Abstract
Ecological function zoning is an essential means of scientific management of ecosystems. According to the characteristics of ecological function zoning, implementing zoning control is conducive to the governance and protection of the ecological environment and the maintenance of ecological sustainability. This study was conducted with the Nansi Lake Basin as the cross-section for 2018. The Integrated Valuation of Ecosystem Services and Trade-offs model was adopted to assess and measure five ecosystem services, including water yield, crop production, soil conservation, carbon storage and carbon sequestration, and habitat quality. The Self-Organizing Feature Maps neural network was applied to obtain the ecosystem service bundles, and then, the ecological function zones were divided. The results indicated that the overall spatial pattern of ecosystem services in the study zone showed a decreasing schema from east to west; There was a trade-off between supply services and support services and a synergy between supply services and regulatory services; according to the bundling results, the Nansi Lake Basin was divided into four ecological functional zones: the eastern ecological surplus zone, the central crop supply zone, the western ecological balance zone, and the lake habitat protection zone. The results showed that (1) the spatial distribution of various ecosystem services in the Nansi Lake Basin showed spatial heterogeneity and specific regional laws, showing a decreasing pattern from the east to the west as a whole, especially in soil conservation, carbon sequestration, and habitat quality. (2) According to the supply and spatial distribution of each ecosystem service, the Nansi Lake Basin was divided into four ecological functional zones: the eastern ecological surplus zone, the central crop supply zone, the western ecological balance zone, and the lake habitat protection zone. (3) For zone I, provisioning services and regulation services were in synergy. For zone II and zone III, the provisioning service had a trade-off relationship with the regulation service and the supporting service. For zone IV, supporting services were trade-offs not only with provisioning services but also with regulating services. In general, the trade-offs between ecosystem service in the Nansi Lake Basin were stronger than the synergies, and the overall benefits of ecosystem services were smaller. Relying on the perspective of the ecosystem service bundles, at the county level, this study provided an analysis of the trade-offs and synergies among ecosystem services in the Nansi Lake Basin, which helped formulate the management plan for the corresponding region and provided the appropriate recommendations for regional habitat conservation and restoration.
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References
Agudelo CAR, Bustos SLH, Moreno CAP (2020) Modeling interactions among multiple ecosystem services. A critical review. Ecol Model 429:22. https://doi.org/10.1016/j.ecolmodel.2020.109103
Arif M, Behzad HM, Tahir M, Li CX (2022) Nature-based tourism influences ecosystem functioning along waterways: implications for conservation and management. Sci Total Environ 842:11. https://doi.org/10.1016/j.scitotenv.2022.156935
Bai Y, Ochuodho TO, Yang J, Agyeman DA (2021) Bundles and hotspots of multiple ecosystem services for optimized land management in Kentucky, United States. Land 10(1):14. https://doi.org/10.3390/land10010069
Bailey RG (1976) Eco-regions of the United States (1: 7 500 000 Colored) [M]. Ogden. UT: USDA Forest service, intermountain region
Bissoli LB, Bernardino AF (2018) Benthic macrofaunal structure and secondary production in tropical estuaries on the Eastern Marine Ecoregion of Brazil. PeerJ 6:25. https://doi.org/10.7717/peerj.4441
