scholarly journals Predicting Forest Change in Phu Phan National Park, Thailand Using Multi-Temporal Landsat Satellite Images

2020 ◽  
Vol 2 ◽  
pp. 1-1
Author(s):  
Jaturong Som-ard ◽  
Savittri Ratanopad Suwanlee ◽  
Worawit Jitsukka ◽  
Komin Cheunbanyen

Abstract. The Royal Forest Department of Thailand has permitted people to use the resources in national parks since 2005. It leads to a decrease in forest areas. This study aims to monitor and predict forest land change in Phu Phan National Park using Landsat 5 TM images in 1998 and 2008, and Sentinel-2 MSI image in 2018. The atmosphere correction was conducted for satellite images. Land use changes were classified by object base image analysis (OBIA), include forest, agriculture, built-up, water and miscellaneous. The land use maps were measured, and then the CA-Markov model was applied to predict the forest change in a year of 2028. The results demonstrate that overall accuracy (OA) of land use maps is 85.6%, 88%, and 89.6% in 1998, 2008 and 2018, respectively. The land use map in 2018 is more accurate than others because the high-resolution image and current data input. Moreover, the use of reference data nowadays has high potential and reality for classification. During 1998 to 2008, forest and built-up extended 45.35% and 5.07%, respectively. Meanwhile, miscellaneous, agriculture, and water decreased by 41.38%, 21.92%, and 3.45%. During 2008 to 2018, agriculture, miscellaneous, and built-up slightly increased by 21.92%, 14.75%, and 12.26%, respectively while forest and water decreased by 48.82% and 2.24%, respectively. The predicted forest change in 2028 is a decrease by 10.49% due to land use change to miscellaneous, agriculture, built-up, and water area, as forest is likely to be trespassed for built-up and agriculture areas as a result of local population growth. The results of the study can be useful for planning and managing the national park in the future.

1989 ◽  
Vol 16 (1) ◽  
pp. 13-18 ◽  
Author(s):  
Roderick P. Neumann ◽  
Gary E. Machlis

The ecological consequences of contemporary land-use in the neotropics have important influences on national park management in the region. Historical patterns suggest that major land-use changes have occurred regularly, and that these patterns have recently intensified. Is there a relationship between specific land-uses and specific threats to protected areas? Can this relationship be detected in a population of parks?In a survey of managers of 183 national parks, 122 returned questionnaires from 19 countries in the neotropics. We found that a range of land-uses, from livestock grazing to quarrying, are occurring in and around the parks. The results of our statistical analysis indicate that many of these activities are associated with specific threats to park resources: for example, poaching for subsistence was statistically associated with each of the ten most-reported threats.We offer two suggestions for improving our understanding of environmental degradation within parks. First, that research and park management be expanded to acquire a regional focus, namely that the land-transforming activities which threaten park resources can best be understood by incorporating the regional-social and political-economic contexts in the analysis. Second, that the influences of the global economic system be increasingly considered in conceptual frameworks of conservation biology.


2012 ◽  
Vol 7 (No. 1) ◽  
pp. 10-17 ◽  
Author(s):  
S. Wijitkosum

Soil erosion has been considered as the primary cause of soil degradation since soil erosion leads to the loss of topsoil and soil organic matters which are essential for the growing of plants. Land use, which relates to land cover, is one of the influential factors that affect soil erosion. In this study, impacts of land use changes on soil erosion in Pa Deng sub-district, adjacent area of Kaeng Krachan National Park, Thailand, were investigated by applying remote sensing technique, geographical information system (GIS) and the Universal Soil Loss Equation (USLE). The study results revealed that land use changes in terms of area size and pattern influenced the soil erosion risk in Pa Deng in the 1990–2010 period. The area with smaller land cover obviously showed the high risk of soil erosion than the larger land cover did.


2017 ◽  
Vol 23 (3) ◽  
pp. 87-99
Author(s):  
Maria del Rosario Pineda-López ◽  
Ernesto Ruelas Inzunza ◽  
Lázaro Rafael Sánchez-Velásquez ◽  
Marco A. Espinoza Guzmán ◽  
Alberto Rojo Alboreca ◽  
...  

To understand the dynamics of land cover at the Parque Nacional Cofre de Perote, the rates of change in land use were compared at two different scales during the period 1995-2004. At the meso scale, these patterns were studied throughout the entire Parque Nacional Cofre de Perote, which is one of the 60 priority mountains of Mexico, and an important natural protected area of the country located in the state of Veracruz. At a micro scale, the work was focused in ejido El Conejo, located within the boundaries of this national park. Federal government digital orthophotos were used to determine changes in nine categories of land use. In both, the meso- and micro-scale, it was found that the predominant land cover categories are agriculture and forest. The probabilities of land cover change at both scales are low and essentially the same for most land use categories, reflecting both small gains in forest cover park-wide as well as the effectiveness of the ejido in managing natural resources within the park. The authors consider that the findings of the study may be applicable to the broader situation of national parks in Mexico and, finally, the importance of integrating local stakeholders in the management of natural protected areas is discussed.


