Process-based models outcompete correlative models in projecting spring phenology of trees in a future warmer climate-Reference-Cited by-同舟云学术

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Process-based models outcompete correlative models in projecting spring phenology of trees in a future warmer climate

Published:2020-05 Issue: Volume:285-286 Page:107931
ISSN:0168-1923
Container-title:Agricultural and Forest Meteorology
language:en
Short-container-title:Agricultural and Forest Meteorology

Author:

Asse Daphné^ORCID,Randin Christophe F.,Bonhomme Marc,Delestrade Anne,Chuine Isabelle

Funder

Association Nationale de la Recherche et de la Technologie

Université de Lausanne

Publisher

Elsevier BV

Subject

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

Reference75 articles.

1. Modeling climate change impacts on phenology and population dynamics of migratory marine species;Anderson;Ecol. Modell.,2013

2. Warmer winters reduce the advance of tree spring phenology induced by warmer springs in the Alps;Asse;Agric. For. Meteorol.,2018

3. Evaluating phenological models for the prediction of leaf-out dates in six temperate tree species across central Europe;Basler;Agric. For. Meteorol.,2016

4. Photoperiod sensitivity of bud burst in 14 temperate forest tree species;Basler;Agric. For. Meteorol.,2012

5. Bellon-Maurel, V., Fernandez-Ahumada, E., Palagos, B., Roger, J.M., McBratney, A., 2010. Critical review of chemometric indicators commonly used for assessing the quality of the prediction of soil attributes by NIR spectroscopy. TrAC – Trends Anal. Chem. doi:10.1016/j.trac.2010.05.006.

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