Aplikasi Regresi Data Panel Dalam Menentukan Determinan Deforestasi Di Kalimantan Periode 2014-2018

Isnaini, Dyah Nur; Agustina, Neli

doi:10.34123/semnasoffstat.v2020i1.570

Cited by 3 publications

(5 citation statements)

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“…Therefore, it is not uncommon for the region to tackle the demand [2]. Some previous research also claimed that significant population densities affect the genesis of deforestation [5,7,[23][24][25][26][27][28]. Land fires are also one of the factors that can cause deforestation [8,9].…”

Section: Scopementioning

confidence: 99%

“…The trend of increased population density is incompatible with the widespread decline of deforestation in Sumatera Island. It has also been shown that population growth can enhance technological progress and institutional change to reduce pressure on forested areas [7]. An example of the institutional change in the management of forest areas involves people.…”

Section: Spatial and Temporal Heterogeneitymentioning

confidence: 99%

“…In contrast, the socioeconomic and demographic conditions of a region can also influence deforestation. Economic gritty (mainly forestry sector) and population density significantly affect the extent of deforestation in the islands [7]. Population growth would increase the need for such commodities as food production, wood, paper, and so forth.…”

Section: Introductionmentioning

confidence: 99%

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Spatial-Temporal Analysis of Deforestation in Sumatera Island 2011-2019

Putra¹,

Oktora²

2022

icdsos

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The existence of forests is threatened with deforestation, which can affect climate disturbances and environmental decay. This study aims to analyze determinants of deforestation in Sumatera Island from 2011-2019. The dependent variable is deforestation, and the independent variables are population density, land fires, road length, GDP of agricultural, fisheries, and forestry, and GDP of mining and excavation. The results show that there is spatial-temporal heterogeneity in deforestation in Sumatera Island from 2011-2019. Furthermore, because of the normality violation, the Robust Geographically and Temporally Weighted Regression (RGTWR) method is used. Analysis shows variables affecting deforestation in Sumatera Island vary in each province and change annually. Land fires were always significant in every province and every year from 2011-2019. To overcome deforestation, the governments need to consider the varying causes of deforestation, more firmly to forestry regulation and establish cooperation with local communities in managing forest.

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Section: Scopementioning

confidence: 99%

Section: Spatial and Temporal Heterogeneitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Spatial-Temporal Analysis of Deforestation in Sumatera Island 2011-2019

Putra¹,

Oktora²

2022

icdsos

View full text Add to dashboard Cite

show abstract

“…In practice, extensification is still accomplished through deforestation. The area of the Business Permit for the Use of Timber Products, the Gross Regional Domestic Product, Forestry and Logging subcategories, and non-forest areas (agriculture and mining), have a positive impact on deforestation [2]. In Indonesia, deforestation totaled 462,458 ha in 2018-2019 [3].…”

Section: Introductionmentioning

confidence: 99%

The role of agroforestry based cocoa on climate change mitigation: A review

Supriadi¹,

Astutik²,

Sobari³

2022

IOP Conf. Ser.: Earth Environ. Sci.

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The agroforestry approach is considered the best option for the development of cocoa cultivation in the future. It combined the forest trees as shade plants and cocoa as the main crop on the same land. The farmers are widely adopting agroforestry due to some benefits such as conserving soil water, nutrient, microorganism, and providing a suitable microclimate for cocoa. Here, we reviewed the current research reports on the role of agroforestry based on the perspective of climate change mitigation. It included the point (1) agroforestry based on cocoa could improve total biomass (above and below ground), CO2 absorption, and carbon deposit CO2, (2) carbon sequestration levels of cocoa depending on the forest trees species as shade and location.

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“…However, timber exploitation and community intervention can lead to deforestation [5] [6]. One of the areas experiencing deforestation is the forest in South Kalimantan [7]. The decreasing forest area continuously affects the water catchment area.…”

Section: Introductionmentioning

confidence: 99%

Mapping The Rate Of Deforestation In South Kalimantan Using Landsat Imagery

Mardianis¹,

Razi²

2022

georest

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South Kalimantan Province is an area that has a very large forest area, but this forest continues to decrease due to deforestation. Deforestation continues to be one of the factors causing flooding. Flooding in this area is a recurring disaster that must be overcome. For this reason, it is necessary to calculate changes in forest area so that forest processing can be carried out properly and that banners can be overcome. In this study, the rate of deforestation was calculated using a map of land use change in South Kalimantan Province through the google earth engine platform using Landsat imagery. The method in this research is supervised classification, which is taking polygon samples in land use classification. The image classification algorithm with javascript on the google earth engine platform will classify the same pixel values into the same classification based on the samples that have been made. Through this platform, images in geo.tif format will be obtained. then the image is processed using ArcGIS software to process the image into a map and the area of each classification. This map was then overlaid between 2015, 2018, and 2020 to see the changes. Based on the results of the study, it was found that there was a change in land use, especially in the forest class and community plantations. Forests decreased to 311,255 hectares with a decreasing rate of 62,251 hectares every year, while community plantations increased by 328,858 hectares with an increase of 65,771 hectares every year.

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Aplikasi Regresi Data Panel Dalam Menentukan Determinan Deforestasi Di Kalimantan Periode 2014-2018

Cited by 3 publications

References 0 publications

Spatial-Temporal Analysis of Deforestation in Sumatera Island 2011-2019

Spatial-Temporal Analysis of Deforestation in Sumatera Island 2011-2019

The role of agroforestry based cocoa on climate change mitigation: A review

Mapping The Rate Of Deforestation In South Kalimantan Using Landsat Imagery

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