Li Hui,Zhang Shaowei,Zhao Yang.Spatiotemporal Evolution Pattern of Ecological Quality of the Loess Plateau and Its Driving Factors[J].Research of Soil and Water Conservation,2024,31(04):233-240.[doi:10.13869/j.cnki.rswc.2024.04.025]
黄河流域黄土高原生态质量时空演变格局及其驱动因素
- Title:
- Spatiotemporal Evolution Pattern of Ecological Quality of the Loess Plateau and Its Driving Factors
- 文章编号:
- 1005-3409(2024)04-0233-08
- Keywords:
- ecological quality; spatiotemporal evolution; driving forces; ridge regression; Loess Plateau of the Yellow River Basin
- 分类号:
- X821
- 文献标志码:
- A
- 摘要:
- [目的]量化分析自然与社会经济因素对黄河流域黄土高原生态质量格局演变的影响,为进一步提升黄河流域生态质量,促进区域生态可持续发展提供理论支撑。[方法]基于DPSIR模型框架,从社会经济状况、自然环境与生态治理方面选取14项指标,构建生态质量综合评价指标体系,采用层次分析法确定指标权重,采用加权平均法计算生态质量综合评价指数; 构建岭回归模型,分析了其变化的驱动因子。[结果]黄河流域黄土高原生态质量具有明显时空异质性; 生态质量较高区域集中分布在中游地区,较低区域集中分布在上游地区,整体呈“东南高、西北低”的空间格局; 生态质量评估为中及以上水平区域面积占比由2000年的40.56%上升至2020年的70.36%; 20年间生态质量提升的区域面积占研究区总面积的94.44%,提升的区县数量占总区县数的91.57%; 岭回归模型可以解释生态质量99.4%的变异,植被覆盖度和年降水量对生态质量变化的相对贡献率较高。[结论]黄河流域黄土高原生态质量呈提升趋势,其时空分布格局主要受植被覆盖度和年降水量的驱动。建议在科学、合理增加植被覆盖度的基础上,进一步优化生态系统空间格局。
- Abstract:
- [Objective]This research aims to explore the temporal and spatial status of the ecological quality evolution and the main driving factors of its evolution in the Loess Plateau, and to provide the theoretical basis for the improvement of regional ecological quality and sustainable development in the Yellow River Basin. [Methods]Based on the ‘Driving Force-Pressure-State-Impact-Response'(DPSIR)model, 14 indexes reflecting the social and economic situations, natural environment and ecological governance were selected to build the comprehensive evaluation index system. The weight of each index was defined by the analytical hierarchy process(AHP), and the comprehensive evaluation indexes were calculated by the weighted average. The Ridge Regression Model was used to quantitively assess the driving factors of the ecological quality evolution. [Results]The ecological quality of the Loess Plateau in the Yellow River Basin exhibited a distinctive spatiotemporal heterogeneity, with the high-quality areas concentrating in the midstream and low-quality areas in the upstream, showing the unique spatial pattern of ‘high-quality in the southeast and low-quality in the northwest'. The medium-quality areas and above increased from 40.56% in 2000 to 70.36% in 2020. The ecologically improved areas in the past 2 decades took up 94.44% of the total research area, and the ecologically improved counties accounted for 91.57% of the total counties. The Ridge Regression Model explained 99.4% of the ecological evolution, demonstrating the relatively higher contributions from the vegetative cover and the annual precipitation to such evolution. [Conclusion]The ecological quality in the Loess Plateau was improved, and the spatiotemporal evolution of ecological quality was mainly driven by vegetative cover and annual precipitation. It is recommended that the spatial pattern of ecosystems is further optimized on the basis of a scientific and rational increase in vegetation cover.
参考文献/References:
[1]Fu B J, Wang S, Liu Y, et al. Hydrogeomorphic ecosystem responses to natural and anthropogenic changes in the Loess Plateau of China[J]. Annual Review of Earth and Planetary Sciences, 2017,45:223-243.
[2]董锁成,吴玉萍,王海英.黄土高原生态脆弱贫困区生态经济发展模式研究:以甘肃省定西地区为例[J].地理研究,2003,22(5):590-600.
Dong S C, Wu Y P, Wang H Y. A study on the eco-economic development model in the ecoenvironmental vulnerable and needy region on Loess Plateau:The case of Dingxi Prefecture in Gansu Province[J]. Geographical Research, 2003,22(5):590-600.
[3]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.
Yang Z K, Tian J, Li W Y, et al. Spatio-temporal pattern and evolution trend of ecological environment quality in the Yellow River Basin[J]. Acta Ecologica Sinica, 2021,41(19):7627-7636.
[4]张笑培.黄土高原丘陵沟壑区植被恢复生态效应研究[D].陕西杨凌:西北农林科技大学,2008.
