Skip to Main Content (Press Enter)

Logo UNISS
  • ×
  • Home
  • Degrees
  • Courses
  • Jobs
  • People
  • Outputs
  • Organizations
  • Third Mission
  • Expertise & Skills

Logo UNISS

|

UNIFIND

uniss.it
  • ×
  • Home
  • Degrees
  • Courses
  • Jobs
  • People
  • Outputs
  • Organizations
  • Third Mission
  • Expertise & Skills
  1. Outputs

Thermal optimality of net ecosystem exchange of carbon dioxide and underlying mechanisms

Academic Article
Publication Date:
2012
Short description:
Thermal optimality of net ecosystem exchange of carbon dioxide and underlying mechanisms / S., N., Y., L., S., F., W., Y., D., S., B. E., L., C., A., M. A., A., A., A., M., A., A., B., J., B., C., B., T. A., B., N., B., A., C., J., C., K. J., D., E., D., A. R., D., et al.. - In: NEW PHYTOLOGIST. - ISSN 0028-646X. - 194:3(2012), pp. 775-783. [10.1111/j.1469-8137.2012.04095.x]
abstract:
• It is well established that individual organisms can acclimate and adapt to temperature to
optimize their functioning. However, thermal optimization of ecosystems, as an assemblage
of organisms, has not been examined at broad spatial and temporal scales.
• Here, we compiled data from 169 globally distributed sites of eddy covariance and quanti-
fied the temperature response functions of net ecosystem exchange (NEE), an ecosystem-level property, to determine whether NEE shows thermal optimality and to explore
the underlying mechanisms.
• We found that the temperature response of NEE followed a peak curve, with the optimum
temperature (corresponding to the maximum magnitude of NEE) being positively correlated
with annual mean temperature over years and across sites. Shifts of the optimum temperature
of NEE were mostly a result of temperature acclimation of gross primary productivity (upward
shift of optimum temperature) rather than changes in the temperature sensitivity of ecosystem respiration.
• Ecosystem-level thermal optimality is a newly revealed ecosystem property, presumably
reflecting associated evolutionary adaptation of organisms within ecosystems, and has the
potential to significantly regulate ecosystem–climate change feedbacks. The thermal optimality of NEE has implications for understanding fundamental properties of ecosystems in
changing environments and benchmarking global models.
Iris type:
1.1 Articolo in rivista
Keywords:
climate change, optimum temperature, temperature acclimation, temperature adaptation, thermal optimality
List of contributors:
S., Niu; Y., Luo; S., Fei; W., Yuan; D., Schimel; B. E., Law; C., Ammann; M. A., Arain; A., Arneth; M., Aubinet; A., Barr; J., Beringer; C., Bernhofer; T. A., Black; N., Buchmann; A., Cescatti; J., Chen; K. J., Davis; E., Dellwik; A. R., Desai; S., Etzold; L., Francois; D., Gianelle; B., Gielen; A., Goldstein; M., Groenendijk; L., Gu; N., Hanan; C., Helfter; T., Hirano; D. Y., Hollinger; M. B., Jones; G., Kiely; T. E., Kolb; W. L., Kutsch; P., Lafleur; D. M., Lawrence; L., Li; A., Lindroth; M., Litvak; D., Loustau; M., Lund; M., Marek; T. A., Martin; G., Matteucci; M., Migliavacca; L., Montagnani; E., Moors; J. W., Munger; A., Noormets; W., Oechel; J., Olejnik; K. T., Paw U; K., Pilegaard; S., Rambal; A., Raschi; R. L., Scott; G., Seufert; Spano, Donatella Emma Ignazia; P., Stoy; M. A., Sutton; A., Varlagin; T., Vesala; E., Weng; G., Wohlfahrt; B., Yang; Z., Zhang; X., Zhou
Authors of the University:
SPANO Donatella Emma Ignazia
Handle:
https://iris.uniss.it/handle/11388/46728
Published in:
NEW PHYTOLOGIST
Journal
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.9.2.0