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    Fruiting Africa Baseline Survey - Tools and Datasets

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    Fruiting Africa Baseline Survey - Tools and Dataset

    Replication data for: Aboveground carbon stocks in oil palm plantations and the threshold for carbon-neutral vegetation conversion on mineral soils

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    The carbon (C) footprint of palm-oil production is needed to judge emissions from potential biofuel use. Relevance includes wider sustainable palm oil debates. Within life cycle analysis, aboveground C debt is incurred if the vegetation replaced had a higher C stock than oil palm plantations. Our study included 25 plantations across Indonesia, in a stratified study design representing the range of conditions in which oil palm is grown. From allometric equations for palm biomass and observed growth rates, we estimated the time-averaged aboveground C stock for 25-year rotations and 95%-confidence intervals to be 42.07 (42.04-42.10) Mg C ha-1 for plantations managed by company on mineral soil, 40.03 (39.75-40.30) Mg C ha-1 for plantations managed by company on peat, and 37.76 (37.42-38.09) Mg C ha-1 for smallholder oil palm on mineral soils. Oil palm can be established C debt-free on mineral soils with aboveground C stocks below these values; neutrality of mineral soil C pools was documented in a parallel study. Acknowledging variation in shoot:root ratios, the types of vegetation that can be converted debt-free to oil palm include grasslands and shrub, but not monocultural rubber plantations, rubber agroforest, and similar secondary or logged-over forests of higher C stock

    KUES Household Baseline Survey

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    Mau Forest Village Level Baseline

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    This study consists of village level baseline data and other related materials generated as part of the ‘Sentinel Landscapes’ initiative. The village level baseline data was collected using four survey protocols designed by the International Forest Resources and Institutions (IFRI). The data collected is used to understand the relationship between communities, local governance and forests. Four IFRI protocols were used for this purpose: (i) Forest Form (ii) Settlement Form (iii) Association Form and (iv) Product Form. The instruments facilitate the collection of political and institutional data at communal level for those communities that use those forests. A total of 10 villages were surveyed between August and September months of 2015 namely: Kapkeronjo, Kimugul, Nyoigeno North, Kaboisio, Kiptenden, Mongokwo A, Kapcheptuenik, Kapsinendet, Kimuita, Kondamet

    Replication Data for: A systematic analysis of enabling conditions for synergy between climate change mitigation and adaptation measures in developing countries

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    There is a growing quest for synergy between mitigation and adaptation due to concerns of inefficiency and ineffectiveness of the compartmentalized approaches to climate change. However, little has been done to explore the necessary enabling conditions for synergistic design and implementation. This paper proposes an analytical framework to assess enabling conditions for synergies at the national level and applies it to developing countries to explore the potential move toward synergy. Four enabling conditions for integrating adaptation and mitigation, i.e. policies and strategies, programs and projects, institutional arrangements and financial mechanisms, were used to score developing countries relative to each other. We hypothesized that low income and vulnerable countries might more likely pursue synergy given the urgency for both adaptation and mitigation. Despite the relative infancy of the synergy concept, about half of countries studied exhibited good synergy potential, 80% of which were middle-income developing countries. The assumption of vulnerability as a precursor for pursuing synergy was supported by the fact that small island states possessed relatively high synergy potential. Income was weakly associated with the synergy potential with least developed countries having low synergy scores. Emerging economies possessed strong synergy potential which might be associated with better capacity available and/or potential for shaping their global images due to their growing emissions. In sum, the proposed analytical framework could be useful to identify areas of emphasis to promote holistic and efficient climate policies. As this study largely focused on the enabling conditions, further studies are needed to scrutinize and manage the mitigation-adaptation balances in countries possessing good synergy potential

    Farm inventory surveys in Rwanda: Computed data files

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    Computed data files from data collected during farm inventory surveys in Rwand

    Trees for food security- phase one total beneficiaries reached in Ethiopia, Rwanda, Uganda and Burundi

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    This is a compilation of total community members reached through the various project activities and initiatives. At the end of the project, 30,507 beneficiaries had been reached in Ethiopia, Rwanda, Uganda and Burund

    Raw data for net income from bee-keeping in Lamu County, Kenya

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    The Intergovernmental Authority on Development (IGAD) in its programme on biodiversity conservation partnered with the World Agroforestry Centre (ICRAF) to implement biodiversity-based interventions along the Kenya-Somalia border. Investing in Honey Value Chains (HVC) for rural communities to conserve biodiversity was one of the key interventions for the programme. ICRAF commissioned a baseline survey in Witu and Awer (Lamu County) to collect information on variables such as the price of honey per litre, the total income from sale of honey per year, the number of women currently practicing beekeeping, level of education of beekeepers and different beekeeping practices. The survey targeted villages surrounding conservation areas of Boni, Dodori and Witu forests in Lamu County, Kenya

    Somaliland Food Trees Project Farm Data

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    Farm Dat

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