Carranza T, Manica A, Kapos V, Balmford A (2014) Mismatches between conservation outcomes and management evaluation in protected areas: a case study in the Brazilian Cerrado. Biol Cons 173:10–16. https://doi.org/10.1016/j.biocon.2014.03.004
Cui N, Yu EY, Li S, Tang MF, Wu G (2021) Protection measures of plateau lake based on ecosystem sensitivity and importance of ecosystem function: the case of Lake Dalinor Basin. Acta Ecol Sin 41(03):949–958. https://doi.org/10.5846/stxb202003180584
Dittrich A, Seppelt R, Vaclavik T, Cord AF (2017) Integrating ecosystem service bundles and socio-environmental conditions - a national scale analysis from Germany. Ecosyst Serv 28:273–282. https://doi.org/10.1016/j.ecoser.2017.08.007
Dou HS, Li XB, Li SK, Dang DL, Li X, Lyu X, Li MY, Liu SY (2020) Mapping ecosystem services bundles for analyzing spatial trade-offs in inner Mongolia, China. J Clean Prod 256:15. https://doi.org/10.1016/j.jclepro.2020.120444
Farias ES, Farias AA, Santos RC, Santos AA, Picanco MC (2022) Forecasting the seasonal dynamics of Trichoplusia ni (Lep.: Noctuidae) on three Brassica crops through neural networks. Int J Biometeorol 66(5):875–882. https://doi.org/10.1007/s00484-022-02244-y
Gao Y, Feng Z, Wang Y, Liu JL, Li SC, Zhu YK (2014) Clustering urban multifunctional landscapes using the self-organizing feature map neural network model. J Urban Plan Dev 140(2):11. https://doi.org/10.1061/(asce)up.1943-5444.0000170
Gao J, Li DH, Jiang HB, Wen Y, Deng GY, Wang X, Zhang CF, He CG (2022) Study of the effects of ten-year microclimate regulation based on different vegetation type combinations in a City Riparian Zone. Water 14(12):13. https://doi.org/10.3390/w14121932
Gosal AS, Geijzendorffer IR, Vaclavik T, Poulin B, Ziv G (2019) Using social media, machine learning and natural language processing to map multiple recreational beneficiaries. Ecosyst Serv 38:12. https://doi.org/10.1016/j.ecoser.2019.100958
Gou MM, Li L, Ouyang S, Wang N, La LM, Liu CF, Xiao WF (2021) Identifying and analyzing ecosystem service bundles and their socioecological drivers in the Three Gorges Reservoir Area. J Clean Prod 307:14. https://doi.org/10.1016/j.jclepro.2021.127208
Guo HW, Sun XY, Lian LS, Zhang DZ, Xu Y (2016) Response of water yield function of ecosystem to land use change in Nansi Lake Basin based on CLUE-S model and InV EST model. J Appl Ecol 27(9):2899–2906. https://doi.org/10.13287/j.1001-9332.201609.039
Hamann M, Biggs R, Reyers B (2016) An exploration of human well-being bundles as identifiers of ecosystem service use patterns. PLoS One 11(10):20. https://doi.org/10.1371/journal.pone.0163476
Hou Y, Lu YH, Chen WP, Fu BJ (2017) Temporal variation and spatial scale dependency of ecosystem service interactions: a case study on the central Loess Plateau of China. Landscape Ecol 32(6):1201–1217. https://doi.org/10.1007/s10980-017-0497-8
Kang JM, Zhang X, Zhu XW, Zhang BL (2021) Ecological security pattern: a new idea for balancing regional development and ecological protection. A case study of the Jiaodong Peninsula, China. Glob Ecol Conserv 26:17. https://doi.org/10.1016/j.gecco.2021.e01472
Kareiva P, Watts S, McDonald R, Boucher T (2007) Domesticated nature: shaping landscapes and ecosystems for human welfare. Science 316(5833):1866–1869. https://doi.org/10.1126/science.1140170
Karimi JD, Corstanje R, Harris JA (2021) Bundling ecosystem services at a high resolution in the UK: trade-offs and synergies in urban landscapes. Landscape Ecol 36(6):1817–1835. https://doi.org/10.1007/s10980-021-01252-4
Kemkes RJ, Farley J, Koliba CJ (2010) Determining when payments are an effective policy approach to ecosystem service provision. Ecol Econ 69(11):2069–2074. https://doi.org/10.1016/j.ecolecon.2009.11.032
