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首页> 美国卫生研究院文献>Movement Ecology >Opportunities for the application of advanced remotely-sensed data in ecological studies of terrestrial animal movement
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Opportunities for the application of advanced remotely-sensed data in ecological studies of terrestrial animal movement

机译：在陆地动物运动生态学研究中应用先进遥感数据的机会

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摘要

Animal movement patterns in space and time are a central aspect of animal ecology. Remotely-sensed environmental indices can play a key role in understanding movement patterns by providing contiguous, relatively fine-scale data that link animal movements to their environment. Still, implementation of newly available remotely-sensed data is often delayed in studies of animal movement, calling for a better flow of information to researchers less familiar with remotely-sensed data applications. Here, we reviewed the application of remotely-sensed environmental indices to infer movement patterns of animals in terrestrial systems in studies published between 2002 and 2013. Next, we introduced newly available remotely-sensed products, and discussed their opportunities for animal movement studies. Studies of coarse-scale movement mostly relied on satellite data representing plant phenology or climate and weather. Studies of small-scale movement frequently used land cover data based on Landsat imagery or aerial photographs. Greater documentation of the type and resolution of remotely-sensed products in ecological movement studies would enhance their usefulness. Recent advancements in remote sensing technology improve assessments of temporal dynamics of landscapes and the three-dimensional structures of habitats, enabling near real-time environmental assessment. Online movement databases that now integrate remotely-sensed data facilitate access to remotely-sensed products for movement ecologists. We recommend that animal movement studies incorporate remotely-sensed products that provide time series of environmental response variables. This would facilitate wildlife management and conservation efforts, as well as the predictive ability of movement analyses. Closer collaboration between ecologists and remote sensing experts could considerably alleviate the implementation gap. Ecologists should not expect that indices derived from remotely-sensed data will be directly analogous to field-collected data and need to critically consider which remotely-sensed product is best suited for a given analysis.
机译：动物在时空上的运动方式是动物生态学的重要方面。遥感环境指数可以通过提供将动物运动与其周围环境联系起来的连续，相对小规模的数据，在理解运动模式方面发挥关键作用。尽管如此，在动物运动的研究中，新获得的遥感数据的实施通常会被延迟，这要求向不太熟悉遥感数据应用的研究人员提供更好的信息流。在这里，我们回顾了2002年至2013年发表的研究中遥感环境指数在推断陆地系统中动物运动模式中的应用。接下来，我们介绍了新近可用的遥感产品，并讨论了它们在动物运动研究中的机会。对粗尺度运动的研究主要依赖于代表植物物候或气候和天气的卫星数据。基于Landsat影像或航空照片的小规模移动研究经常使用的土地覆盖数据。在生态运动研究中更多地记录遥感产品的类型和分辨率，将增强其实用性。遥感技术的最新进展改进了对景观时间动态和生境三维结构的评估，从而实现了近实时的环境评估。现在集成了遥感数据的在线运动数据库便于运动生态学家访问遥感产品。我们建议将动物运动研究纳入遥感产品，以提供环境响应变量的时间序列。这将有助于野生动植物的管理和保护工作，以及运动分析的预测能力。生态学家和遥感专家之间的更紧密合作可以大大减轻实施方面的差距。生态学家不应期望从遥感数据中得出的指标将直接与现场收集的数据类似，而需要批判性地考虑哪种遥感产品最适合给定的分析。

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