Dataverse World Agroforestry (ICRAF)
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Land and Soil Health Assessment in the Western Amazon Sentinel Landscape
The LDSF was carried out at three-100 km2 sites within the Western Amazon Sentinel Landscape. Madre de Dios and Ucayali in Peru, and Pando in Bolivia. Field teams were trained by Norvin Sepulveda (CATIE, Nicaragua- Honduras SL) and Noel Ulloa in August 2014. Field surveys were completed in July 2015.
The LDSF is a spatially stratified, randomized sampling design, developed to provide a biophysical baseline at landscape level and a monitoring and evaluation framework for assessing processes of land degradation and effectiveness of rehabilitation measures over time.
Measured variables include: land cover, tree and shrub densities, tree biodiversity, erosion prevalence, infiltration capacity, along with an assessment of impact to habitat and occurrence of soil conservation structures. Soil samples were also collected (320 top (0-20 cm) and sub (20-50 cm) soil samples per site) and were processed in Managua. Processed samples were shipped to Nairobi and subjected to infrared spectroscopy and wet chemistry analysis. These combined data sets will be used to assess soil and ecosystem health for the landscape in more detail
Nicaragua-Honduras Calculated Village Indicators
Calculated village level indicators for the FGD data collected in Nicaragua Honduras SL
Replication Data for: System wide impacts of fuel usage patterns in the Ethiopian highlands: Potentials for breaking the negative reinforcing feedback cycles
Due to scarcity of firewood, farmers in rural Ethiopia are forced to use cattle dung as a complementary energy source. By looking at patterns of firewood and cattle dung use for energy generation and their implications for food crop production, forest regeneration and community level emission reduction potentials, this study explores system interactions using a community living next to the Menagesha Suba state forest in Ethiopia as a case study. Mixed methods were used including household surveys, nutrient content analyses of firewood and cattle dung, and calculations of fuel and emission reductions for four cooking energy efficiency scenarios. It was found that the community and surrounding environment is stuck in a negative feedback cycle. Therefore shifts in current practices and systems are needed to break this cycle, for example by enhancing firewood supply, improving soil fertility, improving energy efficiency and enabling access to carbon financing for emissions reduced
Replication Data for: Assessing Land Restoration Potential in Semi-arid Lands of Laikipia, Kenya
These data were used in the quantitative assessment and mapping of land restoration potential in Laikipia, Kenya
Tools for Data Collection in Uganda for Agro-BioDiversity Project
ODK Tools XLS Forms for Data Collection in Uganda: Household Farm Data, Nutrition and Consumption Dat
Building Biocarbon and Rural Development in West Africa (BIODEV), WP1.4
The Building Biocarbon and Rural Development in West Africa Programme aims to demonstrate the multiple developmental and environmental wins that result from a high value biocarbon approach to climate change and variability in large landscapes principally in Mali, Sierra Leone and Guinea. The Programme will also build local institutions and capacity to be able to sustain the benefits in the sites and will establish linkages with related initiatives to jointly build national and regional capacity to scale up the approaches into other programmes and projects. The themes of the Programme are very closely linked to Finland's international development priorities and are closely aligned with the priorities expressed in its national poverty reduction and climate change adaptation strategies. Furthermore, the Programme aims to generate critical information that can fill the global knowledge gaps on how to better link climate change mitigation and adaptation thrusts and how to make these actions work effectively to enhance the livelihoods of rural communities. (2015
Replication Data for: Natural forests maintain a greater soil microbial diversity than that in rubber plantations in Southwest China
The conversion of tropical forests to monoculture rubber plantations throughout Southeast Asia threatens to have widespread negative impacts on ecosystem services. The aim of this study was to identify the impacts of forest conversion to rubber plantations on soil microorganisms, using a space for time substitution design. Soil
microbial communities from natural forests, young rubber and mature rubber plantations were investigated using phospholipid fatty acid (PLFA) analysis. Microbial PLFA biomass of all functional groups including actinomycete, arbuscular mycorrhiza, fungi, bacteria and protozoa was lower in rubber plantations as compared to natural forests. This was true for young rubber and mature rubber plantations tested in both dry and wet seasons. The composition of microbial communities differed between natural forests, young rubber and mature rubber plantations. Changes in microbial community composition were strongly correlated with pH, which was lower in mature rubber plantations than in natural forests and young rubber plantations. In addition, our results showed that the variation in soil microbial community composition was strongly affected by seasonality, with higher PLFA biomass recorded in the dry season than in the wet season. The low soil microbial biomass in rubber plantations has long term implications regarding the soil health of rubber plantations
Food Trees Project Endline Raw Farm Data
Raw Endline Data for the Food Trees Project: Socioeconomic data, food production data and food tree diversity and richness dat
R Scripts: Ag Biodiversity Farm Data for Uganda and Ethiopia
R Scripts used to clean, transform, wrangle farm data for Ag Biodiversity Project in Uganda and Ethiopi
Biophysical Soil and Land Health Assessment in the Gambia
The Land Degradation Surveillance Framework (LDSF) survey was a collaborative effort among a number of national universities, government technical services, national soil and forestry departments, research institutions and soil laboratories. Field teams spent about five weeks in the field observing vegetation conditions, land use, and visible erosion and taking soil samples. Soil samples were analyzed for a suite of physical and chemical properties. Analyses of these data were designed to provide an understanding of the landscape status based on easily discernible characteristics, particularly by site. The analysis also provides spatially explicit analysis of these findings as digital maps that can be used to provide very site-specific information on the health of soil and vegetation throughout the three LDSF sites. The aim was to provide some generalizable key problems and straightforward management recommendations. The field surveys took place in February 2021, with three field team working simultaneously. These surveys were led by the ICRAF team in Gambia in collaboration with the soil and forestry departments. The LDSF field training and data collection was led by ICRAF national team in Gambia, while the soil and forest departments of Gambia provided logistics support during the field work and data collection. This activity was conducted by World Agroforestry (ICRAF) as an output of the project, ‘Large-Scale Ecosystem-Based Adaptation in The Gambia River Basin: Developing a Climate Resilient, Natural Resource-Based Economy’. The project is funded by the Green Climate Fund and implemented by the Government of The Gambia with the support of United Nations Environment Programme (UNEP). In total, 474 plots of 1000 m2 were sampled: 160 plots in Changai, 158 plots in Dumboto and 156 plots in Gambisarra