Lee DY, Lee DS, Bae MJ, Hwang SJ, Noh SY, Moon JS, Park YS (2018) Distribution patterns of Odonate Assemblages in relation to environmental variables in streams of South Korea. Insects 9(4):14. https://doi.org/10.3390/insects9040152
Liao ZM, Yang W, Cai YP, Wang X, Xiong WS (2022) Assessment and regionalization of ecological functions in the Baiyangdian Basin of Daqing River. Acta Sci Circumstantiae 42(01):131–140. https://doi.org/10.13671/j.hjkxxb.2021.0469
Liu YX, Li T, Zhao WW, Wang S, Fu BJ (2019) Landscape functional zoning at a county level based on ecosystem services bundle: methods comparison and management indication. J Environ Manag 249:11. https://doi.org/10.1016/j.jenvman.2019.109315
Liu L, Song W, Zhang YJ, Han Z, Li H, Yang DZ, Wang ZY, Huang Q (2021) Zoning of ecological restoration in the Qilian Mountain Area, China. Int J Env Res Pub He 18(23):18. https://doi.org/10.3390/ijerph182312417
Ma CC (2013) Study on the development of ecological economy zoning in the Nansi Lake Basin of Shandong Province. Qufu Normal University
Martin-Lopez B, Iniesta-Arandia I, Garcia-Llorente M, Palomo I, Casado-Arzuaga I, Del Amo DG, . . . Montes C (2012) Uncovering ecosystem service bundles through social preferences. Plos One 7(6):11. https://doi.org/10.1371/journal.pone.0038970
Meacham M, Queiroz C, Norstrom AV, Peterson GD (2016) Social-ecological drivers of multiple ecosystem services: what variables explain patterns of ecosystem services across the Norrstrom drainage basin? Ecol Soc 21(1):25. https://doi.org/10.5751/es-08077-210114
Moreno-Llorca R, Vaz AS, Herrero J, Millares A, Bonet-Garcia FJ, Alcaraz-Segura D (2020) Multi-scale evolution of ecosystem services’ supply in Sierra Nevada (Spain): an assessment over the last half-century. Ecosyst Serv 46:11. https://doi.org/10.1016/j.ecoser.2020.101204
Mouchet MA, Paracchini ML, Schulp CJE, Sturck J, Verkerk PJ, Verburg PH, Lavorel S (2017) Bundles of ecosystem (dis)services and multifunctionality across European landscapes. Ecol Ind 73:23–28. https://doi.org/10.1016/j.ecolind.2016.09.026
Nagai S, Morimoto H, Saitoh TM (2020) A simpler way to predict flowering and full bloom dates of cherry blossoms by self-organizing maps. Eco Inform 56:10. https://doi.org/10.1016/j.ecoinf.2019.101040
Omernik JM, Griffith GE (2014) Ecoregions of the Conterminous United States: evolution of a hierarchical spatial framework. Environ Manag 54(6):1249–1266. https://doi.org/10.1007/s00267-014-0364-1
Pan Y, Zheng H, Yi QT, Li RN (2021) The change and driving factors of ecosystem service bundles: a case study of Daqing River Basin. Acta Ecol Sin 41(13):5204–5213. https://doi.org/10.5846/stxb202103100650
Penfound E, Vaz E (2021) Analysis of wetland landcover change in Great Lakes Urban Areas using self-organizing maps. Remote Sens 13(24):18. https://doi.org/10.3390/rs13244960
Pukkala T (2018) Effect of species composition on ecosystem services in European boreal forest. J For Res 29(2):261–272. https://doi.org/10.1007/s11676-017-0576-3
Queiroz C, Meacham M, Richter K, Norstrom AV, Andersson E, Norberg J, Peterson G (2015) Mapping bundles of ecosystem services reveals distinct types of multifunctionality within a Swedish landscape. Ambio 44:S89–S101. https://doi.org/10.1007/s13280-014-0601-0
Ratnayake SS, Khan A, Reid M, Dharmasena PB, Hunter D, Kumar L, . . . Kariyawasam CS (2022) Land use-based participatory assessment of ecosystem services for ecological restoration in Village Tank Cascade Systems of Sri Lanka. Sustainability 14(16):21. https://doi.org/10.3390/su141610180
