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Quantitative assessment of the supply, demand and flows of ecosystem services in the Yangtze River Basin, China |
Dongjie GUAN(), Xiaofeng FAN, Lilei ZHOU, Kangwen ZHU |
School of Smart City Institute, Chongqing Jiaotong University, Chongqing 400074, China |
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Abstract Ecosystem service flow is essential for transporting, transforming, and maintaining ecosystem services and connecting supply and demand. This study attempted to quantitatively assess the supply and demand flows of ecosystem services in the Yangtze River Basin in 2000, 2010, and 2020; assess the evolution of the spatial patterns of ecosystem service flow at the provincial, watershed and urban agglomeration scales; and design a zoning standard for ecosystem service flow. The results showed as follows. 1) Between 2000 and 2020, the Yangtze River had a progressive drop in its freshwater supply, water conservation service and carbon sequestration service flows. The decline rates for these services were measured at 10.90%, 11.11%, and 5.17%, respectively. The climate regulation service flow exhibited a pattern of initial fall followed by a subsequent increase, characterized by a decline rate of 35.53%. 2) The lowest was the ecosystem service flow in the lower reaches of the Yangtze River and the Yangtze River Delta urban agglomeration. Freshwater supply service flow and water conservation service flow were the highest in the upper reaches of the Yangtze River and the Chengdu-Chongqing urban agglomeration. Carbon sequestration service flow and climate regulation service flow were the highest in the middle reaches of the Yangtze River Basin and the urban agglomeration in the middle reaches of the Yangtze River. 3) From 2000 to 2020, the change ratios of the area proportion of the confluence, flow, and outflow areas in the Yangtze River Basin were 1.06, 3.17, and 0.86, respectively. The results of this research could offer decision support for regulating ecosystem services in the Yangtze River Basin, promoting sustainable regional development and achieving rational use of the basin resources.
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Keywords
Yangtze River Basin
ecosystem services
supply and demand
service flow
quantitative assessment
spatial matching
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Corresponding Author(s):
Dongjie GUAN
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Online First Date: 03 July 2024
Issue Date: 19 July 2024
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1 |
H A, Abdelrhman T A, Almaleeh I M M Elshareef (2022). Economic valuation of ecosystem services provided by Dellanj Forest using contingent valuation methods.J Economics Public Finance, 8(4): 58
https://doi.org/10.22158/jepf.v8n4p58
|
2 |
J C, Assis C, Hohlenwerger J P, Metzger J R, Rhodes G T, Duarte Silva R A, Da A L, Boesing P R, Prist M C Ribeiro (2023). Linking landscape structure and ecosystem service flow.Ecosyst Serv, 62: 101535
https://doi.org/10.1016/j.ecoser.2023.101535
|
3 |
E B, Brooks J W, Coulston K H, Riitters D N Wear (2020). Using a hybrid demand-allocation algorithm to enable distributional analysis of land use change patterns.PLoS One, 15(10): e0240097
https://doi.org/10.1371/journal.pone.0240097
|
4 |
L, Cao F, Kong C Xu (2022). Exploring ecosystem carbon storage change and scenario simulation in the Qiantang River source region of China.Sci Prog, 105(3): 1–26
https://doi.org/10.1177/00368504221113186
|
5 |
