Remotely piloted aircraft systems remote sensing can effectively retrieve ecosystem traits of alpine grasslands on the Tibetan Plateau at a landscape scale
文献类型：期刊论文
| 作者 | Tang, Ze1,2; Zhang, Yangjian1,2,3; Cong, Nan1; Wang, Li4; Zhu, Yixuan1,2; Li, Zhaolei5; Zhao, Guang1 |
| 刊名 | REMOTE SENSING IN ECOLOGY AND CONSERVATION
 |
| 出版日期 | 2021-02-02 |
| 页码 | 15 |
| 关键词 | Alpine grassland ecosystem trait landscape scale RPAS Tibetan Plateau visible spectrum |
| DOI | 10.1002/rse2.196 |
| 通讯作者 | Zhang, Yangjian(zhangyj@igsnrr.ac.cn) |
| 英文摘要 | Ecosystem trait is a standardized description of biological features of a community, and it bridges individual plants and ecosystem. Conventionally most ecosystem trait data are collected from field survey and the generated data is hard to meet the requirements as set in the concept of ecosystem trait. To a great extent, remotely piloted aircraft systems (RPAS) remote sensing, which is capable of retrieving ecosystem traits across multiple scales, can overcome constraints in field plot survey. In this study, we selected alpine grassland ecosystem on the Tibetan Plateau (TP), which is under-studied due to scarcity of field monitoring data, as the research target. A new data framework was proposed by integrating field plot and RPAS remote sensing data to map spatial patterns of ecosystem traits for the alpine grasslands. Across four landscapes on the TP, ecosystem traits of vegetation coverage (CVC), species number (CSN), individual number (CIN), above ground biomass (AGB), organic carbon content (OC%) and total nitrogen content (TN%) were retrieved. We also calculated Shannon's Diversity Index and Shannon's Evenness Index for each plot. The results showed that RPAS-based high spatial resolution RGB image is capable of predicting both physical and chemical ecosystem traits for alpine grasslands on the TP. Remote sensing on physical traits are overall more efficient than on chemical traits, with the highest R-2 of 0.86 and 0.48 for physical trait and chemical one, respectively. The bands of Red and Green contributed more to the prediction model than band of Blue did, and the spectral mean value played a greater role than the spectral standard deviation. Based on the retrieved results, a set of spatial patterns on ecosystem traits can be revealed. This study represents an advance on ecosystem trait study and can significantly improve our understanding on ecosystem functions of the alpine ecosystem on the TP. |
| WOS研究方向 | Environmental Sciences & Ecology ; Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:000613878900001 |
| 出版者 | WILEY |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/136170]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhang, Yangjian |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100190, Peoples R China 3.Chinese Acad Sci, Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China 4.Peking Univ, Shenzhen Grad Sch, Shenzhen 518055, Peoples R China 5.Shandong Agr Univ, Coll Resources & Environm, Tai An 271018, Shandong, Peoples R China |
| 推荐引用方式 GB/T 7714 | Tang, Ze,Zhang, Yangjian,Cong, Nan,et al. Remotely piloted aircraft systems remote sensing can effectively retrieve ecosystem traits of alpine grasslands on the Tibetan Plateau at a landscape scale[J]. REMOTE SENSING IN ECOLOGY AND CONSERVATION,2021:15. |
| APA | Tang, Ze.,Zhang, Yangjian.,Cong, Nan.,Wang, Li.,Zhu, Yixuan.,...&Zhao, Guang.(2021).Remotely piloted aircraft systems remote sensing can effectively retrieve ecosystem traits of alpine grasslands on the Tibetan Plateau at a landscape scale.REMOTE SENSING IN ECOLOGY AND CONSERVATION,15. |
| MLA | Tang, Ze,et al."Remotely piloted aircraft systems remote sensing can effectively retrieve ecosystem traits of alpine grasslands on the Tibetan Plateau at a landscape scale".REMOTE SENSING IN ECOLOGY AND CONSERVATION (2021):15. |
入库方式： OAI收割
来源：地理科学与资源研究所
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