陕北植被净初级生产力人为影响定量测评与分析

doi:10.16843/j.sswc.2020.05.010

Abstract
Figure/Table
References
Related Citation (9)

Download: PDF (4724 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract [Background] Under the double influence of ecological construction and energy development, the ecological environment in northern Shaanxi is facing great pressure. Quantitative study on the human impact on net primary productivity (NPP) of vegetation, which is the basis of quantitative study on human impact on regional ecosystem, can lay a foundation for trade-off analysis between regional soil and water conservation services and socio-economic development. Therefore, it is necessary to quantitatively study the impact of human activities on NPP of vegetation in northern Shaanxi. [Methods] Based on the normalized differenced vegetation index (NDVI) data which was validated, the vegetation coverage data and the climate data which was resampled to 250 m resolution, the NPP of vegetation and its human impact value were calculated using CASA model and the human impact assessment model respectively. Then the spatio-temporal variation of human impact on NPP was analyzed using the Theil-Sen trend degree. Finally, the specific human factors were made an empirical analysis based on the statistics data and land use degree data. [Results] 1) The impact of human activities on vegetation NPP in northern Shaanxi showed an annual trend of increasing positive impact and decreasing negative impact from 2001 to 2014. The negative impact decreased by 3.40 g/(m²·a) and the positive impact increased by 0.91 g/(m²·a). Especially in 2013, the positive impact of human activities on vegetation NPP was the strongest. 2) The positive and negative effects of human activities on vegetation NPP were mainly increasing trend. The positive trend of human impact was obvious in the central and eastern regions, the highest positive trend value was 40.39 g/(m²·a), and the positive effects of significant and significant changes were mainly located in the hilly and gully region along the Kuye River in Fugu county and Shenmu county, as well as the Yuxi River Wetland at the junction of Yuyang district and Mizhi county. While the negative trend of human impact was obvious in the northwest and southern regions, the highest negative trend value was -37.17 g/(m²·a), and the negative effects of significant and significant changes were mainly distributed in the northern energy area and the farming and pastoral areas in the middle east. 3) The "Grain for Green Project" was the main reason for the positive influence of vegetation NPP. The increase of the proportion of energy industry and the urban expansion were the main reasons for the gradual increase of human negative influence. And there was not a simple linear relationship between the human impact of vegetation NPP and land use degree. [Conculsions] The human positive impact of vegetation NPP shows an increasing trend, while the negative impact decreasing. The effect of ecological governance has been obvious, but the human negative impact is still stronger in the northern energy area and the southern tableland agricultural area, thus the ecological governance should be further strengthened.

Key words： net primary productivity (NPP) human impact assessment model quantitative evaluation northern Shaanxi

Received: 20 September 2019

PACS:	S181
	F301.24

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	DUAN Yifang
	REN Zhiyuan
	SUN Yijie

Cite this article:

DUAN Yifang,REN Zhiyuan,SUN Yijie. Quantitative evaluation and analysis of human impact on net primary productivity of vegetation in northern Shaanxi[J]. SSWC, 2020, 18(5): 81-88.

URL:

http://journal12.magtechjournal.com/Jweb_stbc/EN/10.16843/j.sswc.2020.05.010 OR http://journal12.magtechjournal.com/Jweb_stbc/EN/Y2020/V18/I5/81

