Forest NPP simulation in the Yangtze River Basin and its response to climate change

doi:10.12302/j.issn.1000-2006.201907039

JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2021, Vol. 45 ›› Issue (1): 175-181.doi: 10.12302/j.issn.1000-2006.201907039

Forest NPP simulation in the Yangtze River Basin and its response to climate change

ZHANG Fengying¹(), ZHANG Zengxin¹^,²^,^*(), TIAN Jiaxi¹, HUANG Richao², KONG Rui¹, ZHU Bin¹, ZHU Min¹, WANG Yiming², CHEN Xi³

1. Co-Innovation Center for the Sustainable Forestry in Southern China, College of Biology and the Environment, Nanjing Forestry University, Nanjing 210037, China
2. State Key Laboratory of Hydrology-Water Resources and Hydraulics Engineering,College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China
3. Institute of Surface-Earth System Science, Tianjin University, Tianjin 300072, China

Received:2019-07-05 Accepted:2020-04-02 Online:2021-01-30 Published:2021-02-01
Contact: ZHANG Zengxin E-mail:zhangfengying@njfu.edu.cn;nfuzhang@163.com

Abstract

Abstract:

【Objective】The Lund-Potsdam-Jena (LPJ) model was used to evaluate the forest net primary productivity (NPP) in the Yangtze River Basin and to study the temporal and spatial dynamic changes in the forest NPP and its relationship with climate factors. This can provide a reference for vegetation monitoring and ecological reconstruction in the Yangtze River Basin and other areas. 【Method】The NPP simulated by the LPJ model and meteorological data were used to evaluate the spatial distribution and spatio-temporal variation trend of the forest NPP in the Yangtze River Basin from 1982 to 2013. The linear regression analysis method was used to test the trend, with time as the independent variable and the vegetation variable (i.e., NPP in our study) as the dependent variable. The correlation analysis was used to analyze the relationship between the forest NPP and meteorological factors in the Yangtze River Basin. 【Result】①The annual average forest NPP value in the Yangtze River Basin from 1982 to 2013 was 530.41 g/(m²·a), and the highest forest NPP value was 578.55 g/(m²·a) in 2002. The lowest forest NPP occurred in 1989, with a value of 491.24 g/(m²·a). ②The spatial distribution of the forest NPP in the Yangtze River Basin decreased gradually from the southeast coast to the northwest, and the forest NPP in the middle and lower reaches of the Yangtze was higher than that in the upper Yangtze reaches. The spatial distribution pattern of the forest NPP was consistent with the distribution pattern of water and heat conditions. The water and heat conditions in the southeast of the Yangtze River Basin could meet the needs of vegetation growth and development, and the vegetation productivity was relatively high. The poor water and heat conditions in the northwest were not conducive to vegetation growth, which showed low productivity.③The forest NPP was positively correlated with temperature and precipitation in most areas of the Yangtze River Basin, and it showed a significant positive correlation with temperature. Moreover, the correlations between the forest NPP and temperature were higher than those of the forest NPP and precipitation. 【Conclusion】The forest NPP in the Yangtze River Basin presented a decreasing trend from southeast to northwest, and showed a rising trend of fluctuation with time. Climate had a significant influence on forest NPP, and temperature was the leading factor affecting the forest NPP.

Key words: net primary productivity (NPP), Lund-Potsdam-Jena model(LPJ model), forests, climate change, Yangtze River Basin

CLC Number:

S718

ZHANG Fengying, ZHANG Zengxin, TIAN Jiaxi, HUANG Richao, KONG Rui, ZHU Bin, ZHU Min, WANG Yiming, CHEN Xi. Forest NPP simulation in the Yangtze River Basin and its response to climate change[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2021, 45(1): 175-181.

Figures/Tables 7

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Table 1

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测算方法 method	时间段 period	常绿针叶林 evergreen needle leaved forest	落叶阔叶林 deciduous broad leaved forest	常绿阔叶林 evergreen broad leaved forest	混交林 mixed forest	灌丛 shrubs
LPJ	1982—2013	548.01	542.86	549.09	538.75	532.47
MODIS^[14]	2000—2009	633±199.4	543±208.3	823±324.2	631±191.2	489±271.8
CASA^[2]	1982—1999	295.46	268.65	365.01	—	286.64
实测值 observation	1989—1993	180~1 670	180~830	350~1 580	410~890	—

Forest NPP simulation in the Yangtze River Basin and its response to climate change

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