scholarly journals Impact of protected areas and co-management on forest cover: A case study from Teknaf Wildlife Sanctuary, Bangladesh

2022 ◽  
Vol 113 ◽  
pp. 105932
Author(s):  
S M Asik Ullah ◽  
Masakazu Tani ◽  
Jun Tsuchiya ◽  
M.Abiar Rahman ◽  
Masao Moriyama
Keyword(s):  
Protected Areas ◽  
Forest Cover ◽  
Wildlife Sanctuary

scholarly journals Assessing the tropical forest cover change in northern parts of Sonitpur and Udalguri District of Assam, India

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ranjit Mahato ◽  
Gibji Nimasow ◽  
Oyi Dai Nimasow ◽  
Dhoni Bushi
Keyword(s):  
Protected Areas ◽  
National Park ◽  
Large Scale ◽  
Forest Cover ◽  
Ground Truth ◽  
Forest Cover Change ◽  
Wildlife Sanctuary ◽  
Remotely Sensed Data ◽  
Ground Truth Data ◽  
Increasing Trends

AbstractSonitpur and Udalguri district of Assam possess rich tropical forests with equally important faunal species. The Nameri National Park, Sonai-Rupai Wildlife Sanctuary, and other Reserved Forests are areas of attraction for tourists and wildlife lovers. However, these protected areas are reportedly facing the problem of encroachment and large-scale deforestation. Therefore, this study attempts to estimate the forest cover change in the area through integrating the remotely sensed data of 1990, 2000, 2010, and 2020 with the Geographic Information System. The Maximum Likelihood algorithm-based supervised classification shows acceptable agreement between the classified image and the ground truth data with an overall accuracy of about 96% and a Kappa coefficient of 0.95. The results reveal a forest cover loss of 7.47% from 1990 to 2000 and 7.11% from 2000 to 2010. However, there was a slight gain of 2.34% in forest cover from 2010 to 2020. The net change of forest to non-forest was 195.17 km2 in the last forty years. The forest transition map shows a declining trend of forest remained forest till 2010 and a slight increase after that. There was a considerable decline in the forest to non-forest (11.94% to 3.50%) from 2000–2010 to 2010–2020. Further, a perceptible gain was also observed in the non-forest to the forest during the last four decades. The overlay analysis of forest cover maps show an area of 460.76 km2 (28.89%) as forest (unchanged), 764.21 km2 (47.91%) as non-forest (unchanged), 282.67 km2 (17.72%) as deforestation and 87.50 km2 (5.48%) as afforestation. The study found hotspots of deforestation in the closest areas of National Park, Wildlife Sanctuary, and Reserved Forests due to encroachments for human habitation, agriculture, and timber/fuelwood extractions. Therefore, the study suggests an early declaration of these protected areas as Eco-Sensitive Zone to control the increasing trends of deforestation.

Local Residents' Knowledge about Protected Areas: A Case Study in Dandeli Wildlife Sanctuary, India

2012 ◽  
Vol 25 (4) ◽  
pp. 410-420 ◽  
Author(s):  
Marc Olomí-Solà ◽  
Francisco Zorondo-Rodríguez ◽  
Margarita Triguero-Mas ◽  
Naveen Jha ◽  
Victoria Reyes-García
Keyword(s):  
Protected Areas ◽  
Wildlife Sanctuary ◽  
Local Residents

scholarly journals Exemplifying Stratified Deforestation in Four Protected Areas in Madagascar

Forests ◽  
2021 ◽  
Vol 12 (9) ◽  
pp. 1143
Author(s):  
Serge C. Rafanoharana ◽  
Fatany Ollier D. Andrianambinina ◽  
Henintsoa Andry Rasamuel ◽  
Mamy A. Rakotoarijaona ◽  
Jörg U. Ganzhorn ◽  
...  
Keyword(s):  
Protected Areas ◽  
Forest Cover ◽  
Time Window ◽  
Deforestation Rate ◽  
Study Approach ◽  
Tailored Interventions ◽  
Deforestation Rates ◽  
Network Update ◽  
Land Covers

Protected areas (PAs) are a cornerstone for conservation biodiversity. Madagascar, as a hotspot for biodiversity, has a network of 114 terrestrial protected areas covering the main forest types occurring on the island. Deforestation continues unabated despite the network covering 11% of the island. Here we present a case study approach reporting on four PAs from the humid forests, dry western forests, and southwestern dry and spiny forests and thickets. To describe deforestation in and around the case sites, we have considered a time window of 30 years for analysis, focusing on six years with reliable data: 1990, 2000, 2010, 2015 (the year of latest PA network update), and 2017. We have considered forest versus other land covers within the PAs in “buffers” at a distance of 500 m, 2.5 km, 5 km, and 10 km from the border of the PA. These buffers were set from the border towards the center of the PA (inside the PAs) and from the border outside the PAs. The smallest PAs, Kasijy (IUCN IV), and Behara Tranomaro (no IUCN category), showed the least forest loss. Tsaratanana (IUCN I) had the highest deforestation rates within the last two years of analysis, with deforestation concentrated in the core area. Ranobe PK-32 (no IUCN category), originally with the largest forest extent, has lost most of its forest cover and showed the highest annual deforestation rate (3.5%) between 2015 and 2017. All four cases prove to be very challenging to manage. Future conservation activities require tailored interventions to account for site-specific current and potential future threats, as detailed in this contribution.