Zhang X P. Research on the Ecological Effects of Vegetation Restoration in Hilly and Gully Regions of Loess Plateau [D].Yangling, Shaanxi:Northwest A&F University, 2008.
[5]张佰发,苗长虹.黄河流域土地利用时空格局演变及驱动力[J].资源科学,2020,42(3):460-473.
Zhang B F, Miao C H. Spatiotemporal changes and driving forces of land use in the Yellow River Basin[J]. Resources Science, 2020,42(3):460-473.
[6]信忠保,许炯心,余新晓.近50年黄土高原水土流失的时空变化[J].生态学报,2009,29(3):1129-1139.
Xin Z B, Xu J X, Yu X X. Temporal and spatial variability of sediment yield on the Loess Plateau in the past 50 years[J]. Acta Ecologica Sinica, 2009,29(3):1129-1139.
[7]李元征,冯智志,李立,等.基于GIS的黄河流域陆地生态系统生态敏感性评价[J].环境科学与技术,2021,44(4):219-225.
Li Y Z, Feng Z Z, Li L, et al. Assessment of ecological sensitivity of terrestrial ecosystem in the Yellow River Basin based on GIS[J]. Environmental Science & Technology, 2021,44(4):219-225.
[8]杨雯娜,周亮,孙东琪.基于分区-集成的黄河流域生态脆弱性评价[J].自然资源遥感,2021,33(3):211-218.
Yang W N, Zhou L, Sun D Q. Ecological vulnerability assessment of the Yellow River basin based on partition-integration concept[J]. Remote Sensing for Natural Resources, 2021,33(3):211-218.
[9]李帆,贾夏,赵永华,等.基于DPSIR模型的黄土高原生态敏感性演变格局及驱动力分析[J].农业工程学报,2023,39(9):241-251,303.
Li F, Jia X, Zhao Y H, et al. Evolutionary pattern and driving forces of ecological sensitivity in the Loess Plateau using DPSIR model[J]. Transactions of the Chinese Society of Agricultural Engineering, 2023,39(9):241-251,303.
[10]王芳,李文慧,林妍敏,等.1990—2020年黄河流域典型生态区生态环境质量时空格局及驱动力分析[J].环境科学,2023,44(5):2518-2527.
Wang F, Li W H, Lin Y M, et al. Spatiotemporal pattern and driving force analysis of ecological environmental quality in typical ecological areas of the Yellow River Basin from 1990 to 2020[J]. Environmental Science, 2023,44(5):2518-2527.
[11]刘畅,王冬梦,冯艳,等.基于DPSIR模型的郑州市黄河南岸生态安全时序评价[J].河南农业大学学报,2021,55(5):945-953.
Liu C, Wang D M, Feng Y, et al. A time-series evaluation of ecological safety of the south bank of the Yellow River in Zhengzhou based on the DPSIR model[J]. Journal of Henan Agricultural University, 2021,55(5):945-953.
[12]Wang Q S, Yuan X L, Zhang J, et al. Key evaluation framework for the impacts of urbanization on air environment:A case study[J]. Ecological Indicators, 2013,24:266-272.
[13]Levrel H, Kerbiriou C, Couvet D, et al. OECD pressure-state-response indicators for managing biodiversity:A realistic perspective for a French biosphere reserve[J]. Biodiversity and Conservation, 2009,18(7):1719-1732.
[14]肖书文,詹晨,王梦桥,等.国家公园资源利用体系优化策略:以海南热带雨林国家公园霸王岭片区为例[J].北京林业大学学报:社会科学版,2021,20(2):35-43.
Xiao S W, Zhan C, Wang M Q, et al. The optimization strategy of resources utilization system of national parks:Taking the Bawangling zone of the Hainan tropical rainforest national park as an example[J]. Journal of Beijing Forestry University:Social Sciences, 2021,20(2):35-43.
[15]王彬屹,许大为.基于城市道路的游憩型绿道选线适宜性评价:以吉首市老城区为例[J].吉首大学学报:自然科学版,2020,41(3):90-96.
Wang B Y, Xu D W. Evaluation of the suitability of recreational greenway selection based on urban road:Case study of Jishou old city[J]. Journal of Jishou University:Natural Sciences Edition, 2020,41(3):90-96.
[16]汲玉河,周广胜,王树东,等.2000—2019年秦岭地区植被生态质量演变特征及驱动力分析[J].植物生态学报,2021,45(6):617-625.
Ji Y H, Zhou G S, Wang S D, et al. Evolution characteristics and its driving forces analysis of vegetation ecological quality in Qinling Mountains region from 2000 to 2019[J]. Chinese Journal of Plant Ecology, 2021,45(6):617-625.
