[1]ZHANG Jiazheng,LI Chonggui,WANG Tao.Dynamic Changes of Vegetation Coverage on the Loess Plateau and Its Factors[J].Research of Soil and Water Conservation,2022,29(01):224-230+241.
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Dynamic Changes of Vegetation Coverage on the Loess Plateau and Its Factors
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
29
Number of periods:
2022 01
Page number:
224-230+241
Column:
Public date:
2022-02-20
- Title:
- Dynamic Changes of Vegetation Coverage on the Loess Plateau and Its Factors
- Keywords:
- vegetation coverage; dimidiate pixel model; temporal and spatial changes; Loess Plateau; meteorological factors; human activities
- CLC:
- Q948.112
- DOI:
- -
- Abstract:
- Study of the dynamic changes of vegetation cover in the Loess Plateau and its relationship with human activities and meteorological factors is of great significance for evaluating regional ecological environment quality and ecological processes. Based on the data of the Loess Plateau NDVI from 1982 to 2018(GIMMS NDVI from 1982 to 2011 and MODIS NDVI from 2000 to 2018), we used the dimidiate pixel model to estimate the vegetation coverage, and the temporal and spatial variation of vegetation coverage in the Loess Plateau and its response characteristics to human activities and meteorological factors were analyzed with the help of vegetation greenness, correlation analysis, multiple regression and residual method. The results show that:(1)in the past 37 years, the vegetation coverage in the spring, summer, autumn and growing seasons of the Loess Plateau had shown an increasing trend, and the increase rate of FVC in each season had increased year by year, especially in the summer and the growing season;(2)spatially, the FVC in spring, summer, autumn and growing seasons showed an increasing trend from northwest to southeast, and most of the areas have a significant increasing trend, and the area with improved vegetation cover is larger than that with degraded vegetation cover;(3)human activities in spring, summer, autumn and growing seasons mainly had positive effects on FVC, and human activities in summer had more significant impact on FVC. In terms of meteorological factors, the area where FVC and average temperature showed a significant positive correlation in summer and growing season accounted for a relatively large area, and the area where FVC and total precipitation showed a significant positive correlation in spring and autumn accounted for a relatively large area. The implementation of ecological projects such as returning farmland to forest(grass)had significantly improved the vegetation status of the Loess Plateau, but urban expansion had caused the degradation of vegetation cover in some areas.
- References:
