Net primary productivity and spatial distribution of vegetation in an alpine wetland, Qinghai-Tibetan Plateau

Net Primary Productivity (NPP) is a basis of material and energy flows in terrestrial ecosystems, and it is also an important component in the research on carbon cycle and carbon budget. This paper evaluated the spatial distribution pattern and temporal change trends for forest NPP simulated by the LPJ (Lund-Potsdam-Jena) model and NDVI (normalized difference vegetation index) in the Yangtze River basin from 1982 to 2013. The results revealed that: (1) the spatial distribution of the forest NPP and NDVI in the Yangtze River basin has gradually decreased from the southeast coast to the northwest. The forest NPP and NDVI in the mid-lower Yangtze were higher than that of the upper Yangtze; (2) the forest NPP and NDVI in most areas of the Yangtze River basin were positively correlated with the temperature and precipitation. Moreover, the correlations among the temperature with the forest NPP and NDVI were stronger than that of correlations among precipitation with forest NPP and NDVI. Moreover, the extreme drought event in the year of 2004–2005 led the NPP to decrease in the middle and lower Yangtze River basin; (3) human activity such as major ecological projects would have a certain impact on the NPP and NDVI. The increase in forest areas from 2000 to 2010 was larger than that from 1990 to 2000. Moreover, the increasing rate for the NDVI was higher than that of NPP, especially after the year 2000, which indicates that the major ecological projects might have great impacts on the vegetation dynamics. Moreover, more attention should be paid on the joint impacts of human activity and climate change on terrestrial NPP and NDVI.

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Seasonally and spatially varied controls of climatic factors on net primary productivity in alpine grasslands on the Tibetan Plateau

Global Ecology and Conservation ◽

10.1016/j.gecco.2019.e00814 ◽

2020 ◽

Vol 21 ◽

pp. e00814 ◽

Cited By ~ 5

Author(s):

Zhoutao Zheng ◽

Wenquan Zhu ◽

Yangjian Zhang

Keyword(s):

Tibetan Plateau ◽

Primary Productivity ◽

Net Primary Productivity ◽

Climatic Factors ◽

The Tibetan Plateau ◽

Alpine Grasslands

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Impacts of increased variability in precipitation and air temperature on net primary productivity of the Tibetan Plateau: a modeling analysis

Climatic Change ◽

10.1007/s10584-013-0719-2 ◽

2013 ◽

Vol 119 (2) ◽

pp. 321-332 ◽

Cited By ~ 18

Author(s):

Jian-Sheng Ye ◽

James F. Reynolds ◽

Guo-Jun Sun ◽

Feng-Min Li

Keyword(s):

Tibetan Plateau ◽

Air Temperature ◽

Primary Productivity ◽

Net Primary Productivity ◽

The Tibetan Plateau ◽

Modeling Analysis

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Analysis of the spatial distribution of net primary productivity across Corsica (France) using the echelon approach

International Journal of Remote Sensing ◽

10.1080/01431160050029576 ◽

2000 ◽

Vol 21 (11) ◽

pp. 2301-2306 ◽

Cited By ~ 1

Author(s):

C. Ricotta ◽

G. C. Avena

Keyword(s):

Spatial Distribution ◽

Primary Productivity ◽

Net Primary Productivity

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Spatio-Temporal Changes of Vegetation Net Primary Productivity and Its Driving Factors on the Qinghai-Tibetan Plateau from 2001 to 2017

Remote Sensing ◽

10.3390/rs13081566 ◽

2021 ◽

Vol 13 (8) ◽

pp. 1566

Author(s):

Yin Zhang ◽

Qingwu Hu ◽

Fengli Zou

Keyword(s):

Tibetan Plateau ◽

Primary Productivity ◽

Human Activities ◽

Net Primary Productivity ◽

Climatic Factors ◽

Correlation Coefficients ◽

Google Earth ◽

Computing Platform ◽

Positive Effects ◽

Spatio Temporal

The Qinghai-Tibetan Plateau (QTP) is the highest plateau in the world. Under the background of global change, it is of unique significance to study the net primary productivity (NPP) of vegetation on the QTP. Based on the Google Earth Engine (GEE) cloud computing platform, the spatio-temporal variation characteristics of the NPP on the QTP from 2001 to 2017 were studied, and the impacts of climate change, elevation and human activity on the NPP in the QTP were discussed. The mean and trend of NPP over the QTP were “high in the southeast and low in the northwest” during 2001–2017. The trend of NPP was mostly between 0 gC·m−2·yr−1 and 20 gC·m−2·yr−1 (regional proportion: 80.3%), and the coefficient of variation (CV) of NPP was mainly below 0.16 (regional proportion: 89.7%). Therefore, NPP was relatively stable in most regions of the QTP. Among the correlation coefficients between NPP and temperature, precipitation and human activities, the positive correlation accounted for 81.1%, 48.6% and 56.5% of the QTP area, respectively. Among the two climatic factors, the influence of temperature on NPP was greater than that of precipitation. The change of human activities and the high temperature at low altitude had positive effects on the increase of NPP.

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