scholarly journals Land-cover change in the department of Vichada, Colombia, from 1985 to 2017

2021 ◽  
Vol 13 (1) ◽  
pp. 149-174
Author(s):  
Juan Vitar ◽  
Karen X. Sandoval Parra ◽  
Martha L. Ortiz Moreno

Contextualization: Colombia has experienced multiple land-cover changes derived from socio-economic policies that have reduced the high biodiversity of the country.  Knowledge gap: In the Orinoquía region, the pressure to expand the agricultural frontier is increasing, without considering the importance of its natural resources.  Purpose: This paper aimed to analyze the land-cover variations associated with agricultural practices, in the department of Vichada, with a special interest in vulnerable ecosystems, such as the Bita’s river basin, using Geographic Information System [GIS] analysis of historical images taken by a remote sensor from the United States Geological Service [USGS] Earth Explorer portal.  Methodology:  Documental review and an analysis of satellite images from 1985 to 2017.  Results and conclusions: The results showed that in Vichada, during a 32-year period, there was a transition from forest to cropland and pastures, in which 60% of the forest cover got lost. Moreover, areas of natural savannas were also replaced with pastures for livestock production. These land-cover changes were associated with government policies that fomented illegal occupation of land, monocultures, and non-native plantation forests. Bita’s river basin also lost a significant part of forest cover because of agribusiness development in the municipality of Puerto Carreño (Vichada). These land-cover changes have an impact on the ecological integrity of significant ecosystems and in their functionality in the region, that is why, conservation measures must be implemented.  

2021 ◽  
Vol 25 (7) ◽  
pp. 130-137
Author(s):  
Sangita Devi ◽  
C. Goswami Dulal

This study attempts to analyse and interpret the land use and land cover changes in two Himalayan river basins viz. the Subansiri and the Alaknanda of eastern and western Himalayas respectively using Remote Sensing and GIS technologies with the help of LANDSAT imageries and standard procedures. It is found from the study that the vegetation cover had declined by 1.81% and barren land by 3.82% in 14 years in case of the Subansiri basin, while in case of the Alaknanda basin, the corresponding values work out to be 4.24% and 3.54% in 13 years. The reason for the decline of the forest cover and barren land may be due to the increasing agricultural practices, population pressure and construction activities in the basins. There are positive changes in agricultural lands by 6.39% and 6.40% in the Subansiri and the Alaknanda basin respectively to fulfil the needs of rising population and their livelihood. The NDVI shows high vegetation indices in both the basins (0.97 in Subansiri and 0.91in Alaknanda). From the study, anthropogenic activities are found to be comparatively more pronounced in the Alaknanda basin as compared to the Subansiri basin.


2017 ◽  
Vol 27 (1) ◽  
pp. 13-24 ◽  
Author(s):  
Fang Wang ◽  
Quansheng Ge ◽  
Qibiao Yu ◽  
Huaxin Wang ◽  
Xinliang Xu

2018 ◽  
Vol 28 (6) ◽  
pp. 973-985 ◽  
Author(s):  
Hengxing Xiang ◽  
Mingming Jia ◽  
Zongming Wang ◽  
Lin Li ◽  
Dehua Mao ◽  
...  

2019 ◽  
Vol 10 (3) ◽  
pp. 212-235
Author(s):  
Fabiana da Silva Pereira ◽  
Ima Célia Guimarães Vieira

The objective of this paper was to evaluate the degree of anthropic transformation of a river basin in the Amazon region. We used the digital data of the TerraClass Project to calculate the Anthropic Transformation Index - ATI. In order to verify spatial and temporal changes along a decade in the Gurupi river basin, we used the database of the years 2004 and 2014. The results showed an increase of anthropic changes in the basin over a decade, as a result of forest cover conversion into agricultural and pastures areas. Although the Gurupi river basin remains at a regular level of degradation after a decade, the intensification of land use and land cover change is a threat to the few rainforest remnants of the river basin, which can lead the region to the next level of degradation, if effective forest protection, conservation and restoration actions are not implemented in the region.  


2017 ◽  
Vol 31 (2) ◽  
pp. 209-219 ◽  
Author(s):  
Ronggo Sadono ◽  
Hartono Hartono ◽  
Mochammad Maksum Machfoedz ◽  
Setiaji Setiaji

Volcanic eruption is one of the natural factors that affect land cover changes. This study aimed to monitor land cover changes using a remote sensing approach in Cangkringan Sub-district, Yogyakarta, Indonesia, one of the areas most vulnerable to Mount Merapi eruption. Three satellite images, dating from 2001, 2006 and 2011, were used as main data for land cover classification based on a supervised classification approach. The land cover detection analysis was undertaken by overlaying the classification results from those images. The results show that the dominant land cover class is annual crops, covering 40% of the study area, while the remaining 60% consists of forest cover types, dryland farming, paddy fields, settlements, and bare land. The forests were distributed in the north, and the annual crops in the middle of the study area, while the villages and the rice fields were generally located in the south. In the 2001–2011 period, forests were the most increased land cover type, while annual crops decreased the most, as a result of the eruption of Mount Merapi in 2010. Such data and information are important for the local government or related institutions to formulate Detailed Spatial Plans (RDTR) in the Disaster-Prone Areas (KRB).


Forest cover in Bengkulu is reduced. Data from WARSI shows, 1990 forest cover areas in the province are approximately 1,009,209 hectares or 50.4 % of the land area reaching 1,979,515 hectares. But now, it is only 685,762 hectares of the area of his blood. That is, the period of 25 years, there is a forest cover decline of 323,447 hectares. Forest and land cover changes are the largest contributor to greenhouse gas emissions. The purpose of this article is to see land cover changes based on carbon stock in the years 2009 and 2018. Model of land cover change based on carbon stock year 2028 and 2038. The method of this research uses the calculation of the Stock Difference Approach with spatial analysis of national land closure of Landsat imagery 2009-2018 and biomass data for forest inventory results Geographic Information System (GIS). The results of this research were the reduced forest area and the change in land use changed from 2009 and 2018. So carbon stock is also increasingly reduced.


2021 ◽  
Vol 912 (1) ◽  
pp. 012026
Author(s):  
A S Thoha ◽  
N Sulistiyono ◽  
N Saraswita ◽  
D Wiranata ◽  
S M Sirait ◽  
...  

Abstract Damage to conservation areas in North Sumatra can be mitigated by understanding the pattern of land cover change, which can be performed by detecting hotspots and their temporal and spatial patterns. This study aimed to explore land cover spatially and temporally before and after forest fires in the conservation areas in North Sumatra. Data on the hotspots, satellite imagery, land cover maps, and field verification were used to see the transition of land cover changes before and after forest and land fires. Temporal and spatial analysis was employed to see the trend of land cover changes of the land before and after the fires. Field verification was conducted through observations and interviews related to land cover conditions in the field caused by forest and land fires. This study found three conservation areas with the highest number of hotspots in 2014 in the period 2001-2019, including Gunung Leuser National Park (GLNP), Dolok Surungan Wildlife Reserve, and Barumun Wildlife Reserve during the 2001-2019 period. In 2010 and 2014 there were strong indications of a large area of land burning in three conservation areas. The burned land was near the outer boundary of the conservation areas and continued to expand into the areas over time. The area of the non-forest cover was relatively stable between periods prior to the discovery of several hotspots. Changes in forest cover to non-forest have become more widespread after the highest number of hotspots were detected in 2010. Conservation area management and various parties need to prevent the expansion of forest clearing considering the strategic role especially in GNLP as a world heritage.


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