Journal of Arid Land, Journal Year: 2024, Volume and Issue: 16(9), P. 1183 - 1196
Published: Sept. 1, 2024
Language: Английский
Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112480 - 112480
Published: Aug. 13, 2024
Recently, rapid economic development of the Yangtze River Economic Belt region in China and growing problem regional habitat quality have seriously threatened process biodiversity conservation Basin. Studying impact changes landscape pattern indexes on can provide policy insights for However, existing studies are still lacking exploring effects changing indices under future scenarios. Based land use data from 2000 to 2020, this study simulates situation 2030, analyzes during 30 years, investigate at global local scales through various methods. The results show that patterns were significantly affected by human activities types, with experiencing increased levels structural stabilization three decades (Shannon Diversity Index 0.90 0.94 2030), fragmentation (Landscape index increase 0.094 0.102 weakened connectivity (contagion decrease 48.213 45.437 2030). Habitat Quality has a large variation spatial distribution county scale, an average change 1.04 % overall downward trend. There is strong localized autocorrelation between quality, significant heterogeneity some form variability time scales. help further understand eco-environmental problems Belt, theoretical references formulation ecological environmental protection policies functional area planning.
Language: Английский
Citations
16
Remote Sensing, Journal Year: 2024, Volume and Issue: 16(12), P. 2113 - 2113
Published: June 11, 2024
The phenomena of global climate change and comprehensive urban expansion have precipitated significant unprecedented transformations in landscape patterns. To enhance the assessment these spatio−temporal changes their driving forces at a regional level, we developed index (CLI) to quantify patterns conducted detailed analysis variations Minnesota over last two decades. Our CLI was by examining both its quantitative relationships spatial distribution findings indicate consistent increase Minnesota’s this period, marked an escalation fragmentation diversity, alongside decline connectivity. Temporally, experienced notable shift 2010. Spatially, clustering characteristics largely remained stable. reveals that is most sensitive total population (POP) gross domestic product (GDP) factors, underscoring impact human activity on Notably, explanatory capacity interactions between factors substantially greater than individual with GDP vegetation structure (VS) interaction demonstrating greatest influence This highlights critical role interplay socio−economic coverage shaping configurations.
Language: Английский
Citations
2
Land Degradation and Development, Journal Year: 2024, Volume and Issue: unknown
Published: Sept. 23, 2024
ABSTRACT This study aimed to emphasize the key role of spatial morphology planted and natural forests on landscape fragmentation furnish a scientific foundation for effective assessment ecological restoration projects vegetation Loess Plateau. The morphological pattern characteristics were analyzed using analysis (MSPA) forest area density methods. is inaugural reveal linear nonlinear relationships between its driving factors machine learning methods introducing indicators with two different strategies. results showed significant differences in patterns forests. found be dominated by “Core” terms area, while “Branch” was more prevalent number. Compared forests, fragmented. introduction MSPA indicator significantly enhanced explanatory power predictive performance model despite disparate contribution rates highlights importance understanding provides new combination analytical techniques better understand complexity ecosystems. These provide insights into sustainable management
Language: Английский
Citations
2
Future Generation Computer Systems, Journal Year: 2024, Volume and Issue: 159, P. 151 - 160
Published: May 7, 2024
Over the past two decades, remote sensing data have demonstrated significant potential across various fields. Accuracy assessment, as a crucial component, plays vital role in ensuring effective application of products. To assess accuracy products, this paper proposed multi-granular spatial sampling method (MG-SSM). In MG-SSM, assessed products were stratified into different layers based on heterogeneity, quantified by calculating aggregation index. Subsequently, units defined for each layer correlation, using Moran's I and Z-score. Finally, was comparing it with reference data. Using classification results Landsat 9 OLI/TIRS 30-m resolution data, Sentinel-2 MSI 10-m employing Overall (OA) Kappa coefficient assessment metrics, performance MG-SSM compared against other methods, including SRS, ST, SY, SSS, GLCM. The performances GLCM, 74.41%, 75.39%, 76.57%, 78.47%, 76.77%, 67.36% terms overall accuracy, 0.6, 0.61, 0.64, 0.66, 0.46 coefficient, respectively. indicated that exhibited lowest values aligning objective assessing This outcome is attributed to MG-SSM's strategy distributing more sample points areas lower land-cover classes, which are prone errors. Collectively, enhanced representativeness reduced information redundancy points, making an efficient
Language: Английский
Citations
1
Geocarto International, Journal Year: 2024, Volume and Issue: 39(1)
Published: Jan. 1, 2024
Language: Английский
Citations
1
Journal of Arid Land, Journal Year: 2024, Volume and Issue: 16(9), P. 1183 - 1196
Published: Sept. 1, 2024
Language: Английский
Citations
0