Evaluating the potential impacts of land use changes on ecosystem service value under multiple scenarios in support of SDG reporting: A case study of the Wuhan urban agglomeration

Journal of Cleaner Production - Tập 307 - Trang 127321 - 2021
Kaifeng Peng1, Weiguo Jiang1, Ziyan Ling1,2, Peng Hou3, Yawen Deng1
1Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
2School of Geography and Planning, Nanning Normal University, Nanning 530001, China
3Satellite Environment Centre, Ministry of Ecology and Environment, Beijing, 100094, China

Tài liệu tham khảo

Cochran, 2020, Earth observation-based ecosystem services indicators for national and subnational reporting of the sustainable development goals, Rem. Sens. Environ., 244, 10.1016/j.rse.2020.111796 Costanza, 1997, The value of the world's ecosystem services and natural capital, Nature, 387, 253, 10.1038/387253a0 Dangles, 2019, Ecosystem services provided by insects for achieving sustainable development goals, Ecosyst. Serv., 35, 109, 10.1016/j.ecoser.2018.12.002 Deng, 2017, Spatio-temporal change of lake water extent in Wuhan urban agglomeration based on Landsat images from 1987 to 2015, Rem. Sens., 9, 10.3390/rs9030270 Elmqvist, 2015, Benefits of restoring ecosystem services in urban areas, Curr. Opin. Environ. Sustain., 14, 101, 10.1016/j.cosust.2015.05.001 Fu, 2018, Scenario analysis of ecosystem service changes and interactions in a mountain-oasis-desert system: a case study in Altay Prefecture, China, Sci. Rep., 8, 1, 10.1038/s41598-018-31043-y Giuliani, 2020, Knowledge generation using satellite earth observations to support sustainable development goals (SDG): a use case on Land degradation, Int. J. Appl. Earth Obs. Geoinf., 88 Gonzalez-Roglich, 2019, Synergizing global tools to monitor progress towards land degradation neutrality: Trends.Earth and the World Overview of Conservation Approaches and Technologies sustainable land management database, Environmental Science and Policy, 93, 34, 10.1016/j.envsci.2018.12.019 Gounaridis, 2019, A Random Forest-Cellular Automata modelling approach to explore future land use/cover change in Attica (Greece), under different socio-economic realities and scales, Sci. Total Environ., 646, 320, 10.1016/j.scitotenv.2018.07.302 Grigorescu, 2021, Modelling land use/cover change to assess future urban sprawl in Romania, Geocarto Int., 10.1080/10106049.2019.1624981 Grigss, 2013, Sustainable development goals for people and planet, Nature, 495, 305, 10.1038/495305a Holland, 2011, Spatial covariation between freshwater and terrestrial ecosystem services, Ecol. Appl., 21, 2034, 10.1890/09-2195.1 Hu, 2020, Evaluation of historical and future wetland degradation using remote sensing imagery and land use modeling, Land Degrad. Dev., 31, 65, 10.1002/ldr.3429 Jiang, 2015, Simulating urban land use change by incorporating an autologistic regression model into a CLUE-S model, J. Geogr. Sci., 25, 836, 10.1007/s11442-015-1205-8 Jiang, 2016, Simulation of urban agglomeration ecosystem spatial distributions under different scenarios: a case study of the Changsha-Zhuzhou-Xiangtan urban agglomeration, Ecol. Eng., 88, 112, 10.1016/j.ecoleng.2015.12.014 Jiang, 2017, Modelling the potential impacts of urban ecosystem changes on carbon storage under different scenarios by linking the CLUE-S and the InVEST models, Ecol. Model., 345, 30, 10.1016/j.ecolmodel.2016.12.002 Kavvada, 2020, vol. 247 Lang, 2019, Quantifying and mapping the responses of selected ecosystem services to projected land use changes, Ecol. Indicat., 102, 186, 10.1016/j.ecolind.2019.02.019 Lawler, 2014, Projected land-use change impacts on ecosystem services in the United States, Proc. Natl. Acad. Sci. U.S.A., 111, 7492, 10.1073/pnas.1405557111 Li, 2018, Response of ecosystem services to land use and cover change: a case study in Chengdu City, Resour. Conserv. Recycl., 132, 291, 10.1016/j.resconrec.2017.03.009 Li, 2020, Future impacts of land use change on ecosystem services under different scenarios in the ecological conservation area, Beijing, China, Forests, 11, 10.3390/f11050584 Liu, 2010, Spatial patterns and driving forces of land use change in China during the early 21st century, J. Geogr. Sci., 20, 483, 10.1007/s11442-010-0483-4 Liu, 2020, Assessing and predicting changes in ecosystem service values based on land use/cover change in the Bohai Rim coastal zone, Ecol. Indicat., 111, 10.1016/j.ecolind.2019.106004 Maynard, 2015, Determining the value of multiple ecosystem services in terms of community wellbeing: who should be the valuing agent?, Ecol. Econ., 115, 22, 10.1016/j.ecolecon.2014.02.002 Millennium Ecosystem Assessment, 2005 Moulds, 2015, An open and extensible framework for spatially explicit land use change modelling: the lulcc R package, Geosci. Model Dev. (GMD), 8, 3215, 10.5194/gmd-8-3215-2015 Müller, 2020, Assessing ecosystem service potentials to evaluate terrestrial, coastal and