Simulation of Landscape Ecological Risk Change in Hanjiang River Basin under SSP-RCP Scenarios

WU Qi-liang, ZHENG Hang , LIU Yue-yi, CHEN Jin

Journal of Changjiang River Scientific Research Institute ›› 2024, Vol. 41 ›› Issue (4) : 78-88.

PDF(2056 KB)
PDF(2056 KB)
Journal of Changjiang River Scientific Research Institute ›› 2024, Vol. 41 ›› Issue (4) : 78-88. DOI: 10.11988/ckyyb.20221560
Soil And Water Conservation And Ecological Restoration

Simulation of Landscape Ecological Risk Change in Hanjiang River Basin under SSP-RCP Scenarios

  • WU Qi-liang1, ZHENG Hang1 , LIU Yue-yi1, CHEN Jin2
Author information +
History +

Abstract

Landscape ecological risk assessment plays a vital role in identifying vulnerable ecosystem areas for targeted management. While current methods primarily rely on land-use change data for ecological risk analysis, they often lack a comprehensive evaluation of multiple factors, especially the prediction of landscape ecological risk dynamics under climate change scenarios integrating climate variations and socio-economic trends. To tackle this issue, we constructed a predictive model for ecological landscape risk influenced by diverse factors by integrating traditional landscape ecological risk assessment models with deep learning technique, and further applied this model to simulating the change in landscape ecological risks of Hanjiang River Basin. Findings reveal that: 1) during the baseline period (2000-2015), higher ecological risk levels predominantly clustered in the downstream of Danjiangkou reservoir; 2) both SSP370 and SSP585 scenarios exhibited elevated ecological risk levels, particularly concentrated in the downstream of Danjiangkou; 3) the high ecological risk area in Hanjiang River basin significantly expanded under the 2042 scenario for SSP370 and SSP585, with an average increase of 14.58% per decade under the SSP370 scenario. The proposed landscape ecological risk prediction approach in consideration of multiple factors serves as a valuable reference for ecological risk assessment in the basin under changing climatic conditions and the formulation of ecological compensation policies.

Key words

climate change / landscape ecological risk / deep learning / SSP-RCP / Hanjiang River Basin

Cite this article

Download Citations
WU Qi-liang, ZHENG Hang , LIU Yue-yi, CHEN Jin. Simulation of Landscape Ecological Risk Change in Hanjiang River Basin under SSP-RCP Scenarios[J]. Journal of Changjiang River Scientific Research Institute. 2024, 41(4): 78-88 https://doi.org/10.11988/ckyyb.20221560