D, Chen J, Li X, Yang Z, Zhou Y, Pan M Li (2020). Quantifying water provision service supply, demand and spatial flow for land use optimization: a case study in the Yanhe watershed.Ecosyst Serv, 43: 101117
https://doi.org/10.1016/j.ecoser.2020.101117
|
6 |
K B, Dang B, Burkhard V B, Dang K C Vu (2020). Potential, flow and demand of rice provisioning ecosystem services – case study in Sapa district, Vietnam.Ecol Indic, 118: 106731
https://doi.org/10.1016/j.ecolind.2020.106731
|
7 |
C, Deng D, Zhu Y, Liu Z Li (2022). Spatial matching and flow in supply and demand of water provision services: a case study in Xiangjiang River Basin.J Mt Sci, 19(1): 228–240
https://doi.org/10.1007/s11629-021-6855-7
|
8 |
H, Du L, Zhao P, Zhang J, Li S Yu (2023). Ecological compensation in the Beijing-Tianjin-Hebei region based on ecosystem services flow.J Environ Manage, 331: 117230
https://doi.org/10.1016/j.jenvman.2023.117230
|
9 |
H, Duan N Xu (2022). Assessing social values for ecosystem services in rural areas based on the SolVES Model: a case study from Nanjing, China.Forests, 13(11): 1877
https://doi.org/10.3390/f13111877
|
10 |
L, Fang L, Wang W, Chen J, Sun Q, Cao S, Wang L Wang (2021). Identifying the impacts of natural and human factors on ecosystem service in the Yangtze and Yellow River Basins.J Clean Prod, 314: 127995
https://doi.org/10.1016/j.jclepro.2021.127995
|
11 |
M, Feurer H, Rueff E, Celio A, Heinimann J, Blaser A M, Htun J G Zaehringer (2021). Regional scale mapping of ecosystem services supply, demand, flow and mismatches in Southern Myanmar.Ecosyst Serv, 52: 101363
https://doi.org/10.1016/j.ecoser.2021.101363
|
12 |
B, Fisher R K, Turner P Morling (2009). Defining and classifying ecosystem services for decision making.Ecol Econ, 68(3): 643–653
https://doi.org/10.1016/j.ecolecon.2008.09.014
|
13 |
Y, Gao Z, Wang F Xu (2023). Geospatial characteristics and the application of land use functions in the Yangtze River Economic Belt, China: perspectives on provinces and urban agglomerations.Ecol Indic, 155: 110969
https://doi.org/10.1016/j.ecolind.2023.110969
|
14 |
W, Geng Y, Li P, Zhang D, Yang W, Jing T Rong (2022). Analyzing spatio-temporal changes and trade-offs/synergies among ecosystem services in the Yellow River Basin, China.Ecol Indic, 138: 108825
https://doi.org/10.1016/j.ecolind.2022.108825
|
15 |
R, Granado-Díaz J A, Gómez-Limón M, Rodríguez-Entrena A J Villanueva (2020). Spatial analysis of demand forsparsely located ecosystem services using alternative index approaches.Eur Rev Agric Econ, 47: 752–784
|
16 |
C, Gu L, Hu X, Zhang X, Wang J Guo (2011). Climate change and urbanization in the Yangtze River Delta.Habitat Int, 35(4): 544–552
https://doi.org/10.1016/j.habitatint.2011.03.002
|
17 |
D, Guan Z, Deng L L, Zhou X, Fan W, Yang G, Peng X, Zhu L J Zhou (2023). How can multiscenario flow paths of water supply services be simulated? A supply-flow-demand model of ecosystem services across a typical basin, in China..Sci Total Environ, 893: 164770
https://doi.org/10.1016/j.scitotenv.2023.164770
|
18 |
D, Guan L, Wu L, Cheng Y, Zhang L Zhou (2022). How to measure the ecological compensation threshold in the upper Yangtze River basin, China? An approach for coupling InVEST and grey water footprint..Front Earth Sci (Lausanne), 10: 988291
https://doi.org/10.3389/feart.2022.988291
|
19 |
M, Hochmalová R C, Purwestri Y, Jian V, Jarský M, Riedl Y, Dian M Hájek (2022). Demand for forest ecosystem services: a comparison study in selected areas in the Czech Republic and China.Eur J For Res, 141(5): 867–886
https://doi.org/10.1007/s10342-022-01478-0
|
20 |
