Author(s):
Martinez-Garcia, Ricardo [UNESP] ; Fleming, Christen H. ; Seppelt, Ralf ; Fagan, William F. ; Calabrese, Justin M.
Date: 2020
Persistent ID: http://hdl.handle.net/11449/200376
Origin: Oasisbr
Subject(s): Ecological theory; Encounter rates; Home ranges; Movement ecology; Ecological theory; Ecological theory; Encounter rates; Encounter rates; Home ranges; Home ranges; Movement ecology; Movement ecology
Description
Made available in DSpace on 2020-12-12T02:05:00Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-08-07
Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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.
ICTP South American Institute for Fundamental Research & Instituto de Física Teórica - UNESP, Rua Dr. Bento Teobaldo Ferraz 271, Bloco 2 - Barra Funda 01140-070
Center for Advanced Systems Understanding (CASUS) Gorlitz
Helmholtz Centre for Environmental Research – UFZ Department of Ecological Modelling
Smithsonian Conservational Biology Institute, National Zoological Park, 1500 Remount Road, Front Royal
Dept. of Biology University of Maryland
Dept. of Ecology & Evolutionary Biology Princeton University
Institute of Geoscience & Geography Martin-Luther-University Halle-Wittenberg
Helmholtz-Zentrum Dresden - Rossendorf (HZDR) Germany
Dept. of Computational Landscape Ecology Helmholtz Centre for Environmental Research-UFZ
ICTP South American Institute for Fundamental Research & Instituto de Física Teórica - UNESP, Rua Dr. Bento Teobaldo Ferraz 271, Bloco 2 - Barra Funda 01140-070
FAPESP: 2016/01343-7