scholarly journals Investigating forest fragmentation through earth observation datasets and metric analysis in the tropical rainforest area

2021 ◽  
Vol 3 (7) ◽  
Author(s):  
Osaka Ruandache Pyngrope ◽  
Mukesh Kumar ◽  
Rocky Pebam ◽  
Sudhir Kumar Singh ◽  
Arnab Kundu ◽  
...  
Keyword(s):  
Forest Cover ◽  
Conservation Strategies ◽  
Multispectral Images ◽  
Mining Operations ◽  
Policy Makers ◽  
Metric Analysis ◽  
Dense Forest ◽  
Forested Areas ◽  
Jaintia Hills ◽  
Aid Policy

AbstractExtensive mining operations, deforestation, jhumming, and soil erosion coupled with population stress in the study area have put an adverse effect on its forest resources. This study investigates the transition in forest cover classes and its fragmentation in the Jaiñtia Hills District of Meghalaya (India). Satellite data (multispectral images from Landsat 5 and 8) for 1995, 2001, 2007, and 2015 were classified using the supervised classification method. Landscape metrics from the classified images were calculated using FRAGSTATS. The overall accuracy of classification was found to be 87.50% (1995), 87.50% (2001), 85.00% (2007) and 91.67% (2015), respectively. The results revealed an increase in dense forest with an increase in the patch number from 1995 to 2007. Additionally, a decrease in non-forest cover with an increase in the number of patches from 2001 to 2015 was observed which further suggests fragmentation. It has been reported that 8.13% of the dense forest increased and 19.47% of non-forested areas decreased during the study period. Overall, this study highlights the changes in the distribution of forest area which could aid policy makers to adopt appropriate forest conservation strategies.

Landscape correlates of bushmeat consumption and hunting in a post-frontier Amazonian region

2017 ◽  
Vol 45 (4) ◽  
pp. 315-323 ◽  
Author(s):  
PATRICIA CARIGNANO TORRES ◽  
CARLA MORSELLO ◽  
LUKE PARRY ◽  
JOS BARLOW ◽  
JOICE FERREIRA ◽  
...  
Keyword(s):  
Urban Areas ◽  
Forest Cover ◽  
Supply And Demand ◽  
Landscape Context ◽  
Conservation Strategies ◽  
Urban Migration ◽  
Landscape Characteristics ◽  
Frontier Region ◽  
Forest Regions ◽  
Forested Areas

SUMMARYIdentifying the drivers of bushmeat consumption and hunting is important for informing conservation strategies and recognizing challenges to human food security. However, studies often neglect the importance of landscape context, which can influence bushmeat supply and demand. Here, by quantifying bushmeat consumption and hunting in 262 households in a post-frontier region in Amazonia, we tested the hypotheses that bushmeat consumption and hunting are positively associated with two landscape characteristics: (1) forest cover, which has been shown to define game availability; and (2) remoteness, which is related to limited access to marketed meat. Bushmeat consumption was widespread but more likely in remote forested areas. Hunting was more likely in more forested areas, especially nearer to urban centres. Our findings suggest that bushmeat remains an important food source even in heavily altered forest regions and that landscape context is an important determinant of bushmeat consumption and hunting. Although people living in remote, forested areas are likely to be the most dependent on bushmeat, those living in more populous, peri-urban areas are likely the actors contributing most to total hunting effort, due to a higher probability of hunting combined with higher human population densities. This finding undermines the assumption that rural–urban migration in the tropics will deliver a much-needed reprieve for many overhunted species.

scholarly journals Buffer Stock Operations and Well-Being: The Case of Smallholder Farmers in Ghana

2021 ◽  
Author(s):  
Emmanuel Abokyi ◽  
Dirk Strijker ◽  
Kofi Fred Asiedu ◽  
Michiel N. Daams
Keyword(s):  
Stock Price ◽  
Smallholder Farmers ◽  
Well Being ◽  
Buffer Stock ◽  
Least Square ◽  
Subjective Well Being ◽  
Stabilization Policy ◽  
Environmental Aspects ◽  
Policy Makers ◽  
Aid Policy