N, Hu D, Xu N, Zou S, Fan P, Wang Y Li (2023). Multi-scenario simulations of land use and habitat quality based on a PLUS-InVEST Model: a case study of Baoding, China.Sustainability (Basel), 15(1): 557
https://doi.org/10.3390/su15010557
|
21 |
Y, Hu Y, Liu C Li (2022). Multi-scenario simulation of land use change and ecosystem service value in the middle reaches of Yangtze River urban agglomeration.Sustainability, 14(23): 15738
https://doi.org/10.3390/su142315738
|
22 |
M, Huang Y, Xiao J, Xu J, Liu Y, Wang S, Gan S, Lv G Xie (2022). A review on the supply-demand relationship and spatial flows of ecosystem services.J Resour Ecol, 13: 925–935
|
23 |
Q, Jia L, Jiao X, Lian W Wang (2023). Linking supply-demand balance of ecosystem services to identify ecological security patterns in urban agglomerations.Sustain Cities Soc, 92: 104497
https://doi.org/10.1016/j.scs.2023.104497
|
24 |
W, Jiang B, Fu G, Gao Y, Lv C, Wang S, Sun K, Wang S, Schüler Z Shu (2023). Exploring spatial-temporal driving factors for changes in multiple ecosystem services and their relationships in West Liao River Basin, China.Sci Total Environ, 904: 166716
https://doi.org/10.1016/j.scitotenv.2023.166716
|
25 |
Y, Jiang D, Guan X, He B, Yin L, Zhou L, Sun D, Huang Z, Li Y Zhang (2022). Quantification of the coupling relationship between ecological compensation and ecosystem services in the Yangtze River Economic Belt, China.Land Use Policy, 114: 105995
https://doi.org/10.1016/j.landusepol.2022.105995
|
26 |
Z, Li D, Guan L, Zhou Y Zhang (2022). Constraint relationship of ecosystem services in the Yangtze River Economic Belt, China.Environ Sci Pollut Res Int, 29(9): 12484–12505
https://doi.org/10.1007/s11356-021-13845-2
|
27 |
J, Lin J, Huang C, Prell B A Bryan (2021). Changes in supply and demand mediate the effects of land-use change on freshwater ecosystem services flows.Sci Total Environ, 763: 143012
https://doi.org/10.1016/j.scitotenv.2020.143012
|
28 |
Y, Lin M, Zhang M, Gan L, Huang C, Zhu Q, Zheng S, You Z, Ye A R, Shahtahmassebi Y, Li J, Deng J, Zhang L, Zhang K Wang (2022). Fine identification of the supply–demand mismatches and matches of urban green space ecosystem services with a spatial filtering tool.J Clean Prod, 336: 130404
https://doi.org/10.1016/j.jclepro.2022.130404
|
29 |
H, Liu W, Xiao J, Zhu L, Zeng Q Li (2022a). Urbanization intensifies the mismatch between the supply and demand of regional ecosystem services: a large-scale case of the Yangtze River economic belt in China.Remote Sens (Basel), 14(20): 5147
https://doi.org/10.3390/rs14205147
|
30 |
J, Liu X, Chen W, Chen Y, Zhang A, Wang Y Zheng (2023a). Ecosystem service value evaluation of saline—alkali land development in the Yellow River Delta—the example of the Huanghe Island.Water, 15(3): 477
https://doi.org/10.3390/w15030477
|
31 |
M, Liu Y, Xiong A Zhang (2023b). Multi-scale telecoupling effects of land use change on ecosystem services in urban agglomerations –A case study in the middle reaches of Yangtze River urban agglomerations.J Clean Prod, 415: 137878
https://doi.org/10.1016/j.jclepro.2023.137878
|
32 |
Q, Liu X, Sun W, Wu Z, Liu G, Fang P Yang (2022b). Agroecosystem services: a review of concepts, indicators, assessment methods and future research perspectives.Ecol Indic, 142: 109218
https://doi.org/10.1016/j.ecolind.2022.109218
|
33 |
Z, Liu L, Rong W Wei (2023c). Impacts of land use/cover change on water balance by using the SWAT model in a typical loess hilly watershed of China.Geogr Sustain, 4(1): 19–28
https://doi.org/10.1016/j.geosus.2022.11.006
|
34 |
