Spatiotemporal Characteristics and Influencing Factors of Vegetation NEP in Qinghai Province from 2000 to 2020
Yi Wang
School of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China.
Guofeng Dang
School of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China.
DOI: https://doi.org/10.59429/pest.v4i4.6014
Keywords: Net Ecosystem Productivity (NEP); Qinghai Province; Driving Factor; Geodetector
Abstract
In the context of global climate change and "carbon neutrality", it is important to study the detection of vegetation carbon sources/sinks and their influencing factors in Qinghai Province. Based on the improved CASA model and soil respiration model, the spatial and temporal distribution patterns and changes of NEP were analyzed using MODIS products from 2000 to 2020, combining topographic data, meteorological data and land use data, and exploring the contribution of each driver, in order to reveal the spatial and temporal characteristics of vegetation NEP in Qinghai. The results showed that: 1. The results show that: 1. from 2000 to 2020, the interannual fluctuation of vegetation NEP in Qinghai Province is obvious, showing an increasing trend, and its carbon sink capacity is increasing. 2. the spatial NEP of vegetation in Qinghai Province is high in the southeast and low in the northwest, gradually increasing from the northwest to the southeast. 3. the NEP of vegetation in Qinghai Province increases with slope and elevation, showing an increasing trend and then decreasing. The influence of slope direction on vegetation NEP was not significant. The correlation and partial correlation analyses between vegetation NEP and climatic factors showed that both temperature and precipitation mainly promoted vegetation NEP, and the coupling effect was more obvious.4. The influence of driving factors on vegetation NEP in Qinghai Province had the highest average annual precipitation, and the interaction effect was mainly enhanced by two factors.
References
[1] Pan JH, Wen Y. Estimation of vegetation carbon sinks and their spatial and temporal patterns in the arid zone of northwest China[J]. Journal of Ecology,2015,35(23):7718-7728. [2] Del F, Huang Y, Wu Z, et al. Spatial and temporal patterns of carbon sources/sinks in Inner Mongolia grassland
ecosystems and their relationship with climate factors. Journal of Geography,2016,71( 1):21-34 . [3] Guo YQ. Carbon source/sink and carbon footprint dynamics of farmland ecosystems in Henan Province[J]. Northeast
Agricultural Science,2021,46(6):87-92. [4] Chen J. Spatial and temporal variation of carbon source/sink in the western Sichuan Plateau ecosystem and its influence mechanism[D]. Chengdu University of Information Engineering, 2020. [5] Sun QL, Li BL, Li F, et al. Research progress on estimation of net primary productivity of vegetation in Sanjiangyuan. Journal of Geography, 2016, 71(9): 1596-1612 . [6] Shao QQ, Cao W, Fan JW, Huang L, Xu XL. Ecological effectiveness assessment of the first phase of Sanjiangyuan
ecological protection and construction project( in English) . Journal of Geography,2017,27( 2):183-204 . [7] Liu F, Zeng Y. Spatial and temporal patterns of vegetation carbon sources/sinks on the Qinghai Plateau from
2000-2015[J]. Journal of Ecology,2021,41(14):5792-5803. [8] Gong J, Zhang Y, Qian CY. Spatial and temporal variation of net ecosystem productivity in the Bailong River Basin, Gansu. Journal of Ecology, 2017, 37( 15): 5121-5128. [9] Zhu WQ, Chen YH, Pan YJ et al. Estimation of vegetation light utilization in China based on GIS and RS. Journal of
Wuhan University: Information Science Edition,2004,29( 8):694-698,714-714 . [10] Pei CY, Zhou CP, Ouyang H. et al. Regional carbon estimation of alpine grasslands on the Qinghai-Tibet Plateau. Geographical Studies,2010,29( 1):102-110 . [11] Wang Q, Zhang TB, Yi GH et al. Spatial and temporal variation of vegetation NPP and its drivers in the Hengduan Mountains from 2004-2014. Journal of Ecology,2017,37( 9):3084-3095 . [12] Cao F, Ge Y, Wang JF. Optimal discretization for geographical detectors-based risk assessment. GIScience &
RemoteSensing, 2013, 50(1): 78-92 .[13] Wang JF, Liao YL, Liu X. 2010.Tutorial on spatial data analysis [M]. Beijing:Science Press . [14] Feng W, Xie SY. Spatial and temporal characteristics of vegetation NPP and detection of influence factors in the Yangtze River basin area from 2000-2015[J]. Soil and water conservation research,2022,29(01):176-183. Author Biography: Yi Wang, b. 1998, female, master student, mainly engaged in ecological direction.