scholarly journals Assessing the tropical forest cover change in northern parts of Sonitpur and Udalguri district of Assam, India

2021 ◽  
Author(s):  
Ranjit Mahato ◽  
Gibji Nimasow ◽  
Oyi Dai Nimasow ◽  
Dhoni Bushi
Keyword(s):  
Protected Areas ◽  
National Park ◽  
Large Scale ◽  
Forest Cover ◽  
Ground Truth ◽  
Forest Cover Change ◽  
Wildlife Sanctuary ◽  
Remotely Sensed Data ◽  
Ground Truth Data ◽  
Increasing Trends

Abstract Sonitpur and Udalguri district of Assam possess rich tropical forests with equally important faunal species. The Nameri National Park, Sonai-Rupai Wildlife Sanctuary, and other Reserved Forests are areas of attraction for the tourists and wildlife lovers. However, these protected areas are reportedly facing the problem of encroachment and large-scale deforestation. So, this study attempts to estimate the forest cover change in the area through integrating the remotely sensed data of 1990, 2000, 2010, and 2020 with Geographic Information System. The Maximum Likelihood algorithm based supervised classification shows acceptable agreement between the classified image and the ground truth data with an overall accuracy of about 96% and a Kappa coefficient of 0.95. The results reveal a forest cover loss of 7.47% from 1990 to 2000 and 7.11% from 2000 to 2010. However, there was a slight gain of 2.34% in forest cover from 2010 to 2020. The net change of forest to non-forest was 195.17 km2 in the last forty years. The forest transition map shows a declining trend of forest remains forest till 2010 and a slight increase after that. There was a considerable decline in the forest to non-forest (11.94% to 3.50%) from 2000-2010 to 2010-2020. Further, a perceptible gain was also observed in the non-forest to the forest during the last four decades. The overlay analysis of forest cover maps show an area of 460.76 km2 (28.89%) as forest (unchanged), 764.21 km2 (47.91%) as non-forest (unchanged), 282.67 km2 (17.72%) as deforestation and 87.50 km2 (5.48%) as afforestation. The study found hotspots of deforestation in the closest areas of National Park, Wildlife Sanctuary, and Reserved Forests due to encroachments for human habitation, agriculture, and timber/fuelwood extractions. Therefore, the study suggests an early declaration of these protected areas as Eco-Sensitive Zone to control the increasing trends of deforestation.

scholarly journals Understanding people’s perception and attitudes towards mammalian fauna using qualitative data: a case study in Barail Wildlife Sanctuary, India

2019 ◽  
Vol 11 (15) ◽  
pp. 14979-14988
Author(s):  
Amir Sohail Choudhury ◽  
Rofik Ahmed Barbhuiya ◽  
Parthankar Choudhury
Keyword(s):  
Protected Areas ◽  
Prima Facie ◽  
Mammalian Fauna ◽  
Wildlife Sanctuary ◽  
Conservation Policies ◽  
Alternative Livelihood ◽  
People’S Perception ◽  
Alternative Means

A concise interpretation of people’s perception and attitude towards wildlife helps in formulating better long-term conservation policies.  In an attempt to understand people’s perception, we considered one of the threatened and least known ecosystems of northeastern India, the Barail range, mainly focusing on the Barail Wildlife Sanctuary, the only protected area of this range, and falls in the Indo-Burma biodiversity hotspot area.  The sanctuary is known for a high diversity of mammals, mainly primates (with seven reported species), and bears (with three of the eight globally known species—a diversity not met elsewhere in the globe).  To protect its pristine wildlife wealth, it is essential that the perception of the local settlers is elucidated, and this prompted us to take up the present study. In this study, we used open- and close-ended questionnaire, which was then coded (yes/positive=1 and no/negative=0).  Each response was thoroughly examined using logistic regression and variables like socio-economic factors, knowledge of the sanctuary, wildlife and forest management were found to generate positive perception towards the sanctuary and its wildlife, and vice-versa.  Further, alternative means is suggested in terms of tourism, and the attitudes towards instigation of tourism were mostly favoured by the locals.  Besides promoting tourism, providing alternative livelihood and vocational trainings for the locals and, timely compensation for the losses caused by the animals should be long-term strategies for the conservation of the mammals of the sanctuary.  It has been increasingly recognized that involvement of locals is a prima facie requirement in the conservation of wildlife, and as such their perception is of great significance.  While the study was conducted at the Barail Wildlife Sanctuary, the results may translate in other protected areas, and may be referred to as a model strategy for other protected areas having similar scenario.