[1]	CHRISTOPHER B F, MICHAEL J B, JAMES T R, et al. Primary production of the biosphere:Integrating terrestrial and oceanic components[J]. Science, 1998, 281(5374):237.
[2]	SUE E T, THOMAS S, STEVEN D M, et al. Accounting for land use in life cycle assessment:The value of NPP as a proxy indicator to assess land use impacts on ecosystems[J]. Science of the Total Environment, 2016,550(8):143.
[3]	吴艳艳, 吴志峰, 余世孝. 定量评价人类活动对净初级生产力的影响[J]. 应用生态学报, 2017, 28(8):2535. WU Yanyan, WU Zhifeng, YU Shixiao. Quantitative assessment of the impacts of human activities on net primary productivity[J]. Chinese Journal of Applied Ecology, 2017, 28(8):2535.
[4]	刘爱琳, 匡文慧, 闫慧敏, 等. 2000-2015年城市和工矿用地扩张对净初级生产力的影响[J]. 干旱区地理, 2017, 40(4):805. LIU Ailin, KUANG Wenhui, YAN Huimin, et al. Impacts of urban and industrial land expansion on net primary productivity of China during 2000-2015[J]. Arid Land Geography, 2017, 40(4):805.
[5]	李传华, 范也平, 曹红娟, 等. 基于CASA模型的植被第一性生产力人为影响定量研究:以石羊河流域为例[J]. 干旱区地理, 2018, 41(1):142. LI Chuanhua, FAN Yeping, CAO Hongjuan, et al. Impact of human activities on net primary productivity based on the CASA model:A case study of the Shiyang River Basin[J].Arid Land Geography, 2018, 41(1):142.
[6]	王钊,李登科. 2000-2015年陕西植被净初级生产力时空分布特征及其驱动因素[J]. 应用生态学报, 2018, 29(6):1876. WANG Zhao, LI Dengke. Spatial-temporal distribution of vegetation net primary productivity and its driving factors from 2000 to 2015 in Shaanxi,China[J]. Chinese Journal of Applied Ecology, 2018, 29(6):1876.
[7]	史晓亮, 杨志勇, 王馨爽, 等. 黄土高原植被净初级生产力的时空变化及其与气候因子的关系[J]. 中国农业气象, 2016, 37(4):445. SHI Xiaoliang, YANG Zhiyong, WANG Xinshuang, et al. Spatial and temporal variation of net primary productivity and its relationship with climate factors in the Chinese Loess Plateau[J]. Chinese Journal of Agrometeorology, 2016, 37(4):445.
[8]	同琳静, 刘洋洋, 王倩, 等. 西北植被净初级生产力时空变化及其驱动因素[J]. 水土保持研究, 2019, 26(4):367. TONG Linjing, LIU Yangyang, WANG Qian, et al. Spatial and temporal dynamics of net primary productivity and its driving factors in Northwest China[J].Research of Soil and Water Conservation, 2019, 26(4):367.
[9]	朱文泉, 潘耀忠, 何浩, 等. 中国典型植被最大光利用率模拟[J]. 科学通报, 2006, 51(6):700. ZHU Wenquan, PAN Yaozhong, HE Hao, et al. Simulation of the maximum light utilization efficiency of typical vegetation in China[J]. Chinese Science Bulletin,2006, 51(6):700.
[10]	宋富强, 康慕谊, 陈雅如, 等. 陕北黄土高原植被净初级生产力的估算[J]. 生态学杂志, 2009, 28(11):2311. SONG Fuqiang, KANG Muyi, CHEN Yaru, et al. Estimation of vegetation net primary productivity on North Shaanxi Loess Plateau[J]. Chinese Journal of Ecology, 2009, 28(11):2311.
[11]	王建邦,赵军, 李传华, 等. 2001-2015年中国植被覆盖人为影响的时空格局[J]. 地理学报, 2019, 74(3):504. WANG Jianbang, ZHAO Jun, ZHAO Chuanhua,et al. The spatial-temporal patterns of the impact of human activities on vegetation coverage in China from 2001 to 2015[J]. Acta Geographica Sinica, 2019, 74(3):504.
[12]	闫俊杰, 吕光辉, 徐海量, 等. 2000-2014年塔里木河干流的植被覆盖与蒸散发时空变化及其关系[J]. 水土保持通报, 2018, 38(3):248. YAN Junjie, LÜ Guanghui, XU Hailiang, et al. Spatial-temporal variations in vegetation cover and evapotranspiration and their relationship in Tarim River during 2000-2014[J]. Bulletin of Soil and Water Conservation, 2018, 38(3):248.
[13]	刘纪远.中国资源环境遥感宏观调查与动态研究[M]. 北京:中国科学技术出版社,1996:185. LIU Jiyuan. Study on resources and enviroment survey and dynamic monitoring of China using remote sensing[M]. Beijing:China Science and Technology Press, 1996:185.