2021 ◽  
Vol 1 (1) ◽  
pp. 010-020
Author(s):  
Samson Shimelse Jemaneh

The study was conducted in Kafta-Shiraro in Northern region of Ethiopia. The study uses two important parameters to realize the objective of the study investigating themanagement and integration of the park, one is studying and explaining the community perceptions towards elephant (flagship species) conservation in Kafta Shiraro National Park (KSNP) and secondly compare and contrast the population structure and density of the (economically important plant) Boswellia papyrifera (Del.) Hochst inside and outside of the protected areas and the study contribute to the scientific bases for improved management of biodiversity and its conservation system. A total of 100 households were selected from 10 villages using a stratified random sampling. A rapid vegetation assessment survey was conducted in two Boswellia stands, inside the park and outside the park at villages in order to examine the status of the resource base. A total of 40 sample plots of size 20 X 20 m were laid at regular interval along parallel transects with smaller sample plots of size 5 X 5 m nested in the center of each plot for regeneration count. The conflicts between humans and wildlife in KSNP have been getting worse over time and underline the need to find a workable solution to stop the progress of encroaching human activities that are core factors in the conflict. The underlying factors were found to be free encroachment into the wildlife home ranges, mainly for cultivation and dry wood collection. The factors that contributed to the poor conservation of African elephant included weak community awareness and understaffed anti-poaching and patrolling team of the KSNP. The improper land use by host settlers locally called “wefrizemet” as well as legal settlers maximizes the level of habitat disturbance (threat of the elephants in the park) due to illegal cultivation with high number of livestock crossing to the park. B. papyrifera population structure illustrates that natural regeneration is lacking in all two study areas. Additionally, the population of Boswellia in the study areas is unstable and under threat due to lack of recruitments through regeneration. Based on the stands structure analysis, it is hypothesized that lack of natural regeneration is primarily caused by livestock grazing pressure and the absence of recruitment is largely caused by lack of seed production by mother trees as the result of intensive tapping of the frankincense. KSNP is deteriorating due to a lack of integration and development cooperation between the Park and the surrounding local community as well as administration the minimal managerial and institutional capacity of the Park, minimal alternative livelihoods for the surrounding communities, inadequate commitment among all officials in taking the Park as an issue of development agenda, absence of legal procedures and understandings on expansion of large scale farms, unplanned and non-integrated land use systems, and a lack of appropriate outreach programs needed to change the attitudes of the surrounding communities. Collaborative Park management is urgently required to rescue KSNP; agreement should be made from National to Woreda level stakeholders.


2019 ◽  
Vol 8 (2) ◽  
pp. 118-131 ◽  
Author(s):  
T. V. Ramachandra ◽  
Bharath Setturu

The ecosystem of health and natural resource management is influenced by the social, political, economic system and institutional framework in a region. Rapid economic growth in Bangalore and its environs in recent decades has resulted in environmental changes in Bannerghatta National Park (BNP) and its buffer (of 5 km). Land use land cover (LULC) change analysis with a modelling technique such as cellular automata (CA)-Markov was used for quantitatively exploring forest cover transitions. The analysis of LULC dynamics has revealed loss of vegetation cover from 85.78 per cent to 66.37 per cent (1973–2015) and severe environmental stress. The region has lost moist deciduous cover, from 26.1 per cent to 13.8 per cent, and witnessed an increase in horticulture, from 8.5 per cent to 11 per cent (1973–2015). The visualization of likely land use in 2027 indicates the loss of forest cover from 41.38 per cent to 35.59 per cent with an increase in urban area from 4.49 per cent to 9.62 per cent (with new residential and commercial layouts in the buffer zone of BNP in violation of the eco-sensitive zone norms as per Section 5(1) of Environment Protection Act 1986). The study provides insights for developing an appropriate planning framework towards conservation and the sustainable management of ecologically sensitive national parks.


Oryx ◽  
1994 ◽  
Vol 28 (3) ◽  
pp. 173-182
Author(s):  
Jon C. Lovett ◽  
Erik Prins

The Kitulo Plateau of southern Tanzania is a lava plateau covering 273 sq km at an altitude of over 2500 m. The vegetation is predominately grassland with more than 350 taxa of vascular plants, of which nearly 5 per cent are of restricted distribution. Although the plateau is extensive, much of it is now cultivated. Digital analysis of satellite images showed that at least 24 per cent of the plateau was bare soil, modified grassland or cultivation between 1973 and 1989. The botanical importance of the plateau and increase in cultivation make a strong case for the establishment of a nature reserve to protect its rare and threatened plants.


2020 ◽  
Vol 12 (4) ◽  
pp. 1570 ◽  
Author(s):  
Mads Christensen ◽  
Jamal Jokar Arsanjani

The United Nations 2030 Agenda for Sustainable Development and the Sustainable Development Goals (SDG’s) presents a roadmap and a concerted platform of action towards achieving sustainable and inclusive development, leaving no one behind, while preventing environmental degradation and loss of natural resources. However, population growth, increased urbanisation, deforestation, and rapid economic development has decidedly modified the surface of the earth, resulting in dramatic land cover changes, which continue to cause significant degradation of environmental attributes. In order to reshape policies and management frameworks conforming to the objectives of the SDG’s, it is paramount to understand the driving mechanisms of land use changes and determine future patterns of change. This study aims to assess and quantify future land cover changes in Virunga National Park in the Democratic Republic of the Congo by simulating a future landscape for the SDG target year of 2030 in order to provide evidence to support data-driven decision-making processes conforming to the requirements of the SDG’s. The study follows six sequential steps: (a) creation of three land cover maps from 2010, 2015 and 2019 derived from satellite images; (b) land change analysis by cross-tabulation of land cover maps; (c) submodel creation and identification of explanatory variables and dataset creation for each variable; (d) calculation of transition potentials of major transitions within the case study area using machine learning algorithms; (e) change quantification and prediction using Markov chain analysis; and (f) prediction of a 2030 land cover. The model was successfully able to simulate future land cover and land use changes and the dynamics conclude that agricultural expansion and urban development is expected to significantly reduce Virunga’s forest and open land areas in the next 11 years. Accessibility in terms of landscape topography and proximity to existing human activities are concluded to be primary drivers of these changes. Drawing on these conclusions, the discussion provides recommendations and reflections on how the predicted future land cover changes can be used to support and underpin policy frameworks towards achieving the SDG’s and the 2030 Agenda for Sustainable Development.


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