scholarly journals Reverse Extraction – Resource Sharing; Participatory Planning in Kodagu, India

2018 ◽  
Vol 30-31 (1) ◽  
Author(s):  
Prashant Hedao ◽  
Michael McCoy ◽  
Raman Sukumar ◽  
James Quinn
Keyword(s):  
Resource Sharing ◽  
Forest Cover ◽  
Regional Scale ◽  
Participatory Planning ◽  
Crop Raiding ◽  
Geospatial Technologies ◽  
Land Use Patterns ◽  
Use Patterns ◽  
Forested Landscapes ◽  
Per Capita Consumption

Traditionally, people have depended on forests for their livelihood and a process of sustainable resource extraction was in place, which typically did not result in major degradation of forested landscapes. With the increase in human population, per capita consumption and commodity exports there have been substantial changes in land use patterns, and depletion of forest cover and habitat for wildlife. In response to shrinking habitat, a new phenomenon of “reverse extraction” is now increasingly visible, where wildlife such as elephants, leopards, wild boar, and several other species are increasingly coming out of their habitat that has resulted in crop raiding, livestock killing, and causing human deaths as well. This paper makes a case for anintegrated conservation planning at a regional scale takes advantage of indigenous knowledge, advances in geospatial technologies, and inclusive, participatory planning as a way forward that would create a people’s plan fulfilling human and wildlife needs.

scholarly journals Turismo basado en naturaleza y conservación biológica: decisiones de uso de suelo en Mindo/ Nature-based tourism and biological conservation: land-use decisions in Mindo

2018 ◽  
pp. 178-198
Author(s):  
Jorje Ignacio Zalles
Keyword(s):  
Land Use ◽  
Forest Restoration ◽  
Forest Cover ◽  
Economic Incentive ◽  
Natural State ◽  
Biological Conservation ◽  
Native Forest ◽  
Land Use Patterns ◽  
Use Patterns ◽  
Land Use Decisions

El turismo basado en naturaleza se reconoce como un incentivo económico indirecto para la conservación biológica. En particular, se espera que las visitas dirigidas a observación de vida silvestre en estado natural aporten al establecimiento de patrones de uso de suelo favorables para la integridad biológica de los paisajes destino. La localidad de Mindo se ha consolidado en décadas recientes como receptora de turismo basado en naturaleza. Este artículo analiza el papel que juega el turismo en decisiones de uso de suelo tendientes al incremento de cobertura forestal nativa en Mindo. Se describe el marco institucional asociado al turismo y se elabora un mapa cognitivo de las decisiones de uso de suelo por participantes en un programa de restauración forestal. La mejora del atractivo turístico mediante restauración forestal es un importante factor de agencia individual en cuanto a uso de suelo en Mindo. Existen desafíos institucionales, sin embargo, que allí limitan el potencial del turismo como fuerza motriz para el incremento en cobertura forestal, y por ende su contribución a la conservación biológica en términos de paisaje. Abstract Nature-based tourism is recognized as an indirect economic incentive for biological conservation. In particular, the expectation is that visits aimed at the observation of wildlife in its natural state will encourage the establishment of land-use patterns that are favorable to the biological integrity of destination landscapes. The locality of Mindo has in recent decades become a well-known destination for nature-based tourism. This article analyzes the role played by tourism in land-use decisions aimed at increasing native forest cover in Mindo. The institutional framework associated with tourism is described, and a cognitive map of land-use decisions by participants in a forest restoration program is presented. The improvement of touristic attractiveness through forest restoration is an important influence on individual agency regarding land use in Mindo. There are institutional challenges, however, that limit tourism´s potential as a land-use driver for increased forest cover, and therefore its contribution to biological conservation at a landscape level.

scholarly journals Haiti has more forest than previously reported: land change 2000–2015

PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e9919
Author(s):  
Ose Pauleus ◽  
T. Mitchell Aide
Keyword(s):  
Land Use ◽  
International Institutions ◽  
Forest Cover ◽  
Landsat Imagery ◽  
Google Earth ◽  
Land Change ◽  
Land Use Patterns ◽  
Forest Patches ◽  
Barren Land ◽  
Use Patterns

Estimates of forest cover have important political, conservation, and funding implications, but methods vary greatly. Haiti has often been cited as one of the most deforested countries in the world, yet estimates of forest cover range from <1% to 33%. Here, we analyze land change for seven land cover classes (forest, shrub land, agriculture/pasture, plantation, urban/infrastructure, barren land, and water) between 2000 and 2015 using Landsat imagery (30 m resolution) in the Google Earth Engine platform. Forest cover was estimated at 26% in 2000 and 21% in 2015. Although forest cover is declining in Haiti, our quantitative analysis resulted in considerably higher forest cover than what is usually reported by local and international institutions. Our results determined that areas of forest decline were mainly converted to shrubs and mixed agriculture/pasture. An important driver of forest loss and degradation could be the high demand for charcoal, which is the principal source of cooking fuel. Our results differ from other forest cover estimates and forest reports from national and international institutions, most likely due to differences in forest definition, data sources, spatial resolution, and methods. In the case of Haiti, this work demonstrates the need for clear and functional definitions and classification methods to accurately represent land use/cover change. Regardless of how forests are defined, forest cover in Haiti will continue to decline unless corrective actions are taken to protect remaining forest patches. This can serve as a warning of the destructive land use patterns and can help us target efforts for better planning, management, and conservation.

