Simulation of the future evolution track of “production–living–ecological” space in coastal cities based on multimodel coupling and wetland protection scenarios DOI Creative Commons
Yitong Yin,

Rongjin Yang,

Zechen Song

et al.

Geography and sustainability, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 1, 2024

Language: Английский

The impact of land-use change on the ecological environment quality from the perspective of production-living-ecological space: A case study of the northern slope of Tianshan Mountains DOI Creative Commons
Yu Cao, Mingyu Zhang, Zhengyong Zhang

et al.

Ecological Informatics, Journal Year: 2024, Volume and Issue: 83, P. 102795 - 102795

Published: Aug. 25, 2024

Language: Английский

Citations

13

Study on function evolution and coupling coordination degree of “Three Lives Space” in the upper reaches of Yangtze River in China DOI
Wenyu Li,

Lixia Tao,

Chuanhao Wen

et al.

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(9), P. 13026 - 13045

Published: Jan. 19, 2024

Language: Английский

Citations

8

Detecting Long-Term Series Eco-Environmental Quality Changes and Driving Factors Using the Remote Sensing Ecological Index with Salinity Adaptability (RSEISI): A Case Study in the Tarim River Basin, China DOI Creative Commons
Wen Chen,

Jinjie Wang,

Jianli Ding

et al.

Land, Journal Year: 2023, Volume and Issue: 12(7), P. 1309 - 1309

Published: June 28, 2023

Ecological challenges resulting from soil salinization in the Tarim River Basin (TRB), exacerbated by climate change and human activities, have emphasized need for a quick accurate assessment of regional ecological environmental quality (EEQ) driving mechanisms. To address this issue, study has developed remote-sensing index with salinity adaptability (RSEISI) EEQ integrating comprehensive (CSI) into (RSEI). The RSEISI enhances sensitivity characterizes surface features arid regions, thus expanding applicability. Then, we used time-series analysis methods geodetector to quantify spatial temporal trends factors TRB 2000 2022. results show that adaptation effectively monitors TRB. displayed situation oasis expansion, desert deterioration, glacier melting, multiyear average grades were dominated medium poor saline areas, while medium, good, excellent concentrated mountainous areas. Looking at trend conjunction land-use types, showed mild degradation mainly unused land, followed improvement cropland grassland. Hurst indicated most areas will improve future. Soil type, land use, precipitation, temperature considered be key affecting across TRB, changes found interaction multiple factors. This may provide innovative concepts methodologies, scientific technological support management, green development models northwest zone.

Language: Английский

Citations

12

Multi-scenario simulation and eco-environmental effect analysis of “Production–Living–Ecological space” based on PLUS model: A case study of Anyang City DOI Creative Commons
Lei Li,

Genming Li,

Guangxing Ji

et al.

Open Geosciences, Journal Year: 2025, Volume and Issue: 17(1)

Published: Jan. 1, 2025

Abstract By simulating the layout of “Production–Living–Ecological space” under various scenarios in future and exploring trend land use changes, it is great significance to optimize structure ecological environment region. Based on existing data combined with PLUS model, article predicts demand distribution PLES 2040 2060 then studies contribution rate area changes each type change regional quality. The results show that (1) agricultural production main Anyang City from 1980 2020, conversion mainly manifested as living land. (2) In all three scenarios, between 2020 are contraction expansion protection scenario smallest, decrease urban development largest. (3) 2060, varying degrees reduction Ecological quality index (EQI) compared 2020. At same time, environmental closely related (4) result multi-factors, among which annual precipitation has strongest explanatory power, factors synergistic effects. present study intended provide a reference for optimizing pattern region improving

Language: Английский

Citations

0

A Multi-Scenario Simulation and Driving Factor Analysis of Production–Living–Ecological Land in China’s Main Grain Producing Areas: A Case Study of the Huaihe River Eco-Economic Belt DOI Creative Commons
Wenfeng Hu, Junhao Cheng,

Mengtian Zheng

et al.

Agriculture, Journal Year: 2025, Volume and Issue: 15(3), P. 349 - 349

Published: Feb. 6, 2025

The Huaihe River Eco-Economic Belt (HREEB) is a pivotal region in China’s national strategic planning. Land use this crucial to improving ecological quality and ensuring food security. Using the PLUS model Geodetector, we evaluated contribution interaction of 10 drivers production–living–ecological land (PLEL) performed multi-scenario simulations PLEL. results show that following: (1) Ecological mainly affected by elevation (contribution value > 0.16 for forest, grassland, water). Production influenced topographic relief, elevation, GDP per capita 0.13). Living driven capita, population density Interaction analysis shows nonlinear or two-factor enhancement among factors. (2) HREEB has relatively stable spatial pattern. Simulation indicate will not exceed 12% change next 50 years. (3) By 2075, under various scenarios predict significant changes area. Compared with natural development scenario, production increased 14.8% farmland protection living 14.3% urban scenario. This research vital managing developing PLEL resources within HREEB.

Language: Английский

Citations

0

Editorial: Remote sensing in ecological environments: innovations and achievements DOI Creative Commons
Chengye Zhang, Jun Li, Weimin Huang

et al.