marine ecosystem types in Northern Germany – an expert-based matrix approach, Ecol. Indicat., 112, 10.1016/j.ecolind.2020.106116 Nativi, 2020, Towards a knowledge base to support global change policy goals, Int. J. Digital Earth, 13, 188, 10.1080/17538947.2018.1559367 Peng, 2019, Identification of wetland damage degree and analysis of its driving forces in Wuhan Urban Agglomeration, J. Nat. Resour., 34, 1694 Peng, 2019, 1 km monthly temperature and precipitation dataset for China from 1901 to 2017, Earth Syst. Sci. Data, 11, 1931, 10.5194/essd-11-1931-2019 Peng, 2020, Simulating wetland changes under di ff erent scenarios based on integrating the random forest and CLUE-S models : a case study of Wuhan Urban Agglomeration, Ecol. Indicat., 117, 10.1016/j.ecolind.2020.106671 Plummer, 2009, Assessing benefit transfer for the valuation of ecosystem services, Front. Ecol. Environ., 7, 38, 10.1890/080091 Prince, 2019, Challenges for remote sensing of the Sustainable Development Goal SDG 15.3.1 productivity indicator, Rem. Sens. Environ., 234, 10.1016/j.rse.2019.111428 Probst, 2019, Hyperparameters and tuning strategies for random forest, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 9 Reyers, 2020, Global targets that reveal the social–ecological interdependencies of sustainable development, Nature Ecol. Evol., 4, 1011, 10.1038/s41559-020-1230-6 Sannigrahi, 2020, Examining effects of climate change and land use dynamic on biophysical and economic values of ecosystem services of a natural reserve region, J. Clean. Prod., 257, 10.1016/j.jclepro.2020.120424 Song, 2017, Land-use/land-cover change and ecosystem service provision in China, Sci. Total Environ., 576, 705, 10.1016/j.scitotenv.2016.07.078 Tolessa, 2017, The impact of land use/land cover change on ecosystem services in the central highlands of Ethiopia, Ecosyst. Serv., 23, 47, 10.1016/j.ecoser.2016.11.010 Trisurat, 2016, Integrating land use and climate change scenarios and models into assessment of forested watershed services in Southern Thailand, Environ. Res., 147, 611, 10.1016/j.envres.2016.02.019 Tziolas, 2020, An integrated methodology using open soil spectral libraries and Earth Observation data for soil organic carbon estimations in support of soil-related SDGs, Rem. Sens. Environ., 244, 10.1016/j.rse.2020.111793 2019, Annex: Global Indicator Framework for the Sustainable Development Goals and Targets of the 2030 Agenda for Sustainable Development, vols. 1–21 United Nations United Nations, 2017, 10.18356/b19523c6-en United Nations United Nations Interagency, 2019 van Zeijl-Rozema, 2008, Governance for sustainable development, Sustain. Dev., 16, 410, 10.1002/sd.367 Vardon, 2019, Accounting for ecosystem services – lessons from Australia for its application and use in Oceania to achieve sustainable development, Ecosyst. Serv., 39, 10.1016/j.ecoser.2019.100986 Verburg, 2008, A multi-scale, multi-model approach for analyzing the future dynamics of European land use, The annals of regional science, 42, 57, 10.1007/s00168-007-0136-4 Verburg, 2002, Modeling the spatial dynamics of regional land use: the CLUE-S model, Environ. Manag., 30, 391, 10.1007/s00267-002-2630-x Verikas, 2011, Mining data with random forests: a survey and results of new tests, Pattern Recogn., 44, 330, 10.1016/j.patcog.2010.08.011 Waiyasusri, 2016, Monitoring and predicting land use changes in the Huai Thap Salao Watershed area, Uthaithani Province, Thailand, using the CLUE-s model, Environ. Earth Sci., 75, 1, 10.1007/s12665-016-5322-1 Wang, 2016, The evolution of river-lake and urban compound systems: a case study in Wuhan, China, Sustainability, 8, 1, 10.3390/su15010001 Wang, 2018, Projections of future land use changes: multiple scenarios-based impacts analysis on ecosystem services for Wuhan city, China, Ecol. Indicat., 94, 430, 10.1016/j.ecolind.2018.06.047 Wood, 2018, Distilling the role of ecosystem services in the sustainable development goals, Ecosyst. Serv., 29, 70, 10.1016/j.ecoser.2017.10.010 Xie, 2003, Ecological assets valuation of the Tibetan Plateau (in Chinese), J. Nat. Resour., 18, 189 Xie, 2008, Expert knowledge based valuation method of ecosystem services in China (in Chinese), J. Nat. Resour., 23, 911 Xu, 2010, Changes of urban wetlands in Wuhan, China, from 1987 to 2005, Progr. Phys. Geogr. Earth Environ., 34, 207, 10.1177/0309133309360626 Xu, 2020, Ecosystem services response to rural-urban transitions in coastal and island cities: a comparison between Shenzhen and Hong Kong, China, J. Clean. Prod., 260, 10.1016/j.jclepro.2020.121033 Yu, 2018, Modeling Urban collaborative growth dynamics using a multiscale simulation model for the Wuhan urban agglomeration area, China, ISPRS Int. J. Geo-Inf., 7, 1, 10.3390/ijgi7050176 Zare, 2016, The impact of land use change on runoff generation in an urbanizing watershed in the north of Iran, Environ. Earth Sci., 75, 1, 10.1007/s12665-016-6058-7