Your browser doesn't support javascript.
loading
Imaging canopy temperature: shedding (thermal) light on ecosystem processes.
Still, Christopher J; Rastogi, Bharat; Page, Gerald F M; Griffith, Dan M; Sibley, Adam; Schulze, Mark; Hawkins, Linnia; Pau, Stephanie; Detto, Matteo; Helliker, Brent R.
Afiliação
  • Still CJ; Forest Ecosystems and Society, Oregon State University, Corvallis, OR, 97331, USA.
  • Rastogi B; Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO, 80309, USA.
  • Page GFM; Global Monitoring Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO, 80305, USA.
  • Griffith DM; Forest Ecosystems and Society, Oregon State University, Corvallis, OR, 97331, USA.
  • Sibley A; Forest Ecosystems and Society, Oregon State University, Corvallis, OR, 97331, USA.
  • Schulze M; Forest Ecosystems and Society, Oregon State University, Corvallis, OR, 97331, USA.
  • Hawkins L; H.J. Andrews Experimental Forest, Oregon State University, Blue River, OR, 97413, USA.
  • Pau S; Forest Ecosystems and Society, Oregon State University, Corvallis, OR, 97331, USA.
  • Detto M; Department of Geography, Florida State University, Tallahassee, FL, 32304, USA.
  • Helliker BR; Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, 08540, USA.
New Phytol ; 230(5): 1746-1753, 2021 06.
Article em En | MEDLINE | ID: mdl-33666251
ABSTRACT
Canopy temperature Tcan is a key driver of plant function that emerges as a result of interacting biotic and abiotic processes and properties. However, understanding controls on Tcan and forecasting canopy responses to weather extremes and climate change are difficult due to sparse measurements of Tcan at appropriate spatial and temporal scales. Burgeoning observations of Tcan from thermal cameras enable evaluation of energy budget theory and better understanding of how environmental controls, leaf traits and canopy structure influence temperature patterns. The canopy scale is relevant for connecting to remote sensing and testing biosphere model predictions. We anticipate that future breakthroughs in understanding of ecosystem responses to climate change will result from multiscale observations of Tcan across a range of ecosystems.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tempo (Meteorologia) / Ecossistema Tipo de estudo: Prognostic_studies Idioma: En Revista: New Phytol Assunto da revista: BOTANICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tempo (Meteorologia) / Ecossistema Tipo de estudo: Prognostic_studies Idioma: En Revista: New Phytol Assunto da revista: BOTANICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos