Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 637 - 668
Published: Nov. 15, 2024
Language: Английский
Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 637 - 668
Published: Nov. 15, 2024
Language: Английский
Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 360, P. 121113 - 121113
Published: May 20, 2024
This study contributes an empirical investigation of the likelihood that different external threats to a UNESCO Natural World Heritage Site occur in combination with each other when site characteristics and location are controlled for. For purpose analysis, database State Conservation Reports used nine most frequently appearing identified. These databases include 6852 site-year observations 3316 over period 1979-2023. The commonly identified illegal activities, eleven percent all mining six percent. Transport infrastructure, tourism visitor pressure also common threats. Estimation results based on multivariate Probit (equation system) model demonstrate there strong positive correlations between many pairs Most apparent links activities loss identity, social cohesion, changes local population community, water infrastructure (dams) farming, as well land conversion. There clear infrastructure. emphasises various seldom appear isolation from other. Results highlight have drivers. Among determinants, important ones. is highest for Sites covered by forests or those marine coastal areas, Africa Arab region. It possible identify general increase time, although diminishing rate growth towards 2015-2019. Contrary this development downturn during Covid-19 pandemic 2020-2023, continues grow. Methodologically, emphasize need models research goes beyond analyses descriptive statistics single equation approaches.
Language: Английский
Citations
6F1000Research, Journal Year: 2025, Volume and Issue: 14, P. 305 - 305
Published: March 17, 2025
Language: Английский
Citations
0Bulletin of the National Research Centre/Bulletin of the National Research Center, Journal Year: 2024, Volume and Issue: 48(1)
Published: Dec. 17, 2024
Abstract Understanding land use and cover (LULC) classification is critical for addressing environmental human needs, particularly in developing countries. Nigeria a country experiencing rapid population growth economic development leading to increased LULC changes. While many studies have been done on changes, there need comprehensive review of existing knowledge limitations analyses Nigeria. Hence, using the Preferred Reporting Items Systematic Reviews Meta-Analyses method, this paper presents systematic by examining adopted remote sensing data, pre-classified global regional maps, validation methods. This draws attention significant highlights awareness access readily available data. provides broad overview methods, focus, scale, constraints associated with analysis Also, it probable solutions challenges GEE-based scripts. There create prioritize national data repository ensure sustainable monitoring management will facilitate spatial temporal assessment at different scales regions. High-resolution imagery advanced methods such as deep learning be accurate scales. programs, collaboration, capacity-building initiatives beneficial current emerging related
Language: Английский
Citations
2Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 637 - 668
Published: Nov. 15, 2024
Language: Английский
Citations
0