1. 西北农林科技大学 水土保持研究所, 陕西 杨凌,712100
2. 中国科学院 水利部 水土保持研究所, 陕西 杨凌,712100
纸质出版:2023
移动端阅览
张洵, 岑云峰, 高照良, 等. 2001-2020年黄土高原生态环境质量对气候及土地利用变化的响应[J]. 水土保持通报, 2023,43(3):234-244.
Zhang Xun, Cen Yunfeng, Gao Zhaoliang, et al. Response of Eco-environmental Quality to Climate Change and Land Use in Loess Plateau from 2000 to 2020[J]. Bulletin of Soiland Water Conservation, 2023, 43(3): 234-244.
张洵, 岑云峰, 高照良, 等. 2001-2020年黄土高原生态环境质量对气候及土地利用变化的响应[J]. 水土保持通报, 2023,43(3):234-244. DOI: 10.13961/j.cnki.stbctb.2023.03.028.
Zhang Xun, Cen Yunfeng, Gao Zhaoliang, et al. Response of Eco-environmental Quality to Climate Change and Land Use in Loess Plateau from 2000 to 2020[J]. Bulletin of Soiland Water Conservation, 2023, 43(3): 234-244. DOI: 10.13961/j.cnki.stbctb.2023.03.028.
[目的] 分析黄土高原生态环境质量(EEQ)时空变化特征及其对气候与土地利用变化的响应情况,为黄土高原制定合理的生态保护措施及土地开发提供一定的依据,以实现其高质量发展。[方法] 基于改进的遥感生态环境指数及气候、土地利用等数据,从像元尺度出发,利用Theil-Sen趋势分析等方法探究了黄土高原2001—2020年EEQ的时空变化特征,同时采用多元回归及叠加分析等手段研究了EEQ对气候变化及土地利用转移的响应情况。[结果] ①研究时段内,黄土高原EEQ呈现小幅度波动上升、下降、再上升趋势,相较于2001—2010年,2010—2020年波动有所放缓;空间上,EEQ总体质量一般,呈“东南高,西北低”的格局,2010—2020年相较于2001—2010年而言,显著增加的区域由东南部向中北部区域转移,显著下降的区域由西北部向东部转移。②降水量对EEQ整体呈正面效应,在2001—2007年期间呈现显著的正相关关系,后期由于其他因素的干扰驱动力有所下降,在植被覆盖较少的区域则影响较小;气温在大部分区域与EEQ呈负相关,相较于降水量而言影响较小,在城市密集地区影响较大。③研究时段内,大量的耕地向草地,草地向林地及未利用地向草地的转移是研究区内EEQ呈稳中向好格局的主要驱动力,而耕地向建设用地,草地向未利用地的转移是引起EEQ下降的重要因素。[结论] 黄土高原的EEQ受到气候及土地利用的双重影响。降水对EEQ的影响大于温度,土地利用转变对于EEQ整体呈现正面效应,具有空间异质性,对区域内城市群区域生态保护应予以重视。
[Objective] The spatial and temporal changes of ecological environmental quality (EEQ) in response to climate and land use changes on the Loess Plateau were analyzed in order to provide a basis for the formulation of reasonable ecological protection measures and land development on the Loess Plateau that will promote high-quality development.[Methods] Based on an improved remote sensing ecological environmental index and climate and land use data
we determined the spatial and temporal characteristics of EEQ on the Loess Plateau from 2001 to 2020 using Theil-Sen trend analysis at the image pixel scale.[Results] ① During the study period
EEQ values on the Loess Plateau showed small fluctuations of rising
falling
and rising
and the fluctuations slowed down from 2010 to 2020 compared with the time period of 2001 to 2010. EEQ values generally showed a spatial pattern of "higher in the southeast and lower in the northwest". Compared with the period from 2001 to 2010
the period of 2010 to 2020 exhibited an area of significant increase in EEQ that shifted from the southeast to the north-central region
and an area of significant decrease in EEQ that shifted from the northwest to the east. ② Precipitation had an overall positive effect on EEQ
with a significant positive correlation from 2001 to 2007. Due to the interference of other factors in the later period
the driving force increased
and the influence was small in areas with less vegetation coverage. Temperature had a negative effect on EEQ in most areas
with less effect compared with precipitation
and greater effect in dense urban areas. ③ During the study period
large transfers of cropland to grassland
grassland to woodland
and unused land to grassland were the main driving forces for the steady to good pattern of EEQ in the study area
while the transfer of cropland to construction land and of grassland to unused land were important factors causing the decline of EEQ.[Conclusion] EEQ on the Loess Plateau was influenced by both climate and land use. The influence of precipitation on EEQ was greater than that of temperature
and land use shifts generally showed positive effects on EEQ but with spatial heterogeneity. Greater attention should be given to regional ecological conservation in urban clusters within the region in the future.
