Assessing the impacts of biogeochemical drivers and land cover changes on vegetation in the Guanzhong Plain urban agglomeration, China DOI Creative Commons

Zihan Jin,

Anzhou Zhao,

Xinle Tian

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 22, 2024

Abstract Vegetation is affected by the complex urban environment. Exploring vegetation change trends from an urban-rural gradient perspective can help understand response of to urbanization and provide scientific basis for predicting future change. Based on Landsat data processed in Google Earth Engine (GEE) environment, Enhanced Index (EVI) Guanzhong Plain agglomeration 2000 2020 was calculated, EVI analyzed different city sizes. Then, impacts biogeochemical driving factors land cover changes trend were investigated. The results showed that: (1) had a "V"-shaped characteristic along with gradient. cores (UC), new towns (UNT), fringes (UF), rural (RF), backgrounds (RB) 0.0459 ± 0.0080/10a, 0.0347 0.0093/10a, -0.0090 0.0121/10a, 0.0738 0.0075/10a 0.0817 0.0082/10a, respectively. (2) From sizes, UC, UNT, UF increased as size increased. respectively 0.0333 0.0058/10a, 0.0281 0.0077/10a, − 0.0189 0.0082/10a small 0.0520 0.0091/10a, 0.0402 0.0120/10a, 0.0114 0.0042/10a megacities. (3) UC mainly (UBD), its contribution rate 51.9%. UNT UBD, background drivers (BBD) expansion or densification (UED), which rates 37.2%, 30.7%, 29.6%, UED, RF RB BBD, 70.2% 94.0%, (4) UBD generally in-creased above indicate that jointly regulate agglomeration, assess impact environmental regions.

Language: Английский

Exploring nonlinear land use drivers and multi-scenario strategies for ecological impact mitigation: A case study of the Hohhot-Baotou-Ordos area, Inner Mongolia, China DOI
Yanwei Feng, Wenzhong Zhang,

Jianhui Yu

et al.

Cities, Journal Year: 2025, Volume and Issue: 162, P. 105935 - 105935

Published: April 8, 2025

Language: Английский

Citations

1
Contrasting inequality of green spaces and buildings between cities in China DOI

Fengjiao Song,

Jiayu Bao, Tao Li

et al.

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

Published: March 11, 2024

Language: Английский

Citations

8
FLUS Based Modeling of the Urban LULC in Arid and Semi-Arid Region of Northwest China: A Case Study of Urumqi City DOI Open Access

Yusuyunjiang Mamitimin,

Zibibula Simayi,

Ayinuer Mamat

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(6), P. 4912 - 4912

Published: March 9, 2023

Modeling land use and cover (LULC) change is important for understanding its spatiotemporal trends plays a crucial role in planning natural resources management. To this end, study assessed the characteristics of LULC changes Urumqi city between 1980 2020. In addition, future was successfully projected 2030 2050 under different scenarios based on FLUS model. This model validated using actual simulated data The kappa coefficient figure merit simulation results 2020 were 0.87 0.114, respectively, indicating that accuracy satisfactory. demonstrated grassland major type, with area accounting more than 50% area. From to 2020, urban greatly expanded, while decreased significantly. Urban increased from 353.51 km2 884.27 km2, 7903.4 7414.92 significant transitions mainly occurred grasslands, cultivated lands lands. Grassland converted into land, resulting rapid expansion over last 40 years. 1990 2000, an 341.08 km2. Finally, showed expected increase all three scenarios, forest are effectively protected Cultivated Land Protection Scenario (CPS) Ecological (EPS) compared Baseline (BLS). 2035 City arid semi-arid regions northwest China model, which has not been investigated previous studies.

Language: Английский

Citations

15
Spatiotemporal patterns, driving mechanism, and multi-scenario simulation of urban expansion in Min Delta Region, China DOI Creative Commons
Xiaoyang Liu, Yinfeng Li, Sen Zhang

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 158, P. 111312 - 111312

Published: Dec. 1, 2023

Urban agglomerations are important spatial carriers for regional economic development, but sustained urban expansion has triggered a series of issues such as conflicts between "people and land" "built-up areas green spaces". However, many studies have rarely incorporated spatiotemporal patterns driving mechanism into scenario simulation growth, also overlooked subsequent discussions on the specific integration results with planning. Considering case Min Delta Region, this study analyzes evolution based multi-source data explore influential using Random forest algorithm. A combination Markov FLUS models was used to dynamically simulate future growth patterns. The showed that 1) From 1995 2015, increased by 2.26 times, showing trend first accelerating then slowing down. It discovered there is an anisotropy toward in trajectory growth. 2) With marginal increase enclave increase, general observed be changing from diffusion agglomeration, hotspots mainly located southeast coastal area. 3) Humanistic links, geographic position, social considerations all played role development region, can summarized "four forces" model. 4) By 2035, continuous built-up area main body will basically formed, incorporating ecological restrictions effectively restrain growth's encroachment spaces. Based results, region gradually structure single core dual mode, multi-center networked mode. This would serve multi-angle decision-making reference protection planning management, scientific foundation high-quality region.