Tamils and the Haunting of Justice

2014 ◽  
Author(s):  
Andrew C. Willford
Keyword(s):  
Migrant Workers ◽  
Race And Ethnicity ◽  
Kuala Lumpur ◽  
Labor Costs ◽  
Way Of Life ◽  
Land Use Patterns ◽  
Use Patterns ◽  
Critical Issues ◽  
The Law ◽  
Law And Justice

In 2006, dejected members of the Bukit Jalil Estate community faced eviction from their homes in Kuala Lumpur where they had lived for generations. City officials classified plantation residents as squatters and questioned any right they might have to stay. This story epitomizes the dilemma faced by Malaysian Tamils in recent years as they confront the collapse of the plantation system where they have lived and worked for generations. Foreign workers have been brought in to replace Tamil workers to cut labor costs. As the new migrant workers do not bring their whole families with them, the community structures need no longer be sustained, allowing more land to be converted to mechanized palm oil production or lucrative housing developments. Tamils find themselves increasingly resentful of the fact that lands that were developed and populated by their ancestors are now claimed by Malays as their own; and that the land use patterns in these new townships, are increasingly hostile to the most symbolic vestiges of the Tamil and Hindu presence, the temples. This book is about the fast-approaching end to a way of life, and addresses critical issues in the study of race and ethnicity. It demonstrates which strategies have been most “successful” in navigating the legal and political system of ethnic entitlement and compensation. It shows how, through a variety of strategies, Tamils try to access justice beyond the law-sometimes by using the law, and sometimes by turning to religious symbols and rituals in the murky space between law and justice.

Conducting “Siteless Survey”: Results from Coastal New England

1993 ◽  
Vol 14 (1) ◽  
pp. 25-42 ◽  
Author(s):  
Jordan E. Kerber
Keyword(s):  
Land Use ◽  
New England ◽  
Rhode Island ◽  
Careful Consideration ◽  
Archaeological Survey ◽  
Land Use Patterns ◽  
Use Patterns ◽  
Statistical Validity ◽  
Survey Results ◽  
Survey Strategy

Selecting an effective archaeological survey takes careful consideration given the interaction of several variables, such as the survey's goals, nature of the data base, and budget constraints. This article provides justification for a “siteless survey” using evidence from a project on Potowomut Neck in Rhode Island whose objective was not to locate sites but to examine the distribution and density of prehistoric remains to test an hypothesis related to land use patterns. The survey strategy, random walk, was chosen because it possessed the advantages of probabilistic testing, as well as the ease of locating sample units. The results were within the limits of statistical validity and were found unable to reject the hypothesis. “Siteless survey” may be successfully applied in similar contexts where the distribution and density of materials, as opposed to ambiguously defined sites, are sought as evidence of land use patterns, in particular, and human adaptation, in general.

scholarly journals Modeling Community-Scale Natural Resource Use in a Transboundary Southern African Landscape: Integrating Remote Sensing and Participatory Mapping

2021 ◽  
Vol 13 (4) ◽  
pp. 631
Author(s):  
Kyle D. Woodward ◽  
Narcisa G. Pricope ◽  
Forrest R. Stevens ◽  
Andrea E. Gaughan ◽  
Nicholas E. Kolarik ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Resource Use ◽  
Training Data ◽  
Systems Science ◽  
Participatory Mapping ◽  
Land Use Patterns ◽  
Modeling Framework ◽  
Use Patterns ◽  
Human Habitation

Remote sensing analyses focused on non-timber forest product (NTFP) collection and grazing are current research priorities of land systems science. However, mapping these particular land use patterns in rural heterogeneous landscapes is challenging because their potential signatures on the landscape cannot be positively identified without fine-scale land use data for validation. Using field-mapped resource areas and household survey data from participatory mapping research, we combined various Landsat-derived indices with ancillary data associated with human habitation to model the intensity of grazing and NTFP collection activities at 100-m spatial resolution. The study area is situated centrally within a transboundary southern African landscape that encompasses community-based organization (CBO) areas across three countries. We conducted four iterations of pixel-based random forest models, modifying the variable set to determine which of the covariates are most informative, using the best fit predictions to summarize and compare resource use intensity by resource type and across communities. Pixels within georeferenced, field-mapped resource areas were used as training data. All models had overall accuracies above 60% but those using proxies for human habitation were more robust, with overall accuracies above 90%. The contribution of Landsat data as utilized in our modeling framework was negligible, and further research must be conducted to extract greater value from Landsat or other optical remote sensing platforms to map these land use patterns at moderate resolution. We conclude that similar population proxy covariates should be included in future studies attempting to characterize communal resource use when traditional spectral signatures do not adequately capture resource use intensity alone. This study provides insights into modeling resource use activity when leveraging both remotely sensed data and proxies for human habitation in heterogeneous, spectrally mixed rural land areas.

scholarly journals Non-Standard Discrete RothC Models for Soil Carbon Dynamics

Axioms ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 56
Author(s):  
Fasma Diele ◽  
Carmela Marangi ◽  
Angela Martiradonna
Keyword(s):  
Soil Carbon ◽  
Land Degradation ◽  
Biological Diversity ◽  
Negative Effects ◽  
Land Use Patterns ◽  
Use Patterns ◽  
Soil Carbon Content ◽  
Rothc Model ◽  
Key Indicators

Soil Organic Carbon (SOC) is one of the key indicators of land degradation. SOC positively affects soil functions with regard to habitats, biological diversity and soil fertility; therefore, a reduction in the SOC stock of soil results in degradation, and it may also have potential negative effects on soil-derived ecosystem services. Dynamical models, such as the Rothamsted Carbon (RothC) model, may predict the long-term behaviour of soil carbon content and may suggest optimal land use patterns suitable for the achievement of land degradation neutrality as measured in terms of the SOC indicator. In this paper, we compared continuous and discrete versions of the RothC model, especially to achieve long-term solutions. The original discrete formulation of the RothC model was then compared with a novel non-standard integrator that represents an alternative to the exponential Rosenbrock–Euler approach in the literature.

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