scholarly journals Human attitudes towards the conservation of protected areas: a case study from four protected areas in Bangladesh

Oryx ◽  
2011 ◽  
Vol 45 (3) ◽  
pp. 391-400 ◽  
Author(s):  
A. H. M. R. Sarker ◽  
E. Røskaft
Keyword(s):  
Protected Areas ◽  
Economic Factors ◽  
Monthly Income ◽  
Wildlife Sanctuary ◽  
Forest Reserves ◽  
South Eastern ◽  
Positive Attitudes ◽  
Game Reserve ◽  
Socio Economic Factors

AbstractThis study was based on interviews with 388 randomly selected households living near four protected areas in northern and south-eastern Bangladesh: Chunati Wildlife Sanctuary, Teknaf Game Reserve and two forest reserves. The respondents were generally poor and their perception of conservation varied across the study areas. Respondents were generally reluctant to embrace conservation and their attitude towards the conservation of protected areas depended on a set of demographic and socio-economic factors. People in northern Bangladesh had somewhat more positive attitudes towards conservation than those in the south-east. The two most important variables explaining respondents’ attitudes towards conservation were the distance they lived from protected areas and their monthly income. People who are poor and who live closer to the protected areas disliked the conservation measures most.

scholarly journals Challenging the State: Devolutionary Tenure Transitions for Saving and Expanding Forests

Human Ecology ◽  
2021 ◽  
Author(s):  
Liz Alden Wily
Keyword(s):  
Rural Communities ◽  
Property Rights ◽  
Protected Areas ◽  
Forest Cover ◽  
Biological Diversity ◽  
Convention On Biological Diversity ◽  
Property Relations ◽  
The Will ◽  
Customary Land

AbstractI address a contentious element in forest property relations to illustrate the role of ownership in protecting and expanding of forest cover by examining the extent to which rural communities may legally own forests. The premise is that whilst state-owned protected areas have contributed enormously to forest survival, this has been insufficiently successful to justify the mass dispossession of customary land-owning communities this has entailed. Further, I argue that state co-option of community lands is unwarranted. Rural communities on all continents ably demonstrate the will and capacity to conserve forests – provided their customary ownership is legally recognized. I explore the property rights reforms now enabling this. The replication potential of community protected forestlands is great enough to deserve flagship status in global commitments to expand forest including in the upcoming new Convention on Biological Diversity (CBD).

scholarly journals Geospatial Serverless Computing: Architectures, Tools and Future Directions

2020 ◽  
Vol 9 (5) ◽  
pp. 311 ◽  
Author(s):  
Sujit Bebortta ◽  
Saneev Kumar Das ◽  
Meenakshi Kandpal ◽  
Rabindra Kumar Barik ◽  
Harishchandra Dubey
Keyword(s):  
Big Data ◽  
Forest Cover ◽  
Mineral Resources ◽  
Hyperspectral Data ◽  
Real Time Analysis ◽  
First Case ◽  
Amazon Web Services ◽  
Aws Lambda ◽  
Physical Features

Several real-world applications involve the aggregation of physical features corresponding to different geographic and topographic phenomena. This information plays a crucial role in analyzing and predicting several events. The application areas, which often require a real-time analysis, include traffic flow, forest cover, disease monitoring and so on. Thus, most of the existing systems portray some limitations at various levels of processing and implementation. Some of the most commonly observed factors involve lack of reliability, scalability and exceeding computational costs. In this paper, we address different well-known scalable serverless frameworks i.e., Amazon Web Services (AWS) Lambda, Google Cloud Functions and Microsoft Azure Functions for the management of geospatial big data. We discuss some of the existing approaches that are popularly used in analyzing geospatial big data and indicate their limitations. We report the applicability of our proposed framework in context of Cloud Geographic Information System (GIS) platform. An account of some state-of-the-art technologies and tools relevant to our problem domain are discussed. We also visualize performance of the proposed framework in terms of reliability, scalability, speed and security parameters. Furthermore, we present the map overlay analysis, point-cluster analysis, the generated heatmap and clustering analysis. Some relevant statistical plots are also visualized. In this paper, we consider two application case-studies. The first case study was explored using the Mineral Resources Data System (MRDS) dataset, which refers to worldwide density of mineral resources in a country-wise fashion. The second case study was performed using the Fairfax Forecast Households dataset, which signifies the parcel-level household prediction for 30 consecutive years. The proposed model integrates a serverless framework to reduce timing constraints and it also improves the performance associated to geospatial data processing for high-dimensional hyperspectral data.

Sign in / Sign up

Export Citation Format

Share Document