Myanmar’s Land Cover Change and Its Driving Factors during 2000–2020

Wang, Yiming; Hu, Yuanman; Niu, Xiaoyu; Yan, Huimin; Zhen, Lin

doi:10.3390/ijerph20032409

Cited by 5 publications

(3 citation statements)

References 31 publications

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“…With 29 land surface cover types, this product is often used in the analysis of spatial and temporal change characteristics in regions with diversified land surface vegetation cover. For instance, Wang et al [16] analyzed the reasons for the mutual conversion between secondary land cover types of farmlands and woodlands based on the 2000-2020 GLC_FCS30 dataset and socioeconomic data from Myanmar. However, there is still a need to address continuous dynamic time series land evolution.…”

Section: Introductionmentioning

confidence: 99%

Remotely Sensed Changes in Qinghai–Tibet Plateau Wetland Ecosystems and Their Response to Drought

Fu,

Yu,

Bashir

et al. 2024

Sustainability

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Wetland ecosystems in the Qinghai–Tibet Plateau are pivotal for global ecology and regional sustainability. This study investigates the dynamic changes in wetland ecosystems within the Chaidamu Basin and their response to drought, aiming to foster sustainable wetland utilization in the Qinghai–Tibet Plateau. Using Landsat TM/ETM/OLI data on the Google Earth Engine platform, we employed a random forest (RF) method for annual long-term land cover classification. Standardized precipitation evapotranspiration indices (SPEI3, SPEI6, SPEI9, and SPEI12) on different time scales were used to assess meteorological drought conditions. We employed a Pearson correlation analysis to examine the relationship between wetland changes and various SPEI scales. The BFASAT method was used to evaluate the impact of SPEI12 trends on the wetlands, while a cross-wavelet analysis explored teleconnections between SPEI12 and atmospheric circulation factors. Our conclusion is as follows: The wetlands, including lake, glacier, and marsh wetlands, exhibited a noticeable increasing trend. Wetland expansion occurred during specific periods (1990–1997, 1998–2007, and 2008–2020), featuring extensive conversions between wetlands and other types, notably the conversion from other types to wetlands. Spatially, lake and marsh wetlands predominated in the low-latitude basin, while glacier wetlands were situated at higher altitudes. There were significant negative correlations between the SPEI at various scales and the total wetland area and types. SPEI12 displayed a decreasing trend with non-stationarity and distinct breakpoints in 1996, 2002, and 2011, indicating heightened drought severity. Atmospheric circulation indices (ENSO, NAO, PDO, AO, and WP) exhibited varying degrees of resonance with SPEI12, with NAO, PDO, AO, and WP demonstrating longer resonance times and pronounced responses. These findings underscore the significance of comprehending wetland changes and drought dynamics for effective ecological management in the Chaidamu Basin of the Qinghai–Tibet Plateau.

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Section: Introductionmentioning

confidence: 99%

Remotely Sensed Changes in Qinghai–Tibet Plateau Wetland Ecosystems and Their Response to Drought

Fu,

Yu,

Bashir

et al. 2024

Sustainability

View full text Add to dashboard Cite

show abstract

“…With 29 land surface cover types, this product is often used in the analysis of spatial and temporal change characteristics in regions with diversified land surface vegetation cover. For instance, Wang et al [16] analyzed the reasons for mutual conversion between secondary land cover types of farmlands and woodland based on the 2000-2020 GLC_FCS30 dataset and socioeconomic data from Myanmar. However, there is still a need to address continuous time-series land dynamic evolution analysis.…”

Section: Introductionmentioning

confidence: 99%

Remotely Sensed Changes in the Qinghai-Tibet Plateau Wetland Ecosystems and Their Response to Drought

