Unravelling the non-linear response of ecosystem services to urban-rural transformation in the Beijing-Tianjin-Hebei region, China DOI Creative Commons
Yuxing Yan, Yuanyuan Yang,

Mingying Yang

и другие.

Ecological Informatics, Год журнала: 2024, Номер 81, С. 102633 - 102633

Опубликована: Май 9, 2024

In our transforming world, ecosystem services (ESs) and biodiversity are threatened by urban sprawl with rapid urban-rural transformation (URT), jeopardizing human well-being. Understanding the effect of URT on ESs is critical, particularly in areas that have undergone urbanization. Taken Beijing-Tianjin-Hebei (BTH) region China as a typical case, this study measures from population-land-industry perspective elucidates influence each index at different stages. The process experienced decline population growth, an increase land urbanization, stability non-agriculturalization rate. particular, reveals intricate complex non-linear relationship between ESs. negatively affects grain production (GP), habitat quality (HQ), soil retention (SR), carbon sequestration (CS) has positive impact water yield (WY). Furthermore, it was found response threshold to URTIs increased over time, indicating can maintain certain degree resilience face activities. However, ensuring continued increasingly depends implementation effective management protection measures. This advances knowledge dynamics rapidly urbanizing provides valuable insights for policymakers planners guide sustainable development resource management.

Язык: Английский

Detection and Attribution of Vegetation Dynamics in the Yellow River Basin Based on Long-Term Kernel NDVI Data DOI Creative Commons
Haiying Yu,

Qianhua Yang,

Shouzheng Jiang

и другие.

Remote Sensing, Год журнала: 2024, Номер 16(7), С. 1280 - 1280

Опубликована: Апрель 5, 2024

Detecting and attributing vegetation variations in the Yellow River Basin (YRB) is vital for adjusting ecological restoration strategies to address possible threats posed by changing environments. On basis of kernel normalized difference index (kNDVI) key climate drivers (precipitation (PRE), temperature (TEM), solar radiation (SR), potential evapotranspiration (PET)) basin during period from 1982 2022, we utilized multivariate statistical approach analyze spatiotemporal patterns dynamics, identified variables, discerned respective impacts change (CC) human activities (HA) on these variations. Our analysis revealed a widespread greening trend across 93.1% YRB, with 83.2% exhibiting significant increases kNDVI (p < 0.05). Conversely, 6.9% vegetated areas displayed browning trend, particularly concentrated alpine urban areas. With Hurst exceeding 0.5 97.5% areas, YRB tends be extensively greened future. Climate variability emerges as pivotal determinant shaping diverse spatial temporal patterns, PRE exerting dominance 41.9% followed TEM (35.4%), SR (13%), PET (9.7%). Spatially, increased significantly enhanced growth arid zones, while controlled non-water-limited such irrigation zones. Vegetation dynamics were driven combination CC HA, relative contributions 55.8% 44.2%, respectively, suggesting that long-term dominant force. Specifically, contributed seen region southeastern part basin, human-induced factors benefited Loess Plateau (LP) inhibiting pastoral These findings provide critical insights inform formulation adaptation conservation thereby enhancing resilience environmental conditions.

Язык: Английский

Процитировано

11

Multi-scenario simulation and evaluation of the impacts of land use change on ecosystem service values in the Chishui River Basin of Guizhou Province, China DOI Creative Commons

Chao Wu,

Zhijie Wang

Ecological Indicators, Год журнала: 2024, Номер 163, С. 112078 - 112078

Опубликована: Апрель 29, 2024

Changes in land-use patterns are the main driving factors of ecosystem service values (ESVs). The quantitative evaluation ESVs is significant for sustainable development ecologically fragile areas. In this study, Chishui River Basin (CRB) China was selected as study region, and an intensity map (IM) used to analyze transformation land use/land cover (LULC). modified equivalent coefficient value method evaluate based on 2000, 2010, 2020 use datasets. spatial temporal distributions ESV its response changes LULC were analyzed using Getis-Ord Gi* statistical Spearman's rank correlation analysis. Moreover, over next 30 years four scenarios simulated Markov-PLUS model. following results obtained: 1) farmland forestland dominant categories, that pattern dramatically changed area; 2) total CRB decreased significantly from 23.21 billion yuan 2000 22.29 2020; 3) ecological conservation scenario promoted ESV, town more conducive urbanization process. Therefore, although showed a decreasing slowly increasing trend context series restoration measures, scientific protection policies must be continuously implemented achieve harmony between improvement development. Our provide important information making decisions facilitating protected basins.

Язык: Английский

Процитировано

11

Spatiotemporal Analysis of the Interactions between Ecosystem Services in Arid Areas and Their Responses to Urbanization and Various Driving Factors DOI Creative Commons

Ziyun Qiu,

Yunlan Guan,

Kefa Zhou

и другие.

