Using digital repeat photography and eddy covariance data to model grassland phenology and photosynthetic CO2 uptake-Reference-Cited by-同舟云学术

Using digital repeat photography and eddy covariance data to model grassland phenology and photosynthetic CO2 uptake

Published:2011-10 Issue:10 Volume:151 Page:1325-1337
ISSN:0168-1923
Container-title:Agricultural and Forest Meteorology
language:en
Short-container-title:Agricultural and Forest Meteorology

Author:

Migliavacca Mirco,Galvagno Marta,Cremonese Edoardo,Rossini Micol,Meroni Michele,Sonnentag Oliver,Cogliati Sergio,Manca Giovanni,Diotri Fabrizio,Busetto Lorenzo,Cescatti Alessandro,Colombo Roberto,Fava Francesco,Morra di Cella Umberto,Pari Emiliano,Siniscalco Consolata,Richardson Andrew D.

Publisher

Elsevier BV

Subject

Atmospheric Science,Agronomy and Crop Science,Global and Planetary Change,Forestry

Reference84 articles.

1. Evaluating the performance of land surface models;Abramowitz;Journal of Climate,2008

2. Quantitative phenological observations of a mixed beech forest in northern Switzerland with digital photography;Ahrends;Journal of Geophysical Research: Biogeosciences,2008

3. Tree phenology and carbon dioxide fluxes: use of digital photography at for process-based interpretation the ecosystem scale;Ahrends;Climate Research,2009

4. Information theory and an extension of the maximum likelihood principle;Akaike,1973

5. A parameterization of leaf phenology for the terrestrial ecosystem component of climate models;Arora;Global Change Biology,2005

Cited by 195 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Field validation of NDVI to identify crop phenological signatures;Precision Agriculture;2024-07-12

2. Drought shortens subtropical understory growing season by advancing leaf senescence;Global Change Biology;2024-05

3. Experimental Evidence Supporting the Seasonal Availability of Water Hypothesis in a Mixed C3/C4 Grassland;Ecosystems;2024-01-18

4. Multiscale phenology of seasonally dry tropical forests in an aridity gradient;Frontiers in Environmental Science;2023-12-18

5. Identifying Crop Growth Stages from Solar-Induced Chlorophyll Fluorescence Data in Maize and Winter Wheat from Ground and Satellite Measurements;Remote Sensing;2023-12-11