Forest Cover Changes Under Selective Logging in the Kabaung Reserved Forest, Bago Mountains, Myanmar

Win, Rosy Ne; Suzuki, Reiji; Takeda, Satoshi

doi:10.1659/mrd.00009

Cited by 17 publications

(14 citation statements)

References 8 publications

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“…Thus, we interpreted the proportion of the area affected by logging with some caution. Because previous studies showed that severe forest disturbances were not caused by illegal logging, but rather by legal logging activities [14,15], the results from our study may reveal the crucial state of illegal logging activity in Myanmar. However, this result may indicate that the influence of legal logging on the forest is more severe than previous studies expected.…”

Section: Discussionmentioning

confidence: 62%

Section: Discussionmentioning

confidence: 63%

“…While there is no detailed estimate of the illegal logging intensity in this region, several studies implied that illegal logging activities caused severe forest losses [14,15]. Shifting cultivation has also been conducted by indigenous people since the 19th century [16].…”

Section: Study Areamentioning

confidence: 99%

“…In addition to the selective logging activities (i.e., legal logging activity), several other factors, such as illegal logging, plantations, shifting cultivation, dam construction, agricultural expansion, and urban development, cause forest disturbances in the study area. While there is no detailed estimate of the illegal logging intensity in this region, several studies implied that illegal logging activities caused severe forest losses [14,15]. Shifting cultivation has also been conducted by indigenous people since the 19th century [16].…”

Section: Study Areamentioning

confidence: 99%

“…In 2016, in response to the forest loss, the Myanmar government banned logging activities for one year throughout the entire country and for 10 years in specific regions. However, it is unclear whether the ban will effectively reduce forest loss, as previous studies have shown that disturbance agents other than logging, such as dam construction and shifting cultivation, play an important role in deforestation in Myanmar [14][15][16][17]. Thus, the attribution of disturbance agents and the quantification of areas affected by disturbance agents must be characterized in a consistent manner to obtain accurate information.…”

Section: Introductionmentioning

confidence: 99%

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Attribution of Disturbance Agents to Forest Change Using a Landsat Time Series in Tropical Seasonal Forests in the Bago Mountains, Myanmar

Shimizu

Ahmed

Poncé-Hernandez

et al. 2017

Forests

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Abstract:In 2016, in response to forest loss, the Myanmar government banned logging operations for 1 year throughout the entire country and for 10 years in specific regions. However, it is unclear whether this measure will effectively reduce forest loss, because disturbance agents other than logging may have substantial effects on forest loss. In this study, we investigated an approach to attribute disturbance agents to forest loss, and we characterized the attribution of disturbance agents, as well as the areas affected by these agents, in tropical seasonal forests in the Bago Mountains, Myanmar. A trajectory-based analysis using a Landsat time series was performed to detect change pixels. After the aggregation process that grouped adjacent change pixels in the same year as patches, a change attribution was implemented using the spectral, geometric, and topographic information of each patch via random forest modeling. The attributed agents of change include "logging", "plantation", "shifting cultivation", "urban expansion", "water invasion", "recovery", "other change", and "no change". The overall accuracy of the attribution model at the patch and area levels was 84.7% and 96.0%, respectively. The estimated disturbance area from the attribution model accounted for 10.0% of the study area. The largest disturbance agent was found to be logging (59.8%), followed by water invasion (14.6%). This approach quantifies disturbance agents at both spatial and temporal scales in tropical seasonal forests, where limited information is available for forest management, thereby providing crucial information for assessing forest conditions in such environments.

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Section: Discussionmentioning

confidence: 62%

Section: Discussionmentioning

confidence: 63%

Section: Study Areamentioning

confidence: 99%

Section: Study Areamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Attribution of Disturbance Agents to Forest Change Using a Landsat Time Series in Tropical Seasonal Forests in the Bago Mountains, Myanmar

Shimizu

Ahmed

Poncé-Hernandez

et al. 2017

Forests

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Temporal variability of precipitation over the Qinghai‐Tibetan Plateau and its surrounding areas in the last 40 years

Gao

et al. 2022

Intl Journal of Climatology

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The Qinghai‐Tibet Plateau (QTP) plays a crucial role in regulating the climate and hydrology over Asia, and studies indicate that the QTP tends to be warm and humid as a whole. Although precipitation variability on the QTP has a great impact on floods, soil erosion, and droughts, it is poorly understood owing to sparse meteorological observations. This study has investigated the temporal variability of precipitation on the QTP and its surrounding areas on different time scales over the past 40 years using the standardized variability index (SVI) based on entropy as well as its changing trends. The results show that the variability of precipitation has different spatial patterns on different time scales. In general, the variability of both the precipitation days and amounts are low in the southeast and northwest corners of the plateau and high in the southwest and north. It was found that the number of light precipitation days in the high vegetation coverage area in the southeastern plateau decreased significantly, but increased greatly in the bare land and sparse vegetation coverage areas in the northern part of the plateau. Such changes are believed to be conducive for ecological restoration. Most importantly, in the southern foothills of the Himalayas, many light precipitation days have turned into moderate and heavy precipitation days, and a significant increase in annual precipitation has also been noted, which are likely to cause natural disasters considering the local topographical conditions, such as landslides and mudslides. Highlights In QTP, SVIME in May is closer to summer mode, indicating monsoon beginning have advanced to May. Extreme precipitation significantly influences precipitation variability. Daily SVIAE decreases in grassland/barren/sparsely vegetated land, good for ecology. Light rain days increased in bare land/sparse vegetation areas, benefiting vegetation restoration. In southern Himalayas, light rain changed to moderate/heavy rain, leading to natural disasters.

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Living in the Mountains: The Wide Variety of Land Uses and Their Geo-ecological Consequences

García-Ruiz,

Arnáez,

Lasanta

et al. 2024

Earth and Environmental Sciences Library

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Forest Cover Changes Under Selective Logging in the Kabaung Reserved Forest, Bago Mountains, Myanmar

Cited by 17 publications

References 8 publications

Attribution of Disturbance Agents to Forest Change Using a Landsat Time Series in Tropical Seasonal Forests in the Bago Mountains, Myanmar

Attribution of Disturbance Agents to Forest Change Using a Landsat Time Series in Tropical Seasonal Forests in the Bago Mountains, Myanmar

Temporal variability of precipitation over the Qinghai‐Tibetan Plateau and its surrounding areas in the last 40 years

Living in the Mountains: The Wide Variety of Land Uses and Their Geo-ecological Consequences

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