Ecosystem service dynamics in sandy land in Northeast China during the past 30 years
ZHANG Li1, LIU Jiayu2
1. School of Tourism and Geographical Science, Jilin Normal University, 136000, Siping, Jilin, China; 2. Primary School Affiliated to Jilin Normal University, 136000, Siping, Jilin, China
Abstract：[Background] The sandy land in Northeast China (Horqin sandy land, Songnen sandy land and Hulunbuir sandy land) belongs to the transition zone from semi-arid and semi-humid area to semi-arid area. The desertification of sandy land is serious, thus it is urgent to carry out ecosystem services. Revealing the temporal and spatial evolution characteristics of ecosystem services in this region over a long period of time may provide a scientific basis for ecological restoration and soil and water conservation in sandy land.[Methods] Based on the InVEST model and using data such as land use data, vegetation cover, digital elevation models, soil quality, etc., the article evaluated the functions of soil conservation, water conservation, carbon storage and habitat quality of this area from 1990 to 2020.[Results] 1) The total amount of soil conservation in sandy land of Northeast China increased by 1.98×107 t/a, and the high-value areas were concentrated in the southwest of Horqin sandy land, the east and west of Songnen sandy land, and the east of Hulunbuir sandy land. 2) The water conservation showed an overall increasing trend with an increase rate of 2.88×107 mm/a. The high-value areas were concentrated in the southeast of Horqin sandy land, the northeast of Songnen sandy land and the east of Hulunbuir sandy land. 3) The carbon storage increased by 1.60×106 t/a. The high-value areas were mainly distributed in the northeast of Horqin sandy land, the east and west of Songnen sandy land and the east of Hulunbuir sandy land. 4) The average habitat quality index changed little overall and it showed a trend of first increasing and then decreasing, the high-value areas were concentrated in the east and west of Songnen sandy land and the east of Hulunbuir sandy land.[Conculsions] The four major ecosystem service functions of soil conservation, water conservation, carbon storage and habitat quality in sandy land in Northeast China showed an overall increasing trend, and the increasing areas showed a certain spatial aggregation. From 1990 to 2020, the land use types of sandy land in Northeast China were mainly cultivated land, grassland and forest land. The area of cultivated land, construction land, sandy land and other unused land is on the increasing trend, while the area of forest land, grassland and water area is on the decreasing trend. This form of land use change has important implications for the spatiotemporal evolution of ecosystem services.
张丽, 刘佳雨. 近30年东北沙地生态系统服务动态[J]. 中国水土保持科学, 2023, 21(1): 139-148.
ZHANG Li, LIU Jiayu. Ecosystem service dynamics in sandy land in Northeast China during the past 30 years. SSWC, 2023, 21(1): 139-148.
殷楠, 王帅, 刘焱序. 生态系统服务价值评估:研究进展与展望[J]. 生态学杂志, 2021, 40(1):233. YIN Nan, WANG Shuai, LIU Yanxu. Ecosystem services evaluation:progress and prospect of the research[J]. Chinese Journal of Ecology, 2021, 40(1):233.
[2]
谢高地, 张彩霞, 张昌顺,等. 中国生态系统服务的价值[J]. 资源科学, 2015, 37(9):1007. XIE Gaodi, ZHANG Caixia, ZHANG Changshun, et al. The value of ecosystem services in China[J]. Resources Science. 2015, 37(9):1007.
[3]
虞依娜,彭少麟.生态系统服务价值评估的研究进展[J].生态环境学报,2010,19(9):2246. YU Yina, PENG Shaolin. Review on evaluation of ecosystem services[J]. Ecology and Environmental Sciences,2010,19(9):2246.
[4]
陈仲新,张新时.中国生态系统效益的价值[J].科学通报,2000,45(1):17. CHEN Zhongxin, ZHANG Xinshi. Value of ecosystem benefits in China[J]. Chinese Science Bulletin,2000,45(1):17.
[5]
孙莉英,栗清亚,蔡强国,等.水土保持措施生态服务功能研究进展[J].中国水土保持科学,2020,18(2):145. SUN Liying, LI Qingya, CAI Qiangguo, et al. Recent progress on ecosystem services functions of soil and water conservation measures[J]. Science of Soil and Water Conservation,2020,18(2):145.
[6]
刘影,杜小龙,邹萌萌,等.各类生态系统功能与生态服务价值定量评估的理论与方法研究进展[J].天津农业科学,2017,23(11):106. LIU Ying, DU Xiaolong, ZOU Mengmeng, et al. Study on theories and methods of ecosystem functions and ecological services evaluation[J]. Tianjin Agricultural Sciences,2017,23(11):106.