刘小燕,崔耀平,董金玮,等.黄河中下游影响区生态空间和生态指数变化评估[J].生态学报,2021,41(20):8030-8039.
宋美杰,罗艳云,段利民.基于改进遥感生态指数模型的锡林郭勒草原生态环境评价[J].干旱区研究,2019,36(6):1521-1527.
Vitousek P M. Beyond global warming:Ecology and global change[J]. Ecology, 1994,75(7):1861-1876.
Liu Yan, Huang Xianjin, Yang Hong, et al. Environmental effects of land-use/cover change caused by urbanization and policies in Southwest China karst area:A case study of Guiyang[J]. Habitat International, 2014,44:339-348.
李冠稳,高晓奇,肖能文.基于关键指标的黄河流域近20年生态系统质量的时空变化[J].环境科学研究,2021,34(12):2945-2953.
陈万旭,李江风,曾杰,等.中国土地利用变化生态环境效应的空间分异性与形成机理[J].地理研究,2019,38(9):2173-2187.
金钊.黄土高原沟道治理:几百年来与洪水和泥沙的斗争[J].地球环境学报,2020,11(5):574-582.
王凯利,王志慧,肖培青,等.气候与下垫面变化对黄土高原蒸散发变化的影响评估[J].水土保持学报,2022,36(3):166-172.
毛盛林,上官周平.近20年黄土高原土地利用/植被覆盖变化特征及其成因[J].水土保持研究,2022,29(5):213-219.
徐涵秋.城市遥感生态指数的创建及其应用[J].生态学报,2013,33(24):7853-7862.
杭鑫,罗晓春,曹云,等.基于RSEI模型的生态质量评估及城镇化影响:以南京市为例[J].应用生态学报,2020,31(1):219-229.
李红星,黄解军,梁友嘉,等.基于遥感生态指数的武汉市生态环境质量评估[J].云南大学学报(自然科学版),2020,42(1):81-90.
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.
文超,詹庆明,樊智宇,等.1979-2019年武汉市重点水体多要素协同的时空演变特征[J].地球信息科学学报,2021,23(11):2055-2072.
胡思汉,姚玉增,付建飞,等.基于RSEI指数的东北矿区生态质量变化评价:以辽宁弓长岭区为例[J].生态学杂志,2021,40(12):4053-4060.
杨凤海,宋佳佳,赵烨荣,等.东北黑土水土流失区生态环境遥感动态监测[J].环境科学研究,2018,31(9):1580-1587.
李婷婷,马超,郭增长.基于RSEI模型的贺兰山长时序生态质量评价及影响因素分析[J].生态学杂志,2021,40(4):1154-1165.
排日海·合力力,昝梅,阿里木江·卡斯木.乌鲁木齐市生态环境遥感评价及驱动因子分析[J].干旱区研究,2021,38(5):1484-1496.
杜高奇,李自强,赵勇,等.基于RSEI的黄河流域生态环境质量监测与驱动因素分析[J].水利水电技术(中英文),2022,53(12):81-93.
