Rucha Ghate

Assessing Plant Diversity in a Dry Tropical Forest: Comparing the Utility of Landsat and Ikonos Satellite Images

While high expectations have been raised about the utility of high resolution satellite imagery for biodiversity assessment, there has been almost no empirical assessment of its use, particularly in the biodiverse tropics which represent a very challenging environment for such assessment challenge. This research evaluates the use of high spatial resolution (IKONOS) and medium spatial resolution (Landsat ETM+) satellite imagery for assessing vegetation diversity in a dry tropical forest in central India. Contrary to expectations, across multiple measures of plant distribution and diversity, the resolution of IKONOS data is too fine for the purpose of plant diversity assessment and Landsat imagery performs better.

Local institutions as mediators of the impact of markets on non-timber forest product extraction in central India

SUMMARY Non-timber forest product (NTFP) extraction contributes significantly to household incomes across India. This study aimed to understand the relationship between market proximity, NTFP dependence and forest condition, and assess how it is mediated by local forest institutions. Three villages with different degrees of access to markets for sale of forest products, in an area of high poverty and forest dependence in the dry tropical forest belt in central India, were examined. The village with the greatest access to the market had a greater proportion of income coming fromnon-forestsources,theleastdependenceonNTFP harvest and the most degraded forests. The strongest forest institution was found in the village closest to the market, owing largely to its access to support from the Forest Department. This emphasizes the extreme vulnerability of forest villages located distant from local markets, which are forced to depend on forests for most of their livelihood and income requirements, and left to deal with degrading forests in the absence of technical and financial support from the Forest Department.Thereisacriticalneedtostrengthenlocal institutions for sustainable forest management in such villages, and to provide them with alternate sources of income generation.

Spectral distance decay: Assessing species beta-diversity by quantile regression

Remotely sensed data represents key information for characterizing and estimating biodiversity. Spectral distance among sites has proven to be a powerful approach for detecting species composition variability. Regression analysis of species similarity versus spectral distance may allow us to quantitatively estimate how beta-diversity in species changes with respect to spectral and ecological variability. In classical regression analysis, the residual sum of squares is minimized for the mean of the dependent variable distribution. However, many ecological datasets are characterized by a high number of zeroes that can add noise to the regression model. Quantile regression can be used to evaluate trend in the upper quantiles rather than a mean trend across the whole distribution of the dependent variable. In this paper, we used ordinary least square (OLS) and quantile regression to estimate the decay of species similarity versus spectral distance. The achieved decay rates were statistically nonzero (p 0.05) considering both OLS and quantile regression. Nonetheless, OLS regression estimate of mean decay rate was only half the decay rate indicated by the upper quantiles. Moreover, the intercept value, representing the similarity reached when spectral distance approaches zero, was very low compared with the intercepts of upper quantiles, which detected high species similarity when habitats are more similar. In this paper we demonstrated the power of using quantile regressions applied to spectral distance decay in order to reveal species diversity patterns otherwise lost or underestimated by ordinary least square regression.

Policy Coherence and Interplay between Climate Change Adaptation Policies and the Forestry Sector in Nepal

Least Developed Countries are likely to be hit the hardest by climate change and need focused efforts towards adaptation. Nepal recognizes that it needs to integrate climate change adaptation into various policies, but limited understanding of how to make these policies coherent is among the factors that hinder effective adaptation action. This can lead to wasted resources and lost opportunities. This paper applies concepts from policy coherence for development frameworks and policy content analysis to examine coherence in Nepal’s climate and forest policies—and discusses the factors hindering effective implementation. The policies are analyzed at the horizontal/external level at three layers—motivation, measures, and planned implementation process. The paper finds that policies are more consistent on motivation level and adaptation measures, but are less coherent on implementation. The National Adaptation Programme of Action (NAPA) is more explicit in identifying institutions, organizations, roles and responsibilities, resource allocation (financial), and a monitoring and evaluation plan for climate change adaptation while other policies such as Climate Change Policy 2011, National Biodiversity Strategy and Action Plan 2014–2020, Forest Policy 2015, and Forest Sector Strategy 2016 have critical gaps in this area. This paper conclude that formulation of a policy, articulating targets, and mobilizing financial resources are in themselves not sufficient to effectively address climate change adaptation. Policy-based legislation is required, together with development of a supportive collaborative multi-stakeholder approach at different levels of governance, backed up by effective, collaborative monitoring and enforcement.

Withering of traditional institutions? An institutional analysis of the decline of migratory pastoralism in the rangelands of the Kailash Sacred Landscape, western Himalayas

This paper looks at the impact of the traditional and emerging institutional environment on the practice of migratory pastoralism in the Kailash Sacred Landscape (KSL), a transborder region in the western Himalayas around the tri-juncture between China, India, and Nepal, where migratory pastoralists have been an important part of the traditional political economy. It develops a conceptual perspective of migratory pastoralism and its associated social–ecological base using concepts drawn from common pool resource theories. The customary patterns of migratory pastoralism are described, as are the intra and extra-regional factors that have led to its decline. Understanding the transformation in recent decades of the variables linked to the social–ecological systems of the KSL, such as the sociocultural attributes of the landscape’s communities, the rules of resource management, and the biophysical attributes of the natural resource base, is key to understanding the decline of migratory pastoralism in the landscape. Recent geopolitics, national development trajectories, changing natural resource governance schemes, community adaptation strategies, and changing cultural perceptions all come together to shape the present day vulnerability of migratory pastoralism in this landscape.

Forest protection in Central India: do differences in monitoring by state and local institutions result in diverse social and ecological impacts?

Protection of forests and wildlife outside protected areas (PAs) is necessary for the conservation of wildlife. Extension of conservation efforts outside the existing PA may result in restrictions on local forest resource use. Such situations arise due to differences in understanding of forest as a resource for communities and as a conservation space for endangered species. A clearer focus is needed on the functionality and socio-ecological outcomes of different forest management institutions to address such issues. We conducted a study in a forest landscape connecting Pench and Tadoba-Andhari Tiger Reserves (TRs) in Central India. The two main forest management institutions were the Forest Department (FD) and local communities managing forest resources. We conducted vegetation surveys and focus group discussions in 15 villages selected based on presence or absence of active protection and monitoring of forest resources by either FD or local people. We found that forests with monitoring had significantly higher tree density and vegetation species richness compared to forests without monitoring. Tree density was observed to be higher in sites monitored by villagers rather than those monitored by FD. Self-regulation and resource sharing in locally monitored forests were more acceptable to local communities. In forests monitored by the FD, local communities indicated a feeling of alienation from the forest that weakened their motivation to protect the forest and wildlife. Recognition of local community rights is essential to achieve conservation goals and reduce social conflicts outside PAs, requiring collaboration between state and local institutions.