44 research outputs found

    Beyond Win-Wins: Understanding diverse impacts of complex protected area governance arrangements on human wellbeing and conservation in tropical forests

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    The role of protected areas has expanded from focusing on nature conservation, to also include human wellbeing and equitable governance objectives. Some contend that these objectives are mutually supporting, with ‘win-win’ outcomes possible for people and nature. However others consider these objectives to be competing, necessitating trade-offs. In response to the expanding remit of protected areas, complex governance arrangements have evolved. Yet understanding of how novel governance arrangements impact multiple objectives remains limited. In this PhD I aimed to evaluate how innovations in protected area governance have led to complex impacts on human wellbeing and conservation. The main contributions were first, to develop a generalised methodology for measuring human wellbeing in the context of development and conservation projects. The Wellbeing Indicator Selection Protocol provides a step-by-step guide to developing context-specific wellbeing indicators based on local perspectives and aligned with established wellbeing theory through the integration of quantitative and qualitative approaches. Second, I assessed the impact of community forests combined with forest certification in Tanzania as an example of recent innovations in protected area governance seeking to achieve win-wins. I found that certified community forests positively impacted wellbeing, conservation effectiveness and reduced gender inequality, though did not reduce elite capture. Finally, I undertook an in-depth analysis of the pathways by which certified community forests impact human wellbeing, governance effectiveness and forest restoration. I identified positive interacting pathways between certified community forests, equitable governance and wellbeing, though also trade-offs between conservation and agriculture. By integrating the contrasting perspectives of different actors and research methods, this thesis has contributed to advancing understanding of protected area governance and a shift away from the panacea of win-win solutions, towards a more in-depth understanding of what works where, for whom and why

    Measuring human wellbeing: A protocol for selecting local indicators

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    Improving human wellbeing is a major focus of international environmental and sustainable development policy. However, clearly defined measures of wellbeing are needed as an empirical base for the formulation and evaluation of policies. Despite conceptual progress towards agreement of universally relevant dimensions of wellbeing, consensus is still lacking on how to translate these dimensions into locally appropriate indicators to measure wellbeing in different contexts. This paper focuses on three interrelated challenges associated with this knowledge gap: (1) navigating trade-offs between complexity versus simplicity of concept; (2) integrating top-down and bottom-up perspectives; (3) ensuring a cost-effective and flexible approach suitable for different policy contexts. We contribute to filling this gap by developing a step-by-step Wellbeing Indicator Selection Protocol (WISP) for measuring wellbeing. The protocol integrates perspectives through an interdisciplinary mixed methods design that includes cross-validation between quantitative approaches of redundancy analysis and statistical modelling and qualitative approaches of focus groups and thematic analysis. In this way we promote a pragmatic approach suitable for a range of social and environmental contexts. We tested WISP in rural Tanzania, identifying 111 candidate wellbeing indicators. This list was simplified to a subset of 19 indicators that retained 91 % of measured variation among all wellbeing indicators. The simplified list was representative of both a multidimensional concept of wellbeing and the diversity of opinions sampled. We conclude that the protocol provides practical, statistically validated guidance to support the design of wellbeing assessments, maintaining coherence between universal theory and local realities

    Examining the impact of forest protection status on firewood sufficiency in rural Africa

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    Millions of people living in poverty depend on non-timber forest products (NTFPs), yet forest protection causes displacement, replacement or reduction of NTFP extraction activities, with implications for human welfare. Here, we assess the impact of forest protection on a novel measure of wellbeing that incorporates both objective and subjective components of people's lives. In five villages near forests with mixed protection status in Tanzania, household perceived need for firewood is compared with actual consumption in order to provide a simple metric of firewood sufficiency. Firewood sufficiency varied with forest protection status, with non-compliance inferred by household ability to meet firewood needs despite forest access restrictions. Fuel-efficient stove ownership improved the perceived ability to meet firewood needs; however, actual consumption remained unchanged. Firewood sufficiency was significantly lower for those sourcing firewood outside forests, and increased household awareness of the management authority significantly reduced firewood consumption. In a forest landscape of mixed protection status, pressure will likely be displaced to the forest with the least active management authority, affecting their efficiency as non-extractive reserves. Our findings reinforce the need for a landscape approach to forest management planning that accounts for local needs, to avoid leakage to other less well-protected forests and detriment to household welfare

    A framework to assess forest-agricultural landscape management for socioecological well-being outcomes

