Literature DB >> 32275984

How range residency and long-range perception change encounter rates.

Ricardo Martinez-Garcia1, Christen H Fleming2, Ralf Seppelt3, William F Fagan4, Justin M Calabrese5.   

Abstract

Encounter rates link movement strategies to intra- and inter-specific interactions, and therefore translate individual movement behavior into higher-level ecological processes. Indeed, a large body of interacting population theory rests on the law of mass action, which can be derived from assumptions of Brownian motion in an enclosed container with exclusively local perception. These assumptions imply completely uniform space use, individual home ranges equivalent to the population range, and encounter dependent on movement paths actually crossing. Mounting empirical evidence, however, suggests that animals use space non-uniformly, occupy home ranges substantially smaller than the population range, and are often capable of nonlocal perception. Here, we explore how these empirically supported behaviors change pairwise encounter rates. Specifically, we derive novel analytical expressions for encounter rates under Ornstein-Uhlenbeck motion, which features non-uniform space use and allows individual home ranges to differ from the population range. We compare OU-based encounter predictions to those of Reflected Brownian Motion, from which the law of mass action can be derived. For both models, we further explore how the interplay between the scale of perception and home-range size affects encounter rates. We find that neglecting realistic movement and perceptual behaviors can lead to systematic, non-negligible biases in encounter-rate predictions.
Copyright © 2020. Published by Elsevier Ltd.

Keywords:  Ecological theory; Encounter rates; Home ranges; Movement ecology

Mesh:

Year:  2020        PMID: 32275984     DOI: 10.1016/j.jtbi.2020.110267

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  5 in total

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2.  Interpreting how nonlinear diffusion affects the fate of bistable populations using a discrete modelling framework.

Authors:  Yifei Li; Pascal R Buenzli; Matthew J Simpson
Journal:  Proc Math Phys Eng Sci       Date:  2022-06-01       Impact factor: 3.213

3.  Estimation of the maximum utilization area including home range and peripheral sites.

Authors:  Kana Terayama; Hiroshi Ebihara; Hironori Seino; Motomi Genkai-Kato
Journal:  Ecol Evol       Date:  2022-05-07       Impact factor: 3.167

4.  Jaguar movement behavior: using trajectories and association rule mining algorithms to unveil behavioral states and social interactions.

Authors:  Suelane Garcia Fontes; Ronaldo Gonçalves Morato; Silvio Luiz Stanzani; Pedro Luiz Pizzigatti Corrêa
Journal:  PLoS One       Date:  2021-02-04       Impact factor: 3.240

5.  Movement ecology of vulnerable lowland tapirs between areas of varying human disturbance.

Authors:  E P Medici; S Mezzini; C H Fleming; J M Calabrese; M J Noonan
Journal:  Mov Ecol       Date:  2022-03-14       Impact factor: 3.600

  5 in total

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