Joint Control of Net Primary Productivity by Climate and Soil Nitrogen in the Forests of Eastern China

The nature and extent of climate and soil nutrient controls in Chinese forests remain poorly resolved. Here, we synthesized the data on carbon–climate–soil in eastern China, and litter N was firstly taken into consideration, to examine the variation of net primary productivity (N...

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Main Authors: Zhan Xiaoyun, Guo Minghang, Zhang Tibin
Format: Article
Language:English
Published: MDPI AG 2018-06-01
Series:Forests
Subjects:
Online Access:http://www.mdpi.com/1999-4907/9/6/322
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spelling doaj-b36c1d67e9664f799eea825f3ab0cfb02020-11-24T21:21:30ZengMDPI AGForests1999-49072018-06-019632210.3390/f9060322f9060322Joint Control of Net Primary Productivity by Climate and Soil Nitrogen in the Forests of Eastern ChinaZhan Xiaoyun0Guo Minghang1Zhang Tibin2State Key Laboratory of Soil Erosion and Dryland Farming on Loess Plateau, Institute of Soil and Water Conservation, Northwest A&F University, Yangling 712100, ChinaState Key Laboratory of Soil Erosion and Dryland Farming on Loess Plateau, Institute of Soil and Water Conservation, Northwest A&F University, Yangling 712100, ChinaState Key Laboratory of Soil Erosion and Dryland Farming on Loess Plateau, Institute of Soil and Water Conservation, Northwest A&F University, Yangling 712100, ChinaThe nature and extent of climate and soil nutrient controls in Chinese forests remain poorly resolved. Here, we synthesized the data on carbon–climate–soil in eastern China, and litter N was firstly taken into consideration, to examine the variation of net primary productivity (NPP) and its driving forces. Results showed that NPP had significant latitude pattern and varied substantially across climate zones. Bivariate analyses indicated that mean annual temperature (MAT), mean annual precipitation (MAP), soil N content (Nsoil), and annual litter N (Nre) were the main controlling factors in spatial pattern of forest NPP. Notably, partial general linear model analysis revealed that MAT, MAP, and Nre jointly explained 84.8% of the spatial variation of NPP. Among the three major factors, Nre explained more variation of forest NPP than the other two factors, and MAT and MAP affected NPP mainly through the change of litter N rather than via themselves, highlighting the importance of litter N in estimating forest NPP. However, to accurately describe the pattern of forest NPP in China, more detailed field measurements and methodologies on NPP and relevant confounding factors should be addressed in future studies.http://www.mdpi.com/1999-4907/9/6/322net primary productivityclimate zoneclimatesoil Nlitter N
collection DOAJ
language English
format Article
sources DOAJ
author Zhan Xiaoyun
Guo Minghang
Zhang Tibin
spellingShingle Zhan Xiaoyun
Guo Minghang
Zhang Tibin
Joint Control of Net Primary Productivity by Climate and Soil Nitrogen in the Forests of Eastern China
Forests
net primary productivity
climate zone
climate
soil N
litter N
author_facet Zhan Xiaoyun
Guo Minghang
Zhang Tibin
author_sort Zhan Xiaoyun
title Joint Control of Net Primary Productivity by Climate and Soil Nitrogen in the Forests of Eastern China
title_short Joint Control of Net Primary Productivity by Climate and Soil Nitrogen in the Forests of Eastern China
title_full Joint Control of Net Primary Productivity by Climate and Soil Nitrogen in the Forests of Eastern China
title_fullStr Joint Control of Net Primary Productivity by Climate and Soil Nitrogen in the Forests of Eastern China
title_full_unstemmed Joint Control of Net Primary Productivity by Climate and Soil Nitrogen in the Forests of Eastern China
title_sort joint control of net primary productivity by climate and soil nitrogen in the forests of eastern china
publisher MDPI AG
series Forests
issn 1999-4907
publishDate 2018-06-01
description The nature and extent of climate and soil nutrient controls in Chinese forests remain poorly resolved. Here, we synthesized the data on carbon–climate–soil in eastern China, and litter N was firstly taken into consideration, to examine the variation of net primary productivity (NPP) and its driving forces. Results showed that NPP had significant latitude pattern and varied substantially across climate zones. Bivariate analyses indicated that mean annual temperature (MAT), mean annual precipitation (MAP), soil N content (Nsoil), and annual litter N (Nre) were the main controlling factors in spatial pattern of forest NPP. Notably, partial general linear model analysis revealed that MAT, MAP, and Nre jointly explained 84.8% of the spatial variation of NPP. Among the three major factors, Nre explained more variation of forest NPP than the other two factors, and MAT and MAP affected NPP mainly through the change of litter N rather than via themselves, highlighting the importance of litter N in estimating forest NPP. However, to accurately describe the pattern of forest NPP in China, more detailed field measurements and methodologies on NPP and relevant confounding factors should be addressed in future studies.
topic net primary productivity
climate zone
climate
soil N
litter N
url http://www.mdpi.com/1999-4907/9/6/322
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AT guominghang jointcontrolofnetprimaryproductivitybyclimateandsoilnitrogenintheforestsofeasternchina
AT zhangtibin jointcontrolofnetprimaryproductivitybyclimateandsoilnitrogenintheforestsofeasternchina
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