T, Luo J, Zeng W, Chen Y, Wang T, Gu C Huang (2023). Ecosystem services balance and its influencing factors detection in China: a case study in Chengdu-Chongqing urban agglomerations.Ecol Indic, 151: 110330
https://doi.org/10.1016/j.ecolind.2023.110330
|
35 |
Y, Lyu C Wu (2023). Managing the supply-demand mismatches and potential flows of ecosystem services from the perspective of regional integration: a case study of Hangzhou, China.Sci Total Environ, 902: 165918
https://doi.org/10.1016/j.scitotenv.2023.165918
|
36 |
Z, Ma J, Gong C, Hu J Lei (2023). An integrated approach to assess spatial and temporal changes in the contribution of the ecosystem to sustainable development goals over 20 years in China.Sci Total Environ, 903: 166237
https://doi.org/10.1016/j.scitotenv.2023.166237
|
37 |
Q, Meng L, Zhang H, Wei E, Cai D, Xue M Liu (2021). Linking ecosystem service supply–demand risks and regional spatial management in the Yihe River Basin, Central China.Land (Basel), 10(8): 843
https://doi.org/10.3390/land10080843
|
38 |
F, Müller S, Bicking K, Ahrendt Bac D, Kinh I, Blindow C, Fürst P, Haase M, Kruse T, Kruse L, Ma M, Perennes I, Ruljevic G, Schernewski C G, Schimming A, Schneiders H, Schubert J, Schumacher U, Tappeiner P, Wangai W, Windhorst J Zeleny (2020). Assessing ecosystem service potentials to evaluate terrestrial, coastal and marine ecosystem types in Northern Germany – an expert-based matrix approach.Ecol Indic, 112: 106116
https://doi.org/10.1016/j.ecolind.2020.106116
|
39 |
I, Palomo B, Martín-López M, Potschin R, Haines-Young C Montes (2013). National Parks, buffer zones and surrounding lands: mapping ecosystem service flows.Ecosyst Serv, 4: 104–116
https://doi.org/10.1016/j.ecoser.2012.09.001
|
40 |
Z, Pan G, Gao B Fu (2022). Spatiotemporal changes and driving forces of ecosystem vulnerability in the Yangtze River Basin, China: quantification using habitat-structure-function framework.Sci Total Environ, 835: 155494
https://doi.org/10.1016/j.scitotenv.2022.155494
|
41 |
L, Peng L, Zhang X, Li P, Wang W, Zhao Z, Wang L, Jiao H Wang (2022). Spatio-temporal patterns of ecosystem services provided by urban green spaces and their equity along urban–rural gradients in the Xi’an Metropolitan Area, China.Remote Sens (Basel), 14(17): 4299
https://doi.org/10.3390/rs14174299
|
42 |
K, Qin J, Liu L, Yan H Huang (2019). Integrating ecosystem services flows into water security simulations in water scarce areas: present and future.Sci Total Environ, 670: 1037–1048
https://doi.org/10.1016/j.scitotenv.2019.03.263
|
43 |
I, Sauter F, Kienast J, Bolliger B, Winter R Pazúr (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
|
44 |
U, Schirpke Vigl L, Egarter E, Tasser U Tappeiner (2019). Analyzing spatial congruencies and mismatches between supply, demand and flow of ecosystem services and sustainable development.Sustainability (Basel), 11(8): 2227
https://doi.org/10.3390/su11082227
|
45 |
N, Schuwirth F, Borgwardt S, Domisch M, Friedrichs M, Kattwinkel D, Kneis M, Kuemmerlen S D, Langhans J, Martínez-López P Vermeiren (2019). How to make ecological models useful for environmental management.Ecol Modell, 411: 108784
https://doi.org/10.1016/j.ecolmodel.2019.108784
|
46 |
H M, Serna-Chavez C, Schulp Bodegom P M, Van W, Bouten P H, Verburg M D Davidson (2014). A quantitative framework for assessing spatial flows of ecosystem services.Ecol Indic, 39: 24–33
https://doi.org/10.1016/j.ecolind.2013.11.024
|
47 |
K, Shaad N J, Souter D, Vollmer H M, Regan M O Bezerra (2022). Integrating ecosystem services into water resource management: an indicator-based approach.Environ Manage, 69(4): 752–767
https://doi.org/10.1007/s00267-021-01559-7
|
48 |
