Deforestation and Changes in Landscape Patterns from 1979 to 2006 in Suan County, DPR Korea

Pang, Chol-Jun; Yu, Haiying; He, Jun; Xu, Jianchu

doi:10.3390/f4040968

Cited by 22 publications

(23 citation statements)

References 22 publications

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“…In the area affected by sea level rise, PLADJ value experienced relatively small fluctuations, but overall decreased in value in the period 2003-2016. Then IJI values show fragmentation levels [38] [33]. The value of IJI in coastal areas of Pekalongan shows that value always decreases.…”

Section: Discussionmentioning

confidence: 97%

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Spatial Pattern Dynamics Analysis in Coastal Area Using Spatial Metric in Pekalongan, Indonesia

Wijaya¹,

Susetyo²,

Aq³

et al. 2017

Preprint

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Pekalongan is one of several cities that lies in the northern coast of Java island which is often flooded due to sea level rise. This condition impacted its urban development characteristic and increase in the future. In this research both Geographical Information System based and Spatial Metric approach are used. The spatial pattern is analyzed by using spatial metric based on the exploration of land use change that occurred. In this research, the spatial pattern is focused on aggregation pattern and diversity in coastal area. The result shows that the land use of coastal area are dominated with swamp, then followed by settlement and fishpond. It is also shown that the greatest land use change occurred on paddy field and swamp areas. Based on the spatial metric calculation, the aggregation level of land use decrease periodically and has a small growth level. It is indicated from its metric value aggregation and diversity from two periods: 2003-2009 and 2009-2016. Overall the land use of Pekalongan experienced large dynamics, especially in its coastal area. The spatial pattern trend in those area tend to be more sprawl as defined by the decrease of aggregation pattern and low level of land use growth pattern.

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Section: Discussionmentioning

confidence: 97%

“…Then PD metric is related to the NP, and in the coastal area of Pekalongan, PD value always decreased. It also indicates the increasing fragmentation occurring in the area [33][34] [35][36]. Next comes the results of PLADJ and IJI metrics which are indicative of patch configuration [29].…”

Section: Discussionmentioning

confidence: 99%

Spatial Pattern Dynamics Analysis in Coastal Area Using Spatial Metric in Pekalongan, Indonesia

Wijaya¹,

Susetyo²,

Aq³

et al. 2017

Preprint

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“…The phenomenon has become a contentious issue due to the noticeable decrease in forest areas. North Korean deforestation is a cause for concern because it has not only resulted in a large ecosystem change, but also a decrease in carbon absorption [3,7]. North Korean forests have mostly been converted to croplands.…”

Section: Introductionmentioning

confidence: 99%

Impact of Deforestation on Agro-Environmental Variables in Cropland, North Korea

et al. 2017

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Deforestation in North Korea is becoming the epitome of the environmental change occurring in the Korean Peninsula. This study estimates the agro-environmental variables of North Korea's croplands and analyzes the impact of deforestation using the GEPIC (GIS-based EPIC (Environmental Policy Integrated Climate)) model and time-series land cover maps. To identify the changes in agricultural quality under deforestation, wind erosion, water erosion, organic carbon loss, and runoff were selected as the agro-environmental variables having an impact on cropland stability and productivity. Land cover maps spanning the past three decades showed that 75% of the forests were converted to croplands and that 69% of all converted croplands were originally forests, confirming the significant correlation between deforestation and cropland expansion in North Korea. Despite limitations in the verification data, we conducted qualitative and quantitative validation of the estimated variables and confirmed that our results were reasonable. Over the past 30 years, agro-environmental variables showed no clear time-series changes resulting from climate change, but changes due to spatial differences were seen. Negative changes in organic carbon loss, water erosion, and runoff were observed, regardless of the crop type. On newly-converted agricultural lands, runoff is 1.5 times higher and water-driven erosion and soil organic loss are more than twice as high compared to older croplands. The results showed that the agro-environment affected by deforestation had an impact on cropland stability and productivity.

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“…Monitoring the trends to which ecosystem is changing by the use of indicators such as land cover and socio-demographic information will be essential in order to make proper planning for sustainable ecosystem management. Nowadays, the advancement of geospatial technology such as RS and geographic information system (GIS) present the best efficient tool for analyzing land cover trends as demonstrated by many researchers [5,6,7,8]. Geospatial technologies in addition to conventional inventories can facilitate quantitative evaluation and provide a baseline for monitoring the extent, impacts and trend of LCC.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Land Cover Change and Vegetation Dynamics Using Remote Sensing and DPSIR Framework in Kebbi State, Nigeria

Aliero¹,

M²,

M³

et al. 2017

Preprint

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Assessment of the trends of land cover and vegetation dynamics (VD) using remote sensing (RS) and indicators such as anthropogenic activities and the socio-demographic information is essential in order to make proper planning for sustainable management. This paper attempts to evaluate land cover change (LCC) and VD in Kebbi State, Nigeria using historical Landsat data from 1986-2016 by means of remote sensing. The Driver-Pressure-State-Impact-Response (DPSIR) framework was later employed using both primary and secondary data for a better understanding of the drivers, the state of the environmental condition, the causes as well as the impact of the change. The images were classified into five thematic land cover classes as Dense Vegetation, shrubs/built area, farmland, bare/grassland and water body by means of Maximum likelihood supervised classification technique in accordance with Anderson classification scheme level 1, with acceptable accuracy. Pre-classification and post-classification change detection (CD) methodologies were executed using Normalized difference vegetation index (NDVI) and Image differencing respectively. The study illustrates a steady decline in dense vegetation and shrubs/build areas while farmland and bare/grassland increases, however, water bodies remain unchanged. The DPSIR pin-point that the major drivers of change in the study area have been the pressing need for farming land as the population grows and socioeconomic demands including fuelwood consumption and endemic poverty. Expansion of Farming land, fuelwood consumption and the need for construction materials are identified as the main key elements exerting pressure for the change. The state of the condition indicates a steady decline in dense vegetation and shrubs areas while farmland and bare/grassland are increasing significantly. The impacts include land degradation, the decline in the provision ecosystem goods and services, biodiversity loss through loss of habitats. The study, however, noted that many international and national policies in response to land degradation are channelled toward land restoration and remediating of the environment, through afforestation programs and improving the livelihood of the rural people through providing alternative income sources since they depend heavily on land for sustenance. However, the state governments, communities and individual commonly organized annual tree planting campaign with the main purpose of environmental protection.

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Deforestation and Changes in Landscape Patterns from 1979 to 2006 in Suan County, DPR Korea

Cited by 22 publications

References 22 publications

Spatial Pattern Dynamics Analysis in Coastal Area Using Spatial Metric in Pekalongan, Indonesia

Spatial Pattern Dynamics Analysis in Coastal Area Using Spatial Metric in Pekalongan, Indonesia

Impact of Deforestation on Agro-Environmental Variables in Cropland, North Korea

Evaluation of Land Cover Change and Vegetation Dynamics Using Remote Sensing and DPSIR Framework in Kebbi State, Nigeria

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