5 research outputs found
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Social and ecological insights across landscape, community, and household scales: Forest health, governance, and livelihoods in central India
Forests are embedded in diverse forest governance, resource use, and resource user settings which are linked as components of social-ecological systems. This dissertation examines forest health at a landscape scale, governance at a community scale, and livelihoods at a household scale within a social ecological system; I develop a measure of forest health, the Bare Ground Index, derived from satellite imagery and combine this with socioeconomic data to examine relationships between forest health and forest governance and livelihoods across central India. This body of work has identified livelihood and governance approaches that provide social benefits and maintain healthy forests in central India, a landscape with globally important biodiversity and socially and historically marginalized people. This context is reflected in additional human-dominated landscapes where identifying sustainable development solutions that provide social and environmental benefits is a priority.
As forests are lost, gained, and degraded around the world, satellite data has been a powerful tool in collecting estimates of forest cover change but less widely adopted to measure forest degradation, largely due to challenges in common interpretations of operational measures. In chapter 1, coauthors and I develop landscape-scale land cover and forest health datasets for central India. First, we identified land cover, including tree cover and bare ground, from Planet Labs Very High-Resolution satellite data using a Random Forest classifier, resulting in a 3-meter (m) thematic map with 83.00% overall accuracy. Second, we operationalize a measure of forest health and derived the Bare Ground Index (BGI), a normalized index that is a ratio of bare ground to tree cover at 90 m resolution. The BGI was mapped across forest (>10% tree cover). Although open areas occur naturally throughout the tropical dry forest of central India, results from field data indicated that the BGI served as a proxy for measuring the intensity of cattle presence in a landscape where grazing has changed forest composition. The BGI was developed as an indicator of forest health and now serves as a baseline to monitor future changes to a tropical dry forest landscape at an unprecedented spatial scale.
In chapter 2, coauthors and I integrated the BGI with socioeconomic data from surveys to households and locally elected leaders to assess forest health and governance patterns across 238 villages at the community-scale. We experimentally selected 80 total villages as treatment and control groups and used this dataset in various statistical analyses to assess the extent of exposed bare ground within forests around villages with and without local institutions involved in making decisions about the forest. Forest had less bare ground within forest where there was a local institution compared to villages without an institution at 3 and 5 kilometers (kms), distances that households traveled from the village to graze cattle or collect Non-Timber Forest Products, firewood, and fodder. Having a local forest institution was more strongly associated with bare ground within forest at 3 and 5 kms than measures of local forest use. In villages with institutions, the authority to modify rules about forest use was relatively more important than the length of time the institution had been established for bare ground within forest. Establishing formal institutions with authority over forest management is important to promote forest cover around forest-dependent communities but it is necessary to ensure that forest governance does not worsen existing socioeconomic disparities. Bare ground within forests near and far (1 and 10 kms) villages was not different in places with and without formal local institutions and was most strongly associated with local forest uses. Both formal forest institutions and forest uses like collecting firewood for cooking or wood for construction material impact forests in central India.
In my third and final chapter, coauthors and I examined firewood collection patterns and the adoption of Liquified Petroleum Gas (LPG) using surveys from 4,994 households in central India. Firewood collection is pervasive across central India’s rural communities and mainly used for cooking or heating. We adopted an energy justice approach, which emphasizes questions about who does and does not have access to alternative cooking fuels, because historically marginalized groups comprise a significant portion of central India’s total population. It was important to integrate social justice issues in a system where resource users experience multiple disparities, such as high levels of poverty. We found that despite overall growth in LPG use, disparities in access to clean cooking fuels remained and the probability of cooking with LPG was lowest for socially and historically marginalized households (i.e., Scheduled Tribe, Scheduled Caste, and Other Backward Caste). While 90% of LPG-using households continued to use firewood, households that have owned LPG for more years spent less time collecting firewood, indicating a waning reliance on firewood over time. This study found evidence that policies targeting communities with marginalized social groups living near forests can further accelerate LPG adoption and displace firewood use.