Rau AL, Burkhardt V, Dorninger C, Hjort C, Ibe K, Kessler L, Kristensen JA, McRobert A, Ekroos J (2020) Temporal patterns in ecosystem services research: a review and three recommendations. Ambio 49(8):1377–1393. https://doi.org/10.1007/s13280-019-01292-w
Raudsepp-Hearne C, Peterson GD, Bennett EM (2010) Ecosystem service bundles for analyzing tradeoffs in diverse landscapes. P Natlacad Sci USA 107(11):5242–5247. https://doi.org/10.1073/pnas.0907284107
Sauter I, Kienast F, Bolliger J, Winter B, Pazur R (2019) Changes in demand and supply of ecosystem services under scenarios of future land use in Vorarlberg, Austria. J Mt. Sci 16(12):2793–2809. https://doi.org/10.1007/s11629-018-5124-x
Schirpke U, Candiago S, Vigl LE, Jager H, Labadini A, Marsoner T, . . . Tappeiner U (2019) Integrating supply, flow and demand to enhance the understanding of interactions among multiple ecosystem services. Sci Total Environ 651:928–941. https://doi.org/10.1016/j.scitotenv.2018.09.235
Schneider A, Friedl MA, Potere D (2010) Mapping global urban areas using MODIS 500-m data: new methods and datasets based on ‘urban ecoregions.’ Remote Sens Environ 114(8):1733–1746. https://doi.org/10.1016/j.rse.2010.03.003
Singh SK, Bardossy A, Gotzinger J, Sudheer KP (2012) Effect of spatial resolution on regionalization of hydrological model parameters. Hydrol Process 26(23):3499–3509. https://doi.org/10.1002/hyp.8424
Song TH (2011) Study on ecological and economic zoning of Nansihu Lake Basin. Shandong Normal University
Sun XY, Guo HW, Lian LS, Liu F, Li BF (2017) The spatial pattern of water yield and its driving factors in Nansi Lake Basin. J Nat Resour 32(04):669–679. https://doi.org/10.11849/zrzyxb.20160460
Sun YX, Liu SL, Dong YH, An Y, Shi FN, Dong SK, Liu GH (2019) Spatio-temporal evolution scenarios and the coupling analysis of ecosystem services with land use change in China. Sci Total Environ 681:211–225. https://doi.org/10.1016/j.scitotenv.2019.05.136
Sun MY, Yang RJ, Li XH, Zhang L, Liu Q (2021) Designing a path for the sustainable development of key ecological function zones: a case study of southwest China. Glob Ecol Conserv 31:14. https://doi.org/10.1016/j.gecco.2021.e01840
Sun SX (2016) Ecological quality and functional zoning of Nansi Lake side zone. Shandong University
Szteren D, Aurioles-Gamboa D (2011) Ecological regionalization of Zalophus californianus rookeries, as a tool for conservation in the Gulf of California. Cienc Mar 37(3):349–368. https://doi.org/10.7773/cm.v37i3.1818
Turner KG, Odgaard MV, Bocher PK, Dalgaard T, Svenning JC (2014) Bundling ecosystem services in Denmark: trade-offs and synergies in a cultural landscape. Landscape Urban Plan 125:89–104. https://doi.org/10.1016/j.landurbplan.2014.02.007
Wang YF, Fan J (2020) Multi-scale analysis of the spatial structure of China’s major function zoning. J Geogr Sci 30(2):197–211. https://doi.org/10.1007/s11442-020-1723-x
Wang GL, Yang DG, Xia FQ, Zhong RS, Xiong CH (2019) Three types of spatial function zoning in key ecological function areas based on ecological and economic coordinated development: a case study of Tacheng Basin, China. Chinese Geogr Sci 29(4):689–699. https://doi.org/10.1007/s11769-019-1022-6
Wang JF, Li LF, Li Q, Hu SX, Wang S (2022a) Monitoring spatio-temporal dynamics and causes of habitat quality in Yellow River Basin from the perspective of major function-oriented zone planning. Contemp Probl Ecol 15(4):418–431. https://doi.org/10.1134/s1995425522040126
Wang ZK, Guo J, Ling HB, Han FF, Kong ZJ, Wang WQ (2022b) Function zoning based on spatial and temporal changes in quantity and quality of ecosystem services under enhanced management of water resources in arid basins. Ecol Indic 137:14. https://doi.org/10.1016/j.ecolind.2022.108725