Language: Английский

Citations

13
Dual effects on vegetation from urban expansion in the drylands of northern China: A multiscale investigation using the vegetation disturbance index DOI
Tao Qi, Qiang Ren, Chunyang He

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 928, P. 172481 - 172481

Published: April 16, 2024

Language: Английский

Citations

4
The imprint of urbanization on vegetation in the ecologically fragile area: A case study from China’s Loess Plateau DOI Creative Commons
Anzhou Zhao,

Xinle Tian,

Zihan Jin

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 154, P. 110791 - 110791

Published: Aug. 10, 2023

Rapid urbanization significantly affects vegetation growth in urban environments. Responses of to at high spatial resolutions and long temporal ranges are still unclear, especially ecologically fragile areas. Here, we explored impacts on across China's Loess Plateau (CLP) from 2000 2020 a resolution 30 m. Urbanization annual maximum Normalized Difference Vegetation Index (NDVI) agglomerations, provincial capital cities, also the whole CLP experienced rapid increase over this period; NDVI (NDVImax) areas decreased before 2011 but increased afterward reach its value 2018, non-urban areas, significant was found between 2020. NDVImax with reduction were mostly distributed area. A total 97.56%, 53.66%, 80.49%, 100% all cities' core, urbanization, urban, respectively, indicated an during 2000–2020. For 97.56% (40/41) cities CLP, increases stronger than detected these cities. In general, most (29/41) had positive trends greater 50%. The generally increasing development intensity (UDI) along five agglomerations. These findings have important implications for understanding vegetation, management,

Language: Английский

Citations

10
Moderate Red-Edge vegetation index for High-Resolution multispectral remote sensing images in urban areas DOI Creative Commons
Ronghua Li, Shiping Ye,

Zhican Bai

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 167, P. 112645 - 112645

Published: Sept. 24, 2024

Language: Английский

Citations

3
A Novel Exposed Coal Index Combining Flat Spectral Shape and Low Reflectance DOI
Xiaoquan Pan, Peng Zhang, Shanchuan Guo

et al.

IEEE Transactions on Geoscience and Remote Sensing, Journal Year: 2023, Volume and Issue: 61, P. 1 - 16

Published: Jan. 1, 2023

Coal, as a traditional energy source, has made remarkable contributions to global economic development. However, surface coal mining brings series of eco-environmental problems. Therefore, it is crucial obtain the distribution information mines. Due diverse appearance mines and complex background environments, very challenging identify at large scale. Exposed an important indicator mining. Spectral indices based on satellite images possess advantages simplicity high efficiency. In this study, Coal Index (ECI) was proposed. It enables accurate identification exposed The effectiveness ECI investigated in four typical mine regions across world. Through spectral analysis, two key characteristics spectra were discovered (i.e., flat shape visible near-infrared range low reflectance band). utilized these features successfully differentiate from various land cover types all study cases. results showed that effective visual evaluation, separability mapping, with superior performance than three previously proposed indices. can also be perfectly applied Landsat 8 images, demonstrating its excellent generalization capability. addition, compared datasets, provided more comprehensive distribution. simple, robust, expected provide strong support for regional resource management sustainable

Language: Английский

Citations

8
Embodied carbon flows in resource-based cities based on multiregional input–output model: a case study of Hohhot-Baotou-Ordos-Yulin urban agglomeration in China DOI
Penghui Li, Chunyang He, Tao Qi

et al.

Clean Technologies and Environmental Policy, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 8, 2024

Language: Английский

Citations

2
Utilizing Machine Learning and Geospatial Techniques to Evaluate Post-Fire Vegetation Recovery in Mediterranean Forest Ecosystem: Tenira, Algeria DOI Open Access

Ali Ahmed Souane,

Abbas Khurram,

Hui Huang

et al.

Forests, Journal Year: 2024, Volume and Issue: 16(1), P. 53 - 53

Published: Dec. 31, 2024

This study investigated post-fire vegetation recovery in Algeria’s Tenira forest using statistical traits (PCA), RFM, and LANDIS-II spatial analysis. The dataset included satellite imagery environmental variables such as precipitation, temperature, slope, elevation, spanning over a decade (2010–2020). is composed of Mediterranean species (36.5%); the biological types encountered are dominated by therophytes (39.19%). Ninety fire outbreaks were recorded, resulting loss 1400.56 ha surface area. Following PCA results, elevation main drivers (PC1 explained 43% alone, with first five principal components accounting for 90% observed variance, reflecting significant gradients). Based on these components, an RFM predicted overall accuracy 70.5% (Cost-Sensitive Accuracy), Quantity Disagreement 3.1%, Allocation 76%, highlighting misallocation primary source errors. evaluation also identified PC4 (species richness) PC3 (elevation) predictors, collectively >50% variation recovery. In analysis LANDIS-II, growth vegetation, mainly mid-altitude areas, was shown to be stronger, consisting those areas being more diverse. As result, it demonstrated connection between richness capability. These findings can useful developing management development strategy, well proposing actions after fire, construction firebreaks or introduction fireproof species, make resistant weather changes ecosystems.

Language: Английский

Citations

2