AbstractThis study investigates the possible causal relationship between buffer stock operations in Ghanaian agriculture and the well-being of smallholder farmers in a developing world setting. We analyze the differences in the objective and subjective well-being of smallholder farmers who do or do not participate in a buffer stock price stabilization policy initiative, using self-reported assessments of 507 farmers. We adopt a two-stage least square instrumental variable estimation to account for possible endogeneity. Our results provide evidence that participation in buffer stock operations improves the objective and subjective well-being of smallholder farmers by 20% and 15%, respectively. Also, with estimated coefficient of 1.033, we find a significant and robust relationship between objective well-being and subjective well-being among smallholder farmers. This relationship implies that improving objective well-being enhances the subjective well-being of the farmers. We also find that the activities of intermediaries decrease both the objective and subjective well-being of farmers. This study demonstrates that economic, social, and environmental aspects of agricultural life could constitute priorities for public policy in improving well-being, given their strong correlation with the well-being of farmers. Based on the results of this study, we provide a better understanding, which may aid policy-makers, that public buffer stockholding operations policy is a viable tool for improving the well-being of smallholder farmers in a developing country.

Contrôle des impacts du camping en milieu forestier

1985 ◽  
Vol 61 (5) ◽  
pp. 351-357 ◽  
Author(s):  
Jean-Claude Ruel ◽  
Marius Pineau ◽  
Louis Bélanger
Keyword(s):  
Key Words ◽  
Site Selection ◽  
Forest Cover ◽  
Soil Density ◽  
Ground Flora ◽  
Forested Areas ◽  
Monitoring Treatment ◽  
Cover Density ◽  
Recreation Impact

Much of the deterioration observed on many campgrounds in forested areas is closely linked to the presence of the camper. Thus, ground flora cover and composition, forest cover density and vigour, soil density and permeability are affected. Appropriate actions could be taken to reduce undesirable alterations: proper site selection, concentration of the utilization, deterioration monitoring, treatment of the vegetation and modification of the camper's behaviour. Key words: camping; recreation, impact.

scholarly journals Gold, timber, war and parks : A history of the Rushworth Forest in central Victoria

2010 ◽  
Vol 122 (2) ◽  
pp. 130 ◽  
Author(s):  
Ruth E. Lawrence ◽  
Marc P. Bellette
Keyword(s):  
World War Ii ◽  
Gold Mining ◽  
Forest Cover ◽  
Environmental Changes ◽  
Resource Utilisation ◽  
World War ◽  
Mining Operations ◽  
Prisoner Of War ◽  
Central Victoria ◽  
History Of

The Rushworth Forest is a Box and Ironbark open sclerophyll forest in central Victoria that has been subject to a long history of gold mining activity and forest utilisation. This paper documents the major periods of land use history in the Rushworth Forest and comments on the environmental changes that have occurred as a result. During the 1850s to 1890s, the Forest was subject to extensive gold mining operations, timber resource use, and other forest product utilisation, which generated major changes to the forest soils, vegetation structure and species cover. From the 1890s to 1930s, concern for diminishing forest cover across central Victoria led to the creation of timber reserves, including the Rushworth State Forest. After the formation of a government forestry department in 1919, silvicultural practices were introduced which aimed at maximising the output of tall timber production above all else. During World War II, the management of the Forest was taken over by the Australian Army as Prisoner of War camps were established to harvest timber from the Forest for firewood production. Following the War, the focus of forestry in Victoria moved away from the Box and Ironbark forests, but low value resource utilisation continued in the Rushworth Forest from the 1940s to 1990s. In 2002, about one-third of the Forest was declared a National Park and the other two-thirds continued as a State Forest. Today, the characteristics of the biophysical environment reflect the multiple layers of past land uses that have occurred in the Rushworth Forest.

scholarly journals Witness protection in the criminal justice system of the Baham

2020 ◽  
Vol 12 (1) ◽  
pp. 167-194
Author(s):  
David Baxter Bakibinga
Keyword(s):  
Criminal Justice ◽  
National Level ◽  
Legal Framework ◽  
The Bahamas ◽  
Protection Measures ◽  
Policy Makers ◽  
Criminal Justice Systems ◽  
The Government ◽  
Aid Policy

