TY - JOUR
T1 - The Cooling Trend of Canopy Temperature During the Maturation, Succession, and Recovery of Ecosystems
AU - Lin, Hua
AU - Fan, Zexin
AU - Shi, Leilei
AU - Arain, Altaf
AU - McCaughey, Harry
AU - Billesbach, Dave
AU - Siqueira, Mario
AU - Bracho, Rosvel
AU - Oechel, Walter
N1 - Funding Information:
This study was funded by the Applied Fundamental Research Program of Yunnan Province (2013FB078), National Natural Science Foundation of China (NSFC, 31200307), the CAS 135 program (XTBG-F01), US NSF EF #1241881, and the MT Institute on Ecosystems. The flux and meteorological data in the present research were acquired from the AmeriFlux (supported by US Department of Energy), Fluxnet-Canada Research Network (supported by CFCAS, NSERC, BIOCAP, Environment Canada, and NRCan), and NASA’s Terrestrial Ecology program (LBA-ECO) (supported by NASA Earth Science office) as part of global FLUXNET. We thank Professor Richard Corlett and Dr. Yajun Chen for their comments on the manuscript.
Publisher Copyright:
© 2016, Springer Science+Business Media New York.
PY - 2017/3/1
Y1 - 2017/3/1
N2 - 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 (Rn) and the ratio of net radiation to global radiation (Rn/Rg) were used to measure the energy gain of the ecosystems. The maximum daily air temperature above the canopy (Tmax) and thermal response number (TRN) were used to analyze the surface temperature trends with ecosystem natural development. The general trends of Tmax, TRN, Rn, and Rn/Rg 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.
AB - 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 (Rn) and the ratio of net radiation to global radiation (Rn/Rg) were used to measure the energy gain of the ecosystems. The maximum daily air temperature above the canopy (Tmax) and thermal response number (TRN) were used to analyze the surface temperature trends with ecosystem natural development. The general trends of Tmax, TRN, Rn, and Rn/Rg 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.
KW - ecosystem
KW - forest degradation
KW - succession
KW - surface temperature
KW - temperature stability
KW - terrestrial vegetation
KW - thermal response
UR - http://www.scopus.com/inward/record.url?scp=84988729260&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84988729260&partnerID=8YFLogxK
U2 - 10.1007/s10021-016-0033-8
DO - 10.1007/s10021-016-0033-8
M3 - Article
AN - SCOPUS:84988729260
SN - 1432-9840
VL - 20
SP - 406
EP - 415
JO - Ecosystems
JF - Ecosystems
IS - 2
ER -