J, Shen S C, Li H, Wang S, Wu Z, Liang Y T, Zhang F, Wei S, Li L, Ma Y, Wang L, Liu Y J Zhang (2023). Understanding the spatial relationships and drivers of ecosystem service supply-demand mismatches towards spatially-targeted management of social-ecological system.J Clean Prod, 406: 136882
https://doi.org/10.1016/j.jclepro.2023.136882
|
49 |
J, Sheng D, Rui X Han (2022). Governmentality and sociotechnical imaginary within the conservation-development nexus: China’s Great Yangtze River Protection Programme.Environ Sci Policy, 136: 56–66
https://doi.org/10.1016/j.envsci.2022.05.018
|
50 |
Y, Shi D, Shi L, Zhou R Fang (2020). Identification of ecosystem services supply and demand areas and simulation of ecosystem service flows in Shanghai.Ecol Indic, 115: 106418
https://doi.org/10.1016/j.ecolind.2020.106418
|
51 |
J, Song Z, Liang Q, Guo C Wang (2023). Current situation, dilemmas and measures to improve horizontal ecological compensation coordination mechanisms in river basins.Sustainability (Basel), 15(2): 1504
https://doi.org/10.3390/su15021504
|
52 |
J, Stürck A, Poortinga P H Verburg (2014). Mapping ecosystem services: the supply and demand of flood regulation services in Europe.Ecol Indic, 38: 198–211
https://doi.org/10.1016/j.ecolind.2013.11.010
|
53 |
J, Tan L, Peng W, Wu Q Huang (2023a). Mapping the evolution patterns of urbanization, ecosystem service supply–demand, and human well-being: a tree-like landscape perspective.Ecol Indic, 154: 110591
https://doi.org/10.1016/j.ecolind.2023.110591
|
54 |
L, Tan G, Yang Q, Zhu R, Wan K Shi (2023b). Optimizing payment for ecosystem services in a drinking water source watershed by quantifying the supply and demand of soil retention service.J Environ Manage, 331: 117303
https://doi.org/10.1016/j.jenvman.2023.117303
|
55 |
Y, Tao Q, Tao X, Sun J, Qiu S G, Pueppke W, Ou J, Guo J Qi (2022). Mapping ecosystem service supply and demand dynamics under rapid urban expansion: a case study in the Yangtze River Delta of China.Ecosyst Serv, 56: 101448
https://doi.org/10.1016/j.ecoser.2022.101448
|
56 |
Y, Tian Q Mao (2022). The effect of regional integration on urban sprawl in urban agglomeration areas: a case study of the Yangtze River Delta, China.Habitat Int, 130: 102695
https://doi.org/10.1016/j.habitatint.2022.102695
|
57 |
S, Tindale V, Vicario-Modroño R, Gallardo-Cobos E, Hunter S, Miškolci P N, Price P, Sánchez-Zamora M, Sonnevelt M, Ojo K, McInnes L Frewer (2023). Citizen perceptions and values associated with ecosystem services from European grassland landscapes.Land Use Policy, 127: 106574
https://doi.org/10.1016/j.landusepol.2023.106574
|
58 |
M, Vergarechea R, Astrup C, Fischer K, Øistad C, Blattert M, Hartikainen K, Eyvindson Fulvio F, Di N, Forsell D, Burgas A, Toraño-Caicoya M, Mönkkönen C Antón-Fernández (2023). Future wood demands and ecosystem services trade-offs: a policy analysis in Norway.For Policy Econ, 147: 102899
https://doi.org/10.1016/j.forpol.2022.102899
|
59 |
C, Wang M, Zhao Y, Xu Y, Zhao X Zhang (2023). Ecosystem service synergies promote ecological tea gardens: a case study in Fuzhou, China.Remote Sens (Basel), 15(2): 540
https://doi.org/10.3390/rs15020540
|
60 |
H, Wang L, Wang X, Fu Q, Yang G, Wu M, Guo S, Zhang D, Wu Y, Zhu H Deng (2022a). Spatial-temporal pattern of ecosystem service supply-demand and coordination in the Ulansuhai Basin, China.Ecol Indic, 143: 109406
https://doi.org/10.1016/j.ecolind.2022.109406
|
61 |
L, Wang H, Zheng Y, Chen Z, Ouyang X Hu (2022b). Systematic review of ecosystem services flow measurement: main concepts, methods, applications and future directions.Ecosyst Serv, 58: 101479
