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Predicting Greater Prairie-Chicken Lek Site Suitability to Inform Conservation Actions

机译:预测更大的草原-小鸡沥水场是否适合通知保护行动

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摘要

The demands of a growing human population dictates that expansion of energy infrastructure, roads, and other development frequently takes place in native rangelands. Particularly, transmission lines and roads commonly divide rural landscapes and increase fragmentation. This has direct and indirect consequences on native wildlife that can be mitigated through thoughtful planning and proactive approaches to identifying areas of high conservation priority. We used nine years (2003–2011) of Greater Prairie-Chicken (Tympanuchus cupido) lek locations totaling 870 unique leks sites in Kansas and seven geographic information system (GIS) layers describing land cover, topography, and anthropogenic structures to model habitat suitability across the state. The models obtained had low omission rates (<0.18) and high area under the curve scores (AUC >0.81), indicating high model performance and reliability of predicted habitat suitability for Greater Prairie-Chickens. We found that elevation was the most influential in predicting lek locations, contributing three times more predictive power than any other variable. However, models were improved by the addition of land cover and anthropogenic features (transmission lines, roads, and oil and gas structures). Overall, our analysis provides a hierarchal understanding of Greater Prairie-Chicken habitat suitability that is broadly based on geomorphological features followed by land cover suitability. We found that when land features and vegetation cover are suitable for Greater Prairie-Chickens, fragmentation by anthropogenic sources such as roadways and transmission lines are a concern. Therefore, it is our recommendation that future human development in Kansas avoid areas that our models identified as highly suitable for Greater Prairie-Chickens and focus development on land cover types that are of lower conservation concern.
机译:人口增长的需求决定了能源基础设施,道路和其他发展的扩张经常发生在本土牧场上。特别是,传输线和道路通常会分割乡村景观,并加剧碎片化。这可以通过考虑周全的规划和积极的方法来确定具有高度保护意义的地区,从而减轻对本地野生生物的直接和间接影响。我们使用了九年(2003-2011年)的大草原鸡(Tympanuchus cupido)韭菜场所,在堪萨斯州共有870个独特的韭菜站点,并使用七个描述土地覆盖,地形和人为结构的地理信息系统(GIS)层来模拟整个栖息地的适宜性状态。获得的模型的遗漏率低(<0.18),曲线下面积高(AUC> 0.81),表明模型性能高,并且预测的栖息地对大草原鸡的适应性高。我们发现海拔高度对预测韭葱位置的影响最大,其预测能力是其他变量的三倍。但是,通过增加土地覆盖和人为特征(传输线,道路以及石油和天然气结构)改进了模型。总体而言,我们的分析从总体上基于地貌特征以及土地覆盖的适宜性,对大草原-鸡栖息地的适宜性进行了分层理解。我们发现,当土地特征和植被覆盖度适合大草原鸡场时,人为来源(例如道路和输电线路)的破碎成为一个问题。因此,我们建议在堪萨斯州未来的人类发展应避免我们的模型确定为高度适合大草原-鸡群的区域,而应将开发重点放在保护程度较低的土地覆盖类型上。

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