Potential Whooping Crane Carrying Capacity (2020)
收藏US Fish and Wildlife Service Open Data2026-03-28 收录
下载链接：
https://gis-fws.opendata.arcgis.com/maps/fws::potential-whooping-crane-carrying-capacity-2020
下载链接
链接失效反馈官方服务：
资源简介：
<div><span style='font-family:NexusSerif, Georgia, "Times New Roman", Times, STIXGeneral, "Cambria Math", "Lucida Sans Unicode", "Microsoft Sans Serif", "Segoe UI Symbol", "Arial Unicode MS", serif; color:rgb(46, 46, 46); font-size:18px;'>The only self-sustaining population of endangered whooping cranes (</span><em>Grus americana</em><span style='font-family:NexusSerif, Georgia, "Times New Roman", Times, STIXGeneral, "Cambria Math", "Lucida Sans Unicode", "Microsoft Sans Serif", "Segoe UI Symbol", "Arial Unicode MS", serif; color:rgb(46, 46, 46); font-size:18px;'>) requires a network of conservation lands for wintering along the Texas Gulf Coast (USA), so that this increasing population can reach downlisting under the Endangered Species Act (1000 birds). We identify locations providing the highest quality and most sustainable wintering habitat for these whooping cranes through 2100 by predicting future habitats under a sea level rise projection of 1.0m by 2100, while incorporating a scenario of no future urban development. This method combines predictions of future habitat quality with current whooping crane density estimates to calculate the potential carrying capacity of whooping cranes for each 10 m pixel within this 17,725 km</span><span style='font-family:NexusSerif, Georgia, "Times New Roman", Times, STIXGeneral, "Cambria Math", "Lucida Sans Unicode", "Microsoft Sans Serif", "Segoe UI Symbol", "Arial Unicode MS", serif; box-sizing:border-box; margin:0px; padding:0px; font-size:13.5px; color:rgb(46, 46, 46);'>2</span><span style='font-family:NexusSerif, Georgia, "Times New Roman", Times, STIXGeneral, "Cambria Math", "Lucida Sans Unicode", "Microsoft Sans Serif", "Segoe UI Symbol", "Arial Unicode MS", serif; color:rgb(46, 46, 46); font-size:18px;'> area. We found whooping cranes used locations with salt marsh at twice the rate of places lacking marsh. Areas > 15 km from development or < 2 km from estuarine water had increased crane use. Predicted area of salt marsh habitat oscillated across time given different rates of sea level rise. </span><span style='font-family:NexusSerif, Georgia, "Times New Roman", Times, STIXGeneral, "Cambria Math", "Lucida Sans Unicode", "Microsoft Sans Serif", "Segoe UI Symbol", "Arial Unicode MS", serif; color:rgb(46, 46, 46); font-size:18px;'>By anticipating climate-induced habitat loss with species population expansion we provide the requisite spatial information for conservation planners to build a sustainable conservation estate for downlisting whooping cranes. By coupling wildlife biology with conservation planning and on-the-ground implementation, our work exemplifies a proactive approach to recover endangered species.