4.6 Article

Relationship between land surface temperature and fraction of anthropized area in the Atlantic forest region, Brazil

期刊

PLOS ONE
卷 14, 期 12, 页码 -

出版社

PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0225443

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资金

  1. Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior - Brasil (CAPES) [001]
  2. Project FAPESP Climate Wise Project Climate-Smart Watershed Investments in the Montane Tropics of South America [2015/50682-6]
  3. FAPESP ECOFOR Biodiversity and Ecosystem Functioning in degraded and recovering Amazonian and Atlantic Forests [2012/51872-5]
  4. CNPq Project Oregime hidrologico das bacias dos Rios Piracicaba e Paraiba do Sul no clima futuro: avaliacao de padroes, incertezas e impactos do uso da terra [446278/2015-7]
  5. CAPES/ANA Project Pro-Recursos Hidricos Estimativa de evapotranspiracao por sensoriamento remoto para gestao de recursos hidricos no Brasil [16/2017]

向作者/读者索取更多资源

There is growing evidence that modification of tropical forests to pasture or other anthropic uses (anthropization) leads to land surface warming at local and regional scales; however, the degree of this effect is unknown given the dependence on physiographic and atmospheric conditions. We investigated the dependence of satellite land surface temperature (LST) on the fraction of anthropized area index, defined as the fraction of non-forested percentual area within 120m square boxes, sampled over a large tropical forest dominated ecosystem spatial domain in the Atlantic Forest biome, southeastern Brazil. The LST estimated at a 30 m resolution, showed a significant dependence on elevation and topographic aspect, which controlled the average thermal regime by 2 similar to 4 degrees C and 1 similar to 2 degrees C, respectively. The correction of LST by these topographic factors allowed to detect a dependence of LST on the fraction of non-forested area. Accordingly, the relationship between LST and the fraction of non-forested area showed a positive linear relationship (R-2 = 0.63), whereby each 25% increase of non-forest area resulted in increased 1 degrees C. As such, increase of the maximum temperature (similar to 4 degrees C) would occur in the case of 100% increase of non-forested area. We conclude that our study area, composed to Atlantic forest, appears to show regulatory characteristics of temperature attenuation as a local climatic ecosystem service, which may have mitigation effects on the accelerated global warming.

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