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7 results for “whip-poor-will”

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dryad36/100

Data from: Eastern Whip-poor-wills have larger nonbreeding home ranges in areas with more agriculture and forest fragmentation

<p>Migratory bird populations can be limited by events in disparate parts of the world. Birds in tropical regions are facing rapid habitat loss, climate change, and intensive agricultural regimes, potentially contributing to population declines. However, an understanding of basic non-breeding ecology of species, such as habitat and space use, is critical for determining if this is the case. Populations of the nocturnal/crepuscular Eastern Whip-poor-will (<em>Antrostomus</em> <em>vociferus</em>) have declined by 70% since the 1960's, yet data on the species are sparse outside of the breeding season. We extracted data from 41 archival GPS tags deployed on whip-poor-wills and estimated non-breeding home ranges and land covers used. We used satellite imagery and stable carbon and nitrogen isotope values from claws grown during the non-breeding season to analyze how land cover and habitat moisture impacted home range size and relative trophic level. Forest was by far the most prevalent land cover used by whip-poor-wills, occurring in all home ranges and accounting for &gt;80% of diurnal roosting points. We found that less forest, the presence of agriculture, and more edge (irrespective of land cover) were associated with larger home ranges. Stable isotope values differed by broadscale ecoregion but not local land cover characteristics in our study, indicating that regional idiosyncrasies or broadscale processes can be more important in determining stable isotope ratios. Our findings suggest that the loss, fragmentation, and replacement of forest by agriculture in the core of the whip-poor-will's non-breeding range may represent a threat to the species, as they rely heavily upon forest, and appear to alter space use in response to changes in forest cover.</p>

opencc-zeroNov 2022View details →
dryad36/100

Data from: Eastern Whip-poor-wills have larger nonbreeding home ranges in areas with more agriculture and forest fragmentation

Open the record for dataset details and reuse information.

publicNov 2022View details →
dryad32/100

Hot stops: Timing, pathways, and habitat selection of migrating Eastern Whip-poor-wills

<p>Although miniaturized data loggers allow new insights into avian migration, incomplete knowledge of basic patterns persists, especially for nightjars. Using GPS data loggers, this study examined migration ecology of the Eastern whip-poor-will (<em><span>Antrostomus vociferus</span></em><span>), across three</span> migration strategies: flyover, short-stay, and long-stay. <span>We documented migration movements, conducted hotspot analyses, quantified land cover within 1-km and 5-km buffers at used and available locations, and modeled habitat selection during migration. From 2018-2020 we captured breeding whip-poor-wills from three study sites in Massachusetts and programmed GPS tags to collect data during fall and spring migration periods. Across 19 individual males (nine of them with repeated years of data), GPS tags collected 479 </span>locations, where 30% were classified as flyover points, 33% as short-stays, and 37% as long-stay locations. We documented seasonal flexibility in migration duration, routes, and stopover locations among individuals and between years. Analyses identified hotspot clusters in fall and spring migration in the Sierra de Tamaulipas in Mexico. Land cover at used locations differed across location types at the 5-km scale, where closed forest cover increased and crop cover decreased for flyover, short-stay, and long-stay locations, and urban cover was lowest at long-stay locations. <span>D</span>iscrete choice modeling indicated that habitat selection by migrating whip-poor-wills differs depending on the scale and migration strategy. For example, at the 5-km scale birds avoided urban cover at long-stay locations and selected closed forest cover at short-stay locations. We suggest that w<span>hip-poor-wills may use land cover cues at large spatial scales, like 5-km, to influence rush or stay tactics during migration. </span></p>

opencc-zeroSep 2023View details →
dryad32/100

Landscape features affect occupancy probability of Antrostomus vociferus (Eastern Whip-poor-will) in West Virginia managed forests

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publicDec 2025View details →
dryad32/100

Hot stops: Timing, pathways, and habitat selection of migrating Eastern Whip-poor-wills

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publicSep 2023View details →
dryad28/100

Data from: High spatiotemporal overlap in the non-breeding season despite geographically dispersed breeding locations in the eastern whip-poor-will (Antrostomus vociferus)

<p>The eastern whip-poor-will (Antrostomus vociferus) is a Neotropical migrant that has declined by 70% in recent decades, yet when and where populations are limited throughout the annual cycle is poorly understood. We deployed 115 archival GPS tags across a 9.5-degree latitudinal span (~1000 km; midwestern US) on whip-poor-wills in the summers of 2017 and 2019, and extracted data from 52 tags. The associated .csv file exhibits the raw movement data extracted from the archival GPS tags, where each row represents a GPS fix location for a given bird. The columns present are largely those generated by Lotek, although researchers created a few columns to aid in identification of birds and downstream data analysis. Of particular note is the "season" column, where we quantified the likely behavior (e.g., fall migration) of the individual at the given time and location. These points essentially represent the migratory tracks from both fall and spring (when available), including both the breeding and wintering grounds location. We found that whip-poor-wills circumvented the Gulf of Mexico, and populations across a large latitudinal gradient came together in eastern Texas in early October, resulting in decreased connectivity throughout migration. Breeding-winter migratory connectivity was low (MC = 0.22 ± 0.12), with extensive overlap of core wintering areas in southern Mexico and Guatemala. See methods in manuscript for more info.</p>

opencc-zeroFeb 2022View details →
dryad28/100

Data from: High spatiotemporal overlap in the non-breeding season despite geographically dispersed breeding locations in the eastern whip-poor-will (Antrostomus vociferus)

Open the record for dataset details and reuse information.

publicFeb 2022View details →

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