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Simulating the Effects of Wetland Loss and Inter-Annual Variability on the Fitness of Migratory Bird Species

机译:模拟湿地损失和年间可变性对迁徙鸟类健身的影响

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Long-distance migratory shorebirds require wetland stopover sites where they can forage and deposit sufficient fat to complete their migration and, in the spring, reproduce. Conservation biologists are concerned that continental-scale reductions in wetland availability and quality due to human disturbance, climate change, and natural drought events are negatively impacting these species by eliminating critical stopovers along migratory flyways. We describe an individual-based migration model driven by remotely sensed land surface data, climate data assimilation models, and biological field data to examine the impact of changing environmental conditions on migration routes, temporal patterns, and fitness. We used an evolutionary programming approach to evaluate birds' adaptive responses to variation in refueling potential in the landscape. Birds' shifted their migratory routes and extended their stopovers as the mean quality of the landscape decreased and spatial variation in refueling potential increased. We discuss possible applications of our model for understanding inter-annual climate variation, climate change, and wetland loss.
机译:长途迁徙的船鸟需要湿地覆盖遗址,他们可以觅食和存放足够的脂肪来完成迁移,并在春季繁殖。保护生物学家担心由于人类扰动,气候变化和自然干旱事件导致湿地可用性和质量的大陆尺度减少,通过消除沿迁移的飞行道的临界障碍对这些物种产生负面影响。我们描述了一种由远程感测到的土地表面数据,气候数据同化模型和生物现场数据驱动的个体迁移模型,以检查改变环境条件对迁移路线,时间模式和健身的影响。我们使用了一种进化的编程方法来评估鸟类的适应性对景观中加油潜力的变化。鸟类转移了迁移的路线,并将其铲斗扩展,因为景观的平均质量下降和加油潜力的空间变化增加。我们讨论我们的模型可能的应用程序,以了解年度气候变化,气候变化和湿地损失。

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