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.
Highlights
A key goal of movement ecology is to use knowledge of movement behaviors to understand largescale ecological processes (Nathan et al, 2008; Mueller and Fagan, 2008; Hawkes, 2009; Morales et al, 2010; Atkins et al, 2019)
If we neglect the effect of range residency and calculate the encounter rate between a pair of Reflected Brownian Motion (RBM) individuals moving within that same population range, we find that the RBM encounter rate is a decreasing function of Rλ and ρ1
We evaluate the ratio between the Ornstein-Uhlenbeck process (OU) and the RBM mean encounter rate, η ≡ EOU/ERBM, over a range of conditions that include changing the distribution and sizes of home ranges within a population range at constant perceptual range, Fig. 6, and varying perceptual ranges on a constant spatial distribution of home ranges and home range sizes, Fig. 7
Summary
A key goal of movement ecology is to use knowledge of movement behaviors to understand largescale ecological processes (Nathan et al, 2008; Mueller and Fagan, 2008; Hawkes, 2009; Morales et al, 2010; Atkins et al, 2019). This ‘upscaling’ from individual movement to population- and community-level consequences, including competition, predation, mate finding, and disease transmission, will be mediated by pairwise interactions. A huge swath of ecological theory rests on the mass action assumption
Published Version
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