[17]王旭熙,彭立,苏春江,等.泸县低丘缓坡区域土地利用景观生态质量评价[J].四川农业大学学报,2015,33(4):399-407.
Wang X X, Peng L, Su C J, et al. Evaluation of landscape ecological quality of land use of gentle hillside in Lu County[J]. Journal of Sichuan Agricultural University, 2015,33(4):399-407.
[18]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.
Li T T, Ma C, Guo Z C. Ecological quality evaluation and influencing factors analysis of Helan Mountain based on RSEI[J]. Chinese Journal of Ecology, 2021,40(4):1154-1165.
[19]杨天垚,邱建秀,肖国安.华北农业干旱监测与冬小麦估产研究[J].生态学报,2023,43(5):1936-1947.
Yang T Y, Qiu J X, Xiao G A. Agricultural drought monitoring and winter wheat yield estimation in North China[J]. Acta Ecologica Sinica, 2023,43(5):1936-1947.
[20]Xie S D, Mo X G, Hu S, et al. Contributions of climate change, elevated atmospheric CO2 and human activities to ET and GPP trends in the Three-North Region of China[J]. Agricultural and Forest Meteorology, 2020,295:108183.
[21]林楠,姜然哲,刘强,等.近20年三江平原地表蒸散发时空特征及驱动因素分析[J].中国地质,2021,48(5):1392-1407.
Lin N, Jiang R Z, Liu Q, et al. Spatiotemporal characteristics and driving factors of surface evapotranspiration in Sanjiang Plain in recent 20 years[J]. Geology in China, 2021,48(5):1392-1407.
[22]谭克龙,任志远,王全九.黄河中上游流域生态综合评价研究[J].水土保持学报,2007,21(4):173-176.
Tan K L, Ren Z Y, Wang Q J. Synthetical evaluation research of ecological environment in middle and upper reach of Yellow River drainage basin[J]. Journal of Soil and Water Conservation, 2007,21(4):173-176.
[23]Fu B J, Liu Y, Lü Y H, et al. Assessing the soil erosion control service of ecosystems change in the Loess Plateau of China[J]. Ecological Complexity, 2011,8(4):284-293.
[24]Luo Y, Lü Y H, Fu B J, et al. Half century change of interactions among ecosystem services driven by ecological restoration:Quantification and policy implications at a watershed scale in the Chinese Loess Plateau[J]. The Science of the Total Environment, 2019,651:2546-2557.
[25]Liu Y, Li L H, Chen X, et al. Temporal-spatial variations and influencing factors of vegetation cover in Xinjiang from 1982 to 2013 based on GIMMS-NDVI3g[J]. Global and Planetary Change, 2018,169:145-155.
[26]Yin H, Pflugmacher D, Li A, et al. Land use and land cover change in Inner Mongolia-understanding the effects of China's re-vegetation programs[J]. Remote Sensing of Environment, 2018,204:918-930.
[27]王彦辉,熊伟,于澎涛,等.干旱缺水地区森林植被蒸散耗水研究[J].中国水土保持科学,2006,4(4):19-25,32.
Wang Y H, Xiong W, Yu P T, et al. Study on the evapotranspiration of forest and vegetation in dryland[J]. Science of Soil and Water Conservation, 2006,4(4):19-25,32.
[28]He J, Shi X Y, Fu Y J. Identifying vegetation restoration effectiveness and driving factors on different micro-topographic types of hilly Loess Plateau:From the perspective of ecological resilience[J]. Journal of Environmental Management, 2021,289:112562.
[29]Zhang J J, Gao G Y, Fu B J, et al. Investigation of the relationship between precipitation extremes and sediment discharge production under extensive land cover change in the Chinese Loess Plateau[J]. Geomorphology, 2020,361:107176.
[30]Brandt M, Hiernaux P, Rasmussen K, et al. Assessing woody vegetation trends in Sahelian drylands using MODIS based seasonal metrics[J]. Remote Sensing of Environment, 2016,183:215-225.
[31]Shen Q, Gao G Y, Han F, et al. Quantifying the effects of human activities and climate variability on vegetation cover change in a hyper-arid endorheic basin[J]. Land Degradation & Development, 2018,29(10):3294-3304.
[32]Bier V A, de Souza E G. Interpolation selection index for delineation of thematic maps[J]. Computers and Electronics in Agriculture, 2017,136:202-209.
[33]计伟,刘海江,高吉喜,等.黄河流域生态质量时空变化分析[J].环境科学研究,2021,34(7):1700-1709.
Ji W, Liu H J, Gao J X, et al. Spatial-temporal variations of ecological quality in the Yellow River Basin[J]. Research of Environmental Sciences, 2021,34(7):1700-1709.
相似文献/References:
[1]廖安中,张淑光,邓岚,等.上杨试验区水土保持生态系统中土壤微生物的性态与物质能量的转化[J].水土保持研究,1997,4(03):102.