- [1] Meyer W B, Turner B L. Human population growth and global land-use/cover change[J]. Annual Review of Ecology and Systematics, 1992,23(1):39-61.[2] 刘洋,李诚志,刘志辉,等.1982—2013年基于GIMMS-NDVI的新疆植被覆盖时空变化[J].生态学报,2016,36(19):6198-6208.[3] 童珊,曹广超,曹生奎.近34年祁连山南坡植被覆盖变化与气象因子关系研究[J].长江流域资源与环境,2020,29(12):2655-2664.[4] 龙昊宇,翁白莎,黄彬彬,等.1984—2017年洪泽湖湿地植被覆盖度变化及对水位的响应[J].水生态学杂志,2020,41(5):98-106.[5] 李晶,崔绿园,闫萧萧,等.草原矿区长时序植被覆盖度变化趋势对比分析[J].测绘通报,2019(8):130-134.[6] 邓兴耀,姚俊强,刘志辉.基于GIMMS NDVI的中亚干旱区植被覆盖时空变化[J].干旱区研究,2017,34(1):10-19.[7] 孟浩斌,周启刚,李明慧,等.基于MODIS像元尺度的三峡库区植被覆盖度变化的地形分布特征[J].长江流域资源与环境,2020,29(8):1790-1799.[8] 孟晗,黄远程,史晓亮.黄土高原地区2001—2015年植被覆盖变化及气候影响因子[J].西北林学院学报,2019,34(1):211-217.[9] 范倩倩,赵安周,王金杰,等.1982—2015年黄土高原NDVI时空演变及其对气候变化的季节响应[J].生态学杂志,2020,39(5):1664-1675.[10] 董镱,尹冬勤,李渊,等.黄土高原植被的时空变化及其驱动力分析研究[J].中国农业大学学报,2020,25(8):120-131.[11] 刘静,温仲明,刚成诚.黄土高原不同植被覆被类型NDVI对气候变化的响应[J].生态学报,2020,40(2):678-691.[12] Li G, Sun S, Han J, et al. Impacts of Chinese Grain for Green program and climate change on vegetation in the Loess Plateau during 1982-2015[J]. Science of the Total Environment, 2019,660:177-187.[13] 邵蕊,李垚,张宝庆.黄土高原退耕还林(草)以来植被水分利用效率的时空特征及预测[J].科技导报,2020,38(17):81-91.[14] 孙锐,陈少辉,苏红波.黄土高原不同生态类型NDVI时空变化及其对气候变化响应[J].地理研究,2020,39(5):1200-1214.[15] 尤南山,董金玮,肖桐,等.退耕还林还草工程对黄土高原植被总初级生产力的影响[J].地理科学,2020,40(2):315-323.[16] 郭永强,王乃江,褚晓升,等.基于Google Earth Engine分析黄土高原植被覆盖变化及原因[J].中国环境科学,2019,39(11):4804-4811.[17] Tucker C J, Pinzon J E, Brown M E, et al. An extended AVHRR 8-km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data[J]. International Journal of Remote Sensing, 2005,26(20):4485-4498.[18] Peng S, Ding Y, Liu W, et al.1 km monthly temperature and precipitation dataset for China from 1901 to 2017[J]. Earth System Science Data, 2019,11(4):1931-1946.[19] 孟浩斌,周启刚,李明慧,等.基于MODIS像元尺度的三峡库区植被覆盖度变化的地形分布特征[J].长江流域资源与环境,2020,29(8):1790-1799.[20] 马梓策,于红博,曹聪明,等.中国植被覆盖度时空特征及其影响因素分析[J].长江流域资源与环境,2020,29(6):1310-1321.[21] 俱战省,杨青森,邢培茹.1987—2015年嘉陵江源区植被覆盖度时空变化特征[J].地球与环境,2020,48(4):452-460.[22] 龙爽,郭正飞,徐粒,等.基于Google Earth Engine的中国植被覆盖度时空变化特征分析[J].遥感技术与应用,2020,35(2):326-334.[23] 程志峰,何祺胜.基于RSEI的苏锡常城市群生态环境遥感评价[J].遥感技术与应用,2019,34(3):531-539.[24] Shahid M, Cong Z, Zhang D. Understanding the impacts of climate change and human activities on streamflow:a case study of the Soan River basin, Pakistan[J]. Theoretical and Applied Climatology, 2018,134(1):205-219.[25] Zhang L, Nan Z, Wang W, et al. Separating climate change and human contributions to variations in streamflow and its components using eight time-trend methods[J]. Hydrological Processes, 2019,33(3):383-394.[26] 金凯,王飞,韩剑桥,等.1982—2015年中国气候变化和人类活动对植被NDVI变化的影响[J].地理学报,2020,75(5):961-974.[27] 刘旻霞,赵瑞东,邵鹏,等.近15 a黄土高原植被覆盖时空变化及驱动力分析[J].干旱区地理,2018,41(1):99-108.[28] 刘哲,邱炳文,王壮壮,等.2001—2014年黄土高原植被覆盖状态时空演变分析[J].国土资源遥感,2017,29(1):192-198.[29] 史晓亮,王馨爽.黄土高原草地覆盖度时空变化及其对气候变化的响应[J].水土保持研究,2018,25(4):189-194.[30] 韩瑞梅,刘培,马超,等.鄂尔多斯植被的NDVI3g动态及气候响应[J].水土保持通报,2016,36(5):28-33,39.[31] 张琨,吕一河,傅伯杰,等.黄土高原植被覆盖变化对生态系统服务影响及其阈值[J].地理学报,2020,75(5):949-960.[32] 马雄伟,赵庆志,姚顽强.黄土高原植被对气候变化的时滞响应及其时变特征[J].西安科技大学学报,2020,40(1):157-166.[33] 卢乔倩,江涛,柳丹丽,等.中国不同植被覆盖类型NDVI对气温和降水的响应特征[J].生态环境学报,2020,29(1):23-34.[34] 郭力宇,郭昭,王涛,等.陕北黄土高原植被动态变化及其对气候因子的响应[J].西安科技大学学报,2019,39(2):317-326.[35] 韩丹丹,穆兴民,高鹏,等.黄土高原地区植被变化及其对极端气候的响应[J].水土保持通报,2020,40(2):247-254.
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Last Update:
2022-02-20