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    Global demand for agricultural products continues to grow. However, efforts to boost productivity exacerbate existing pressures on nature, both on farms and in the wider landscape. There is widespread appreciation of the critical need to achieve balance between biodiversity and human well-being in rural tropical crop production landscapes, that are essential for livelihoods and food security. There is limited empirical evidence of the interrelationships between natural capital, the benefits and costs of nature and its management, and food security in agricultural landscapes. Agroforestry practices are frequently framed as win-win solutions to reconcile the provision of ecosystem services important to farmers (i.e., maintaining soil quality, supporting pollinator, and pest control species) with nature conservation. Yet, underlying trade-offs (including ecosystem disservices linked to pest species or human-wildlife conflicts) and synergies (e.g., impact of ecosystem service provision on human well-being) are seldom analysed together at the landscape scale. Here, we propose a systems model framework to analyse the complex pathways, with which natural capital on and around farms interacts with human well-being, in a spatially explicit manner. To illustrate the potential application of the framework, we apply it to a biodiversity and well-being priority landscape in the Southern Agricultural Growth Corridor of Tanzania, a public-private partnership for increasing production of cash and food crops. Our framework integrates three main dimensions: biodiversity (using tree cover and wildlife as key indicators), food security through crop yield and crop health, and climate change adaptation through microclimate buffering of trees. The system model can be applied to analyse forest-agricultural landscapes as socio-ecological systems that retain the capacity to adapt in the face of change in ways that continue to support human well-being. It is based on metrics and pathways that can be quantified and parameterised, providing a tool for monitoring multiple outcomes from management of forest-agricultural landscapes. This bottom-up approach shifts emphasis from global prioritisation and optimisation modelling frameworks, based on biophysical properties, to local socio-economic contexts relevant in biodiversity-food production interactions across large parts of the rural tropics.Agrisys Tanzania project was funded through BBSRC Global Challenges Research Fund.https://www.frontiersin.org/journals/forests-and-global-changedm2022Zoology and Entomolog

    The role of Indigenous peoples and local communities in effective and equitable conservation

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    Debate about what proportion of the Earth to protect often overshadows the question of how nature should be conserved and by whom. We present a systematic review and narrative synthesis of 169 publications investigating how different forms of governance influence conservation outcomes, paying particular attention to the role played by Indigenous peoples and local communities. We find a stark contrast between the outcomes produced by externally controlled conservation, and those produced by locally controlled efforts. Crucially, most studies presenting positive outcomes for both well-being and conservation come from cases where Indigenous peoples and local communities play a central role, such as when they have substantial influence over decision making or when local institutions regulating tenure form a recognized part of governance. In contrast, when interventions are controlled by external organizations and involve strategies to change local practices and supersede customary institutions, they tend to result in relatively ineffective conservation at the same time as producing negative social outcomes. Our findings suggest that equitable conservation, which empowers and supports the environmental stewardship of Indigenous peoples and local communities represents the primary pathway to effective long-term conservation of biodiversity, particularly when upheld in wider law and policy. Whether for protected areas in biodiversity hotspots or restoration of highly modified ecosystems, whether involving highly traditional or diverse and dynamic local communities, conservation can become more effective through an increased focus on governance type and quality, and fostering solutions that reinforce the role, capacity, and rights of Indigenous peoples and local communities. We detail how to enact progressive governance transitions through recommendations for conservation policy, with immediate relevance for how to achieve the next decade’s conservation targets under the UN Convention on Biological Diversity

    Beware of glenoid dysplasia mimicking bone trauma in the injured shoulder

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    The term 'primary glenoid dysplasia' is used to describe a rare developmental abnormality of the shoulder. The symptomatic presentation of glenoid dysplasia has two definite age-related peaks. The first peak is in adolescents and young adults; they generally present with symptoms of instability related to high levels of activity. The second is in the fifth or sixth decade when presumed degenerative changes occur in the gleno-humeral joint. It can crop up as an incidental finding, during chest X-ray, for example, or may present as marked upper limb disability

    Simultaneous-count models to estimate abundance from counts of unmarked individuals with imperfect detection

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    We developed a method to estimate population abundance from simultaneous counts of unmarked individuals over multiple sites. We considered that at each sampling occasion, individuals in a population could be detected at 1 of the survey sites or remain undetected and used either multinomial or binomial simultaneous-count models to estimate abundance, the latter being equivalent to an N-mixture model with one site. We tested model performance with simulations over a range of detection probabilities, population sizes, growth rates, number of years, sampling occasions, and sites. We then applied our method to 3 critically endangered vulture species in Cambodia to demonstrate the real-world applicability of the model and to provide the first abundance estimates for these species in Cambodia. Our new approach works best when existing methods are expected to perform poorly (i.e., few sites and large variation in abundance among sites) and if individuals may move among sites between sampling occasions. The approach performed better when there were >8 sampling occasions and net probability of detection was high (>0.5). We believe our approach will be useful in particular for simultaneous surveys at aggregation sites, such as roosts. The method complements existing approaches for estimating abundance of unmarked individuals and is the first method designed specifically for simultaneous counts
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