Inferring habitat quality and habitat selection using static site occupancy models
Philip T. Patton, Krishna Pacifici, Jaime Collazo

TL;DR
This study demonstrates how static occupancy models can effectively assess habitat quality and selection for the Puerto Rican Vireo using minimal data, revealing ecological traps and species interactions relevant for conservation.
Contribution
The paper introduces joint occupancy modeling to evaluate habitat quality and selection, incorporating species interactions with limited resource-intensive data.
Findings
Vireos prefer forest and shaded coffee over sun coffee.
Shade coffee may act as an ecological trap for vireos.
Joint models outperform independent models in predictive performance.
Abstract
When evaluating the ecological value of land use within a landscape, investigators typically rely on measures of habitat selection and habitat quality. Traditional measures of habitat selection and habitat quality require data from resource intensive study designs (e.g., telemetry or mark-recapture). Often, managers must evaluate ecological value despite only having data from less resource intensive study designs. In this paper, we use occupancy data to measure habitat quality and habitat selection response for the Puerto Rican Vireo, an endemic songbird whose population growth is depressed by brood parasitism from the Shiny Cowbird. We were interested in how vireo habitat quality and vireo habitat selection varied among three land uses (forest, shaded coffee plantations, and sun coffee) in Puerto Rico. We estimated vireo occupancy probability as a measure of habitat selection, and the…
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Taxonomy
TopicsRangeland and Wildlife Management · Wildlife Ecology and Conservation · Avian ecology and behavior
