Mapping forest functions using GIS at plateau area, Laos

Kokmila, Khitlaxay; Lee, Woo‐Kyun; Badarch, Ochirsukh; Kim, So Ra; Choi, Sung Ho; Park, Sun Min

doi:10.1080/21580103.2009.9656348

Cited by 3 publications

(3 citation statements)

References 4 publications

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“…A very typical example was soil erosion caused by sloping farmland. In this study, we refer to Kokmila et al [33], and first used the DEM to generate slope data, then divided the changing area into five grades according to the slope size ( Table 2), and finally analyzed the potential ecological environmental problems.…”

Section: Methodsmentioning

confidence: 99%

“…Kokmila et al [33] used Geographic Information System (GIS) technology to analyze the status of forest resources and soil erosion in Laos, and proposed some countermeasures to maintain soil and water and prevent forest shrinkage. Hewanma et al [34] used the Lorenz curve and the Gini coefficient to characterize and quantify the change of forest cover in Laos based on status data in 1982/1992 and 2002.…”

Section: Introductionmentioning

confidence: 99%

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Economic Globalization Impacts on the Ecological Environment of Inland Developing Countries: A Case Study of Laos from the Perspective of the Land Use/Cover Change

et al. 2019

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Economic globalization promotes the economic development of underdeveloped regions but also influences the ecological environments of these regions, such as natural forest degradation. For inland developing regions with underdeveloped traffic routes, are the effects on the ecological environment also as obvious? To reveal the response characteristics of the ecological environment of the inland developing countries to globalization, we took Laos as an example, and used the land use/cover change data and also its exports and imports data to analyze the ecological environment change since the millennium. Land use transfer matrix analysis showed that Laos had encountered a large conversion of 14.43% natural forest to plantation forest since 2000 to 2017, and also a degradation of 5.94% natural forest to shrubland and grassland. Landscape pattern analysis showed that these changes were the main reasons of the fragmentation of ecological patches, which would lead to a reduction in biodiversity. More, topographic analysis further showed that natural forest degradation mainly took place in high-altitude and large slope areas, which could increase the potential of natural hazards such as floods. Coupling analysis with its exports and imports data indicated that economic globalization still had a significant impact on the country’s ecological environment although Laos is an inland developing country. Laos should strengthen the regulation of renewable resources such as forests and water resources, to avoid losing the renewable resources market while still enjoying the dividends of economic globalization. At the same time, it is necessary to accurately evaluate the indirect impacts of development on neighboring countries to ensure sustainable development.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Economic Globalization Impacts on the Ecological Environment of Inland Developing Countries: A Case Study of Laos from the Perspective of the Land Use/Cover Change

et al. 2019

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“…Results showed that the parameters including hillside slope and rock base had a significant effect on the cross section. Kokmila et al (2009) mapped the forest functions using GIS at a plateau area, Laos. In this study they presented the process of classification of forest functions for improving forestry agriculture and livelihood standard in Champasak province, Bolivian plateau area.…”

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confidence: 99%

Predicting the earthwork width and determining the annual growth loss due to forest road construction using artificial neural network and ArcGIS

Peyrov¹,

Najafi²,

Nourodini³

2016

J. For. Sci.

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ABSTRACT:The area of forest destruction as well as the annual growth loss due to road construction before constructing a road was predicted. To do this, road cross sections of 88 points along the 10 km proposed road were predicted using Multilayer Perceptron Neural Network with two input parameters of hillside slope and rock share within MATLAB software. Then according to the predicted width, the area of road earthwork as well as the area of roadside with a 10 m width was calculated in ArcGIS software. Finally, by overlaying the inventory network layer on the road map and by knowing the annual growth (m 3 ) for each plot the growth loss of the area of road earthwork was calculated and one-third of the annual growth increment was considered to calculate the growth loss of the roadside. According to the results, for the construction of a 10 km long road in the region, 12.98 ha of forest area is destructed due to road construction, of which 5.36 ha is destructed resulting from earthwork operations and 7.61 ha occurs in the roadside and its growth is influenced by road construction. With the construction of the road, in total, 32.606 m 3 of growth will be lost annually, of which 22.221 m 3 is due to road earthwork that is completely removed from the forest annual growth cycle and 10.384 m 3 of the growth loss belongs to the roadside which is decreased resulting from road construction.

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Selection of suitable areas for rubber tree (Hevea brasiliensi) plantation using GIS‐data in Laos

Kokmila

Lee²,

Yoo

et al. 2010

Forest Science and Technology

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Mapping forest functions using GIS at plateau area, Laos

Cited by 3 publications

References 4 publications

Economic Globalization Impacts on the Ecological Environment of Inland Developing Countries: A Case Study of Laos from the Perspective of the Land Use/Cover Change

Economic Globalization Impacts on the Ecological Environment of Inland Developing Countries: A Case Study of Laos from the Perspective of the Land Use/Cover Change

Predicting the earthwork width and determining the annual growth loss due to forest road construction using artificial neural network and ArcGIS

Selection of suitable areas for rubber tree (Hevea brasiliensi) plantation using GIS‐data in Laos

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