Fu,

Yu,

Bashir

et al. 2024

Preprint

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Wetland ecosystems in the Qinghai-Tibet Plateau are pivotal for global ecology and regional sustainability, contributing significantly to terrestrial ecosystems by regulating runoff, mitigating floods, and enhancing water quality. This study investigates the dynamic changes in wetland ecosystems within the Chaidamu Basin and their response to drought, aiming to foster sustainable wetland utilization in the Qinghai-Tibet Plateau. Using Landsat TM/ETM/OLI data on the Google Earth Engine platform, we employed a random forest method for annual long-term land cover classification. Meteorological drought conditions were assessed using SPEI3, SPEI6, SPEI9, and SPEI12, derived from monthly precipitation and evapotranspiration data. Pearson correlation analysis examined the relationship between wetland changes and various SPEI scales. The BFASAT method evaluated the impact of SPEI12 trends on wetlands, while cross-wavelet analysis explored teleconnections between SPEI12 and atmospheric circulation factors. Our findings revealed that the land cover dataset of the Chaidamu Basin (1990-2020) exhibited diverse categories with high classification accuracy (OA: 90.27%, Kappa: 88.34%). Wetlands, including lake, glacier, and marsh types, exhibited a noticeable increasing trend. Wetland expansion occurred during specific periods (1990-1997, 1998-2007, 2008-2020), featuring extensive conversions between wetland and other types, notably from other types to wetlands. Spatially, lake and marsh wetlands predominated in the low-latitude basin, while glacier wetlands were situated at higher altitudes. The study identified significant negative correlations between SPEI at various scales and total wetland area and types, with SPEI12 exhibiting the most substantial effect between September and December (r <-0.75) on wetlands. SPEI12 displayed a decreasing trend with non-stationarity and distinct breakpoints in 1996, 2002, and 2011, indicating heightened drought severity. Atmospheric circulation indices (ENSO, NAO, PDO, AO, WP) exhibited varying resonance with SPEI12, with NAO, PDO, AO, and WP demonstrating longer resonance times and pronounced responses.The continuous growth of wetlands amidst increasing aridification emphasizes the need for thoughtful wetland development to establish a sustainable "forest-lake-grass-field-river" ecological community. These findings underscore the significance of comprehending wetland changes and drought dynamics for effective ecological management in the Chaidamu Basin of the Qinghai-Tibet Plateau.

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“…Studies on LUCC are essential for global change research as they can reveal the effects of human activity on natural ecosystems (Wang et al, 2023). Data on changes in land use and land cover (LULC) is essential to understanding the relationship between people and the environment (Warner et al).…”

Section: Introductionmentioning

confidence: 99%

Investigation of land use and land cover dynamics, drivers, and their consequences in south-central Ethiopia, with special emphasis on the contrasting agro-ecological settings of the Satame and Legabora watersheds

Mariye

Maryo

et al. 2023

Preprint

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Identifying the causes and drivers of land change is one of the main objectives of the land use and cover change investigation. Land use and cover change data are crucial for managing water resources and land preservation. This study examined the trends, driving factors, and implications of land use and land cover dynamics in contrasting agro-ecologies to provide empirical evidence about increases and losses in land use classes. Landsat images of MSS (1976), TM (1991 and 2001), ETM+ (2011), and OLI (2022) were used to study LULC dynamics. To identify the potential driving forces and impacts, field observations, discussions with key informants, analysis of land use policy, and focus group discussions (FGDs) were undertaken. The analysis of remote sensing data revealed that there was an increasing tendency for croplands, settlements, and forest lands at the expense of grasslands and shrublands. In Satame, shrub land and grassland decreased annually by –128.7 and –139.9 ha per year, while grassland and shrub cover reduced annually by –248.2 and –144.5 ha per year in Legabora, respectively. The Local communities perceived agricultural expansion, population growth, settlement expansion, and poverty as the main drivers of LULC changes, while deforestation, land degradation, low production and loss of biodiversity were the major consequences. From this study, it can be inferred that LULC has undergone significant changes over the past 45 years, with both positive and negative impacts. Hence, this study provides a foundation for land management policies and strategies in this watershed and other watersheds facing similar problems.

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Myanmar’s Land Cover Change and Its Driving Factors during 2000–2020

Cited by 5 publications

References 31 publications

Remotely Sensed Changes in Qinghai–Tibet Plateau Wetland Ecosystems and Their Response to Drought

Remotely Sensed Changes in Qinghai–Tibet Plateau Wetland Ecosystems and Their Response to Drought

Remotely Sensed Changes in the Qinghai-Tibet Plateau Wetland Ecosystems and Their Response to Drought

Investigation of land use and land cover dynamics, drivers, and their consequences in south-central Ethiopia, with special emphasis on the contrasting agro-ecological settings of the Satame and Legabora watersheds

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