Using stochastic gradient boosting to infer stopover habitat selection and distribution of Hooded Cranes Grus monacha during spring migration in Lindian, Northeast China.
Using stochastic gradient boosting to infer stopover habitat selection and distribution of Hooded Cranes Grus monacha during spring migration in Lindian, Northeast China.
复制标题
DOI：
10.1371/journal.pone.0089913
复制
发表时间：
2014
期刊：
影响因子：
3.7
通讯作者：
Guo Y
中科院分区：
文献类型：
--
作者：
Cai T;Huettmann F;Guo Y
起重机（Grus monacha）是全球脆弱物种，栖息地丧失是其衰落的主要原因。迄今为止，鲜为人知的是，具体的栖息地需求，特别是中途停留栖息地的选择，帽顶起重机。在这项研究中，我们使用随机梯度助推（TreeNet）开发三个特定的栖息地选择模型，白天休息，觅食地点的选择。此外，我们使用了一个地理信息系统（GIS）与TreeNet相结合，开发了一个物种分布模型。我们还生成了一个数字地图的相对发生指数（ROI），这个物种在白天休息的网站在研究区域。研究表明，水深、距村落距离、落叶覆盖度、开阔水域面积和植物密度是影响栖息地选择的主要因子。白天休息地点的选择，到湿地的距离，到农田的距离，到道路的距离是主要的预测因子。在觅食地选择方面，道路距离、食物量、植被覆盖度、村庄距离、植物密度、湿地距离、河流距离是影响因子，道路距离和食物量是最重要的预测因子。预测图显示，在我们的研究区域有两个一致的多年白天休息的网站。我们在2013年使用系统地面实况调查的实地工作证实了这一预测是准确的。因此，我们建议林甸对候鸟有重要的作用，并应在当地调整栽培措施。此外，公众教育计划，以促进人与鹤和谐共处的概念，可以帮助成功地保护这个物种在长期内，并最终导致其被世界自然保护联盟除名。
The Hooded Crane (Grus monacha) is a globally vulnerable species, and habitat loss is the primary cause of its decline. To date, little is known regarding the specific habitat needs, and stopover habitat selection in particular, of the Hooded Crane. In this study we used stochastic gradient boosting (TreeNet) to develop three specific habitat selection models for roosting, daytime resting, and feeding site selection. In addition, we used a geographic information system (GIS) combined with TreeNet to develop a species distribution model. We also generated a digital map of the relative occurrence index (ROI) of this species at daytime resting sites in the study area. Our study indicated that the water depth, distance to village, coverage of deciduous leaves, open water area, and density of plants were the major predictors of roosting site selection. For daytime resting site selection, the distance to wetland, distance to farmland, and distance to road were the primary predictors. For feeding site selection, the distance to road, quantity of food, plant coverage, distance to village, plant density, distance to wetland, and distance to river were contributing factors, and the distance to road and quantity of food were the most important predictors. The predictive map showed that there were two consistent multi-year daytime resting sites in our study area. Our field work in 2013 using systematic ground-truthing confirmed that this prediction was accurate. Based on this study, we suggest that Lindian plays an important role for migratory birds and that cultivation practices should be adjusted locally. Furthermore, public education programs to promote the concept of the harmonious coexistence of humans and cranes can help successfully protect this species in the long term and eventually lead to its delisting by the IUCN.
登录
查看更多内容
影响因子：
3.9
作者：
Cumming, GS
通讯作者：
Cumming, GS
影响因子：
2
作者：
Higuchi, Hiroyoshi;Pierre, Johanna P.
通讯作者：
Pierre, Johanna P.
影响因子：
4.8
作者：
GILLIAM, JF;FRASER, DF
通讯作者：
FRASER, DF
影响因子：
2.3
作者：
Blejwas, Karen M.;Williams, Christen L.;Jaeger, Michael M.
通讯作者：
Jaeger, Michael M.
影响因子：
1.8
作者：
Friedman, JH
通讯作者：
Friedman, JH