foundation Project P2ELP2_168498
  • : FunderSNSF
  • : Grant ID
  • : Project TitleSwiss National Science Foundation Project 200021_157174
  • : FunderSNSF
  • : Grant ID
  • : Project TitleSwiss National Science Foundation Project PP00P3_150698

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