AN ASSESSMENT OF BIRD HABITAT QUALITY USING POPULATION GROWTH RATES
AN ASSESSMENT OF BIRD HABITAT QUALITY USING POPULATION GROWTH RATES
复制标题
使用种群增长率评估鸟类栖息地质量
DOI：
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发表时间：
2006
期刊：
影响因子：
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通讯作者：
G. Niemi
中科院分区：
文献类型：
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作者：
M. Knutson;R. K. Hines;L. Powell;Mary A. Friberg;G. Niemi
摘要生存和繁殖直接影响种群增长率（λ），使λ成为评价栖息地质量的基本参数。我们使用现场数据，文献综述，和计算机模拟来预测年生产力和λ的几种陆生鸟类繁殖在美国中西部的洪泛平原和高地森林。我们监测1735巢27种，760巢在高地和975在河漫滩。每种类型的森林栖息地（高地和洪泛区）都是某些物种的来源栖息地。尽管该区域森林覆盖率相对较低，但大多数物种在所有或某些生境中的种群数量稳定或不断增加，包括六个值得养护的物种。在我们寻找λ的一个简单类比时，我们发现只有成虫的表观存活率、幼虫的存活率和年生产力与λ相关，而每日巢存活率和根据点计数估计的相对丰度与λ无关。生存率和年生产率是衡量成本最高的人口参数之一，似乎没有低成本的替代办法。此外，我们的文献检索显示，几个物种的年生产力和λ模型所需的人口统计参数是不可用的。北美需要更多的集体努力，以填补我们对年生产率和λ建模所需的人口参数的知识空白。管理人员可以使用特定生境的年生产力预测来比较物种和生境之间的生境质量，以评估管理计划。
Abstract Survival and reproduction directly affect population growth rate (λ), making λ a fundamental parameter for assessing habitat quality. We used field data, literature review, and a computer simulation to predict annual productivity and λ for several species of landbirds breeding in floodplain and upland forests in the Midwestern United States. We monitored 1735 nests of 27 species; 760 nests were in the uplands and 975 were in the floodplain. Each type of forest habitat (upland and floodplain) was a source habitat for some species. Despite a relatively low proportion of regional forest cover, the majority of species had stable or increasing populations in all or some habitats, including six species of conservation concern. In our search for a simple analog for λ, we found that only adult apparent survival, juvenile survival, and annual productivity were correlated with λ; daily nest survival and relative abundance estimated from point counts were not. Survival and annual productivity are among the most costly demographic parameters to measure and there does not seem to be a low-cost alternative. In addition, our literature search revealed that the demographic parameters needed to model annual productivity and λ were unavailable for several species. More collective effort across North America is needed to fill the gaps in our knowledge of demographic parameters necessary to model both annual productivity and λ. Managers can use habitat-specific predictions of annual productivity to compare habitat quality among species and habitats for purposes of evaluating management plans.