Examining inter-regional and intra-seasonal differences in wintering waterfowl landscape associations among Pacific and Atlantic flyways

IF 1.5 3区 生物学 Q1 ORNITHOLOGY
Matthew J. Hardy, Christopher K. Williams, Brian S. Ladman, Maurice E. Pitesky, Cory T. Overton, Michael L. Casazza, Elliott L. Matchett, Diann J. Prosser, Jeffrey J. Buler
{"title":"Examining inter-regional and intra-seasonal differences in wintering waterfowl landscape associations among Pacific and Atlantic flyways","authors":"Matthew J. Hardy,&nbsp;Christopher K. Williams,&nbsp;Brian S. Ladman,&nbsp;Maurice E. Pitesky,&nbsp;Cory T. Overton,&nbsp;Michael L. Casazza,&nbsp;Elliott L. Matchett,&nbsp;Diann J. Prosser,&nbsp;Jeffrey J. Buler","doi":"10.1111/jav.03296","DOIUrl":null,"url":null,"abstract":"<p>The Central Valley of California (CVC) and Mid-Atlantic (MA) in the U.S. are both critical sites for nationwide food security, and many waterfowl species annually, especially during the winter, providing feeding and roosting locations for a variety of species. Mapping waterfowl distributions, using NEXRAD, may aid in the adaptive management of important waterfowl habitat and allow various government agencies to better understand the interface between wild and domestic birds and commercial agricultural practices. We used 9 years (2014–2023) of data from the US NEXRAD network to model winter waterfowl relative abundance in the CVC and MA as a function of weather, temporal period, environmental conditions, and landcover characteristics using boosted regression tree modelling. We were able to quantify the variability in effect size of 28 different covariates across space and time within two geographic regions which are critical to nationwide waterfowl management and host a high density of nationally important commercial agriculture. In general, weather, geographic (distance to features), and landcover condition (wetness index) predictors had the strongest relative effect on predicting wintering waterfowl relative abundance in both regions, while effects of land cover composition were more regionally and temporally specific. Increased daily mean temperature was a major predictor of increasing relative waterfowl abundance in both regions throughout the winter. Increasing precipitation had differing effects within regions, increasing relative waterfowl abundance in the MA, while decreasing in general within the CVC. Increasing relative waterfowl abundance in the CVC are strongly tied to the flooding of the landscape and rice availability, whereas waterfowl in the MA, where water is less limiting, are generally governed by waste grain availability and emergent wetland on the landscape. Waterfowl relative abundance in the MA was generally higher nearer to the Atlantic coast and lakes, while in the CVC they were higher nearer to lakes. Our findings promote a better understanding of spatial associations of waterfowl to landscape features and may aid in conservation and biosecurity management protocols.</p>","PeriodicalId":15278,"journal":{"name":"Journal of Avian Biology","volume":"2025 3","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jav.03296","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Avian Biology","FirstCategoryId":"99","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/jav.03296","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ORNITHOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

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

研究越冬水禽景观在太平洋和大西洋飞行路线上的区域间和季节内差异
美国的加利福尼亚中央山谷(CVC)和中大西洋(MA)都是全国粮食安全的重要地点,每年都有许多水禽物种,特别是在冬季,为各种物种提供了觅食和栖息的场所。利用NEXRAD绘制水禽分布图可能有助于对重要水禽栖息地进行适应性管理,并使各政府机构能够更好地了解野生和家禽与商业农业实践之间的联系。我们利用美国NEXRAD网络9年(2014-2023年)的数据,利用增强回归树模型模拟了CVC和MA冬季水禽相对丰度与天气、时间、环境条件和土地覆盖特征的关系。我们能够量化两个地理区域内28个不同协变量在空间和时间上的效应大小变异性,这两个地理区域对全国水禽管理至关重要,并承载着全国重要的高密度商业农业。总体而言,天气、地理(地物距离)和土地覆盖条件(湿度指数)预测因子对预测越冬水禽相对丰度的相对影响最强,而土地覆盖组成的影响更具区域和时间特异性。日平均温度升高是整个冬季两个地区水禽相对丰度增加的主要预测因子。降水增加对不同区域的水禽丰度有不同的影响,MA区域水禽相对丰度增加,而CVC区域水禽相对丰度总体减少。CVC中水禽相对丰度的增加与景观的洪水和水稻的可用性密切相关,而MA中水禽的限制较少,通常受废粮可用性和景观上新兴湿地的支配。水禽相对丰度在大西洋沿岸和湖泊附近普遍较高,而在CVC中,水禽相对丰度在湖泊附近较高。我们的发现促进了对水禽与景观特征的空间关联的更好理解,并可能有助于保护和生物安全管理协议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Avian Biology
Journal of Avian Biology 生物-鸟类学
CiteScore
3.70
自引率
0.00%
发文量
56
审稿时长
3 months
期刊介绍: Journal of Avian Biology publishes empirical and theoretical research in all areas of ornithology, with an emphasis on behavioural ecology, evolution and conservation.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信