[7]
陈昳.基于InVEST模型的舟山群岛生态系统服务能值研究[D].浙江舟山:浙江海洋大学,2020:20. CHEN Yi. An emergy research on Zhoushan Archipelago ecosystem services based on the InVEST model[D]. Zhoushan, Zhejiang:Zhejiang Ocean University,2020:20.
[8]
贾婉琳,吴赛男,陈昂.基于InVEST模型的赤水河流域生态系统服务功能评估研究[J].中国水利水电科学研究院学报,2020,18(4):313. JIA Wanlin, WU Sainan, CHEN Ang. Research on evaluation of ecosystem services in Chishui river basin based on InVEST[J]. Journal of China Institute of Water Resources and Hydropower Research,2020,18(4):313.
[9]
ABREHAM B A, TOMASZ N, TESHOME S, et al. The InVEST habitat quality model associated with land use/cover changes:A qualitative case study of the winike watershed in the Omo-Gibe basin, southwest Ethiopia[J]. Remote Sensing, 2020,12(7):125.
[10]
BABBAR D, AREENDRAN G, SAHANAM, et al. Assessment and prediction of carbon sequestration using Markov chain and InVEST model in Sariska Tiger Reserve, India[J]. Journal of Cleaner Production,2021(278):123.
[11]
杜会石,哈斯额尔敦,李爽,等.科尔沁沙地风沙与湖泊景观演变及影响因素分析[J].地理科学,2018,38(12):2109. DU Huishi, HASI Eerdun, LI Shuang, et al. Landscape evolution and influence factors of aeolian sand and lakes in Horqin sandy land[J]. Scientia Geographica Sinica,2018,38(12):2109.
[12]
杜会石,王良玉,陈智文,等.1980年以来5个时期松嫩沙地湖泊群分布及其变化研究[J].湿地科学,2018,16(3):352. DU Huishi, WANG Liangyu, CHEN Zhiwen, et al. Distribution of lakes in Songnen sandy land for 5 periods since 1980 and their changes[J]. Wetland Science,2018,16(3):352.
[13]
于娜,赵媛媛,丁国栋,等.基于生态足迹的中国四大沙地地区可持续评价[J].干旱区地理,2018,41(6):1310. YU Na, ZHAO Yuanyuan, DING Guodong, et al. Sustainability assessment in four sandy lands of China based on the ecological footprint model[J]. Arid Land Geography,2018,41(6):1310.
[14]
康璇,王雪梅,柴仲平.近25 a来渭-库绿洲土地利用/覆被变化及其影响因素[J]. 水土保持通报,2016,36(5):333. TANG Xuan, WANG Xuemei, CAI Zhongping. Land use/cover changes and influencing factors in delta oasis of Weigan-kuqa river during last 25 years[J]. Bulletin of Soil and Water Conservation,2016,36(5):333.
[15]
SCHIRPKE U, KOHLER M, LEITINGER G, et al. Future impacts of changing land-use and climate on ecosystem services of mountain grassland and their resilience[J]. Ecosystem Services,2017(26):79.
[16]
陈童尧,贾燕锋,王佳楠,等. 基于InVEST模型的祁连山国家级自然保护区土壤保持现状与功能[J].干旱区研究, 2020,37(1):150. CHEN Tongyao, JIA Yanfeng, WANG Jianan, et al. Current situation and function of soil conservation in national nature reserves in the Qilian mountains based on Invest model[J]. Arid Zone Research, 2020,37(1):150.
[17]
周彬,余新晓,陈丽华,等.基于InVEST模型的北京山区土壤侵蚀模拟[J].水土保持研究,2010,17(6):9. ZHOU Bin, YU Xinxiao, CHEN Lihua, et al. Soil erosion simulation in mountain areas of Beijing based on InVEST model[J]. Research of Soil and Water Conservation,2010,17(6):9.
[18]
史名杰,武红旗,贾宏涛,等.基于MCE-CA-Markov和InVEST模型的伊犁谷地碳储量时空演变及预测[J].农业资源与环境学报,2021,38(6):1010. SHI Mingjie, WU Hongqi, JIA Hongtao, et al. Temporal and spatial evolution and prediction of carbon stocks in Yili Valley based on MCE-CA-Markov and InVEST models[J]. Journal of Agricultural Resources and Environment,2021,38(6):1010.
