Arid
20002018年黄土高原植被覆盖时空变化及影响因素
其他题名Spatial and temporal changes of vegetation cover and its influencing factors in the Loess Plateau from 2000 to 2018
李依璇; 朱清科; 石若莹; 苟清平
来源期刊中国水土保持科学
ISSN2096-2673
出版年2021
卷号19期号:4页码:60-68
中文摘要自退耕还林等林业生态工程开展以来,黄土高原植被覆被状况明显改善,监测该区植被覆盖时空变化并探究其影响因素,对科学评价生态建设成效具有重要意义。基于MODIS-NDVI数据,采用像元二分法、趋势分析法、偏相关分析法及残差分析法研究黄土高原20002018年植被覆盖度时空变化特征及影响因素。结果表明: 1) 20002018年黄土高原生长季植被覆盖度呈波动性上升趋势,在空间上表现为由东南向西北递减; 2)研究时段内,黄土高原植被覆盖度呈增加趋势的面积为75.64%,中部增长趋势明显; 3)整体上黄土高原植被覆盖度与年降水量呈显著正相关趋势(P < 0.05),但与年平均气温的偏相关系数较低; 4)在退耕还林工程试验示范县陕西省吴起县及所在的延安市,植被恢复优于黄土高原整体,增长率分别为0.011 12 /a和0.009 80 /a。总体上,人类活动对黄土高原植被覆盖度增加产生积极影响,延安北部及其周边地区尤为显著,生态工程建设在该区植被恢复中成效显著。
英文摘要[Background]The Loess Plateau is located in a semi-arid and semi-humid climate zone with serious soil erosion. It is an ecologically fragile area and a key area of soil and water conservation in China. Since the implementation of the project of Returning Farmland to Forest in 1999,the vegetation coverage of the area has increased significantly. Yan'an city and Wuqi county are the typical areas that have taken the lead in implementing the project of Returning Farmland to Forest. [Methods]Based on MODIS-NDVI data,the vegetation coverage in the growing season of the Loess Plateau from 2000 to 2018 was estimated using the image element dichotomy method. The spatial and temporal characteristics of vegetation cover and its correlation with climatic factors were studied by trend analysis,partial correlation analysis and significance test. The influence of human activities on the trend of vegetation cover change was explored by excluding the influence of climatic factors on vegetation cover through residual analysis. [Results]1) From 2000 to 2018,the vegetation coverage in the growing season of the Loess Plateau showed a fluctuating upward trend with an overall growth rate of 0.004 62 /a,and the spatial distribution of vegetation coverage decreased from southeast to northwest. 2 ) In the time series,the vegetation coverage in the Loess Plateau was significantly positively correlated with the annual precipitation (P < 0.05),and 30% of the region showed a significant positive,but the correlation with the annual average temperature was not significant and the correlation coefficient was low. 3) Yan'an city and Wuqi county, as typical areas of Returning Farmland to Forest,were generally better than the Loess Plateau,the average growth rates in recent 20 years was in Wuqi > Yan'an > Loess Plateau,with significant increase in vegetation cover and significant ecological construction effects. 4) The vegetation cover in the Yan'an and Wuqi counties were positively correlated with annual precipitation,while negatively correlated with annual average temperature. The correlation coefficient between county's vegetation coverage and climate factors was higher,but it did not pass the statistical significance test. 5) Human activities have had a large impact on the Loess Plateau,with a significant positive impact on northern Yan' an and its surrounding areas. The project of Returning Farmland to Forest has achieved remarkable results in this area. [Conclusions] In the context of Returning Farmland to Forest project,the Loess Plateau has experienced significant vegetation recovery in the past 20 years. Compared with temperature,the correlation between precipitation and vegetation coverage is more significant. Human activities have both constructive and destructive effects on vegetation cover change in the Loess Plateau,but the positive effect is greater than the negative effect.
中文关键词气候因子 ; 趋势分析 ; 人类活动 ; 黄土高原
英文关键词NDVI NDVI climate factors trend analysis human activities the Loess Plateau
类型Article
语种中文
收录类别CSCD
WOS类目Forestry
CSCD记录号CSCD:7043172
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/378131
作者单位李依璇, 北京林业大学水土保持学院, 北京 100083, 中国.; 石若莹, 北京林业大学水土保持学院, 北京 100083, 中国.; 苟清平, 北京林业大学水土保持学院, 北京 100083, 中国.; 朱清科, 北京林业大学水土保持学院;;山西吉县森林生态系统国家野外科学观测研究站, ;;山西吉县森林生态系统国家野外科学观测研究站, ;;吉县, 北京;;山西 100083;;042200, 中国.
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李依璇,朱清科,石若莹,等. 20002018年黄土高原植被覆盖时空变化及影响因素[J],2021,19(4):60-68.
APA 李依璇,朱清科,石若莹,&苟清平.(2021).20002018年黄土高原植被覆盖时空变化及影响因素.中国水土保持科学,19(4),60-68.
MLA 李依璇,et al."20002018年黄土高原植被覆盖时空变化及影响因素".中国水土保持科学 19.4(2021):60-68.
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