五大湖绿头鸭种群动态

IF 1.9 3区 环境科学与生态学 Q3 ECOLOGY
Benjamin Z. Luukkonen, Scott R. Winterstein, Daniel B. Hayes, Drew N. Fowler, Gregory J. Soulliere, John M. Coluccy, Amy A. Shipley, John Simpson, Brendan Shirkey, Jason M. Winiarski, Benjamin J. O'Neal, Barbara A. Avers, Gerald R. Urquhart, Philip Lavretsky
{"title":"五大湖绿头鸭种群动态","authors":"Benjamin Z. Luukkonen,&nbsp;Scott R. Winterstein,&nbsp;Daniel B. Hayes,&nbsp;Drew N. Fowler,&nbsp;Gregory J. Soulliere,&nbsp;John M. Coluccy,&nbsp;Amy A. Shipley,&nbsp;John Simpson,&nbsp;Brendan Shirkey,&nbsp;Jason M. Winiarski,&nbsp;Benjamin J. O'Neal,&nbsp;Barbara A. Avers,&nbsp;Gerald R. Urquhart,&nbsp;Philip Lavretsky","doi":"10.1002/jwmg.22702","DOIUrl":null,"url":null,"abstract":"<p>Breeding mallard (<i>Anas platyrhynchos</i>) populations in the Great Lakes region (Michigan, Minnesota, Wisconsin, USA) declined by &gt;40% between 2000–2022 based on abundance data collected during spring aerial surveys. Mallards are an important waterfowl species in this region, where an estimated 60–80% of the mallard harvest is composed of locally banded birds. Extensive population monitoring datasets are available for mallards, presenting an opportunity to address complex questions such as estimating productivity at large spatial and temporal scales, identifying the effects of harvest on mallard demography, quantifying mechanisms for harvest compensation, and integrating multiple datasets to quantify the demographic drivers of population change. Our objective was to simultaneously examine factors affecting demographic parameters and their relative contribution to Great Lakes mallard population dynamics. We used 32 years of banding, band recovery, and aerial survey data collected for mallards from Michigan and Wisconsin to develop an integrated population model (IPM). We used age ratios at banding to estimate productivity, band recoveries from hunter-harvested birds to estimate annual survival and cause-specific mortality (i.e., harvest or non-hunting), and modeled abundance using aerial survey and demographic parameter estimates from 1991–2022. The IPM results indicated the decline in Great Lakes mallard abundance was caused by increased non-hunting mortality and a decline in productivity. Productivity varied spatially but temporally declined with the loss of Conservation Reserve Program area. Moreover, our productivity assessment provided evidence of density dependence in reproduction. Non-hunting mortality was 3.5–6.7 times and 1.3–4.2 times greater than harvest mortality for adult and juvenile female mallards, respectively, indicating environmental factors during spring and summer, not harvest, most greatly influenced annual mortality for female mallards. Our IPM reduced uncertainty in the factors affecting Great Lakes mallard population dynamics and indicated management actions that address non-hunting mortality and productivity would be most effective in increasing Great Lakes mallard abundance.</p>","PeriodicalId":17504,"journal":{"name":"Journal of Wildlife Management","volume":"89 2","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jwmg.22702","citationCount":"0","resultStr":"{\"title\":\"Great Lakes mallard population dynamics\",\"authors\":\"Benjamin Z. Luukkonen,&nbsp;Scott R. Winterstein,&nbsp;Daniel B. Hayes,&nbsp;Drew N. Fowler,&nbsp;Gregory J. Soulliere,&nbsp;John M. Coluccy,&nbsp;Amy A. Shipley,&nbsp;John Simpson,&nbsp;Brendan Shirkey,&nbsp;Jason M. Winiarski,&nbsp;Benjamin J. O'Neal,&nbsp;Barbara A. Avers,&nbsp;Gerald R. Urquhart,&nbsp;Philip Lavretsky\",\"doi\":\"10.1002/jwmg.22702\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Breeding mallard (<i>Anas platyrhynchos</i>) populations in the Great Lakes region (Michigan, Minnesota, Wisconsin, USA) declined by &gt;40% between 2000–2022 based on abundance data collected during spring aerial surveys. Mallards are an important waterfowl species in this region, where an estimated 60–80% of the mallard harvest is composed of locally banded birds. Extensive population monitoring datasets are available for mallards, presenting an opportunity to address complex questions such as estimating productivity at large spatial and temporal scales, identifying the effects of harvest on mallard demography, quantifying mechanisms for harvest compensation, and integrating multiple datasets to quantify the demographic drivers of population change. Our objective was to simultaneously examine factors affecting demographic parameters and their relative contribution to Great Lakes mallard population dynamics. We used 32 years of banding, band recovery, and aerial survey data collected for mallards from Michigan and Wisconsin to develop an integrated population model (IPM). We used age ratios at banding to estimate productivity, band recoveries from hunter-harvested birds to estimate annual survival and cause-specific mortality (i.e., harvest or non-hunting), and modeled abundance using aerial survey and demographic parameter estimates from 1991–2022. The IPM results indicated the decline in Great Lakes mallard abundance was caused by increased non-hunting mortality and a decline in productivity. Productivity varied spatially but temporally declined with the loss of Conservation Reserve Program area. Moreover, our productivity assessment provided evidence of density dependence in reproduction. Non-hunting mortality was 3.5–6.7 times and 1.3–4.2 times greater than harvest mortality for adult and juvenile female mallards, respectively, indicating environmental factors during spring and summer, not harvest, most greatly influenced annual mortality for female mallards. Our IPM reduced uncertainty in the factors affecting Great Lakes mallard population dynamics and indicated management actions that address non-hunting mortality and productivity would be most effective in increasing Great Lakes mallard abundance.</p>\",\"PeriodicalId\":17504,\"journal\":{\"name\":\"Journal of Wildlife Management\",\"volume\":\"89 2\",\"pages\":\"\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2024-12-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jwmg.22702\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Wildlife Management\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/jwmg.22702\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Wildlife Management","FirstCategoryId":"93","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/jwmg.22702","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