References

[1] 於 琍, 曹明奎, 李克让. 全球气候变化背景下生态系统的脆弱性评价[J]. 地理科学进展, 2005, 24(1): 61-69. (YU Li, CAO Ming-kui, LI Ke-rang. An Overview of Assessment of Ecosystem Vulnerability to Climate Change[J]. Progress in Geography, 2005, 24(1): 61-69.(in Chinese))
[2] 李克让, 曹明奎, 於 琍, 等. 中国自然生态系统对气候变化的脆弱性评估[J]. 地理研究, 2005, 24(5): 653-663. (LI Ke-rang, CAO Ming-kui, YU Li, et al. Assessment of Vulnerability of Natural Ecosystems in China under the Changing Climate[J]. Geographical Research, 2005, 24(5): 653-663.(in Chinese))
[3] 康 鹏, 陈卫平, 王美娥. 基于生态系统服务的生态风险评价研究进展[J]. 生态学报, 2016, 36(5): 1192-1203. (KANG Peng, CHEN Wei-ping, WANG Mei-e. Advancesin Ecosystem Service-based Ecological Risk Assessment[J]. Acta Ecologica Sinica, 2016, 36(5): 1192-1203.(in Chinese))
[4] 付在毅, 许学工. 区域生态风险评价[J]. 地球科学进展, 2001, 16(2): 267-271. (FU Zai-yi, XU Xue-gong. Regional Ecological Risk Assessment[J]. Advance in Earth Sciences, 2001, 16(2): 267-271.(in Chinese))
[5] 阳文锐,王如松,黄锦楼,等.生态风险评价及研究进展[J].应用生态学报,2007,18(8):1869-1876.(YANG Wen-rui,WANG Ru-song,HUANG Jin-lou,et al. Ecological Risk Assessment and Its Research Progress[J].Chinese Journal of Applied Ecology,2007,18(8):1869-1876.(in Chinese))
[6] 周 婷, 蒙吉军. 区域生态风险评价方法研究进展[J]. 生态学杂志, 2009, 28(4): 762-767. (ZHOU Ting, MENG Ji-jun. Research Progress in Regional Ecological Risk Assessment Methods[J]. Chinese Journal of Ecology, 2009, 28(4): 762-767.(in Chinese))
[7] 彭 建,党威雄,刘焱序,等.景观生态风险评价研究进展与展望[J].地理学报,2015,70(4):664-677.(PENG Jian,DANG Wei-xiong,LIU Yan-xu,et al.Review on Landscape Ecological Risk Assessment[J].Acta Geographica Sinica,2015,70(4):664-677.(in Chinese))
[8] 陈 鹏, 潘晓玲. 干旱区内陆流域区域景观生态风险分析: 以阜康三工河流域为例[J]. 生态学杂志, 2003, 22(4): 116-120. (CHEN Peng, PAN Xiao-ling. Ecological Risk Analysis of Regional Landscape in Inland River Watershed of Arid Area—A Case Study of Sangong River Basin in Fukang[J]. Chinese Journal of Ecology, 2003, 22(4): 116-120.(in Chinese))
[9] 卢宾宾, 葛 咏, 秦 昆, 等. 地理加权回归分析技术综述[J]. 武汉大学学报(信息科学版), 2020, 45(9): 1356-1366. (LU Bin-bin, GE Yong, QIN Kun, et al. A Review on Geographically Weighted Regression[J]. Geomatics and Information Science of Wuhan University, 2020, 45(9): 1356-1366.(in Chinese))
[10] 杨国清, 刘耀林, 吴志峰. 基于CA-Markov模型的土地利用格局变化研究[J]. 武汉大学学报(信息科学版), 2007, 32(5): 414-418. (YANG Guo-qing, LIU Yao-lin, WU Zhi-feng. Analysis and Simulation of Land-use Temporal and Spatial Pattern Based on CA-Markov Model[J]. Geomatics and Information Science of Wuhan University, 2007, 32(5): 414-418.(in Chinese))
[11] LIU X, LIANG X, LI X, et al. A Future Land Use Simulation Model (FLUS) for Simulating Multiple Land Use Scenarios by Coupling Human and Natural Effects[J]. Landscape and Urban Planning, 2017, 168: 94-116.
[12] 蔡玉梅,刘彦随,宇振荣,等.土地利用变化空间模拟的进展: CLUE-S模型及其应用[J]. 地理科学进展,2004,23(4):63-71,115.(CAI Yu-mei,LIU Yan-shui,YU Zhen-rong,et al. Progress in Spatial Simulation of Land Use Change—CLUE-S Model and Its Application[J]. Progress in Geography,2004,23(4):63-71,115.(in Chinese))
[13] 张师赫,李宝银,林玉英,等.基于生态系统服务的景观生态风险评价及其驱动因素研究:以福建省为例[J].水土保持研究,2022,29(6):174-182.(ZHANG Shi-he,LI Bao-yin,LIN Yu-ying,et al. Research on Landscape Ecological Risk Assessment and Driving Factors Based on Ecosystem Services—A Case Study of Fujian Province[J]. Research of Soil and Water Conservation, 2022, 29(6): 174-182.(in Chinese))
