Hierarchical multi-grain models improve descriptions of species' environmental associations, distribution, and abundance

Ecological Applications : a Publication of the Ecological Society of America
Katherine MertesWalter Jetz

Abstract

The characterization of species' environmental niches and spatial distribution predictions based on them are now central to much of ecology and conservation, but implicitly requires decisions about the appropriate spatial scale (i.e., grain) of analysis. Ecological theory and empirical evidence suggest that range-resident species respond to their environment at two characteristic, hierarchical spatial grains: (1) response grain, the (relatively fine) grain at which an individual uses environmental resources, and (2) occupancy grain, the (relatively coarse) grain equivalent to a typical home range. We use a multi-grain (MG) occupancy model, aided by fine-grain remotely sensed imagery, to simultaneously estimate species-environment associations at both grains, conduct grain optimization to measure response grain, and apply this analysis framework to an example species: a medium-sized bird (Tockus deckeni) in a heterogeneous East African landscape. Based on home range analysis of movement data, we calculate an occupancy grain of 1 km for T. deckeni. Using a grain optimization procedure across 32 grains from 10 to 500 m, we identify 60 m as the most strongly supported response grain for a suite of environmental variables, slightly ...Continue Reading

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Jun 28, 2019·Methods in Ecology and Evolution·Laura J GrahamFelix Eigenbrod

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Citations

Oct 18, 2020·Applied and Environmental Microbiology·Estelle RochatStéphane Joost
May 21, 2021·The Journal of Animal Ecology·Diego Ellis-SotoOswald J Schmitz
Sep 7, 2021·Annals of Botany·Markku Åkerblom, Pekka Kaitaniemi

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