https://doi.org/10.1016/j.ecoser.2022.101479
|
62 |
R, Wang Y, Zhang H, Zhang H Yu (2022c). Social value assessment and spatial expression of national park ecosystems based on residents’ perceptions.Sustainability (Basel), 14(7): 4206
https://doi.org/10.3390/su14074206
|
63 |
J, Wu X, Fan K, Li Y Wu (2023). Assessment of ecosystem service flow and optimization of spatial pattern of supply and demand matching in Pearl River Delta, China.Ecol Indic, 153: 110452
https://doi.org/10.1016/j.ecolind.2023.110452
|
64 |
J, Wu Y, Huang W Jiang (2022). Spatial matching and value transfer assessment of ecosystem services supply and demand in urban agglomerations: a case study of the Guangdong-Hong Kong-Macao Greater Bay area in China.J Clean Prod, 375: 134081
https://doi.org/10.1016/j.jclepro.2022.134081
|
65 |
W, Wu H, Tang P, Yang L, You Q, Zhou Z, Chen R Shibasaki (2011). Scenario-based assessment of future food security.J Geogr Sci, 21(1): 3–17
https://doi.org/10.1007/s11442-011-0825-x
|
66 |
H, Xia S, Yuan A V Prishchepov (2023). Spatial-temporal heterogeneity of ecosystem service interactions and their social-ecological drivers: implications for spatial planning and management.Resour Conserv Recycling, 189: 106767
https://doi.org/10.1016/j.resconrec.2022.106767
|
67 |
P, Xia B, Chen B, Gong Z, Liu C, He Y Wang (2022). The supply and demand of water purification service in an urbanizing basin on the Tibetan Plateau.Landsc Ecol, 37(7): 1937–1955
https://doi.org/10.1007/s10980-022-01455-3
|
68 |
H, Xiang J, Zhang D, Mao Z, Wang Z, Qiu H Yan (2022). Identifying spatial similarities and mismatches between supply and demand of ecosystem services for sustainable northeast China.Ecol Indic, 134: 108501
https://doi.org/10.1016/j.ecolind.2021.108501
|
69 |
D, Xu Y Zhang (2022). Identifying the flow paths and beneficiary ranges of the sand fixation service: a case-study in Xilingol League, China.Land Degrad Dev, 33(3): 413–424
https://doi.org/10.1002/ldr.4127
|
70 |
Z, Xu J Peng (2022). Ecosystem services-based decision-making: a bridge from science to practice.Environ Sci Policy, 135: 6–15
https://doi.org/10.1016/j.envsci.2022.04.010
|
71 |
C, Xue X, Chen L, Xue H, Zhang J, Chen D Li (2023). Modeling the spatially heterogeneous relationships between tradeoffs and synergies among ecosystem services and potential drivers considering geographic scale in Bairin Left Banner, China.Sci Total Environ, 855: 158834
https://doi.org/10.1016/j.scitotenv.2022.158834
|
72 |
D, Xue Z, Wang Y, Li M, Liu H Wei (2022). Assessment of ecosystem services supply and demand (Mis)matches for urban ecological management: a case study in the Zhengzhou–Kaifeng–Luoyang cities.Remote Sens (Basel), 14(7): 1703
https://doi.org/10.3390/rs14071703
|
73 |
X, Yan L Li (2023). Spatiotemporal characteristics and influencing factors of ecosystem services in Central Asia.J Arid Land, 15(1): 1–19
https://doi.org/10.1007/s40333-022-0074-0
|
74 |
X, Yan C, Liu Z, Han X, Li J Zhong (2023). Spatiotemporal assessment of ecosystem services supply–demand relationships to identify ecological management zoning in coastal city Dalian, China.Environ Sci Pollut Res Int, 30(23): 63464–63478
https://doi.org/10.1007/s11356-023-26704-z
|
75 |
H, Yang X, Zhong S, Deng S Nie (2022a). Impact of LUCC on landscape pattern in the Yangtze River Basin during 2001–2019.Ecol Inform, 69: 101631
https://doi.org/10.1016/j.ecoinf.2022.101631
|
76 |
M, Yang X, Zhao P, Wu P, Hu X Gao (2022b). Quantification and spatially explicit driving forces of the incoordination between ecosystem service supply and social demand at a regional scale.Ecol Indic, 137: 108764
