Holocene land cover and land use in South and Southeast Asia for climate modeling

<p>Land-use and land cover (LULC) are continuously changing due to environmental changes and anthropogenic activities. Many observational and modeling studies show that LULC changes are important drivers altering land surface feedbacks and land-atmosphere exchange processes that have substantial impact on climate on the regional and local scale. Yet, most long-term regional climate modeling studies do not account for these changes. Therefore, within the WCRP CORDEX Flagship Pilot Study LUCAS (Land Use Change Across Scales) a new workflow was developed to generate high-resolution annual land cover change time series based on past reconstructions and future projections. First, the high-resolution global land cover dataset ESA-CCI LC (~300 m resolution) is aggregated and converted to a 0.1&#176; resolution, fractional plant functional type (PFT) dataset. Second, the land use change information from the land-use harmonized dataset (LUH2), provided at 0.25&#176; resolution as input for CMIP6 experiments, is translated into PFT changes employing a newly developed land use translator (LUT). The new LUT was first applied to the EURO-CORDEX domain. The resulting LULC maps for past and future - the LUCAS LUC dataset - can be applied as land use forcing to the next generation RCM simulations for downscaling CMIP6 by the EURO-CORDEX community and in the framework of FPS LUCAS. The dataset includes land cover and land management practices changes important for the regional and local scale such as urbanization and irrigation. The LUCAS LUC workflow is applied to further CORDEX domains, such as Australasia and North America. The resulting past and future land cover changes will be presented, and challenges regarding the application of the new workflow to different regions will be addressed. In addition, issues related to the implementation of the dataset into different RCMs will be discussed.</p>

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A Century of Land-Use Change in South and Southeast Asia

Effects of Land-Use Change on Atmospheric CO2 Concentrations - Ecological Studies ◽

10.1007/978-1-4613-8363-5_2 ◽

1994 ◽

pp. 15-66 ◽

Cited By ~ 11

Author(s):

John F. Richards ◽

Elizabeth P. Flint

Keyword(s):

Land Use ◽

Land Use Change ◽

Southeast Asia ◽

South And Southeast Asia

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Social and ecological factors and land-use land-cover diversity in two provinces in southeast Asia

Journal of Land Use Science ◽

10.1080/1747423x.2010.500688 ◽

2010 ◽

Vol 5 (4) ◽

pp. 277-306 ◽

Cited By ~ 11

Author(s):

Lin Cassidy ◽

Michael Binford ◽

Jane Southworth ◽

Grenville Barnes

Keyword(s):

Land Use ◽

Land Cover ◽

Southeast Asia ◽

Ecological Factors ◽

Land Use Land Cover

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JAXA High-Resolution Land Use/Land Cover Map for Central Vietnam in 2007 and 2017

Remote Sensing ◽

10.3390/rs10091406 ◽

2018 ◽

Vol 10 (9) ◽

pp. 1406 ◽

Cited By ~ 7

Author(s):

Phan Duong ◽

Ta Trung ◽

Kenlo Nasahara ◽

Takeo Tadono

Keyword(s):

Land Use ◽

Land Cover ◽

Near Infrared ◽

Climate Modeling ◽

Rice Paddy ◽

Shuttle Radar Topography Mission ◽

Ancillary Data ◽

Data Accessibility ◽

Central Vietnam ◽

Bare Land

Robust remote monitoring of land cover changes is essential for a range of studies such as climate modeling, ecosystems, and environmental protection. However, since each satellite data has its own effective features, it is difficult to obtain high accuracy land cover products derived from a single satellite’s data, perhaps because of cloud cover, suboptimal acquisition schedules, and the restriction of data accessibility. In this study, we integrated Landsat 5, 7, and 8, Sentinel-2, Advanced Land Observing Satellite Advanced Visual, and Near Infrared Radiometer type 2 (ALOS/AVNIR-2), ALOS Phased Array L-band Synthetic Aperture Radar (PALSAR) Mosaic, ALOS-2/PALSAR-2 Mosaic, Shuttle Radar Topography Mission (SRTM), and ancillary data, using kernel density estimation to map and analyze land use/cover change (LUCC) over Central Vietnam from 2007 to 2017. The region was classified into nine categories, i.e., water, urban, rice paddy, upland crops, grassland, orchard, forest, mangrove, and bare land by an automatic model which was trained and tested by 98,000 reference data collected from field surveys and visual interpretations. Results were the 2007 and 2017 classified maps with the same spatial resolutions of 10 m and the overall accuracies of 90.5% and 90.6%, respectively. They indicated that Central Vietnam experienced an extensive change in land cover (33 ± 18% of the total area) during the study period. Gross gains in forests (2680 km2) and water bodies (570 km2) were primarily from conversion of orchards, paddy fields, and crops. Total losses in bare land (495 km2) and paddy (485 km2) were largely to due transformation to croplands and urban & other infrastructure lands. In addition, the results demonstrated that using global land cover products for specific applications is impaired because of uncertainties and inconsistencies. These findings are essential for the development of resource management strategy and environmental studies.

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Land Cover Change Intensifies Actual and Potential Radiative Forcing through CO2 in South and Southeast Asia from 1992 to 2015

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph16142460 ◽

2019 ◽

Vol 16 (14) ◽

pp. 2460 ◽

Cited By ~ 3

Author(s):

Yaoping Cui ◽

Michael E Meadows ◽

Nan Li ◽

Yiming Fu ◽

Guosong Zhao ◽

...

Keyword(s):

Land Cover ◽

Southeast Asia ◽

Land Cover Change ◽

Radiative Forcing ◽

Co2 Sequestration ◽

Large Scale ◽

Land Reclamation ◽

Urban Expansion ◽

Co2 Flux ◽

South And Southeast Asia

Land cover change (LCC) and its impact on CO2 sequestration and radiative forcing (RF) could dramatically affect climate change, but there has been little effort to address this issue in South and Southeast Asia over a long period of time using actual land cover information. In this study, annual land cover data from 1992 to 2015 were used to assess the CO2 flux and corresponding RF due to LCC in South and Southeast Asia. The results showed that 553.2 × 103 km2 of the region experienced LCC during this period, mostly due to land reclamation, urban expansion, and deforestation. These LCC caused a marked net decrease in net ecosystem productivity (NEP) as a composite of the various land cover categories during the whole study period, especially since 2001. The CO2 sequestration was 2160 TgCO2 during the early 1990s however cumulative sequestration decreased by 414.95 TgCO2 by 2015. Correspondingly, the cooling effect of NEP, i.e. the total actual RF, was −0.366 W m−2 in South and Southeast Asia between 1992 and 2015. However, the potential RF of the cumulatively reduced NEP due to LCC relative to the 1990s resulted in a warming effect of 2.33 × 10−3 W m−2 in 2015. Our study provides an applicable framework to accurately assess the potential effect of large-scale LCC on climate.

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