My thesis examined components of a social ecological system at landscape, community, and household scales. I integrated insights from across social and ecological disciplines to identify strategies for sustainable development in central India. First, I developed an operational measure of forest health. Following chapters identified characteristics of governance and livelihood interventions that present potential pathways towards achieving benefits for conservation and people. Environmental and development goals should be harmonized so that the central Indian landscape can continue to support biodiversity and people. My approach can be replicated across additional social ecological systems by linking a landscape-scale resource condition to community governance and household socioeconomic patterns
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Land cover and forest health indicator datasets for central India using very-high resolution satellite data
Satellite imagery has been used to provide global and regional estimates of forest cover. Despite increased availability and accessibility of satellite data, approaches for detecting forest degradation have been limited. We produce a very-high resolution 3-meter (m) land cover dataset and develop a normalized index, the Bare Ground Index (BGI), to detect and map exposed bare ground within forests at 90 m resolution in central India. Tree cover and bare ground was identified from Planet Labs Very High-Resolution satellite data using a Random Forest classifier, resulting in a thematic land cover map with 83.00% overall accuracy (95% confidence interval: 61.25%–90.29%). The BGI is a ratio of bare ground to tree cover and was derived by aggregating the land cover. Results from field data indicate that the BGI serves as a proxy for intensity of forest use although open areas occur naturally. The BGI is an indicator of forest health and a baseline to monitor future changes to a tropical dry forest landscape at an unprecedented spatial scale
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Using passive acoustic monitoring to examine the impacts of ecological restoration on faunal biodiversity in the Western Ghats
Monitoring programs aimed at assessing ecological restoration have often relied on the response of a single taxon owing to the difficulty of sampling multiple taxonomic groups simultaneously. Using passive acoustic monitoring, we examined the impacts of ecological restoration on all vocalizing fauna simultaneously as well as a single indicator taxon, birds. In our study, acoustic recorders were programmed to collect data along a gradient of forest regeneration consisting of actively restored (AR), naturally regenerating (NR), and mature benchmark (BM) sites in a tropical biodiversity hotspot, the Western Ghats of southern India. For all vocalizing fauna, we calculated acoustic space use, a measure that reflects the amount and pattern of sounds within each frequency bin for a given time period. AR and NR sites were not significantly different from each other, and visual examination of the acoustic space showed a lack of sounds between 12 kHz to 24 kHz for AR and NR sites, suggesting limited insect activity. When we considered the response of birds alone (from manually annotated acoustic data), we found significant differences in the proportion of detections of rainforest bird species compared to open-country bird species across all treatment types, with the highest proportion reported in BM sites (mean ± SD: 0.97 ± 0.04), followed by AR sites (0.81 ± 0.12) and NR sites (0.71 ± 0.17). Considering the varied response of different taxa to habitat recovery over two decades, we highlight the need to take a multi-taxon approach while assessing restoration programs. We show that it is now possible to do so in tropical forests using passive acoustic monitoring
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Listening for change: quantifying the impact of ecological restoration on soundscapes in a tropical dry forest
Ecological restoration is crucial to mitigate climate change and conserve biodiversity, and accurately monitoring responses to restoration is imperative to guide current and future efforts. This study examines the impact of ecological restoration of a tropical dry forest in Central India. Here, the state forest department and a nongovernmental organization work with local communities to remove an invasive shrub, Lantana camara, in the forest, to assist natural regeneration, primarily for the purpose of improving access to forest resources for forest-dependent people. We used acoustic technology to examine the bird community composition and the acoustic space used (ASU) across comparable restored, unrestored (with L. camara), and naturally low L. camara density (LLD) sites. We found no significant difference in the cumulative number of bird species detected between the site types (median in restored and LLD = 38, unrestored = 41). We found a significant difference in bird community composition across sites (r2 = 0.049, p ≤ 0.001). ASU differs between site types (r2 = 0.023, p ≤ 0.10), with restored sites positively associated with ASU compared to unrestored and LLD sites, which could represent a temporary increase in ASU as animal communities are reorganized after the complete removal of L. camara. Our results suggest that small-scale restoration efforts that aim to help meet livelihood needs have the potential to contribute to ecological goals in this landscape. However, it is necessary to continue to monitor the regeneration trajectory in restored sites and the possible changes in the ASU
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Improved household living standards can restore dry tropical forests
Despite multiple approaches over the last several decades to harmonize conservation and development goals in the tropics, forest-dependent households remain the poorest in the world. Durable housing and alternatives to fuelwood for cooking are critical needs to reduce multi-dimensional poverty. These improvements also potentially reduce pressure on forests and alleviate forest degradation. We test this possibility in dry tropical forests of the Central Indian Highlands where tribal and other marginalized populations rely on forests for energy, construction materials, and other livelihood needs. Based on a remotely sensed measure of forest degradation and a 5000 household survey of forest use, we use machine learning (causal forests) and other statistical methods to quantify treatment effects of two improved living standards—alternatives to fuelwood for cooking and non-forest-based housing material—on forest degradation in 1, 2, and 5 km buffers around 500 villages. Both improved living standards had significant treatment effects (−0.030 ± 0.078, −0.030 ± 0.023, 95% CI), respectively, with negative values indicating less forest degradation, within 1 km buffers around villages. Treatment effects were lower with increasing distance from villages. Results suggest that improved living standards can both reduce forest degradation and alleviate poverty. Forest restoration efforts can target improved living standards for local communities without conflicts over land tenure or taking land out of production to plant trees