Remote Sensing, Год журнала: 2024, Номер 16(3), С. 520 - 520

Опубликована: Янв. 29, 2024

In recent years, rapid urban expansion and increasing ecological sensitivity in arid zones have led to extreme imbalances ecosystem development. Therefore, there is an urgent need balance the dual goals of synergistic development services (ESs) increased urbanization. Previous studies analyzed impacts urbanization on ESs but selected a limited number indicators not focused ES pair interactions. this study, six key (water yield, habitat quality, soil conservation, carbon storage, sequestration oxygen production, food production) total (TESs) were selected, trends temporal spatial relationship between trade-offs synergies over 20 years. This study refined living standards indicator evaluated impact multiple drivers interrelationships based geo-detectors segmented linear regression. The results show that heterogeneity overall regional relationships, water yield (WY)-related pairs generally exhibit relationships at level. Spatially, however, trade-off ratio exceeds synergy ratio. Segmented regression all TESs demonstrates upward trend followed by downward trend. Measures such as increase man-made oases early stages did some positive effects TESs. However, increased, these quickly offset negative overdevelopment environmental degradation, leading decline Urbanization construction land (CL) had most direct services. summary, due special climatic constraints, are more sensitive than other ecosystems, strictly oasis capacity. As cities expand, attention needs be protecting limiting CL promote zones.

Язык: Английский

Процитировано

9

Identification of Ecological Sources Using Ecosystem Service Value and Vegetation Productivity Indicators: A Case Study of the Three-River Headwaters Region, Qinghai–Tibetan Plateau, China DOI Creative Commons

Xinyi Feng,

Huiping Huang,

Yingqi Wang

и другие.

Remote Sensing, Год журнала: 2024, Номер 16(7), С. 1258 - 1258

Опубликована: Апрель 2, 2024

As a crucial component of the ecological security pattern, source (ES) plays vital role in providing ecosystem service value (ESV) and conserving biodiversity. Previous studies have mostly considered ES only from either landscape change pattern or function perspectives, ignored their integration spatio-temporal evolutionary modeling. In this study, we proposed multi-perspective framework for characteristics by ESV incorporating aesthetics, carbon sink characteristics, quality, kernel NDVI (kNDVI). By integrating revised normalized difference vegetation index as foundation, employed spatial priority model to identify ES. This improvement aims yield more practical specific result. Applying Three-River Headwaters Region (TRHR), significant sources has been observed 2000 2020. performance provided reference conservation TRHR. The results indicate that identification reliable accuracy efficiency compared with existing NRs method could reveal precise distributions ES, enhancing integrity technical modeling support developing cross-scale planning management strategies nature reserve boundaries. our research serve building networks other ecologically fragile areas.

Язык: Английский

Процитировано

9

Improving grassland ecosystem services for human wellbeing in the karst desertification control area: Anthropogenic factors become more important DOI
Wenfang Zhang, Kangning Xiong, Yongyao Li

и другие.

The Science of The Total Environment, Год журнала: 2024, Номер 946, С. 174199 - 174199

Опубликована: Июнь 24, 2024

Язык: Английский

Процитировано

9

Analysis of Coupled Coordination and Driving Factors of Urbanization, Ecosystem Services, and Human Well-Being in the High and Coarse Sediment Yield in the Middle Yellow River DOI Creative Commons
Hong Cao,

Qiuchen Zhu,

Hua Bai

и другие.

Land, Год журнала: 2025, Номер 14(1), С. 100 - 100

Опубликована: Янв. 7, 2025

The ecological and social problems brought about by China’s rapid urbanization process threaten sustainable development. Taking the cities with high coarse sediment yield in middle reaches of Yellow River as research objects, this study constructed a complex analytical framework composed urbanization, ecosystem service value (ESV), human well-being (HBW) subsystems. equivalent factor method (EFM) was used to evaluate ESV. entropy weight (EWM) comprehensive nighttime light index (CNLI) were adopted assess level well-being. Then, coupled coordination degree (CCD) grey relational modes developed reveal major obstacles synergistic results showed that, from 2000 2020, ESV, HWB increased. average CCD grew 0.34 0.56, higher levels northeast south. coordinated development is influenced multiple factors, intensity driving factors decreasing order industrial structure, population quality, economic drive, government regulation, scientific technological support. indicate that it essential formulate differentiated regionally strategies establish cross-regional cooperation mechanisms achieve interactive urban development, protection, improvements River.

Язык: Английский

Процитировано

1

Spatiotemporal Relationship Between Carbon Metabolism and Ecosystem Service Value in the Rural Production–Living–Ecological Space of Northeast China’s Black Soil Region: A Case Study of Bin County DOI Creative Commons

Yajie Shang,

Yuanyuan Chen,

Yalin Zhai

и другие.

Land, Год журнала: 2025, Номер 14(1), С. 199 - 199

Опубликована: Янв. 19, 2025

Amid global climate challenges and an urgent need for ecological protection, the northeastern black soil region—one of world’s remaining “three major regions”—confronts significant tensions between agricultural economic development land threatening national food security. Based on “production–ecology–life” (PLE) classification system, this study established a dual-dimensional evaluation carbon metabolism ESV in horizontal vertical dimensions. The flow was traced across different ecosystems, while spatial temporal dynamics were analyzed vertically. Spatial autocorrelation analyses employed to examine interaction patterns ESV. findings reveal that (1) cropland production space remains dominant type, exhibiting fluctuating size other types, with notable reduction water space. (2) From 2000 2020, high-value density areas primarily concentrated central region, low-value gradually decreased size. Cropland urban living served as key compartments pathways transfer two periods, respectively. (3) total ecosystem service value (ESV) showed downward trend, decreasing by CNY 1.432 billion from 2020. distribution pattern indicates high values center northwest, contrasting lower southeast. forest represents main loss pathway. (4) A negative correlation exists ESV, predominantly centered around This provides scientific foundation addressing facing achieving synergistic resource use pursuit neutrality, constructing more low-carbon sustainable pattern.

