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Article

Vegetation Productivity Dynamics in Response to Climate Change and Human Activities under Different Topography and Land Cover in Northeast China

1
Key Laboratory of Geographical Processes and Ecological Security in Changbai Mountains, Ministry of Education, School of Geographical Sciences, Northeast Normal University, Changchun 130024, China
2
Urban Remote Sensing Application Innovation Center, School of Geographical Sciences, Northeast Normal University, Changchun 130024, China
3
Information Center, Department of Natural and Resources, Changchun 130024, China
4
Jilin Agricultural University Institute of Information Technology, Changchun 130024, China
*
Author to whom correspondence should be addressed.
Academic Editor: Sang-Eun Park
Received: 21 December 2020 / Revised: 28 February 2021 / Accepted: 1 March 2021 / Published: 4 March 2021
Net primary productivity (NPP) is the total amount of organic matter fixed by plants from the atmosphere through photosynthesis and is susceptible to the influences of climate change and human activities. In this study, we employed actual NPP (ANPP), potential NPP (PNPP), and human activity-induced NPP (HNPP) based on the Hurst exponent and statistical analysis to analyze the characteristics of vegetation productivity dynamics and to evaluate the effects of climate and human factors on vegetation productivity in Northeast China (NEC). The increasing trends in ANPP, PNPP, and HNPP accounted for 81.62%, 94.90%, and 89.63% of the total area, respectively, and ANPP in 68.64% of the total area will continue to increase in the future. Climate change played a leading role in vegetation productivity dynamics, which promoted an increase in ANPP in 71.55% of the area, and precipitation was the key climate factor affecting ANPP. The aggravation of human activities, such as increased livestock numbers and intensified agricultural activities, resulted in a decrease in ANPP in the western grasslands, northern Greater Khingan Mountains, and eastern Songnen Plain. In particular, human activities led to a decrease in ANPP in 53.84% of deciduous needleleaf forests. The impact of climate change and human activities varied significantly under different topography, and the percentage of the ANPP increase due to climate change decreased from 71.13% to 53.9% from plains to urgent slopes; however, the percentage of ANPP increase due to human activities increased from 3.44% to 21.74%, and the effect of human activities on the increase of ANPP was more obvious with increasing slope. At different altitudes, the difference in the effect of these two factors was not significant. The results are significant for understanding the factors influencing the vegetation productivity dynamics in NEC and can provide a reference for governments to implement projects to improve the ecosystem. View Full-Text
Keywords: vegetation productivity dynamics; net primary productivity (NPP); climate change; human activities; Northeast China vegetation productivity dynamics; net primary productivity (NPP); climate change; human activities; Northeast China
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MDPI and ACS Style

Li, H.; Zhang, H.; Li, Q.; Zhao, J.; Guo, X.; Ying, H.; Deng, G.; Rihan, W.; Wang, S. Vegetation Productivity Dynamics in Response to Climate Change and Human Activities under Different Topography and Land Cover in Northeast China. Remote Sens. 2021, 13, 975. https://0-doi-org.brum.beds.ac.uk/10.3390/rs13050975

AMA Style

Li H, Zhang H, Li Q, Zhao J, Guo X, Ying H, Deng G, Rihan W, Wang S. Vegetation Productivity Dynamics in Response to Climate Change and Human Activities under Different Topography and Land Cover in Northeast China. Remote Sensing. 2021; 13(5):975. https://0-doi-org.brum.beds.ac.uk/10.3390/rs13050975

Chicago/Turabian Style

Li, Hui, Hongyan Zhang, Qixin Li, Jianjun Zhao, Xiaoyi Guo, Hong Ying, Guorong Deng, Wu Rihan, and Shuling Wang. 2021. "Vegetation Productivity Dynamics in Response to Climate Change and Human Activities under Different Topography and Land Cover in Northeast China" Remote Sensing 13, no. 5: 975. https://0-doi-org.brum.beds.ac.uk/10.3390/rs13050975

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