Data for: Prey resources are equally important as climatic conditions for predicting the distribution of a broad-ranged apex predator
Data files
Feb 07, 2023 version files 305.06 MB
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abiotic-biotic-indsp.asc
21.28 MB
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abiotic-biotic-spr.asc
21.23 MB
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abiotic.asc
21.24 MB
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biotic.asc
25.39 MB
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capuchin.asc
21.29 MB
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CMI.asc
25.48 MB
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HAEA_locs_5km.csv
16.64 KB
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HAEA-extent.dbf
20.19 KB
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HAEA-extent.prj
143 B
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HAEA-extent.shp
25.76 MB
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HAEA-extent.shx
292 B
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howler_monkey.asc
21.41 MB
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MTWM.asc
11.73 MB
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README.txt
1.79 KB
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SpeciesRichness.asc
20.85 MB
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three-toed_sloth.asc
21.69 MB
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tree_porcupine.asc
21.34 MB
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TRI.asc
24.33 MB
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two-toed_sloth.asc
21.99 MB
Abstract
Aim: A current biogeographic paradigm states that climate regulates species distributions at continental scales and that biotic interactions are undetectable at coarse-grain extents. However, advances in spatial modelling show that incorporating food resource distributions are important for improving model predictions at large distribution scales. This is particularly relevant to understand the factors limiting distribution of widespread apex predators whose diets are likely to vary across their range.
Location: Neotropical Central and South America
Methods: The harpy eagle (Harpia harpyja) is a large raptor, whose diet is largely comprised of arboreal mammals, all with broad distributions across Neotropical lowland forest. Here, we used a hierarchical modelling approach to determine the relative importance of abiotic factors and prey resource distribution on harpy eagle range limits. Our hierarchical approach consisted of the following modelling sequence of explanatory variables: (a) abiotic covariates, (b) prey resource distributions predicted by an equivalent modelling for each prey, (c) the combination of (a) and (b), and (d) as in (c) but with prey resources considered as a single prediction equivalent to prey species richness.
Results: Incorporating prey distributions improved model predictions but using solely biotic covariates still resulted in a high performing model. In the Abiotic model, Climatic Moisture Index (CMI) was the most important predictor, contributing 76 % to model prediction. Three-toed sloth (Bradypus spp.) was the most important prey resource, contributing 64 % in a combined Abiotic-Biotic model, followed by CMI contributing 30 %. Harpy eagle distribution had high environmental overlap across all individual prey distributions, with highest coincidence through Central America, eastern Colombia, and across the Guiana Shield into northern Amazonia.
Main conclusions: With strong reliance on prey distributions across its range, harpy eagle conservation programs must therefore consider its most important food resources as a key element in the protection of this threatened raptor.
R code to run analyses openly available on GitHub.
Environmental data available from:
WorldClim (v1.4) current: https://www.worldclim.org/data/v1.4/worldclim14.html
ENVIREM: http://envirem.github.io/#downloads
Occurrence data available from:
Harpy Eagle
GBIF: https://doi.org/10.15468/dl.knc9m3
Miranda et al. (2019) database: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0216323#sec011
Harpy eagle occurrences from Vargas González & Vargas (2011) are at a coarser 10-km resolution due to sensitivity of nest locations.
Prey species (all from GBIF):
https://doi.org/10.15468/dl.yo1hbg
https://doi.org/10.15468/dl.bel2eo
https://doi.org/10.15468/dl.rjucnt
https://doi.org/10.15468/dl.p4k3md