A call for viewshed ecology: Advancing our understanding of the ecology of information through viewshed analysis
A call for viewshed ecology: Advancing our understanding of the ecology of information through viewshed analysis
复制标题
DOI：
10.1111/2041-210x.12902
复制
发表时间：
2018-03-01
影响因子：
6.6
通讯作者：
Travis, Justin M. J.
中科院分区：
文献类型：
--
作者：
Aben, Job;Pellikka, Petri;Travis, Justin M. J.
人们对信息获取在生态过程中的作用以及在塑造生命史及其进化中的作用越来越感兴趣。与听觉和嗅觉线索相比，视觉线索可能为动物提供信息的范围对环境的空间结构特别敏感。然而，在基础和应用生态学研究中，对视觉信息的量化和解释仍然非常有限。我们认为，在空间背景下的动物行为的全面理解将大大受益于客观量化的动物可以潜在地获得视觉信息，因此引起广泛关注的视域分析。该分析识别通过视线连接到视点的网格化表面的所有单元，从而提供关于可以看到位置周围环境的程度的信息。虽然大量使用在非生态学科，包括民用规划和考古学，视域分析很少应用于生态环境。在这里，我们强调的机会，结合三维遥感数据和动物跟踪数据，使视觉信息如何影响动物的空间行为，生态和进化的理解取得重大进展的视域方法。
There has been rapid increase of interest in the role that information acquisition plays in ecological process and in shaping life histories and their evolution. Compared to auditory and olfactory cues, the range at which visual cues are likely to be informative to animals is particularly sensitive to the spatial structure of the environment. However, quantification of and accounting for availability of visual information in fundamental and applied ecological research remains extremely limited. We argue that a comprehensive understanding of animal behaviour in a spatial context would greatly benefit from objective quantification of the area an animal can potentially obtain visual information from and therefore draw broad attention to viewshed analysis. This analysis identifies all cells of a gridded surface that are connected by lines-of-sight to a viewpoint, hence, providing information on how much of the environment surrounding a location can be seen. Although heavily used in non-ecological disciplines including civil planning and archaeology, viewshed analysis has seldom been applied in an ecological context. Here, we highlight the opportunity to make use of viewshed approaches in conjunction with three-dimensional remote sensing data and data from animal tracking to make major progress in understanding how visual information influences animal spatial behaviour, ecology and evolution.