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Indicators of site loss from a migration network: Anthropogenic factors influence waterfowl movement patterns at stopover sites

机译:迁移网络的网站损失指标:人为因素影响遥方位的水禽运动模式

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A network of connected wetlands supports migratory movements of waterfowl. These networks are rapidly changing due to intensive human activities around natural habitats. Quantifying how anthropogenic factors change waterfowl movements via a reduction of habitat availability and quality can facilitate a better understanding of the dynamics of these migration networks, and provide early-warning signals for network collapse. Using satellite tracking data for greater white-fronted geese ( Anser albifrons ) in the East Asian-Australasian Flyway, we tested how environmental factors (i.e., anthropogenic and ecological factors) influence geese movement patterns at stopover sites. We found that these factors, e.g., percentage of farmlands in the landscape, and proximity index of wetland patches, accurately predicted percentage of flying time and the median movement distance of tracked geese at stopover sites. Farmlands may increase energy consumptions in stopover sites because the geese flew more frequently, made longer movements, and switched their behaviour more frequently in landscapes with a higher proportion of farmlands. Goose movements were constrained in natural habitats, as a higher proportion of water and wetlands increased their movements, and thereby increased flying time and median movement distances. We suggest that using environmental factors monitored by remote sensing techniques to predict bird movement patterns is a powerful quantitative tool to measure quality of stopover sites. The changes in environmental factors in these stopover sites can be used as an indicator for the probability of losing a site from a migration network, and thereby generates insights for setting priorities in conservation planning of migratory birds.
机译:连接湿地网络支持水禽的迁移运动。由于自然栖息地周围的人类活动,这些网络正在迅速变化。量化人为因素如何通过减少栖息地可用性而改变水禽运动,质量可以促进更好地了解这些迁移网络的动态,并为网络崩溃提供预警信号。使用卫星跟踪数据在东亚澳大利亚飞往东亚澳大利亚飞行器中的大白前鹅(Anser Albifrons),我们测试了环境因素(即,人类学和生态因素)如何影响铲地部位的鹅运动模式。我们发现这些因素,例如,景观中的农田百分比,湿地斑块的近距离指数,准确地预测了遥远的鹅的飞行时间和中位运动距离。农田可能会增加中途停留位点的能量消耗,因为鹅在越来越频繁地飞行,更频繁地在景观中更频繁地转换为耕地比例。鹅的运动受到自然栖息地的限制,因为水和湿地的比例增加,增加了运动时间和中位运动距离。我们建议使用通过遥感技术监测的环境因素来预测鸟类运动模式是一种强大的定量工具,可以测量覆盖位点的质量。这些遥替站点中的环境因素的变化可以用作从迁移网络丢失部位的概率的指标,从而产生用于在候鸟保护计划中确定优先级的见解。

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