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 13

Published: March 4, 2025

Language: Английский

Citations

0

Spatiotemporal Evolution of Production–Living–Ecological Land and Its Eco-Environmental Response in China’s Coastal Zone DOI Creative Commons
Fengshuo Yang, Xiaomei Yang, Zhihua Wang

et al.

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(12), P. 3039 - 3039

Published: June 10, 2023

High-intensity human activities have caused dramatic transformations of land function in China’s coastal zone, putting enormous pressure on the region’s ecological environment. It is urgent to fully understand spatiotemporal evolution land-use zone promote sustainable development. Therefore, based CNLUCC data for 2000, 2010, and 2020, this study quantitatively explored production–living–ecological (PLEL) its eco-environmental response by using multiple analysis methods, gradient analysis, quality index. The results showed that over past 20 years, production (PL) continued decrease, whereas living (LL) blue (BEL) increased. In vertical direction, PL (EL) dominated northern southern respectively. horizontal with increasing distance from coastline, green (GEL) increased, it was opposite BEL. PLEL were high low frequency north south, From 2000 slightly degraded, conditions “excellent south poor north”. qualities each sub-coastal gradually improved coastline. main transformation types led improvement degradation other lands (OPL) BEL OPL, findings will guide planning, protection, science-based usage.

Language: Английский

Citations

8

Unveiling the Dynamics of Rural Revitalization: From Disorder to Harmony in China’s Production-Life-Ecology Space DOI Creative Commons
Ningning Liu, Qikang Zhong, Kai Zhu

et al.

Land, Journal Year: 2024, Volume and Issue: 13(5), P. 604 - 604

Published: April 30, 2024

This study utilizes provincial panel data from China spanning the period 2011 to 2020 assess coupled and coordinated development of spatial functions related production, life, ecology (PLE) in rural areas. The assessment is based on quantifying function indices for PLE China’s regions. Additionally, it examines characteristics their temporal evolution, correlation, driving factors. findings indicate a modest upward trend coupling coordination levels these across China, although significant proportion provinces still exhibit near-disordered decline. Exploratory analysis reveals geographical disparity, with higher observed eastern regions, lower west, noticeable clustering. By employing Durbin model investigate determinants degrees, we discovered that factors such as regional economic development, urbanization, urban–rural income gap, financial support agriculture, science technology investment level, agricultural structural adjustments significantly influence functions. Furthermore, using geographic detector model, identifies agriculture key drivers influencing These provide valuable reference points policies strategies management.

Language: Английский

Citations

3

Study on the Spatial and Temporal Evolution Characteristics and Driving Factors of the “Production–Living–Ecological Space” in Changfeng County DOI Open Access
Tao Hong,

Ningli Liang,

H. Li

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(13), P. 10445 - 10445

Published: July 3, 2023

The rapid development of industrialization and urbanization aggravates the tension human–land relationships, leading to increasingly prominent contradictions a serious imbalance in relationship among production–living–ecological space (PLES). study county PLES is important for guiding spatial layout optimization national land as well promoting integrated urban rural areas. This can be made more accurate, comprehensive, visualized by using transfer matrix, use dynamic attitude, barycenter migration model. Research results have shown that type Changfeng County was dominated production living from 2000 2020. area decreased most, 16.3044 km2, ecological increased 50.175 within which single attitude first positive then negative, with drastic changes fastest expansion rate. mainly based on out in; longest distance most obvious change center gravity 10 years period, showing trend toward southeastern town Xiatang. In addition, population, increase proportion tertiary industry structures, policy regulation are dominant factors county. provides basis support rational resources balanced coordinated people County, currently implementing unbalanced development.

Language: Английский

Citations

5

Assessing Eco-Environmental Effects and Its Impacts Mechanisms in the Mountainous City: Insights from Ecological–Production–Living Spaces Using Machine Learning Models in Chongqing DOI Creative Commons
Shuang Zhang, Shaobo Liu, Qikang Zhong

et al.

Land, Journal Year: 2024, Volume and Issue: 13(8), P. 1196 - 1196

Published: Aug. 4, 2024

In the face of accelerating land use changes, conflicts between patterns and eco-environment are increasingly pronounced. By calculating quality index (EQI) adopting ecological–production–living spaces (EPLS) framework, we evaluate changes within Chongqing’s central urban area from 2000 to 2020. The study employs a random forest model elucidate mechanisms influencing quality. findings reveal following: (1) Living have expanded by 361.53 km2, while production ecological been experiencing significant reduction 331.42 km2 30.11 over two decades. (2) has steadily declined 0.3665 in 0.3501 2020, indicating degradation overall There is notable spatial variation quality, typically displaying “low center–high periphery” pattern. (3) Pesticide usage, grain production, added value primary industry factors affecting this provide valuable insights for global planning environmental management. Rapidly, change regions worldwide similar economic growth sustainability. This research underscores need integrated policies that balance development with preservation. methodologies can inform international efforts optimize patterns, improve achieving sustainable goals, offering adaptable strategies policymakers planners globally.

Language: Английский

Citations

1