Research on the evolution characteristics, driving mechanisms and multi-scenario simulation of habitat quality in the Guangdong-Hong Kong-Macao Greater Bay based on multi-model coupling

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 924, P. 171263 - 171263

Published: Feb. 28, 2024

Language: Английский

---

A novel framework to evaluate urban-rural coordinated development: A case study in Shanxi Province, China

Habitat International, Journal Year: 2024, Volume and Issue: 144, P. 103013 - 103013

Published: Jan. 24, 2024

Language: Английский

---

Spatiotemporal evolution and driving factors analysis of the eco-quality in the Lanxi urban agglomeration

Ecological Indicators, Journal Year: 2023, Volume and Issue: 156, P. 111114 - 111114

Published: Oct. 23, 2023

An analysis of the spatiotemporal evolution ecological quality and its driving factors in Lanxi urban agglomeration is important for ensuring environmental protection high-quality, sustainable development region. We used moderate resolution imaging spectroradiometer (MODIS) remote sensing images to construct a index (RSEI) using principal component (PCA) reflect agglomeration. The spatial temporal characteristics future changes RSEI study area from 2000 2020 were explored Sen Mann–Kendall test Hurst index, effects natural human on variation analyzed Geodetector geographically weighted regression (GWR) models. There three main results. (1) In past 20 years, annual average value has been increasing at rate 0.0057/a, areas unsatisfactory have reduced. (2) indicates that majority (47.54 % area) will probably experience degradation trend future, with 19.98 improving random occurring 9.45 area. (3) Vegetation type, soil precipitation reasons differentiation RSEI, land use type was influence, influence socioeconomic such as population density gross domestic product (GDP) increased significantly. Vegetation, soil, types positively correlated RSEI. research results are great significance promoting construction an civilization coordinating balance between social protection.

Language: Английский

---

The Dynamic Monitoring and Driving Forces Analysis of Ecological Environment Quality in the Tibetan Plateau Based on the Google Earth Engine

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(4), P. 682 - 682

Published: Feb. 14, 2024

As a region susceptible to the impacts of climate change, evaluating temporal and spatial variations in ecological environment quality (EEQ) potential influencing factors is crucial for ensuring security Tibetan Plateau. This study utilized Google Earth Engine (GEE) platform construct Remote Sensing-based Ecological Index (RSEI) examined dynamics Plateau’s EEQ from 2000 2022. The findings revealed that RSEI Plateau predominantly exhibited slight degradation trend 2022, with multi-year average 0.404. Utilizing SHAP (Shapley Additive Explanation) interpret XGBoost (eXtreme Gradient Boosting), identified natural as primary influencers on Plateau, temperature, soil moisture, precipitation variables exhibiting higher values, indicating their substantial contributions. interaction between temperature showed positive effect RSEI, value increasing rising precipitation. methodology results this could provide insights comprehensive understanding monitoring dynamic evolution amidst context change.

Language: Английский

---

Projecting LUCC dynamics and ecosystem services in an emerging urban agglomeration under SSP-RCP scenarios and their management implications

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 949, P. 175100 - 175100

Published: July 29, 2024

Language: Английский

---

Unraveling nonlinear and spatial non-stationary effects of urban form on surface urban heat islands using explainable spatial machine learning

Computers Environment and Urban Systems, Journal Year: 2024, Volume and Issue: 114, P. 102200 - 102200

Published: Oct. 4, 2024

Language: Английский

---

Quantifying the Impact and Importance of Natural, Economic, and Mining Activities on Environmental Quality Using the PIE-Engine Cloud Platform: A Case Study of Seven Typical Mining Cities in China