https://doi.org/10.1016/j.ecolind.2022.108764
|
77 |
D, Yin H, Yu Y, Shi M, Zhao J, Zhang X Li (2023). Matching supply and demand for ecosystem services in the Yellow River Basin, China: a perspective of the water-energy-food nexus.J Clean Prod, 384: 135469
https://doi.org/10.1016/j.jclepro.2022.135469
|
78 |
H, Yu W, Xie L, Sun Y Wang (2021). Identifying the regional disparities of ecosystem services from a supply-demand perspective.Resour Conserv Recycling, 169: 105557
https://doi.org/10.1016/j.resconrec.2021.105557
|
79 |
Y, Yuan Z, Bai J, Zhang Y Huang (2023). Investigating the trade-offs between the supply and demand for ecosystem services for regional spatial management.J Environ Manage, 325: 116591
https://doi.org/10.1016/j.jenvman.2022.116591
|
80 |
J, Zhang C, He Q, Huang J, Li T Qi (2022a). Evaluating the supply and demand of cultural ecosystem services in the Tibetan Plateau of China.Landsc Ecol, 37(8): 2131–2148
https://doi.org/10.1007/s10980-022-01467-z
|
81 |
L, Zhang J Li (2022). Identifying priority areas for biodiversity conservation based on Marxan and InVEST model.Landsc Ecol, 37(12): 3043–3058
https://doi.org/10.1007/s10980-022-01547-0
|
82 |
S, Zhang Y, Wang Y, Wang Z, Li Y Hou (2023). Spatiotemporal evolution and influencing mechanisms of ecosystem service value in the Tarim River Basin, northwest China.Remote Sens (Basel), 15(3): 591
https://doi.org/10.3390/rs15030591
|
83 |
X, Zhang P, Chen S, Dai Y Han (2022b). Assessment of the value of regional water conservation services based on SWAT model.Environ Monit Assess, 194(8): 559
https://doi.org/10.1007/s10661-022-10247-w
|
84 |
X, Zhang G, Zhang X, Long Q, Zhang D, Liu H, Wu S Li (2021). Identifying the drivers of water yield ecosystem service: a case study in the Yangtze River Basin, China.Ecol Indic, 132: 108304
https://doi.org/10.1016/j.ecolind.2021.108304
|
85 |
Y, Zhao N, Wang Y, Luo H, He L, Wu H, Wang Q, Wang J Wu (2022). Quantification of ecosystem services supply-demand and the impact of demographic change on cultural services in Shenzhen, China.J Environ Manage, 304: 114280
https://doi.org/10.1016/j.jenvman.2021.114280
|
86 |
L, Zheng H, Liu Y, Huang S, Yin G Jin (2020). Assessment and analysis of ecosystem services value along the Yangtze River under the background of the Yangtze River protection strategy.J Geogr Sci, 30(4): 553–568
https://doi.org/10.1007/s11442-020-1742-7
|
87 |
L, Zhou D, Guan X, Yuan M, Zhang W Gao (2021). Quantifying the spatiotemporal characteristics of ecosystem services and livelihoods in China’s poverty-stricken counties.Front Earth Sci, 15(3): 553–579
https://doi.org/10.1007/s11707-020-0832-2
|
88 |
L, Zhou H, Zhang G, Bi K, Su L, Wang H, Chen Q Yang (2022). Multiscale perspective research on the evolution characteristics of the ecosystem services supply-demand relationship in the Chongqing section of the three gorges reservoir area.Ecol Indic, 142: 109227
https://doi.org/10.1016/j.ecolind.2022.109227
|
89 |
Y Zhu (2022). Social value evaluation of ecosystem services in global geoparks based on SolVES model.Math Probl Eng, 2022: 9748880
https://doi.org/10.1155/2022/9748880
|
90 |
W, Zou Y, He B, Ye X, Zhao D, Xu R, Xiao Y Duan (2021). Study on carbon storage of ecosystem in Qianjiangyuan national park based on InVEST model.J Cent South Univ, 41: 120–128
|
91 |
Z Y, Zou Y, Xiao Z Y, Ouyang C S, Song K L Wang (2019). Evaluation of the effectiveness of ecological protection in Qiandongnan Miao-Dong Autonomous Prefecture.Acta Ecol Sin, 39(4): 1407–1415
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