首页 | 本学科首页   官方微博 | 高级检索  
   检索      


The Cooling Trend of Canopy Temperature During the Maturation,Succession, and Recovery of Ecosystems
Authors:Hua Lin  Zexin Fan  Leilei Shi  Altaf Arain  Harry McCaughey  Dave Billesbach  Mario Siqueira  Rosvel Bracho  Walter Oechel
Institution:1.Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden,Chinese Academy of Sciences,Mengla,China;2.School of Geography and Earth Sciences, and McMaster Centre for Climate Change,McMaster University,Hamilton,Canada;3.Department of Geography,Queen’s University,Kingston,Canada;4.Department of Biological Systems Engineering,University of Nebraska,Lincoln,USA;5.Department of Mechanical Engineering,University of Brasilia,Brasilia,Brazil;6.School of Forest Resources and Conservation,University of Florida,Gainesville,USA;7.Global Change Research Group, Department of Biology,San Diego State University,San Diego,USA
Abstract:The maximum exergy dissipation theory provides a theoretical basis for using surface temperature to measure the status and development of ecosystems, which could provide an early warning of rapid evaluation of ecosystem degradation. In the present study, we used the radiation balance of ecosystems to demonstrate this hypothesis theoretically. Further, we used empirical data to verify whether ecosystems gain more radiation, while lowering their surface temperatures, as they develop naturally. We analyzed 12 chronosequences from the FLUXNET database using meteorological data and heat fluxes. We included age, disturbance, and successional chronosequences across six climate zones. Net radiation (R n) and the ratio of net radiation to global radiation (R n/R g) were used to measure the energy gain of the ecosystems. The maximum daily air temperature above the canopy (T max) and thermal response number (TRN) were used to analyze the surface temperature trends with ecosystem natural development. The general trends of T max, TRN, R n, and R n /R g demonstrated that ecosystems become cooler and more stable, yet gain more energy, throughout their natural development. Among the four indicators, TRN showed the most consistent trends and highest sensitivity to ecosystem growth, succession, and recovery. Moreover, TRN was not significantly influenced by precipitation or wind. We propose that TRN can be used to rapidly evaluate or warn of ecosystem disturbance, senescence, and degradation without prior knowledge of species composition, nutrient status, and complex ecosystem processes.
Keywords:
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号