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A new satellite-based indicator to identify spatiotemporal foraging areas for herbivorous waterfowl

机译:一种新的卫星基于卫星指标,用于识别食草水禽的时空觅食区域

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摘要

The distribution of food resources is a key factor in habitat selection. Herbivorous waterfowl prefer early-stage growing plants (from the onset of plant growth to the peak in nutrient biomass) as these offer higher energy intake rates. This plant development stage is not fully captured by commonly used satellite-derived vegetation indicators, which focus on plant biomass (e.g., Enhanced Vegetation Index, EVI) or active plant growth (e.g., the differential EVI between current and a previous date, diffEVI). To improve mapping suitable grazing areas for herbivorous waterfowl, we propose a new satellite-based plant growth indicator of early-stage plant growth (ESPG). We hypothesize that herbivorous waterfowl prefer plants at an early development stage during the growing season and select plants with a relatively later end of ESPG during the non-growing season. We use satellite tracking data of 20 greater white-fronted geese (Anser albifrons) wintering in the Yangtze River flood-plain to validate our predictions. We build generalized linear models for goose distributions during the growing and non-growing seasons and compare the performance of ESPG to commonly used plant growth indictors (EVI and diffEVI). During the growing season, ESPG can explain 53% of variation in the goose distribution, outperforming EVI (27%) and diffEVI (34%). During the non-growing season, only the end of ESPG significantly influences goose distribution, explaining 25% of the variance (ESPG: AUC= 0.78; EVI: AUC= 0.58; diffEVI: AUC= 0.58). The newly-developed plant growth indicator ESPG could be used to improve models of herbivorous waterfowl distributions and hence support efforts toward waterfowl conservation and wetland management.
机译:食物资源的分布是栖息地选择的关键因素。食草水禽喜欢早期生长植物(从植物生长的发作到营养生物质的峰值),因为这些提供了更高的能量进气率。这种植物开发阶段常用的卫星源源植被指标没有完全捕获,这些指标专注于植物生物量(例如,增强植被指数,EVI)或主动植物生长(例如,当前和前一个日期之间的差分EVI) 。为了改善用于食草水禽的适当放牧区域,我们提出了一种新的卫星植物生长指标(ESPG)。我们假设食草水禽在生长季节期间在早期发育阶段更喜欢植物,并在非生长季节中选择植物的植物相对较晚的ESPG。我们使用卫星跟踪数据在长江洪水平原中越冬的20大白头鹅(Anser Albifrons)越冬以验证我们的预测。我们在不断增长和不生长季节期间为鹅发布构建广义线性模型,并比较ESPG对常用植物生长标识(EVI和Diffevi)的性能。在不断增长的季节期间,ESPG可以解释鹅分布的53%的变化,表现优于EVI(27%)和Diffevi(34%)。在非生长季节期间,只有ESPG的结束显着影响鹅分布,解释了25%的差异(ESPG:AUC = 0.78; EVI:AUC = 0.58; Diffevi:AUC = 0.58)。新开发的植物生长指标ESPG可用于改善食草水禽分布的模型,从而支持水禽养护和湿地管理的努力。

著录项

  • 来源
    《Ecological indicators》 |2019年第4期|83-90|共8页
  • 作者单位

    Tsinghua Univ Minist Educ Key Lab Earth Syst Modeling Beijing 100084 Peoples R China|Tsinghua Univ Dept Earth Syst Sci Beijing 100084 Peoples R China;

    Sun Yat Sen Univ Guangdong Prov Key Lab Urbanizat & Geo Simulat Guangzhou 510275 Guangdong Peoples R China;

    Tsinghua Univ Minist Educ Key Lab Earth Syst Modeling Beijing 100084 Peoples R China|Tsinghua Univ Dept Earth Syst Sci Beijing 100084 Peoples R China;

    Tsinghua Univ Minist Educ Key Lab Earth Syst Modeling Beijing 100084 Peoples R China|Tsinghua Univ Dept Earth Syst Sci Beijing 100084 Peoples R China;

    Tsinghua Univ Minist Educ Key Lab Earth Syst Modeling Beijing 100084 Peoples R China|Tsinghua Univ Dept Earth Syst Sci Beijing 100084 Peoples R China|Wageningen Univ Resource Ecol Grp Droevendaalsesteeg 3a NL-6708 PB Wageningen Netherlands;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Geese; Distribution; Yangtze River floodplain; MODIS; Nutrient biomass; Plant phenology;

    机译:鹅;分布;长江洪泛区;MODIS;营养生物质;植物候选;

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