Witness protection is now firmly entrenched in the modern criminal justice systems especially in jurisdictions dealing with organized and violent crime. The decision by the government of The Commonwealth of The Bahamas to enact legislation in respect to procedural and non-procedural measures for protection of witnesses is commendable, given that violent and organized crime is rife in the country. This article highlights the basic tenets of witness protection and the legal framework, both at the international and national level. It also addresses the role of key duty bearers in the process of witness protection. Furthermore the procedural and non-procedural measures taken by law enforcement officers in The Bahamas are explored. And lastly, the challenges encountered in the implementation of the witness protection measures in The Bahamas are examined. This is intended to aid policy makers, advisers and those entrusted with decision making, like parliamentarians, to devise means and ways to eradicate and/or mitigate challenges faced in the implementation of witness protection measures in The Bahamas.

scholarly journals Decades of tree planting in Northern India had little effect on forest density and rural livelihoods

2021 ◽  
Author(s):  
Eric Coleman ◽  
Bill Schultz ◽  
Vijay Ramprasad ◽  
Harry Fischer ◽  
Pushpendra Rana ◽  
...  
Keyword(s):  
Forest Cover ◽  
Rural Livelihoods ◽  
Mitigation Strategy ◽  
Tree Planting ◽  
Climate Mitigation ◽  
Forest Density ◽  
Northern India ◽  
Local Livelihoods ◽  
Dense Forest ◽  
Household Livelihood

Abstract Myriad scholars, policymakers, and practitioners advocate tree planting as a climate mitigation strategy and to support local livelihoods. But, is the broad appeal of tree planting supported by evidence? We report estimated impacts from decades of tree planting in Northern India. We find that tree plantings have not, on average, increased the proportion of dense forest cover, and have modestly shifted species composition away from the broadleaf varieties valued by local people. Supplementary analysis from household livelihood surveys show that, in contrast to narratives of forest dependent people being supported by tree planting, there are few direct users of these plantations and their dependence is low. We conclude that decades of expensive tree planting programs have not proved effective.

scholarly journals Contributing Factors to Forest Loss in Conterminous U.S. for the 1990s and 2000s

2021 ◽  
Vol 02 (04) ◽  
pp. 1-1
Author(s):  
Giorgos Mountrakis ◽  
◽  
Sheng Yang ◽  
Keyword(s):  
Forest Cover ◽  
Explanatory Power ◽  
National Level ◽  
Influential Factor ◽  
Local Context ◽  
Forest Loss ◽  
The South ◽  
Contributing Factors ◽  
Spatial Error ◽  
Forested Areas

While numerous studies have considered forest loss factors at local scales, there is a gap of comparative quantitative regional modeling at the U.S. national level. Here, we investigated statistical relationships between gross forest cover loss (GFCL) and numerous socioeconomic, biophysical and ownership variables between two decades, the 1990s and the 2000s. A spatial error model was employed to compensate for spatial autocorrelation effects. Models from the 2000s had stronger explanatory power than the 1990s models, especially in the Northeast and the South (R<sup>2</sup> of 0.89 and 0.87 respectively). The amount of forested areas in low slopes was a highly influential factor for high GFCL, followed by urban area cover and mill density. On the other hand, agricultural cover was negatively correlated with GFCL acting as a stabilizing factor in the South and Midwest regions. Our study offers an important insight in regional drivers of GFCL, drivers that should be further examined in the local context to gather better understanding of their contributions.

Spatial Model Approach for Deforestation

2013 ◽  
pp. 1901-1912
Author(s):  
Lilik B. Prasetyo ◽  
Chandra Irawadi Wijaya ◽  
Yudi Setiawan
Keyword(s):  
Population Density ◽  
Rural Areas ◽  
Forest Cover ◽  
Positive Impact ◽  
Forest Loss ◽  
Road Density ◽  
Policy Makers ◽  
Explanatory Variables ◽  
The Government ◽  
Negative Impacts

