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Old tricks-new opportunities: combining telemetry ellipses and landscape metrics to assess habitat spatial structure
Landscape Ecology ( IF 5.2 ) Pub Date : 2020-11-26 , DOI: 10.1007/s10980-020-01160-z
Alison R. Menefee , Humberto L. Perotto-Baldivieso , William P. Kuvlesky , Leonard A. Brennan , J. Alfonso Ortega-S. , Michael T. Page , Julia K. Burchsted

Confidence ellipses are areas derived from telemetry data that can be used to assess daily habitat use when integrated with land cover spatial structure. Our goal was to assess the feasibility of using confidence ellipses derived from telemetry data to assess landscape structure. Our objectives were (1) to identify the geometry of confidence ellipses that can be used in landscape level studies; and (2) to quantify landscape structure within confidence ellipses derived from telemetry data. We used Rio Grande wild turkeys (Meleagris gallopavo intermedia) as our model species. We simulated landscapes and clipped them using known confidence ellipse shapes. We then compared the clipped areas with values measured for our simulated landscapes using landscape metrics that describe landscape structure. We used these results to select ellipse derived from telemetry data to evaluate landscape structure used by wild turkeys during the breeding and wintering seasons in South Texas. Ellipses with a low x/y ratio (< 0.38) had significant differences from simulated landscape measurements. This information was used to remove wild turkey ellipses that did not meet the simulation criteria. Our results suggest that wild turkeys in South Texas used larger, more aggregated and interconnected patches of woody cover during the wintering season than during the breeding season. Landscape simulations facilitate the understanding of how landscape sampling strategies may be affected by sampling shape models. The integration of wildlife telemetry data with landscape ecology approaches and remote sensing were important in identifying spatial patterns used by wildlife.

中文翻译:

老技巧-新机遇:结合遥测椭圆和景观指标评估栖息地空间结构

置信椭圆是来自遥测数据的区域,当与土地覆盖空间结构结合时,可用于评估日常栖息地使用。我们的目标是评估使用来自遥测数据的置信椭圆来评估景观结构的可行性。我们的目标是 (1) 确定可用于景观水平研究的置信椭圆的几何形状;(2) 量化来自遥测数据的置信椭圆内的景观结构。我们使用 Rio Grande 野生火鸡(Meleagris gallopavo intermedia)作为我们的模型物种。我们模拟了风景并使用已知的置信椭圆形状对其进行裁剪。然后,我们使用描述景观结构的景观指标将裁剪区域与模拟景观的测量值进行比较。我们使用这些结果选择来自遥测数据的椭圆来评估野生火鸡在南德克萨斯州繁殖和越冬季节使用的景观结构。具有低 x/y 比 (< 0.38) 的椭圆与模拟景观测量值有显着差异。该信息用于去除不符合模拟标准的野生火鸡椭圆。我们的结果表明,与繁殖季节相比,德克萨斯州南部的野生火鸡在越冬季节使用更大、更聚集和相互连接的木质覆盖斑块。景观模拟有助于理解采样形状模型如何影响景观采样策略。
更新日期:2020-11-26
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