Язык: Английский

Процитировано

1

A Prediction–Interaction–Driving Framework for Ecosystem Services Under Climate Change and Human Activities: A Case Study of Zoigê County DOI Creative Commons
Wanting Zeng, Li He, Zhengwei He

и другие.

Land, Год журнала: 2025, Номер 14(3), С. 441 - 441

Опубликована: Фев. 20, 2025

Under climate change and human activities, ecosystem service (ES) research lacks systematic approaches scientific depth. This study develops a comprehensive framework integrating advanced models to predict ESs, analyze interactions, identify key drivers, assess spatial effects on the Zoigê Plateau. The results indicate following: (1) From 2000 2020 across three 2040 scenarios, water conservation (WC) improves, while carbon storage (CS) habitat quality (HQ) decline, leading overall ES degradation. Core areas face rising degradation risks from 9% 29% under increasing environmental stress (SSP119 SSP585). (2) importance follows HQ > CS SC WC, with bivariate interactions outperforming single-factor effects. Future scenarios show weakened correlating higher ecological stress, indicating stability risks. (3) Land use (>40% explanatory power) is primary driver, urban expansion, slope, evapotranspiration, precipitation contribute (6–12%). (4) drivers showed weak patterns but became more stable future suggesting stronger control. provides methodological paradigm for analysis supports planning in alpine wetland–grassland regions.

Язык: Английский

Процитировано

1

Scale effects on the supply–demand mismatches of ecosystem services in Hubei Province, China DOI Creative Commons
He Guoyu, Lei Zhang, Xiaojian Wei

и другие.

Ecological Indicators, Год журнала: 2023, Номер 153, С. 110461 - 110461

Опубликована: Июнь 10, 2023

Understanding the patterns, relationships, and driving forces between ecosystem services (ESs) supply–demand at multiple spatial scales can facilitate sustainable hierarchical management. However, scale effects of ESs mismatches were typically ignored, resulting in inadequate targeted promotion policies. This study identified key (grain production, water yield, carbon sequestration, soil conservation) using ecological ratio bivariate Moran's I three grid county from 2000 to 2020 Hubei Province, China. Then regression models applied explore these mismatches. The major results revealed that (1) Province counties located away urban areas self-sufficient supply–demand, but numbers declined over twenty years. characteristics some patches may be obscured coarser scales. (2) directions socioecological drivers robust, their intensities changed significantly four normalized difference vegetation index was primary positive driver fine scale, while population, economy, proportion construction land became dominant Factors influencing more diverse compared coarse scale. (3) Efficient strategies scale-dependent place-based. Different management units should clarify responsibilities strengthen linkages upper lower levels achieve development. At provincial level, strengthening interregional cooperation allocating surplus grain resources southwest regions contributes balancing regional ESs. adopting region-specific based on delineating zones is crucial. finer levels, incorporating micro-scale mismatch locations natural background information provide valuable guidance for localized protection restoration projects. findings underscore strengths conducting assessments scales, enabling different government enhance effective prevent misinformation.

Язык: Английский

Процитировано

22

Analysis of coupling coordination and obstacle factors between tourism development and ecosystem services value: A case study of the Yellow River Basin, China DOI Creative Commons
Xiaorong He, Chaoyue Cai, Jianxiong Tang

и другие.

Ecological Indicators, Год журнала: 2023, Номер 157, С. 111234 - 111234

Опубликована: Ноя. 16, 2023

The rapid development of tourism has caused a series impacts on the ecosystem. Although studies relationship between (TD) and ecological environment are rich, few scholars have focused coupling coordination them from perspective ecosystem services value (ESV). Given this research gap, we evaluated levels TD ESV in 78 cities Yellow River Basin (YRB), China based statistical land-use data. Then, degree (CCD) model, exploratory spatial data analysis (ESDA), variogram obstacle model were used to analyze spatiotemporal evolution its factors. results show following: (1) comprehensive level shows an upward trend presents significant differentiation characteristics. total YRB fluctuating trend, average pattern uplift middle reaches. (2) CCD gradually improved, but gap widened. global autocorrelation is significantly positive, variability increased. An "uplift area" southern Shaanxi always exists expanded Shanxi western Henan, while eastern Henan Shandong become "subsidence area". changed uncoordinated coordinated most counties, problem imbalance generally exists. (3) For whole basin, main factor at system layer, scale economic benefit obstacles category layer. At city level, proportion where exceeds 80% by 2019. Specifically, insufficient low efficiency restrict improvement cities. This provides valuable references for studying TU big river basins worldwide.

Язык: Английский

Процитировано

22