Analysis of the Interrelationships and Drivers of Ecosystem Services in the Heihe River Basin DOI Open Access
Yuxiang Yan, Xiaohuang Liu, Tao Lin

и другие.

Sustainability, Год журнала: 2025, Номер 17(5), С. 1942 - 1942

Опубликована: Фев. 25, 2025

The preservation and enhancement of ecosystem services are essential for maintaining ecological balance sustainable growth. Heihe River Basin (HRB) is important security in Northwest China, yet a fragile environment. Understanding the dynamics evolution ESs vital balancing resource exploitation, socioeconomic development, protection. Using InVEST model, we calculated water yield, habitat quality, carbon stock HRB during 2000–2020 examined shifts services. Trade-offs synergies among were assessed using GeoDa key drivers identified through geodetector model. spatial distribution storage varied significantly, with high values concentrated upstream Qilian Mountains low downstream desert areas. High clusters stable, yield increased subsequently decreased, quality fluctuated. Carbon storage, exhibited synergistic relationship. Climate topography, particularly vapor emissions elevation, primary factors influencing ESs, while had lesser impact. These findings provide valuable insights management conservation other arid inland watershed regions.

Язык: Английский

Spatiotemporal heterogeneity of ecosystem service interactions and their drivers at different spatial scales in the Yellow River Basin DOI
Qi Liu, Jiajun Qiao, Mengjuan Li

и другие.

The Science of The Total Environment, Год журнала: 2023, Номер 908, С. 168486 - 168486

Опубликована: Ноя. 10, 2023

Язык: Английский

Процитировано

89
Identification of Ecological Functional Areas and Scenario Simulation Analysis of the Wanjiang Urban Belt from a Trade-Off/Synergy Perspective DOI Creative Commons
Yuchun Wang,

Yvonne Ang,

Yingying Zhang

и другие.

Land, Год журнала: 2025, Номер 14(3), С. 444 - 444

Опубликована: Фев. 20, 2025

Identifying ecological functional areas by clarifying the trade-off synergies of multiple ecosystem services to meet practical needs coordinating different in a specific region is highly important. Based on InVEST, RUSLE and other models, this study analyzed tradeoff five typical Wanjiang Urban Belt from 1990 2020 using Pearson correlation analysis, self-organizing map (SOM) carried out zoning. The PLUS model was used simulate evolution zones 2030. results revealed that (1) 2020, water yield (WY), soil reservation (SR), food production (FP) increased, whereas carbon storage (CS) habitat quality (HQ) decreased. value showed pattern “high south low north”. (2) WY–SR, WY–HQ, HQ–CS, HQ–SR were synergistic, synergistic relationship weakening trend. There trade-offs WY–CS, WY–FP, SR–FP, effects increased with time. (3) area divided into an transition area, conservation urban development restoration agroecological functions structures each cluster significantly differed. (4) Under natural scenario, scales transition, conservation, increased. cropland protection began transform areas. transfer restoration, In conclusion, are dominated effects, but there potential risk shifting relationships. future, targeted regional optimization measures according status zone urgently needed provide references for territorial space management control region.

Язык: Английский

Процитировано

2
Identifying and optimizing ecological security patterns from the perspective of the water-energy-food nexus DOI
Tonghui Ding, Junfei Chen, Liping Fang

и другие.

Journal of Hydrology, Год журнала: 2024, Номер 632, С. 130912 - 130912

Опубликована: Фев. 15, 2024

Язык: Английский

Процитировано

17
Spatiotemporal heterogeneity in ecosystem service trade-offs and their drivers in the Huang-Huai-Hai Plain, China DOI Creative Commons

Jianmin Qiao,

Longyun Deng,

Haimeng Liu

и другие.

Landscape Ecology, Год журнала: 2024, Номер 39(3)

Опубликована: Фев. 17, 2024

Abstract Context Uncovering the trade-offs among ecosystem services (ESs) is crucial for enhancing overall ES benefits and human well-being, as well improving regional landscape sustainability. However, research on whether relationships service (ES) change across spatial temporal dimensions has been infrequent, particularly at fine scales. Objectives Our study aims to investigate spatiotemporal heterogeneity in trade-off strength their influencing factors Huang-Huai-Hai Plain. Methods In this study, we analyzed evolution patterns of four ESs: food provision (FP), soil conservation (SC), carbon sequestration (CS), water yield (WY) years 2000, 2010, 2020. We utilized root mean square error, automatic linear models geographically weighted regression quantify strengths ESs uncover primary influences evolution. Results The including FP_SC CS_SC, were relatively high, southwest region, surpassing 0.5. High-value regions FP_WY WY_CS predominantly concentrated north, while WY_SC was mainly located south. Spatial apparent ESs. NDVI positively influenced degree western region but had a negative impact central region. Enhancing configuration reduce involves diversifying adding complexity shape southwestern areas by adjusting richness shape. Regarding activities, economic development would gradually encourage coordination FP_WY. Conclusions suggested that although may remain constant, predominant type intensity vary both space time. Precipitation emerged This contributes balancing facilitates pursuit

Язык: Английский

Процитировано

16
A new model based on coupling coordination analysis incorporates the development rate for urbanization and ecosystem services assessment: A case of the Yangtze River Delta DOI Creative Commons
Zhijie Yang,

Jingxuan Hu,

Zi-An Wang

и другие.

