Works matching IS 09067590 AND DT 2020 AND VI 43 AND IP 1
Results: 15
A standardized assessment of forest mammal communities reveals consistent functional composition and vulnerability across the tropics.
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- Ecography, 2020, v. 43, n. 1, p. 75, doi. 10.1111/ecog.04773
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Ecological memory at millennial time‐scales: the importance of data constraints, species longevity and niche features.
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- Ecography, 2020, v. 43, n. 1, p. 1, doi. 10.1111/ecog.04772
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Network‐scale effects of invasive species on spatially‐structured amphibian populations.
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- Ecography, 2020, v. 43, n. 1, p. 119, doi. 10.1111/ecog.04571
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Evaluating the ecological realism of plant species distribution models with ecological indicator values.
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- Ecography, 2020, v. 43, n. 1, p. 161, doi. 10.1111/ecog.04291
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Sampling design may obscure species–area relationships in landscape‐scale field studies.
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- Ecography, 2020, v. 43, n. 1, p. 107, doi. 10.1111/ecog.04568
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Survey completeness of a global citizen‐science database of bird occurrence.
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- Ecography, 2020, v. 43, n. 1, p. 34, doi. 10.1111/ecog.04632
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Liana abundance and diversity increase with rainfall seasonality along a precipitation gradient in Panama.
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- Ecography, 2020, v. 43, n. 1, p. 25, doi. 10.1111/ecog.04678
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Landscape transformation alters functional diversity in coastal seascapes.
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- Ecography, 2020, v. 43, n. 1, p. 138, doi. 10.1111/ecog.04504
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NicheMapR – an R package for biophysical modelling: the ectotherm and Dynamic Energy Budget models.
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- Ecography, 2020, v. 43, n. 1, p. 85, doi. 10.1111/ecog.04680
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Incorporating intraspecific variation into species distribution models improves distribution predictions, but cannot predict species traits for a wide‐spread plant species.
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- Ecography, 2020, v. 43, n. 1, p. 60, doi. 10.1111/ecog.04630
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Text‐analysis reveals taxonomic and geographic disparities in animal pollination literature.
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- Ecography, 2020, v. 43, n. 1, p. 44, doi. 10.1111/ecog.04532
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Landscape‐scale habitat response of African elephants shows strong selection for foraging opportunities in a human dominated ecosystem.
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- Ecography, 2020, v. 43, n. 1, p. 149, doi. 10.1111/ecog.04240
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Multispectral canopy reflectance improves spatial distribution models of Amazonian understory species.
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- Ecography, 2020, v. 43, n. 1, p. 128, doi. 10.1111/ecog.04729
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Predicting biodiversity loss in island and countryside ecosystems through the lens of taxonomic and functional biogeography.
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- Ecography, 2020, v. 43, n. 1, p. 97, doi. 10.1111/ecog.04507
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- Article
Trade‐offs in covariate selection for species distribution models: a methodological comparison.
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- Ecography, 2020, v. 43, n. 1, p. 11, doi. 10.1111/ecog.04707
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- Article