Leaf hydraulic distance is a good predictor of growth response to climate aridity within and across conifer species in a Taiga ecosystem

Bibliographic Details
Published in:Agricultural and Forest Meteorology
Main Authors: Li, Xingyue, Fan, Dayong, Liu, Zhengxiao, Fu, Zengjuan, Gan, Changqing, Lin, Zeyu, Xu, Chengyang, Sun, Han, Wang, Xiangping
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier BV 2023
Subjects:
Atmospheric Science
Agronomy and Crop Science
Global and Planetary Change
Forestry
taiga
Online Access:http://dx.doi.org/10.1016/j.agrformet.2023.109710
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spelling crelsevierbv:10.1016/j.agrformet.2023.109710 2024-05-19T07:49:21+00:00 Leaf hydraulic distance is a good predictor of growth response to climate aridity within and across conifer species in a Taiga ecosystem Li, Xingyue Fan, Dayong Liu, Zhengxiao Fu, Zengjuan Gan, Changqing Lin, Zeyu Xu, Chengyang Sun, Han Wang, Xiangping 2023 http://dx.doi.org/10.1016/j.agrformet.2023.109710 https://api.elsevier.com/content/article/PII:S0168192323004008?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S0168192323004008?httpAccept=text/plain en eng Elsevier BV https://www.elsevier.com/tdm/userlicense/1.0/ https://doi.org/10.15223/policy-017 https://doi.org/10.15223/policy-037 https://doi.org/10.15223/policy-012 https://doi.org/10.15223/policy-029 https://doi.org/10.15223/policy-004 Agricultural and Forest Meteorology volume 342, page 109710 ISSN 0168-1923 Atmospheric Science Agronomy and Crop Science Global and Planetary Change Forestry journal-article 2023 crelsevierbv https://doi.org/10.1016/j.agrformet.2023.109710 2024-04-19T07:30:13Z Article in Journal/Newspaper taiga ScienceDirect (Elsevier) Agricultural and Forest Meteorology 342 109710
institution Open Polar
collection ScienceDirect (Elsevier)
op_collection_id crelsevierbv
language English
topic Atmospheric Science
Agronomy and Crop Science
Global and Planetary Change
Forestry
spellingShingle Atmospheric Science
Agronomy and Crop Science
Global and Planetary Change
Forestry
Li, Xingyue
Fan, Dayong
Liu, Zhengxiao
Fu, Zengjuan
Gan, Changqing
Lin, Zeyu
Xu, Chengyang
Sun, Han
Wang, Xiangping
Leaf hydraulic distance is a good predictor of growth response to climate aridity within and across conifer species in a Taiga ecosystem
topic_facet Atmospheric Science
Agronomy and Crop Science
Global and Planetary Change
Forestry
format Article in Journal/Newspaper
author Li, Xingyue
Fan, Dayong
Liu, Zhengxiao
Fu, Zengjuan
Gan, Changqing
Lin, Zeyu
Xu, Chengyang
Sun, Han
Wang, Xiangping
author_facet Li, Xingyue
Fan, Dayong
Liu, Zhengxiao
Fu, Zengjuan
Gan, Changqing
Lin, Zeyu
Xu, Chengyang
Sun, Han
Wang, Xiangping
author_sort Li, Xingyue
title Leaf hydraulic distance is a good predictor of growth response to climate aridity within and across conifer species in a Taiga ecosystem
title_short Leaf hydraulic distance is a good predictor of growth response to climate aridity within and across conifer species in a Taiga ecosystem
title_full Leaf hydraulic distance is a good predictor of growth response to climate aridity within and across conifer species in a Taiga ecosystem
title_fullStr Leaf hydraulic distance is a good predictor of growth response to climate aridity within and across conifer species in a Taiga ecosystem
title_full_unstemmed Leaf hydraulic distance is a good predictor of growth response to climate aridity within and across conifer species in a Taiga ecosystem
title_sort leaf hydraulic distance is a good predictor of growth response to climate aridity within and across conifer species in a taiga ecosystem
publisher Elsevier BV
publishDate 2023
url http://dx.doi.org/10.1016/j.agrformet.2023.109710
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https://api.elsevier.com/content/article/PII:S0168192323004008?httpAccept=text/plain
genre taiga
genre_facet taiga
op_source Agricultural and Forest Meteorology
volume 342, page 109710
ISSN 0168-1923
op_rights https://www.elsevier.com/tdm/userlicense/1.0/
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https://doi.org/10.15223/policy-037
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https://doi.org/10.15223/policy-029
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op_doi https://doi.org/10.1016/j.agrformet.2023.109710
container_title Agricultural and Forest Meteorology
container_volume 342
container_start_page 109710
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