Sustainability, Journal Year: 2024, Volume and Issue: 16(4), P. 1447 - 1447

Published: Feb. 8, 2024

The environmental quality of a mining city has direct impact on regional sustainable development and become key indicator for assessing the effectiveness national policies. However, against backdrop accelerated urbanization, increased demand resource development, promotion concept ecological civilization, cities are faced with major challenge balancing economic protection. This study aims to deeply investigate spatial temporal variations its driving mechanisms mineral resource-based cities. utilizes wide coverage multitemporal capabilities MODIS optical thermal infrared remote sensing data. It innovatively develops index (RSEI) algorithm PIE-Engine cloud platform quickly obtain RSEI, which reflects environment. evolution characteristics in seven typical China from 2001 2022 were analyzed. Combined vector mine surface data, variability impacts activities environment quantitatively separated explored. In particular, taken into account by creating buffer zones zoning statistics analyze response relationship between RSEI these factors, including distance area percentage area. addition, drivers 2019 analyzed through Pearson correlation coefficients pixel 10 natural, economic, mining. Regression modeling was performed using random forest (RF) model, ranked order importance factor assessment. results showed that (1) changed significantly during period, negative significant. (2) areas low values closely related (3) generally lower than average level gradually as site increased. (4) increase size initially exacerbates environment, but is weakened beyond certain threshold. (5) most important affecting followed DEM, GDP, precipitation. great advancing formulating strategies.

Language: Английский

---

Contrasting inequality of green spaces and buildings between cities in China

Building and Environment, Journal Year: 2024, Volume and Issue: 254, P. 111384 - 111384

Published: March 11, 2024

Language: Английский

---

Impact of multi-scenario land-use changes on habitat quality evolution in the Yangtze River economic belt

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 12

Published: Jan. 9, 2025

Ecosystems worldwide are facing significant challenges resulting from the dual pressures of global climate change and human activities, particularly in terms biodiversity loss associated with land-use change. Focusing on Yangtze River Economic Belt (YREB), this study uses System Dynamics (SD) - Patch-generating Land Use Simulation (PLUS) model to simulate development under different scenarios shared socio-economic pathways (SSPs) representative concentration (RCPs) 2030 2050. Furthermore, InVEST is applied evaluate changes habitat quality (HQ) over period 2000 A hotspot analysis further highlights spatial heterogeneity HQ within YREB. The showed that pattern YREB 2020 2050 will be dominated by cropland eastern region, grassland north-west, forest land central southern regions, a steady increase built-up east. index exhibits gradual east west, ultimately declining 0.726 SSP585 scenario for This trend reflects moderate degradation (HD), degree shifting towards lower higher proportions HQ. Spatial reveals region identified as cold spot, categorized non-significant, while western emerges hot where exceeds 40%. These findings offer scientific foundation promoting high-quality enhancing conservation

Language: Английский

---

Non-linear effects of multi-dimensional urbanization on ecosystem services in mega-urban agglomerations and its threshold identification

Ecological Indicators, Journal Year: 2023, Volume and Issue: 154, P. 110846 - 110846

Published: Aug. 26, 2023

The rapid urbanization process of urban agglomerations had complex and non-linear effects on various ecosystem services (ESs), particularly within mega-urban agglomerations. Previous studies have focused the impacts comprehensive ESs single However, research relationship between multi-dimensional different ES types across entire identification impact thresholds remains limited. This lack investigation has considerably hampered formulation targeted policies for development ecological management. Addressing these gaps, this study takes a holistic approach by taking BTH-UA, PRD-UA, YRD-UA as whole employs threshold regression model to measure types, along with identifying critical thresholds. results are follows: In terms temporal evolution, progressed most rapidly in contributing varying degrees decline. contrast, despite relatively low level rise. Spatially, exhibited “core-periphery” pattern both distribution. High levels were found clustered core regions, while elevated prevalent peripheries, indicating significant spatial disparities. population (PU) land (LU) carbon storage (CS) an inverted U-shaped curve 272 people/km2 1.063%, respectively. effect LU food production (FP) 0.704%. findings indicate that PU exhibit more characteristics systems. underscore significance regulating density expansion intensity improve offers valuable support policy sustainable planning large clusters.

Language: Английский

---