Java is very densely populated since it is inhabited by more than 60% of the total population of Indonesia. Based on data from the Ministry of Forestry, forest loss between 2000-2005 in Java was about 800,000 hectares. Regardless of the debate on whether the different methodologies of forest inventory applied in 2005 have resulted in an underestimation of the figure of forest loss or not, the decrease of forest cover in Java is obvious and needs immediate response. Spatial modeling of the deforestation will assist the policy makers in understanding this process and in taking it into consideration, when decisions are made on the issue. Moreover, the results can be used as data input to solve environmental problems resulting from deforestation. The authors of this chapter modeled the deforestation in Java by using logistic regression. Percentage of deforested area was considered as the response variable, whilst biophysical and socioeconomic factors, that explain the current spatial pattern in deforestation, were assigned as explanatory variables. Furthermore, the authors predicted the future deforestation process, and then, for the case of Java, it was validated with the actual deforestation derived from MODIS satellite imageries from 2000 to 2008. Results of the study showed that the impacts of population density, road density, and slope are significant. Population density and road density have negative impacts on deforestation, while slope has positive impact. Deforestation on Java Island tends to occur in remote areas with limited access, low density population and relatively steep slopes. Implication of the model is that the government should pay more attention to remote rural areas and develop good access to accelerate and create alternative non agricultural jobs in order to reduce pressure on the forest.

Spatial Model Approach for Deforestation

2011 ◽  
pp. 376-387 ◽  
Author(s):  
Lilik B. Prasetyo ◽  
Chandra Irawadi Wijaya ◽  
Yudi Setiawan
Keyword(s):  
Population Density ◽  
Rural Areas ◽  
Forest Cover ◽  
Positive Impact ◽  
Forest Loss ◽  
Road Density ◽  
Policy Makers ◽  
Explanatory Variables ◽  
The Government ◽  
Negative Impacts

Java is very densely populated since it is inhabited by more than 60% of the total population of Indonesia. Based on data from the Ministry of Forestry, forest loss between 2000-2005 in Java was about 800,000 hectares. Regardless of the debate on whether the different methodologies of forest inventory applied in 2005 have resulted in an underestimation of the figure of forest loss or not, the decrease of forest cover in Java is obvious and needs immediate response. Spatial modeling of the deforestation will assist the policy makers in understanding this process and in taking it into consideration, when decisions are made on the issue. Moreover, the results can be used as data input to solve environmental problems resulting from deforestation. The authors of this chapter modeled the deforestation in Java by using logistic regression. Percentage of deforested area was considered as the response variable, whilst biophysical and socioeconomic factors, that explain the current spatial pattern in deforestation, were assigned as explanatory variables. Furthermore, the authors predicted the future deforestation process, and then, for the case of Java, it was validated with the actual deforestation derived from MODIS satellite imageries from 2000 to 2008. Results of the study showed that the impacts of population density, road density, and slope are significant. Population density and road density have negative impacts on deforestation, while slope has positive impact. Deforestation on Java Island tends to occur in remote areas with limited access, low density population and relatively steep slopes. Implication of the model is that the government should pay more attention to remote rural areas and develop good access to accelerate and create alternative non agricultural jobs in order to reduce pressure on the forest.

scholarly journals Mapping Landslide Prediction through a GIS-Based Model: A Case Study in a Catchment in Southern Italy

Geosciences ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. 309
Author(s):  
Federico Valerio Moresi ◽  
Mauro Maesano ◽  
Alessio Collalti ◽  
Roy C. Sidle ◽  
Giorgio Matteucci ◽  
...  
Keyword(s):  
Forest Cover ◽  
Shallow Landslides ◽  
Susceptibility Map ◽  
Infinite Slope ◽  
South Italy ◽  
Physically Based ◽  
Root Strength ◽  
Forested Areas ◽  
Forest Mountain

Shallow landslides are an increasing concern in Italy and worldwide because of the frequent association with vegetation management. As vegetation cover plays a fundamental role in slope stability, we developed a GIS-based model to evaluate the influence of plant roots on slope safety, and also included a landslide susceptibility map. The GIS-based model, 4SLIDE, is a physically based predictor for shallow landslides that combines geological, topographical, and hydrogeological data. The 4SLIDE combines the infinite slope model, TOPMODEL (for the estimation of the saturated water level), and a vegetation root strength model, which facilitates prediction of locations that are more susceptible for shallow landslides as a function of forest cover. The aim is to define the spatial distribution of Factor of Safety (FS) in steep-forested areas. The GIS-based model 4SLIDE was tested in a forest mountain watershed located in the Sila Greca (Cosenza, Calabria, South Italy) where almost 93% of the area is covered by forest. The sensitive ROC analysis (Receiver Operating Characteristic) indicates that the model has good predictive capability in identifying the areas sensitive to shallow landslides. The localization of areas at risk of landslides plays an important role in land management activities because landslides are among the most costly and dangerous hazards.

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