2017
DOI: 10.3390/su9061054
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Spatiotemporal Patterns of Forest in the Transnational Area of Changbai Mountain from 1977 to 2015: A Comparative Analysis of the Chinese and DPRK Sub-Regions

Abstract: Abstract:The transnational area of Changbai Mountain (TACM) is crucial to sustainable development in Northeast Asia owing to its abundant forest, which helps in maintaining biodiversity and multiple ecosystem services. However, the spatiotemporal patterns of forest in the TACM have been poorly understood across the whole region. The objectives of this study were to quantify the spatiotemporal patterns of forest in the TACM from 1977 to 2015, investigate the causes of forest dynamics, and assess the impacts of … Show more

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Cited by 17 publications
(12 citation statements)
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“…The method of Tao et al [36] was used to extract regional urban land from Landsat images taken in 2016 (please refer to Text A1 in the Appendix A for details). Here, the urban land denotes the urban built-up area, i.e., the portion that is dominated (more than 50% in cover) by non-vegetated, human-constructed elements, such as roads, buildings, runways, and industrial facilities [37].…”
Section: Methodologiesmentioning
confidence: 99%
See 1 more Smart Citation
“…The method of Tao et al [36] was used to extract regional urban land from Landsat images taken in 2016 (please refer to Text A1 in the Appendix A for details). Here, the urban land denotes the urban built-up area, i.e., the portion that is dominated (more than 50% in cover) by non-vegetated, human-constructed elements, such as roads, buildings, runways, and industrial facilities [37].…”
Section: Methodologiesmentioning
confidence: 99%
“…Thus, we extracted urban land from the Landsat data in 2016 through visual interpretation. First, we developed interpretation criteria for each land use/cover type based on combination of Landsat bands, the sampling points from field survey data [36]. These land use/cover types included coniferous forest, broadleaf forest, mixed forest, alpine birch forest, grassland, paddy field, dry farmland, water, marshland, bare land, urban land, and alpine tundra.…”
mentioning
confidence: 99%
“…This is because forest loss and fragmentation have adverse impacts on a variety of ecological process and functions, such as deterioration of wildlife habitat quality [13] and threating biodiversity [14][15][16]. Understanding such impacts requires the quantification of forest loss and fragmentation associated with urban expansion [10,17,18].…”
Section: Introductionmentioning
confidence: 99%
“…Remote sensing has long been used to quantify changes in forested land [17][18][19][20], as it can explicitly reveal its change in space in a recurrent and consistent way [21]. Changes in spatial pattern of forested land have been typically studied by combining remote sensing data with landscape metrics [22].…”
Section: Introductionmentioning
confidence: 99%
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