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Estimating carrying capacity for sandhill cranes using habitat suitability and spatial optimization models

机译:利用栖息地适应性和空间优化模型估算沙丘鹤的承载能力

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Northern Ohio supports a small population of greater sandhill cranes (Grus canadensis tabida) that is currently listed as state-endangered. Population restoration efforts are currently under consideration, although it is not known if habitats in the state can support additional nesting pairs. Accurate estimates of breeding pair carrying capacity are necessary before conservation efforts can be effectively developed and implemented. We estimated carrying capacity for nesting sandhill cranes using habitat suitability and spatial optimization models. We first developed a spatially explicit habitat suitability index (HSI) model to identify suitable nesting sites at five locations in northern Ohio. We then used the HSI output to estimate the carrying capacity at each location. We modeled carrying capacity as an anti-covering location problem, a spatial optimization model that determines the maximum number of breeding pairs an area can support, given that nests must be spaced 3000 In apart. Our results indicate that habitats in Ohio where cranes currently breed are near carrying capacity; while unoccupied suitable habitats are available in other portions of the state. This analysis enables wildlife managers to identify priority locations for crane conservation in Ohio and to determine which restoration efforts (e.g. habitat restoration or population augmentation) are most likely to succeed at each location. Our methodology provides an important and innovative conservation tool that can be applied to other species with strong attachment to sites (e.g. nest or den) that are optimally spaced at some minimum distance from conspecifics, competitors, predators, or sources of disturbance
机译:俄亥俄州北部支持一小群较大的沙丘鹤(Grus canadensis tabida),目前被列为濒危国家。尽管尚不知道该州的栖息地能否支持更多的筑巢对,但目前正在考虑进行种群恢复工作。在有效开发和实施保护工作之前,有必要对繁殖对的承载能力进行准确估算。我们使用栖息地适应性和空间优化模型估算了嵌套沙丘鹤的承载能力。我们首先开发了空间显式的栖息地适宜性指数(HSI)模型,以在俄亥俄州北部的五个位置确定合适的筑巢地点。然后,我们使用HSI输出来估计每个位置的承载能力。我们将承载能力建模为一个防覆盖的位置问题,这是一种空间优化模型,可确定一个区域可以支持的最大繁殖对数量,前提是巢之间的间隔必须为3000 In。我们的结果表明,俄亥俄州目前起重机繁殖的栖息地已接近承载能力。而该州其他地区则有无人居住的合适栖息地。这项分析使野生动植物管理者能够确定俄亥俄州保护起重机的优先位置,并确定在每个位置最有可能成功进行哪些恢复工作(例如栖息地恢复或人口增加)。我们的方法论提供了一种重要且创新的保护工具,可应用于与物种紧密相连的其他物种(例如巢或窝),这些物种与物种,竞争者,捕食者或干扰源之间的最佳距离最小

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