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REMOTE SENS ENVIRON:评估遥远地区植物多样性的新技术

来源:生物谷 2012-03-25 19:13

密西根州立大学系统整合与可支撑性中心的研究人员通过分析卫星长按时间顺序收集的植被信息,已开发出一种新程序来评估某一区域的植物构成。

一直以来,研究人员都是用多光谱影像(包括人知觉以外的红外光谱)与遥感数据来绘制全球植被分布图。但是,植被的季节变化可限制这些程序的有效性,数据收集必须是在特定某天或特定季节。

文章"Relationship between floristic similarity and vegetated land surface phenology: Implications for the synoptic monitoring of species diversity at broad geographic regions,"将发表在2012年6月版期刊Remote Sensing of Environment上。此文着重对两类多样性进行解释说明,α-多样性是指位置多样性,β-多样性则是从一个地方到另一个地方的多样性。β-多样性就是研究人员感兴趣的多样性。如果一个区域与另一个区域在自然事件时间顺序上相似,即抽叶、开花、结果和叶子枯萎的时间,能否说这些地域的植物种类成分相似?该研究对此问题进行了回答解析。

此项研究很可能应用于其他四季分明的地理区域。接下来的工作就是,测试这项技术是否在四季不分明的地方或是有大量物种的热带雨林是否也起作用。(生物谷bioon.com)

Relationship between floristic similarity and vegetated land surface phenology: Implicationsfor the synoptic monitoring of species diversity at broad geographic regions

Andrés Vi?a, Mao-Ning Tuanmu, Weihua Xu, Yu Li, Jiaguo Qi, Zhiyun Ouyang, Jianguo Liu

Assessing species composition and its changes through time across broad geographic regions is time consuming and a difficult endeavor. The synoptic view provided by imaging remote sensors offers an alternative. But while many studies have developed procedures for assessing biodiversity using multi- and hyper-spectral imagery, they may only provide snapshots at particular months/seasons due to the seasonal variability of spectral characteristics induced by vegetated land surface phenologies. Thus, procedures for remotely assessing biodiversity patterns may not fully represent the biodiversity on the ground if vegetated land surface phenologies are not considered. Using Mantel tests, ordinarily least square regression models and spatial autoregressive models, we assessed the relationship between floristic diversity and vegetated land surface phenologies, as captured by time series of vegetation indices derived from data acquired by the Moderate Resolution Imaging Spectroradiometer (MODIS). The relationship was calibrated with data from temperate montane forests of the Qinling Mountains region, Shaanxi Province, China. Our results show that floristically similar areas also exhibit a comparable similarity in phenological characteristics. However, phenological similarity obtained using the Visible Atmospherically Resistant Index (VARI), a spectral vegetation index found to be not only sensitive to changes in chlorophyll content but also linearly related with the relative content of foliar anthocyanins, exhibited the strongest relationship with floristic similarity. Therefore, analysis of the temporal dynamics of pigments through the use of satellite-derived metrics, such as VARI, may be used for evaluating the spatial patterns and temporal dynamics of species composition across broad geographic regions.

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