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Inland water bodies in China: Features discovered in the long-term satellite data.
Feng, Shuailong; Liu, Shuguang; Huang, Zhihong; Jing, Lei; Zhao, Meifang; Peng, Xi; Yan, Wende; Wu, Yiping; Lv, Yihe; Smith, Andrew R; McDonald, Morag A; Patil, Sopan D; Sarkissian, Arbi J; Shi, Zhihua; Xia, Jun; Ogbodo, U S.
Afiliação
  • Feng S; National Engineering Laboratory for Applied Technology of Forestry & Ecology in Southern China, Central South University of Forestry and Technology, 410004 Changsha, China.
  • Liu S; College of Biological Science and Technology, Central South University of Forestry and Technology, 410004 Changsha, China.
  • Huang Z; National Engineering Laboratory for Applied Technology of Forestry & Ecology in Southern China, Central South University of Forestry and Technology, 410004 Changsha, China; shuguang.liu@yahoo.com.
  • Jing L; College of Biological Science and Technology, Central South University of Forestry and Technology, 410004 Changsha, China.
  • Zhao M; National Engineering Laboratory for Applied Technology of Forestry & Ecology in Southern China, Central South University of Forestry and Technology, 410004 Changsha, China.
  • Peng X; College of Biological Science and Technology, Central South University of Forestry and Technology, 410004 Changsha, China.
  • Yan W; National Engineering Laboratory for Applied Technology of Forestry & Ecology in Southern China, Central South University of Forestry and Technology, 410004 Changsha, China.
  • Wu Y; College of Biological Science and Technology, Central South University of Forestry and Technology, 410004 Changsha, China.
  • Lv Y; National Engineering Laboratory for Applied Technology of Forestry & Ecology in Southern China, Central South University of Forestry and Technology, 410004 Changsha, China.
  • Smith AR; College of Biological Science and Technology, Central South University of Forestry and Technology, 410004 Changsha, China.
  • McDonald MA; National Engineering Laboratory for Applied Technology of Forestry & Ecology in Southern China, Central South University of Forestry and Technology, 410004 Changsha, China.
  • Patil SD; College of Biological Science and Technology, Central South University of Forestry and Technology, 410004 Changsha, China.
  • Sarkissian AJ; National Engineering Laboratory for Applied Technology of Forestry & Ecology in Southern China, Central South University of Forestry and Technology, 410004 Changsha, China.
  • Shi Z; College of Biological Science and Technology, Central South University of Forestry and Technology, 410004 Changsha, China.
  • Xia J; Department of Earth and Environmental Science, School of Human Settlements and Civil Engineering, Xi'an Jiaotong University, 710049 Xi'an, China.
  • Ogbodo US; State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, 100085 Beijing, China.
Proc Natl Acad Sci U S A ; 116(51): 25491-25496, 2019 12 17.
Article em En | MEDLINE | ID: mdl-31792172
ABSTRACT
Water bodies (WBs), such as lakes, ponds, and impoundments, provide essential ecosystem services for human society, yet their characteristics and changes over large areas remain elusive. Here we used unprecedented data layers derived from all Landsat images available between 1984 and 2015 to understand the overall characteristics and changes of WBs between 2 epochs (i.e., 1984 to 1999 and 2000 to 2015) in China. Results show that the abundance estimate of WBs greater than 1 km2 and the total WB surface area were 0.3 to 1.5 times and 0.2 to 0.5 times more than the previous estimates, respectively. The size-abundance and shoreline-area relationships of WBs in China conformed to the classic power scaling law, in contradiction to most previous studies. WB changes with various occurrence probabilities show widespread coexistence of disappearance of existent and emergence of new WBs across China driven primarily by human activities and climate change. Our results highlight the importance of using appropriate long-term satellite data to reveal the true properties and dynamics of WBs over large areas, which is essential for developing scaling theories and understanding the relative impacts of human activities and climate change on water resources in the world.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article