Liao Anzhong,Zhang Shuguang,Deng Lan,et al.Microbe Forms and Matter-energy Transformation of Soil in the Ecological System of Soil and Water Conservation of Shangyang Experimental Area[J].Research of Soil and Water Conservation,1997,4(04):102.
[2]柴素盈,曹 言,窦小东,等.1964-2017年南盘江流域主要极端气候事件时空演变特征[J].水土保持研究,2020,27(01):151.
CHAI Suying,CAO Yan,DOU Xiaodong,et al.Analysis Temporal and Spatial Changes of Extreme Climatic Events in Nanpan River Basin from 1964 to 2017[J].Research of Soil and Water Conservation,2020,27(04):151.
[3]周 渝,邓 伟,刘 婷,等.重庆都市区生态系统服务价值时空演变及其驱动力[J].水土保持研究,2020,27(01):249.
ZHOU Yu,DENG Wei,LIU Ting,et al.Spatio-temporal Evolution and Driving Force of Ecosystem Service Value in Chongqing Metropolitan Area[J].Research of Soil and Water Conservation,2020,27(04):249.
[4]全江涛,杨永芳,周嘉昕.河南省土地资源承载力时空演变分析与预测[J].水土保持研究,2020,27(02):315.
QUAN Jiangtao,YANG Yongfang,ZHOU Jiaxin.Analysis and Prediction of Spatial and Temporal Evolution of Land Resource Carrying Capacity in Henan Province[J].Research of Soil and Water Conservation,2020,27(04):315.
[5]龚亚男,韩书成,时晓标,等.广东省“三生空间”用地转型的时空演变及其生态环境效应[J].水土保持研究,2020,27(03):203.
GONG Yanan,HAN Shucheng,SHI Xiaobiao,et al.Temporal and Spatial Evolution and Associated Eco-environment Effects of the Land Use Transformation of Ecological-Production-Living Spaces in Guangdong Province[J].Research of Soil and Water Conservation,2020,27(04):203.
[6]韦宇婵,张丽琴.河南省土地生态安全警情时空演变及障碍因子[J].水土保持研究,2020,27(03):238.
WEI Yuchan,ZHANG Liqin.Spatiotemporal Pattern and Obstacle Factors of Land Eco-Security Early Warning in Henan Province[J].Research of Soil and Water Conservation,2020,27(04):238.
[7]伍宜丹,马 悦,吴浩然,等.基于MODIS-EVI指数的四川省植被指数时空演变特征及驱动力[J].水土保持研究,2020,27(05):230.
WU Yidan,MA Yue,WU Haoran,et al.Characteristics of Temporal and Spatial Evolution and Driving Forces of Vegetation Index in Sichuan Based on MODIS-EVI[J].Research of Soil and Water Conservation,2020,27(04):230.
[8]张志高,耿益新,蔡茂堂,等.1978-2017年河南省气候生产潜力时空演变及趋势分析[J].水土保持研究,2020,27(06):247.
ZHANG Zhigao,GENG Yixin,CAI Maotang,et al.Spatial-Temporal Evolution and Trend Analysis of Climatic Potential Productivity in Henan Province During 1978-2017[J].Research of Soil and Water Conservation,2020,27(04):247.
[9]李胜鹏,柳建玲,林 津,等.基于土地利用情景的福建省生态经济系统协调度时空演变模拟[J].水土保持研究,2021,28(01):234.
LI Shengpeng,LIU Jianling,LIN Jin,et al.Spatial and Temporal Evolution Simulation of Eco-economic System Coordination in Fujian Province Under Land Use Scenarios[J].Research of Soil and Water Conservation,2021,28(04):234.
[10]叶 强,潘若莼,赵 垚.土地用途管制下长株潭生态绿心地区乡村聚落时空演变特征[J].水土保持研究,2021,28(02):285.
YE Qiang,PAN Ruochun,ZHAO Yao.Analysis on the Characteristics of Temporal and Spatial Evolution of Rural Settlements in Changzhutan Ecological ‘Green Heart' Under Land-Use Regulation[J].Research of Soil and Water Conservation,2021,28(04):285.
备注/Memo
收稿日期:2023-11-02 修回日期:2023-11-24
资助项目:中国林业科学研究院基本科研业务费专项资金资助“黄河滩区农田转经济林地的生态补偿标准研究:以河南段为例”(CAFYBB2020MC005)
第一作者:李慧(1991—),女,河南郑州人,硕士,助理研究员,主要从事生态系统服务研究。E-mail:lihui09610@163.com
通信作者:赵阳(1987—),男,河南周口人,博士,副研究员,主要从事区域生态学研究。E-mail:zhaoyang301@caf.ac.cn