[14] 李志明, 宋 戈, 鲁 帅, 等. 基于CA-Markov模型的哈尔滨市土地利用变化预测研究[J]. 中国农业资源与区划, 2017, 38(12): 41-48. (LI Zhi-ming, SONG Ge, LU Shuai, et al. Change and Prediction of the Land Use in Harbin City Based on CA-markov Model[J]. Chinese Journal of Agricultural Resources and Regional Planning, 2017, 38(12): 41-48.(in Chinese))
[15] 周天军,邹立维,陈晓龙.第六次国际耦合模式比较计划(CMIP6)评述[J].气候变化研究进展,2019,15(5):445-456.(ZHOU Tian-jun,ZOU Li-wei,CHEN Xiao-long.Commentary on the Coupled Model Intercomparison Project Phase 6 (CMIP6)[J]. Climate Change Research, 2019, 15(5): 445-456.(in Chinese))
[16] 曹丽格,方 玉,姜 彤,等.IPCC影响评估中的社会经济新情景(SSPs)进展[J].气候变化研究进展,2012,8(1):74-78.(CAO Li-ge,FANG Yu,JIANG Tong,et al.Advances in Shared Socio-economic Pathways for Climate Change Research and Assessment[J]. Progressus Inquisitiones de Mutatione Climatis, 2012, 8(1): 74-78.(in Chinese))
[17] VAN VUUREN D P, RIAHI K, MOSS R, et al. A Proposal for a New Scenario Framework to Support Research and Assessment in Different Climate Research Communities[J]. Global Environmental Change, 2012, 22(1): 21-35.
[18] LIAO W, LIU X, XU X, et al. Projections of Land Use Changes under the Plant Functional Type Classification in Different SSP-RCP Scenarios in China[J]. Science Bulletin, 2020, 65(22): 1935-1947.
[19] 邓兆仁. 汉江流域水文地理[J]. 华中师院学报(自然科学版), 1981, 15(4): 113-121. (DENG Zhao-ren. Hydrogeology of Hanjiang River Basin[J]. Journal of Central China Normal University (Natural Sciences), 1981, 15(4): 113-121.(in Chinese))
[20] 王仰麟. 景观生态系统及其要素的理论分析[J]. 人文地理, 1997, 12(1): 5-9. (WANG Yang-lin. Theoretical Analysis of Landscape Ecosystem and Its Elements[J]. Human Geography, 1997, 12(1): 5-9.(in Chinese))
[21] 姜 彤, 苏布达, 王艳君, 等. 共享社会经济路径(SSPs)人口和经济格点化数据集[J]. 气候变化研究进展, 2022, 18(3): 381-383. (JIANG Tong, SU Bu-da, WANG Yan-jun, et al. Gridded Datasets for Population and Economy under Shared Socioeconomic Pathways for 2020-2100[J]. Climate Change Research, 2022, 18(3): 381-383.(in Chinese))
[22] 李谢辉, 李景宜. 基于GIS的区域景观生态风险分析: 以渭河下游河流沿线区域为例[J]. 干旱区研究, 2008, 25(6): 899-903. (LI Xie-hui, LI Jing-yi. Analysis on Regional Landscape Ecological Risk Based on GIS—A Case Study along the Lower Reaches of the Weihe River[J]. Arid Zone Research, 2008, 25(6): 899-903.(in Chinese))
[23] 许 妍,高俊峰,高永年.基于土地利用动态变化的太湖地区景观生态风险评价[J].湖泊科学,2011,23(4):642-648.(XU Yan,GAO Jun-feng,GAO Yong-nian.Landscape Ecological Risk Assessment in the Taihu Region Based on Land Use Change[J]. Journal of Lake Sciences, 2011, 23(4): 642-648.(in Chinese))
[24] 巩 杰, 谢余初, 赵彩霞, 等. 甘肃白龙江流域景观生态风险评价及其时空分异[J]. 中国环境科学, 2014, 34(8): 2153-2160. (GONG Jie, XIE Yu-chu, ZHAO Cai-xia, et al. Landscape Ecological Risk Assessment and Its Spatiotemporal Variation of the Bailongjiang Watershed, Gansu[J]. China Environmental Science, 2014, 34(8): 2153-2160.(in Chinese))
[25] 刘春艳, 张 科, 刘吉平. 1976—2013年三江平原景观生态风险变化及驱动力[J]. 生态学报, 2018, 38(11): 3729-3740. (LIU Chun-yan, ZHANG Ke, LIU Ji-ping. A Long-term Site Study for the Ecological Risk Migration of Landscapes and Its Driving Forces in the Sanjiang Plain from 1976 to 2013[J]. Acta Ecologica Sinica, 2018, 38(11): 3729-3740.(in Chinese))
[26] 张学斌, 石培基, 罗 君, 等. 基于景观格局的干旱内陆河流域生态风险分析: 以石羊河流域为例[J]. 自然资源学报, 2014, 29(3): 410-419. (ZHANG Xue-bin, SHI Pei-ji, LUO Jun, et al. The Ecological Risk Assessment of Arid Inland River Basin at the Landscape Scale: A Case Study on Shiyang River Basin[J]. Journal of Natural Resources, 2014, 29(3): 410-419.(in Chinese))