</span><div style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'><br /></div><div style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'>Whooping crane potential carrying capacity was developed by combining density estimates from an independent data set with our model of current crane habitat suitability. This model incorporated projected land use effects such as future urban or suburban development, agricultural conversion or intensification, and, loss or gain of habitats due to sea level rise and other climate changes using data from Sea Level Affecting Marshes Model (SLAMM) and remote sensing elevation data and information on land cover and land use to model future conditions of priority habitats under several sea-level rise scenarios. <span style='font-family:inherit;'>To learn more about this dataset and how it was generated, please refer to</span> <a href='https://doi.org/10.1016/j.jnc.2020.125892' style='color:rgb(0, 121, 193); text-decoration-line:none;' target='_blank' rel='nofollow ugc noopener noreferrer'>Metzger et al (2020)</a><span style='font-family:inherit;'>. This model output data are also available in </span><a href='https://ecos.fws.gov/ServCat/Reference/Profile/117155' style='color:rgb(0, 121, 193); text-decoration-line:none; font-family:inherit;' target='_blank' rel='nofollow ugc noopener noreferrer'>ServCat</a><span style='font-family:inherit;'>. This is a tiled feature service of current potential carrying capacity of Whooping Cranes, and utilized in the </span><a href='https://fws.maps.arcgis.com/home/item.html?id=d4e58ce2a39d4bf6bc16c772f7ebbc0a' style='color:rgb(0, 121, 193); text-decoration-line:none; font-family:inherit;' target='_blank' rel='nofollow ugc noopener noreferrer'>Texas Coastal Bend Landscape Conservation Design data viewer</a><span style='font-family:inherit;'>. For more information about the Texas Coastal Bend Landscape Conservation Design, please see the </span><a href='https://ecos.fws.gov/ServCat/Reference/Profile/140441' style='color:rgb(0, 121, 193); text-decoration-line:none; font-family:inherit;' target='_blank' rel='nofollow ugc noopener noreferrer'>project page in ServCat</a><span style='font-family:inherit;'>.</span></div></div>
全球现存唯一的自给自足的濒危美洲鹤（Grus americana）种群，其生存依赖于美国得克萨斯州墨西哥湾沿岸的越冬保护地网络，唯有如此，该持续增长的种群才能达到《濒危物种法》（Endangered Species Act）规定的种群降级标准（种群规模达1000只）。本研究通过模拟2100年海平面上升1.0米情景下的未来栖息地分布，并纳入未来无城市开发的场景，筛选出了截至2100年可为该种群提供最高质量、最可持续越冬栖息地的区域。本方法将未来栖息地质量预测结果与当前美洲鹤种群密度估算结果相结合，针对这片17725平方千米的研究区域内每一个10米分辨率栅格单元，计算美洲鹤的潜在承载容量。研究发现，美洲鹤对盐沼生境的利用频率是无盐沼区域的两倍；距离开发区域大于15千米，或距河口水体小于2千米的区域，其被美洲鹤利用的概率显著提升。在不同海平面上升速率情景下，预测的盐沼生境面积随时间呈现周期性波动。通过预判气候变化引发的栖息地流失与种群扩张趋势，本研究为保护规划者构建可持续的保护地体系以推动美洲鹤种群降级提供了必要的空间支撑。本研究将野生生物生态学与保护规划、实地落地实施相结合，为濒危物种恢复提供了一种前瞻性的实践范式。
美洲鹤潜在承载容量的测算，结合了独立数据集得到的种群密度估算结果与本团队构建的当前鹤类栖息地适宜性模型。该模型借助海平面影响沼泽模型（Sea Level Affecting Marshes Model, SLAMM）、遥感高程数据，结合土地覆盖与土地利用信息，模拟了多种海平面上升情景下优先栖息地的未来状态，其中纳入了未来城市/郊区开发、农业转化或集约化、以及海平面上升与其他气候变化引发的生境损益等土地利用影响因素。如需了解本数据集的详细信息与生成方法，请参阅<a href="https://doi.org/10.1016/j.jnc.2020.125892" target="_blank" rel="nofollow ugc noopener noreferrer">Metzger等人（2020）</a>的研究成果。本模型的输出数据亦可在<a href="https://ecos.fws.gov/ServCat/Reference/Profile/117155" target="_blank" rel="nofollow ugc noopener noreferrer">ServCat</a>平台获取。本数据集为美洲鹤潜在承载容量的切片要素服务，已应用于<a href="https://fws.maps.arcgis.com/home/item.html?id=d4e58ce2a39d4bf6bc16c772f7ebbc0a" target="_blank" rel="nofollow ugc noopener noreferrer">得克萨斯州海岸湾景观保护设计数据查看器</a>。如需了解更多关于《得克萨斯州海岸湾景观保护设计》项目的信息，请参阅<a href="https://ecos.fws.gov/ServCat/Reference/Profile/140441" target="_blank" rel="nofollow ugc noopener noreferrer">ServCat平台上的项目页面</a>。
提供机构：
U.S. Fish & Wildlife Service