杨泽康,田佳,李万源,等.黄河流域生态环境质量时空格局与演变趋势[J].生态学报,2021,41(19):7627-7636.
宋珂,王玉军,李胤.1999-2020年长江经济带(江苏段)生态环境变化监测及人类活动驱动分析[J].测绘通报,2021(2):7-12.
何盈利,尤南山,崔耀平,等.2000年来中国生态状况时空变化格局[J].自然资源学报,2021,36(5):1176-1185.
Liao Weihua, Jiang Weiguo. Evaluation of the spatiotemporal variations in the eco-environmental quality in China based on the remote sensing ecological index[J]. Remote Sensing, 2020,12(15):2462.
王杰,马佳丽,解斐斐,等.干旱地区遥感生态指数的改进:以乌兰布和沙漠为例[J].应用生态学报,2020,31(11):3795-3804.
朱冬雨,陈涛,牛瑞卿,等.利用移动窗口遥感生态指数分析矿区生态环境[J].武汉大学学报(信息科学版),2021,46(3):341-347.
付杰,王萍,张清,等.基于改进遥感生态指数的海南岛生态环境质量动态变化[J].农业资源与环境学报,2021,38(6):1102-1111.
张睿,刘修国,徐栋等.2001-2019年洞庭湖流域生态环境质量时空变化及其影响因素[J].测绘通报,2023,551(02):1-8.
Xu Dong, Yang Feng, Yu Le, et al. Quantization of the coupling mechanism between eco-environmental quality and urbanization from multisource remote sensing data[J]. Journal of Cleaner Production, 2021,321:128948.
耿静,徐栋,吴御豪,等.海南岛生态环境质量时空变化及其对气候变化与人类活动的响应[J].生态学报,2022,42(12):4795-4806.
Liu Yu, Miao Haitao, Huang Ze, et al. Soil water depletion patterns of artificial forest species and ages on the Loess Plateau (China)[J]. Forest Ecology and Management, 2018,417:137-143.
张家政,李崇贵,王涛.黄土高原植被覆盖时空变化及原因[J].水土保持研究,2022,29(1):224-230.
张乐艺,李霞,冯京辉,等.2000-2018年黄河流域NDVI时空变化及其对气候和人类活动的双重响应[J].水土保持通报,2021,41(5):276-286.
李晓明,孙从建,孙九林,等.基于遥感信息的黄土高原主要灌溉农业分布区生态安全特征[J].应用生态学报,2021,32(9):3177-3184.
刘荔昀,鲁瑞洁,丁之勇,等.黄土高原气候变化特征及原因分析[J].地球环境学报,2021,12(6):615-631.
Yang Jie, Huang Xin. The 30 m annual land cover dataset and its dynamics in China from 1990 to 2019[J]. Earth System Science Data, 2021,13(8):3907-3925.
Gao Xiang, Huang Xingxing, Lo K, et al. Vegetation responses to climate change in the Qilian Mountain Nature Reserve, Northwest China[J]. Global Ecology and Conservation, 2021,28:e01698.
Li Yi, Yao Ning, Chau H W. Influences of removing linear and nonlinear trends from climatic variables on temporal variations of annual reference crop evapotranspiration in Xinjiang, China[J]. Science of the Total Environment, 2017,592:680-692.
Yin Lichang, Wang Xiaofeng, Feng Xiaoming, et al. A comparison of SSEBop-model-based evapotranspiration with eight evapotranspiration products in the Yellow River Basin, China[J]. Remote Sensing, 2020,12:2528.
徐国印,王忠静,胡智丹,等.柴达木盆地土地利用/覆被综合指数评价[J].水力发电学报,2019,38(9):44-55.
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.
吕一河,高光耀,罗毅,等.黄土高原区域生态综合研究:机理深化与方法拓展[J].生态学报,2016,36(22):7069-7073.
0
浏览量
589
下载量
2
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621