[27] 张丽霞,陈晓龙,辛晓歌.CMIP6情景模式比较计划(ScenarioMIP)概况与评述[J].气候变化研究进展,2019,15(5):519-525.(ZHANG Li-xia,CHEN Xiao-long,XIN Xiao-ge.Short Commentary on CMIP6 Scenario Model Intercomparison Project (ScenarioMIP)[J].Climate Change Research,2019,15(5):519-525.(in Chinese))
[28] JU Q, YU Z, HAO Z, et al. Division-based Rainfall-runoff Simulations with BP Neural Networks and Xinanjiang Model[J]. Neurocomputing, 2009, 72(13/14/15): 2873-2883.
[29] 李晓峰,徐玖平,王荫清,等.BP人工神经网络自适应学习算法的建立及其应用[J].系统工程理论与实践,2004,24(5):1-8.(LI Xiao-feng,XU Jiu-ping,WANG Yin-qing,et al. The Establishment of Self-adapting Algorithm of BP Neural Network and Its Application[J]. Systems Engineering-Theory & Practice,2004,24(5):1-8.(in Chinese))
[30] LUNDBERG S M,ERION G,CHEN H,et al.From Local Explanations to Global Understanding with Explainable AI for Trees[J].Nature Machine Intelligence,2020,2(1):56-67.
[31] LUNDBERG S M, LEE S I. A Unified Approach to Interpreting Model Predictions[C]. Doi: 10.48550/arXiv.1705.07874.
[32] FUCHS M, PANINGBATAN A R. Correlation between Shapley Values of Rooted Phylogenetic Trees under the Beta-splitting Model[J]. Journal of Mathematical Biology, 2020, 80(3): 627-653.
[33] ŠTRUMBELJ E,KONONENKO I.Explaining Prediction Models and Individual Predictions with Feature Contributions[J].Knowledge and Information Systems, 2014, 41(3): 647-665.
[34] 吴 英,张万幸,张丽琼,等.基于DEM的地形与植被分布关联分析[J].东北林业大学学报,2012,40(11):96-98.(WU Ying,ZHANG Wan-xing,ZHANG Li-qiong,et al.Analysis of Correlation between Terrain and Forest Spatial Distribution Based on DEM[J]. Journal of Northeast Forestry University, 2012, 40(11): 96-98.(in Chinese))
[35] 王秀兰. 土地利用/土地覆盖变化中的人口因素分析[J]. 资源科学, 2000, 22(3): 39-42. (WANG Xiu-lan. Analysis on Demographic Factors and Land Use/Land Cover Change[J]. Resources Science, 2000, 22(3): 39-42.(in Chinese))
[36] 王万忠. 黄土地区降雨特性与土壤流失关系的研究Ⅲ:关于侵蚀性降雨的标准问题[J].水土保持通报,1984(2):58-63.(WANG Wan-zhong. Relationship between Rainfall Characteristics and Soil Erosion in Loess Area Ⅲ: Criterion of Erosive Rainfall[J]. Bulletin of Soil and Water Conservation,1984(2):58-63.(in Chinese))
[37] 李桂芳, 郑粉莉, 卢 嘉, 等. 降雨和地形因子对黑土坡面土壤侵蚀过程的影响[J]. 农业机械学报, 2015, 46(4): 147-154, 182. (LI Gui-fang, ZHENG Fen-li, LU Jia, et al. Effects of Rainfall and Topography on Soil Erosion Processes of Black Soil Hillslope[J]. Transactions of the Chinese Society for Agricultural Machinery, 2015, 46(4): 147-154, 182.(in Chinese))
[38] 余新晓. 森林植被减弱降雨侵蚀能量的数理分析[J]. 水土保持学报, 1988, 2(2): 24-30. (YU Xin-xiao. Mathematical Analysis of Forest Vegetation Weakening Rainfall Erosion Energy[J]. Journal of Soil and Water Conservation, 1988, 2(2): 24-30.(in Chinese))
[39] 刘 宇. 景观指数耦合景观格局与土壤侵蚀的有效性[J]. 生态学报, 2017, 37(15): 4923-4935. (LIU Yu. Effectiveness of Landscape Metrics in Coupling Soil Erosion with Landscape Pattern[J]. Acta Ecologica Sinica, 2017, 37(15): 4923-4935.(in Chinese))
[40] 殷炳超.气候变化下的闽南地区景观连接度评估与生态廊道构建[D].厦门:厦门大学,2019.(YIN Bing-chao.Evaluation of Landscape Connectivity and Construction of Ecological Corridor in Southern Fujian under Climate Change[D].Xiamen:Xiamen University,2019.(in Chinese))
PDF(2056 KB)

Accesses

Citation

Detail

Sections
Recommended

/