Examining inter‐regional and intra‐seasonal differences in wintering waterfowl landscape associations among Pacific and Atlantic flyways DOI Creative Commons
Matthew Hardy, Christopher K. Williams, Brian S. Ladman

et al.

Journal of Avian Biology, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 18, 2024

The Central Valley of California (CVC) and Mid‐Atlantic (MA) in the U.S. are both critical sites for nationwide food security, many waterfowl species annually, especially during winter, providing feeding roosting locations a variety species. Mapping distributions, using NEXRAD, may aid adaptive management important habitat allow various government agencies to better understand interface between wild domestic birds commercial agricultural practices. We used 9 years (2014–2023) data from US NEXRAD network model winter relative abundance CVC MA as function weather, temporal period, environmental conditions, landcover characteristics boosted regression tree modelling. were able quantify variability effect size 28 different covariates across space time within two geographic regions which host high density nationally agriculture. In general, (distance features), condition (wetness index) predictors had strongest on predicting wintering regions, while effects land cover composition more regionally temporally specific. Increased daily mean temperature was major predictor increasing throughout winter. Increasing precipitation differing MA, decreasing general CVC. strongly tied flooding landscape rice availability, whereas where water is less limiting, generally governed by waste grain availability emergent wetland landscape. Waterfowl higher nearer Atlantic coast lakes, they lakes. Our findings promote understanding spatial associations features conservation biosecurity protocols.

Language: Английский

Examining inter‐regional and intra‐seasonal differences in wintering waterfowl landscape associations among Pacific and Atlantic flyways DOI Creative Commons
Matthew Hardy, Christopher K. Williams, Brian S. Ladman

et al.

Journal of Avian Biology, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 18, 2024

The Central Valley of California (CVC) and Mid‐Atlantic (MA) in the U.S. are both critical sites for nationwide food security, many waterfowl species annually, especially during winter, providing feeding roosting locations a variety species. Mapping distributions, using NEXRAD, may aid adaptive management important habitat allow various government agencies to better understand interface between wild domestic birds commercial agricultural practices. We used 9 years (2014–2023) data from US NEXRAD network model winter relative abundance CVC MA as function weather, temporal period, environmental conditions, landcover characteristics boosted regression tree modelling. were able quantify variability effect size 28 different covariates across space time within two geographic regions which host high density nationally agriculture. In general, (distance features), condition (wetness index) predictors had strongest on predicting wintering regions, while effects land cover composition more regionally temporally specific. Increased daily mean temperature was major predictor increasing throughout winter. Increasing precipitation differing MA, decreasing general CVC. strongly tied flooding landscape rice availability, whereas where water is less limiting, generally governed by waste grain availability emergent wetland landscape. Waterfowl higher nearer Atlantic coast lakes, they lakes. Our findings promote understanding spatial associations features conservation biosecurity protocols.

Language: Английский

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