10 research outputs found

    CRB drivers South Asia

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    Data

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    Data for CRB drivers South Asi

    Parks protect forest cover in a tropical biodiversity hotspot, but high human population densities can limit success

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    Maintaining forest cover is important for Biodiversity Hotspots that support many endangered and endemic species but have lost much of their original forest extent. In developing countries, ongoing economic and demographic growth within Hotspots can alter rates and patterns of deforestation, making it a concern to quantify rates of forest loss and assess landscape-scale correlates of deforestation within Hotspots. Such analyses can help set baselines for future monitoring and provide landscape-scale perspectives to design conservation policy. For the Western Ghats Biodiversity Hotspot in India, we examined correlates of forest loss following rapid economic expansion (post-2000 CE). First, we used open-source remote-sensing data to estimate annual trends in recent forest loss (from 2000 to 2016) for the entire Hotspot. Across the entire Western Ghats, we assessed the relative importance of and interactions among demographic, administrative, and biophysical factors that predicted rates of forest loss—measured as the number of 30 × 30-m pixels of forest lost within randomly selected 1 km2 cells. Protected areas reduced forest loss by 30%, especially when forests were closer to roads (33%) and towns (36%). However, the advantage of protection declined by 32% when local population densities increased, implying that the difference in forest loss between protected and non-protected areas disappears at high local population densities. To check scale-dependency of spatial extent, we repeated the modelling process for two landscape subsets within Western Ghats. In contrast with results for the entire Western Ghats, both focal landscapes showed no difference in deforestation with protection status alone or its interactions with village population density and distance to towns. However, deforestation was 88% lower when forests were protected and farther from roads. Overall, our results indicate that protected areas help retain forest cover within a global Biodiversity Hotspot even with rapid development, but high human population densities and road development can reduce the benefits of protection

    Collateral damage: impacts of ethno-civil strife on biodiversity and natural resource use near Indian nature reserves

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    Civil conflicts often affect the control of natural resources, altering their access and use. Using a combination of questionnaires, remote sensing, and a review of articles in the popular print media, we investigated the impact of a protracted armed conflict on forest loss, livelihoods, and forest use near two globally important tiger reserves in northeastern India. Over a 23 year period, we found evidence of large-scale forest loss in the vicinity of Nameri and Pakke Tiger Reserves. Nearly all (99 %) interviewees opined that the ethno-civil strife was to blame for declining forest cover. Most interviewees identified 1990 as the year of onset of strife-mediated deforestation. This is partially supported by a review of print-media articles that reported conflict, violence, displacement, and the onset of large-scale migration in the previous year. According to respondents, ethno-civil strife has radically altered access to, and use of forests, by resident communities (causing economic hardship, increased costs, and reduced availability of essential timber products), and has also accelerated forest loss and increased poaching. We conclude that forests and wildlife in these protected areas are at immediate risk from ethno-civil strife. Urgent interventions are needed to reduce the environmental and societal impacts of civil strife in this biologically crucial region of India

    Post-lockdown spread of COVID-19 from cities to vulnerable forest-fringe villages in central India

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    Background: Seasonal migration of young adult males to cities is a common livelihood strategy for forest-fringe households in central India. With poor health infrastructure, low nutritional status, and high proportions of Scheduled Tribe populations, these households and surrounding villages are highly vulnerable to COVID-19 exposure as seasonal migrants return home. Objective: We identify patterns of seasonal migration in forest-fringe villages of central India, including proportions of households with migrants, their locations, and destination cities, to assess the vulnerability of village populations to COVID-19 exposure from returning migrants. We also compare effectiveness of varying physical distancing strategies to reduce the likelihood of spread between villages after the initial lockdown restrictions lift. Methods: We analyze origins and destinations of seasonal migrants over the last five years from a previously-collected, primary household survey of 5000 households across 500 forest-fringe villages in central India. Based on a median-sized village, we use an SEIR (susceptible, exposed, infectious, recovered) compartmental model to conceptually compare disease spread with varying leniency of movement restrictions within and between adjacent villages as restrictions ease after the lockdown. Results and implications: Villages with seasonal workers are widely dispersed across forest-fringe areas in central India, indicating the vulnerability of these populations to exposure and the need for widespread testing and health facilities. All 32 districts, approximately 75% of surveyed villages, and 18% of households had at least one seasonal migrant living in a city for part of the year during the last five years. 81% of the destination cities had reported COVID-19 cases at the beginning of the lockdown. As authorities ease movement restrictions after the lockdown period, lenient restrictions for people within a village combined with maximal restrictions between villages could be more effective in reducing the number of people exposed compared with moderate restrictions both within and between villages
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