根据春季空中调查收集的丰度数据,大湖区(密歇根州、明尼苏达州、威斯康星州)的繁殖绿头鸭(Anas platyrhynchos)数量在2000年至2022年间下降了40%。绿头鸭是该地区重要的水禽物种,估计有60-80%的绿头鸭是由当地的带状鸟类组成的。大量的种群监测数据集可用于绿头鸭,为解决复杂的问题提供了机会,例如在大空间和时间尺度上估计生产力,确定收获对绿头鸭人口的影响,量化收获补偿机制,以及整合多个数据集来量化人口变化的人口驱动因素。我们的目标是同时研究影响人口统计参数的因素及其对大湖区绿头鸭种群动态的相对贡献。利用32年来收集的密歇根州和威斯康星州野鸭的带带、带带恢复和航空调查数据,建立了一个综合种群模型(IPM)。我们使用圈养时的年龄比来估计生产力,使用圈养时的种群恢复来估计年存活率和特定原因死亡率(即,圈养或非圈养),并使用1991-2022年的航空调查和人口统计参数估计来模拟丰度。IPM结果表明,五大湖绿头鸭数量的减少是由于非狩猎死亡率的增加和生产力的下降造成的。随着保护区面积的减少,生产力在空间上存在差异,但在时间上呈下降趋势。此外,我们的生产力评估提供了繁殖中密度依赖的证据。成年雌绿头鸭和幼雌绿头鸭的非狩猎死亡率分别是收获死亡率的3.5 ~ 6.7倍和1.3 ~ 4.2倍,说明对雌绿头鸭年死亡率影响最大的是春夏季环境因素,而不是收获季节。我们的IPM减少了影响五大湖绿头鸭种群动态因素的不确定性,并表明解决非狩猎死亡率和生产力的管理行动将最有效地增加五大湖绿头鸭的丰度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Great Lakes mallard population dynamics

Great Lakes mallard population dynamics

Breeding mallard (Anas platyrhynchos) populations in the Great Lakes region (Michigan, Minnesota, Wisconsin, USA) declined by >40% between 2000–2022 based on abundance data collected during spring aerial surveys. Mallards are an important waterfowl species in this region, where an estimated 60–80% of the mallard harvest is composed of locally banded birds. Extensive population monitoring datasets are available for mallards, presenting an opportunity to address complex questions such as estimating productivity at large spatial and temporal scales, identifying the effects of harvest on mallard demography, quantifying mechanisms for harvest compensation, and integrating multiple datasets to quantify the demographic drivers of population change. Our objective was to simultaneously examine factors affecting demographic parameters and their relative contribution to Great Lakes mallard population dynamics. We used 32 years of banding, band recovery, and aerial survey data collected for mallards from Michigan and Wisconsin to develop an integrated population model (IPM). We used age ratios at banding to estimate productivity, band recoveries from hunter-harvested birds to estimate annual survival and cause-specific mortality (i.e., harvest or non-hunting), and modeled abundance using aerial survey and demographic parameter estimates from 1991–2022. The IPM results indicated the decline in Great Lakes mallard abundance was caused by increased non-hunting mortality and a decline in productivity. Productivity varied spatially but temporally declined with the loss of Conservation Reserve Program area. Moreover, our productivity assessment provided evidence of density dependence in reproduction. Non-hunting mortality was 3.5–6.7 times and 1.3–4.2 times greater than harvest mortality for adult and juvenile female mallards, respectively, indicating environmental factors during spring and summer, not harvest, most greatly influenced annual mortality for female mallards. Our IPM reduced uncertainty in the factors affecting Great Lakes mallard population dynamics and indicated management actions that address non-hunting mortality and productivity would be most effective in increasing Great Lakes mallard abundance.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Wildlife Management
Journal of Wildlife Management 环境科学-动物学
CiteScore
4.00
自引率
13.00%
发文量
188
审稿时长
9-24 weeks
期刊介绍: The Journal of Wildlife Management publishes manuscripts containing information from original research that contributes to basic wildlife science. Suitable topics include investigations into the biology and ecology of wildlife and their habitats that has direct or indirect implications for wildlife management and conservation. This includes basic information on wildlife habitat use, reproduction, genetics, demographics, viability, predator-prey relationships, space-use, movements, behavior, and physiology; but within the context of contemporary management and conservation issues such that the knowledge may ultimately be useful to wildlife practitioners. Also considered are theoretical and conceptual aspects of wildlife science, including development of new approaches to quantitative analyses, modeling of wildlife populations and habitats, and other topics that are germane to advancing wildlife science. Limited reviews or meta analyses will be considered if they provide a meaningful new synthesis or perspective on an appropriate subject. Direct evaluation of management practices or policies should be sent to the Wildlife Society Bulletin, as should papers reporting new tools or techniques. However, papers that report new tools or techniques, or effects of management practices, within the context of a broader study investigating basic wildlife biology and ecology will be considered by The Journal of Wildlife Management. Book reviews of relevant topics in basic wildlife research and biology.
×
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:481959085
Book学术官方微信