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Habitat-loss-driven predictor coupling limits inference about the independent effects of configuration in additive habitat-amount models: implications for the fragmentation debate

2026-04-15

Abstract excerpt

Additive habitat-amount models are widely used to infer independent configuration effects from observational landscape datasets, yet that inference depends on whether habitat amount and configuration are actually separable in the realised predictor space. Using a global multi-taxa forest dataset assembled from paired continuous and fragmented landscapes, this analysis evaluates that condition directly and shows th...

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Literature Corpus work
a789c0d9-1e89-5330-b05b-52b2fada0e36
DOI
10.64898/2026.04.12.718042
Open publication

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Habitat-loss-driven predictor coupling limits inference about the independent effects of configuration in additive habitat-amount models: implications for the fragmentation debateDOI 10.64898/2026.04.12.718042
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