Using Breeding Bird Survey and eBird data to improve marsh bird monitoring abundance indices and trends

IF 1.4 4区 环境科学与生态学 Q3 BIODIVERSITY CONSERVATION Avian Conservation and Ecology Pub Date : 2023-01-01 DOI:10.5751/ace-02357-180104
Kristin Bianchini, Douglas C. Tozer
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引用次数: 1

Abstract

. The elusive nature of many marsh-breeding birds presents a challenge for effective population monitoring. The Great Lakes Marsh Monitoring Program (GLMMP), delivered by Birds Canada, addressed these challenges by concentrating survey efforts in marsh bird habitats and by using survey protocols aimed at maximizing marsh bird detections. GLMMP data suggest that numerous marsh bird species are declining. Here we consider the value of other avian monitoring programs to support our understanding of marsh bird population trends. Our goal was to compare the GLMMP, North American Breeding Bird Survey (BBS), and eBird with each other and with a combined survey, by evaluating frequency of detection, annual indices of abundance, and trend estimates. Using 23 years (1997–2019) of GLMMP, BBS, and eBird data, we calculated annual indices of abundance and trends for each survey for 18 marsh-breeding species across southern Ontario, Canada. We found that the GLMMP had more frequent detections, greater counts, and/or more precise trends for 8 species that breed almost exclusively in marshes, whereas 10 species with more variable habitat preferences had more frequent detections, greater counts, and/or more precise trends based on eBird and/or BBS. We found that combining counts from the GLMMP, BBS, and eBird increased the precision around trend estimates for 11/18 (61%) species; however, trend estimates for combined data tended to be positively biased relative to GLMMP trends for species that also frequent non-marsh habitats. We, therefore, provide evidence that combining citizen science data from multiple sources could increase the power to detect changes in marsh-dependent bird populations. Integrated datasets thus provide a promising avenue for future marsh bird conservation and management
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利用繁殖鸟类调查和eBird数据改进湿地鸟类丰度监测指数和趋势
. 许多沼泽繁殖鸟类难以捉摸的特性对有效的种群监测提出了挑战。由加拿大鸟类局提供的五大湖沼泽监测计划(GLMMP)通过集中调查沼泽鸟类栖息地和使用旨在最大限度地探测沼泽鸟类的调查协议来解决这些挑战。GLMMP数据显示,许多沼泽鸟类物种正在减少。在这里,我们考虑其他鸟类监测项目的价值,以支持我们对沼泽鸟类种群趋势的理解。我们的目标是通过评估检测频率、年度丰度指数和趋势估计,将GLMMP、北美繁殖鸟类调查(BBS)和eBird相互比较并与联合调查进行比较。利用23年(1997-2019)的GLMMP、BBS和eBird数据,我们计算了加拿大安大略省南部18种沼泽繁殖物种的年度丰度指数和趋势。我们发现,在GLMMP中,几乎只在沼泽中繁殖的8种物种具有更高的检测频率、更高的计数和/或更精确的趋势,而在eBird和/或BBS中,栖息地偏好变化较大的10种物种具有更高的检测频率、更高的计数和/或更精确的趋势。我们发现,结合GLMMP、BBS和eBird的计数可以提高11/18(61%)物种的趋势估计值的精度;然而,对于经常出现在非沼泽生境的物种,综合数据的趋势估计相对于GLMMP趋势倾向于正偏倚。因此,我们提供的证据表明,结合来自多个来源的公民科学数据可以增加检测沼泽依赖鸟类种群变化的能力。因此,综合数据集为未来的沼泽鸟类保护和管理提供了一条有希望的途径
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来源期刊
Avian Conservation and Ecology
Avian Conservation and Ecology BIODIVERSITY CONSERVATION-ORNITHOLOGY
CiteScore
2.20
自引率
7.10%
发文量
43
审稿时长
>12 weeks
期刊介绍: Avian Conservation and Ecology is an open-access, fully electronic scientific journal, sponsored by the Society of Canadian Ornithologists and Birds Canada. We publish papers that are scientifically rigorous and relevant to the bird conservation community in a cost-effective electronic approach that makes them freely available to scientists and the public in real-time. ACE is a fully indexed ISSN journal that welcomes contributions from scientists all over the world. While the name of the journal implies a publication niche of conservation AND ecology, we think the theme of conservation THROUGH ecology provides a better sense of our purpose. As such, we are particularly interested in contributions that use a scientifically sound and rigorous approach to the achievement of avian conservation as revealed through insights into ecological principles and processes. Papers are expected to fall along a continuum of pure conservation and management at one end to more pure ecology at the other but our emphasis will be on those contributions with direct relevance to conservation objectives.
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