[19]
刘洋.基于InVEST模型的疏勒河流域生态系统服务功能时空演变[D].兰州:甘肃农业大学,2020:19. LIU Yang. Spatial and temporal evolution of ecosystem services in the Shule River Basin based on InVEST model[D]. Lanzhou:Gansu Agricultural University,2020:19.
[20]
ZHANG Liwei, FU Bojie, LÜ Yihe, et al. Balancing multiple ecosystem services in conservation priority setting[J]. Landscape Ecology,2015(30):535.
[21]
王蓓,赵军,胡秀芳.石羊河流域生态系统服务权衡与协同关系研究[J].生态学报,2018, 38(21):7582. WANG Bei, ZHAO Jun, HU Xiufang. Analysis on trade-offs and synergistic relationships among multiple ecosystem services in the Shiyang River Basin[J]. Acta Ecologica Sinica,2018, 38(21):7582.
[22]
吴一帆,张璇,李冲,等.生态修复措施对流域生态系统服务功能提升的研究:以潮河流域为例[J].生态学报.2020,40(15):5168. WU Yifan, ZHANG Xuan, LI Chong, et al. Improvement of ecosystem service function in watershed by ecological restoration measures:A case study in Chaohe River Basin[J]. Acta Ecologica Sinica,2020,40(15):5168.
[23]
VIGIAK O, BORSELLI L, NEWHAM L, et al. Comparison of conceptual landscape metrics to define hillslope-scale sediment delivery ratio[J]. Geomorphology,2012(138):74.
[24]
ZHOU Wenzuo, LIU Gaohuan, PAN Jianjun, et al. Distribution of available soil water capacity in China[J]. Jourmal of Geographical Sciences,2005,15(1):3.
[25]
LIANG Y J, Hashimoto S, LIU L J. Integrated assessment of land-use/land-cover dynamics on carbon storage services in the Loess Plateau of China from 1995 to 2050[J]. Ecological Indicators, 2021(120):106939.
[26]
梁晓瑶,袁丽华,宁立新,等.基于InVEST模型的黑龙江省生境质量空间格局及其影响因素[J].北京师范大学学报(自然科学版),2020, 56(6):864. LIANG Xiaoyao, YUAN Lihua,NING Lixin, et al. Spatial pattern of habitat quality and driving factors in Heilongjiang province[J]. Journal of Beijing Normal University (Natural Science),2020, 56(6):864.
[27]
SUN Xiao, LU Zhouming, LI Feng, et al. Analyzing spatio-temporal changes and trade-offs to support the supply of multiple ecosystem services in Beijing, China[J]. Ecological Indicators,2018,94(11):117.
[28]
张华,张爱平,杨俊.科尔沁沙地生态系统服务价值变化研究[J].中国人口·资源与环境,2007,17(3):60. ZHANG Hua, ZHANG Aiping, YANG Jun. Effects of land use change on ecosystem service values of Horqin Sandy Land[J]. China Population,Resources and Environment,2007,17(3):60.
[29]
宋洁,温璐,王凤歌,等.乌兰布和沙漠生态系统服务价值时空动态研究[J].生态学报,2021,41(6):2201. SONG Jie, WEN Lu, WANG Fengge, et al. Spatiotemporal dynamics of ecosystem service value in Ulan Buh Desert[J]. Acta Ecologica Sinica,2021,41(6):2201.
[30]
孙兴辉,金良,张文娟.内蒙古土地生态系统服务价值时空变化特征[J].内蒙古财经大学学报,2020,18(6):99. SUN Xinghui, JIN Liang, ZHANG Wenjuan. Temporal and spatial changes of land ecosystem service value in Inner Mongolia[J]. Journal of Inner Mongolia University of Finance and Economics,2020,18(6):99.
[31]
吕荣芳.宁夏沿黄城市带生态系统服务时空权衡关系及其驱动机制研究[D].兰州:兰州大学,2019:45. LÜ Rongfang. Spatial-temporal associations among ecosystem services and their driving mechanisms:A case study in the City Belt along the Yellow River Ningxia[D]. Lanzhou:Lanzhou University,2019:45.
[32]
薛卓彬. 基于InVEST模型的延河流域生态系统服务功能评估[D].西安:西北大学,2017:29. XUE Zhuobin. The assessment of ecosystem services functions in Yanhe River Basin based on the InVEST model[D]. Xi'an:Northwest University,2017:29.
2023, Vol. 21 
