Monitoring wetland plant diversity from space: Progress and perspective
文献类型：期刊论文
| 作者 | Sun, Weiwei6; Chen, Daosheng5; Li, Zhouyuan4; Li, Saiqiang6; Cheng, Siying6; Niu, Xiaomeng6; Cai, Yimeng1; Shi, Zhenghua5; Wu, Chaoyang2,3; Yang, Gang6 |
| 刊名 | INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
 |
| 出版日期 | 2024-06-01 |
| 卷号 | 130页码:103943 |
| 关键词 | Spectral diversity Near infrared short wave Spectral variation hypothesis Hyperspectral and multispectral images Taxonomic diversity Diversity maintenance |
| DOI | 10.1016/j.jag.2024.103943 |
| 产权排序 | 4 |
| 文献子类 | Article |
| 英文摘要 | Wetlands are the one of ecosystems with the highest biodiversity, ecological service functions and carbon storage. Affected by the synergistic impacts of human activities and climate change, the global wetland area has decreased by 35 % since 1970, with far-reaching implications on biodiversity loss. Compared with manual ground investigations, remote sensing is considered to be the most promising method for monitoring wetland biodiversity change in order to formulate the effective conservation strategies due to its characteristics of non-contact detection, low cost and timely. Here we used bibliometric method to analyze the study sites, methods, conclusions and shortcomings of published papers globally over the past 60 years for wetland biodiversity monitoring. We show that global distribution of wetlands monitoring was uneven, mostly concentrated in the United States, China and Northern Europe. Current researches mainly focused on coastal, marsh and estuarine wetlands, while other wetland (e.g., lake wetlands, riparian wetlands, artificial peatlands and high-altitude and high-latitude peatlands) monitoring were still lacking. Overall, 20 remote sensing platforms and sensors were used, and the near infrared shortwave length (780 similar to 1100 nm) was the most reliable and sensitive spectral region. Among various estimation methods, the accuracy of nonlinear, multi-independent variables, and hyperspectral remote sensing models were generally higher than those of linear, single-factor and multispectral models, respectively. The estimation accuracy was affected by both ground sampling time and plant phenology. Most studies focused on the taxonomic and within-habitat diversity (alpha-diversity) of single-layer communities (grassland), while few paid attentions to the functional and phylogenetic diversity of inter-habitat (beta-diversity) and region (gamma-diversity) in the multi-layer communities (forest and shrubland), and biodiversity-ecosystem functioning (BEF) relationships. We suggest that prospective studies should strengthen wetland plant diversity monitoring globally. The multi-dimensional spectral data are mined and fused to provide new monitoring models with high accuracy. The monitoring should focus on the scale effects (alpha, beta and gamma), BEF relationships, and the plant diversity change with environmental gradients. |
| WOS关键词 | SPECIES-DIVERSITY ; SPECTRAL DIVERSITY ; ECOSYSTEM SERVICES ; HYPERSPECTRAL DATA ; BETA-DIVERSITY ; CLIMATE-CHANGE ; BIODIVERSITY ; VEGETATION ; RICHNESS ; RESTORATION |
| WOS研究方向 | Remote Sensing |
| WOS记录号 | WOS:001249067700001 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/205321]  |
| 专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
| 通讯作者 | Wu, Chaoyang; Yang, Xiaodong |
| 作者单位 | 1.Beijing Normal Univ, Fac Geog Sci, Sch Nat Resources, Beijing 100875, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 4.Beijing Forestry Univ, Sch Grassland Sci, Beijing 100083, Peoples R China 5.Xinjiang Univ, Coll Ecol & Environm, Urumqi 830017, Peoples R China 6.Ningbo Univ, Dept Geog & Spatial Informat Technol, Ningbo 315211, Peoples R China |
| 推荐引用方式 GB/T 7714 | Sun, Weiwei,Chen, Daosheng,Li, Zhouyuan,et al. Monitoring wetland plant diversity from space: Progress and perspective[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2024,130:103943. |
| APA | Sun, Weiwei.,Chen, Daosheng.,Li, Zhouyuan.,Li, Saiqiang.,Cheng, Siying.,...&Yang, Xiaodong.(2024).Monitoring wetland plant diversity from space: Progress and perspective.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,130,103943. |
| MLA | Sun, Weiwei,et al."Monitoring wetland plant diversity from space: Progress and perspective".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 130(2024):103943. |
入库方式： OAI收割
来源：地理科学与资源研究所
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