Xie XT, Li XS, Fan HP, He WK (2021) Spatial analysis of production-living-ecological functions and zoning method under symbiosis theory of Henan, China. Environ Sci Pollut r 28(48):69093–69110. https://doi.org/10.1007/s11356-021-15165-x
Xiong Y, Xu WH, Lu N, Huang SD, Wu C, Wang LG, Dai F, Kou WL (2021) Assessment of spatial-temporal changes of ecological environment quality based on RSEI and GEE: a case study in Erhai Lake Basin, Yunnan province, China. Ecol Indic 125:10. https://doi.org/10.1016/j.ecolind.2021.107518
Xu C, Yang GS, Wan RR, Ou WX, Wang P (2021) Toward ecological function zoning and comparison to the Ecological Redline Policy: a case study in the Poyang Lake Region, China. Environ Sci Pollut r 28(30):40178–40191. https://doi.org/10.1007/s11356-020-12225-6
Yan XL, Li XY, Liu CH, Li JW, Zhong JQ (2022) Scales and historical evolution: methods to reveal the relationships between ecosystem service bundles and socio-ecological drivers-a case study of Dalian City, China. Int J Env Res Pub He 19(18):20. https://doi.org/10.3390/ijerph191811766
Yang DZ, Song W (2022) Ecological function regionalization of the core area of the Beijing-Hangzhou Grand Canal based on the leading ecological function perspective. Ecol Indic 142:13. https://doi.org/10.1016/j.ecolind.2022.109247
Yang J, Xie BP, Tao WQ, Zhang DG (2021) Ecosystem services assessment, trade-off, and bundles in the Yellow River Basin, China. Diversity-Basel 13(7):22. https://doi.org/10.3390/d13070308
Yang L, Suo MM, Gao SQ, Jiao HZ (2022) Construction of an ecological network based on an integrated approach and circuit theory: a case study of Panzhou in Guizhou Province. Sustainability 14(15):29. https://doi.org/10.3390/su14159136
Zhai J, Hou P, Cao W, Yang M, Cai MY, Li J (2018) Ecosystem assessment and protection effectiveness of a tropical rainforest region in Hainan Island, China. J Geogr Sci 28(4):415–428. https://doi.org/10.1007/s11442-018-1481-1
Zhang WJ, Sun XY, Zhou J (2021a) Spatio-temporal dynamics of tradeoffs between crucial ecosystem services in Nansihu Lake Basin. Acta Ecol Sin 41(20):8003–8015. https://doi.org/10.5846/stxb202011102900
Zhang ZJ, Zhang YJ, Yu X, Lei LP, Chen YQ, Guo XD (2021b) Evaluating natural ecological land change in function-oriented planning regions using the National Land Use Survey Data from 2009 to 2018 in China. Isprs Int J Geo-Inf 10(3):14. https://doi.org/10.3390/ijgi10030172
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This work was funded with support from the Humanities and Social Science General Project of the Ministry of Education, China (grant number 15YJAZH027).
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Yingchun Liu: conceptualization, methodology, software, visualization, writing—original draft. Yande Jing: funding acquisition, project administration, supervision, manuscript design, writing—review and editing. Shanmei Han: formal analysis, writing—review and editing.
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Highlights
• The spatial distribution of ecosystem services in the Nansi Lake Basin showed a decreasing pattern from the east to the west.
• The Self-Organizing Feature Maps neural network was used to identify ecosystem service bundles.
• The Nansi Lake Basin was divided into four ecological functional zones.
• The trade-offs between ecosystem service bundles in the Nansi Lake Basin were stronger than the synergies.
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Liu, Y., Jing, Y. & Han, S. Ecological function zoning of Nansi Lake Basin in China based on ecosystem service bundles. Environ Sci Pollut Res 30, 77343–77357 (2023). https://doi.org/10.1007/s11356-023-27723-6
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DOI: https://doi.org/10.1007/s11356-023-27723-6