Ecological Indicators, Год журнала: 2024, Номер 159, С. 111596 - 111596

Опубликована: Янв. 25, 2024

Understanding the dynamic relationship between ecosystem service supply and urbanization demand, identifying underlying influencing mechanisms are crucial for sustainable development in global process. However, current studies mainly focused on coupling coordination of situation, rather than system. Thus, we introduced concept degree (DCCD) to address research gap. This study calculated rates composite index (ESSCI) demand (UDDCI) from 2000 2020 construct DCCD model case Yangtze River Delta region. Subsequently, analysed inherent causing regional differences DCCD. Our results indicated that (1) ESSCI UDDCI showed spatiotemporal heterogeneity, rate had significant north south, decreased east west. (2) In 2020, notable existed northern southern region, with zone being lower. The situation improved 2005 2015. (3) Global habitat quality a impact coordination. north, annual water yield significantly influenced coordination, while carbon sequestration it. These factors related land use. We into old achieve goals.

Язык: Английский

Процитировано

12
Spatial and temporal characteristics and driving mechanisms of recreational ecosystem services supply-demand mismatch in rapidly urbanizing areas: Evidence from the Yangtze River Delta DOI Creative Commons

Ruien Tang,

Guolin Hou,

Yueyi Chen

и другие.

Ecological Indicators, Год журнала: 2025, Номер 171, С. 113153 - 113153

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

1
Exploring Trade-Offs/Synergies and Drivers of Ecosystem Services in the Dongting Lake Area, China DOI Open Access
Ying Huang, Xinsheng Chen, Lianlian Zhu

и другие.

Sustainability, Год журнала: 2025, Номер 17(4), С. 1650 - 1650

Опубликована: Фев. 17, 2025

Identifying ecosystem service trade-offs/synergies and their influencing factors are prerequisites for formulating scientific management strategies. We selected Dongting Lake Area as the study area, quantified four key ESs dynamics, including food production (FP), soil conservation (SC), habitat quality (HQ) ecological leisure (EL), identified relationships between paired services using Spearman correlation coefficients, analyzed how various drivers impact trade-offs synergies by leveraging spatial panel data models; we also implemented zoning superposition analysis on services, these drivers. The results showed that FC SC displayed synergy before a trade-off over period 2000–2022. FP–HQ HQ–EL initially synergy, then trade-off, again. Spatially, ratios of FP–HQ, SC–HQ, exceeded ratios, areas existed around Lake. direct or indirect effects DEM, slope, precipitation, population density have greatest effect pairs. Furthermore, DTLA was divided into unbalance, conservation, areas. These finding may provide critical insights to balance socio-economic progress in Area.

Язык: Английский

Процитировано

1
Spatial drivers of ecosystem services supply-demand balances in the Nanjing metropolitan area, China DOI
Ligang Lv, Hanqiu Xu,

Junjun Zhu

и другие.

Journal of Cleaner Production, Год журнала: 2023, Номер 434, С. 139894 - 139894

Опубликована: Ноя. 30, 2023

Язык: Английский

Процитировано

20
Identifying driving factors of ecosystem service trade-offs in mountainous region of southwestern China across geomorphic and climatic types DOI Creative Commons
Erfu Dai, Yahui Wang

Ecological Indicators, Год журнала: 2024, Номер 158, С. 111520 - 111520

Опубликована: Янв. 1, 2024

Mountainous areas have obvious spatial differences in topography and climate, which could further cause heterogeneity of ecosystem service (ES) trade-offs. The characteristics ES trade-offs had been extensively studied, however, the driving mechanism is still unclear mountainous areas. Focusing on Hengduan Mountain region (HDM) southwest China, this study quantified aggregation effects ESs their using a autocorrelation analysis, identified dominant drives for each trade-off across various geomorphological climatic zones. In terms distribution, significant positive correlation, was mainly manifested as high-high (H-H) low-low (L-L) value aggregations. factors some differed Land use type main factor flat paired water yield (WY) with soil conservation (SC) carbon storage (C). plateau (PLA) mid-subtropical (MS) climate zones, were land types WY C, respectively. Temperature higher contribution C SC For other trade-offs, constant different normalized difference vegetation index (NDVI) net primary productivity (NPP) between habitat quality (HQ) ESs, those among multiple drive, influence decreased increase topographic relief. Therefore, attention should be paid to ecological change future urban planning development. will help guide zoning regional achieve mountain sustainable

Язык: Английский

Процитировано

9
Spatiotemporal Dynamics of Ecosystem Services and Their Trade-Offs and Synergies in Response to Natural and Social Factors: Evidence from Yibin, Upper Yangtze River DOI Creative Commons
Chunhong Tian,

Liheng Pang,

Quanzhi Yuan

и другие.

Land, Год журнала: 2024, Номер 13(7), С. 1009 - 1009

Опубликована: Июль 7, 2024

During the rapid urbanization phase, trade-off between ecosystem services is most severe and also effective stage to implement ecological management. Exploring natural—social driving mechanisms for trade-offs contributes coordinated development of social economy nature. Taking typical mountainous city (Yibin) that currently in phase ecologically fragile as an example, utilizing a combination difference comparison, trade-off–synergy index (TSI), optimal-parameter-based geographical detector model (OPGD), multi-scale geographically weighted regression (MGWR), we spatially assess nature intensity ES relationships explore its social–natural mechanisms. Our findings reveal following: (1) Varied geospatial patterns four ESs—habitat quality (HQ), carbon storage (CS), soil conservation (SC), water yield (WY)—with greatest fluctuations WY. (2) Significant changes over time, showing predominant positive synergies WY-HQ, WY-SC, HQ-CS, negative HQ SC, WY-CS SC-CS. (3) Distinct, time-varying factors different relationships: climate topography WY, vegetation CS, economic HQ, SC. Rapid has diminished role natural factors. (4) The coefficients local various factors, based on which targeted recommendations can be proposed. For instance, establishment interconnected small wetlands green spaces urban areas enhancement multiple ESs. purpose this study provide scientific insights into optimizations key services’ are undergoing urbanization.

Язык: Английский

Процитировано

7