globalchange  > 全球变化的国际研究计划
DOI: 10.1111/geb.12984
WOS ID: WOS:000481245900001
A review of methods for quantifying spatial predator-prey overlap
Author: Carroll, Gemma1,2; Holsman, Kirstin K.3; Brodie, Stephanie1,2; Thorson, James T.3; Hazen, Elliott L.1,2; Bograd, Steven J.1,2; Haltuch, Melissa A.4; Kotwicki, Stan3; Samhouri, Jameal5; Spencer, Paul3; Willis-Norton, Ellen6; Selden, Rebecca L.7
Corresponding Author: Carroll, Gemma
ISSN: 1466-822X
EISSN: 1466-8238
Publishing Year: 2019
Language: 英语
Keyword: arrowtooth flounder ; climate change ; cold pool ; Eastern Bering Sea ; ecosystem models ; predator-prey overlap ; spatial overlap ; species distribution models ; species interactions ; walleye pollock
WOS Category: Ecology ; Geography, Physical
WOS Research Area: Environmental Sciences & Ecology ; Physical Geography
English Abstract:

Background Studies that attempt to measure shifts in species distributions often consider a single species in isolation. However, understanding changes in spatial overlap between predators and their prey might provide deeper insight into how species redistribution affects food web dynamics. Predator-prey overlap metrics Here, we review a suite of 10 metrics [range overlap, area overlap, the local index of collocation (Pianka's O), Hurlbert's index, biomass-weighted overlap, asymmetrical alpha, Schoener's D, Bhattacharyya's coefficient, the global index of collocation and the AB ratio] that describe how two species overlap in space, using concepts such as binary co-occurrence, encounter rates, spatial niche similarity, spatial independence, geographical similarity and trophic transfer. We describe the specific ecological insights that can be gained using each overlap metric, in order to determine which is most appropriate for describing spatial predator-prey interactions for different applications. Simulation and case study We use simulated predator and prey distributions to demonstrate how the 10 metrics respond to variation in three types of predator-prey interactions: changing spatial overlap between predator and prey, changing predator population size and changing patterns of predator aggregation in response to prey density. We also apply these overlap metrics to a case study of a predatory fish (arrowtooth flounder, Atheresthes stomias) and its prey (juvenile walleye pollock, Gadus chalcogrammus) in the Eastern Bering Sea, AK, USA. We show how the metrics can be applied to understand spatial and temporal variation in the overlap of species distributions in this rapidly changing Arctic ecosystem. Conclusions Using both simulated and empirical data, we provide a roadmap for ecologists and other practitioners to select overlap metrics to describe particular aspects of spatial predator-prey interactions. We outline a range of research and management applications for which each metric may be suited.

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Document Type: 期刊论文
Appears in Collections:全球变化的国际研究计划

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Affiliation: 1.Univ Calif Santa Cruz, Inst Marine Sci, Santa Cruz, CA 95064 USA
2.NOAA, Environm Res Div, Southwest Fisheries Sci Ctr, Natl Marine Fisheries Serv, Monterey, CA USA
3.NOAA, Resource Ecol & Fisheries Management Div, Alaska Fisheries Sci Ctr, Natl Marine Fisheries Serv, Seattle, WA USA
4.NOAA, Habitat & Ecosyst Proc Res Program, Alaska Fisheries Sci Ctr, Seattle, WA USA
5.NOAA, Conservat Biol Div, Northwest Fisheries Sci Ctr, Natl Marine Fisheries Serv, Seattle, WA USA
6.Univ Calif Santa Cruz, Dept Ecol & Evolutionary Biol, Santa Cruz, CA 95064 USA
7.Rutgers State Univ, Ecol Evolut & Nat Resources, New Brunswick, NJ USA

Recommended Citation:
Carroll, Gemma,Holsman, Kirstin K.,Brodie, Stephanie,et al. A review of methods for quantifying spatial predator-prey overlap[J]. GLOBAL ECOLOGY AND BIOGEOGRAPHY,2019-01-01
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