Dataverse World Agroforestry (ICRAF)
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Replication Data for: Climate modelling for agroforestry species selection in Yunnan Province, China
No full textIndigenous agroforestry systems have been practiced for centuries in the Himalaya Mountains and adjoining regions. With the increase of climate change associated risks, enhanced understanding of the impact of climate change and related phenomena on the potential distribution of agroforestry is increasingly useful and necessary, for both
maintaining and improving yield and ecosystem function. In particular, increased understanding of these issues is crucial to identify both “how” and “where” efficient and
systematic response mechanisms can be developed in advance to provide an array of adaptation options. Choosing the appropriate tree crop for current and future suitable
location is a first important step and primary aspect in developing agroforestry systems that would meet regional needs for adaptation, mitigation, and ecological restoration
Replication Data for: Predicting the impact of climate change on the distribution of two threatened Himalayan medicinal plants of Liliaceae in Nepal
No full textPredicting the potential distribution of medicinal plants in response to climate change is
essential for their conservation and management. Contributing to the management program, this study aimed to predict the distribution of two threatened medicinal plants, Fritillaria cirrhosa and Lilium nepalense. The location of focal species gathered from herbarium specimen housed in different herbaria and online databases were geo-referenced and checked for spatial autocorrelation. The predictive environmental variables were selected, and MaxEnt software was used to model the current and future distributions of focal species. Four Representative Concentration Pathway (RCP) trajectories of the BCC-CSM1.1 model were used as the future (2050) projection layer. The MaxEnt modelling delineated the potential distribution of F. cirrhosa and L. nepalense. The current suitability is projected towards Central and Eastern Hilly/Mountainous regions. Both species gain maximum suitability in RCP 4.5 which decline towards other trajectories for L. nepalense. Overall, both the focal species shift towards the north-west, losing their potential habitat in hilly and lower mountainous regions by 2050 across all trajectories. Our results highlight the impact of future climate
change on two threatened and valuable species. The results can be further useful to initiate farming of these medicinally and economically important species based on climatically suitable zone and for designing a germplasm conservation strategy
Replication Data for: Propagation of Native Tree Species to Restore Subtropical Evergreen Broad-Leaved Forests in SW China
No full textSubtropical evergreen broad-leaved forest (EBLF) is a widespread vegetation type throughout East Asia that has suffered extensive deforestation and fragmentation. Selection and successful propagation of native tree species are important for improving ecological restoration of these forests. We carried out a series of experiments to study the propagation requirements of indigenous subtropical tree species in Southwest China. Seeds of 21 tree species collected from the natural forest were materials for the experiment. This paper examines the seed germination and seedling growth performance of these species in a nursery environment. Germination percentages ranged from 41% to 96% and were ≥50% for 19 species. The median length of germination time (MLG) ranged from 24 days for Padus wilsonii to 144 days for Ilex polyneura. Fifteen species can reach the transplant size (≥15 cm in height) within 12 months of seed collection. Nursery-grown seedlings for each species were planted in degraded site. Two years after planting, the seedling survival rate was >50% in 18 species and >80% in 12 species. Based on these results, 17 species were recommended as appropriate species for nursery production in forest restoration projects. Our study contributes additional knowledge regarding the propagation techniques for various native subtropical tree species in nurseries for forest restoration
Replication Data for: Transforming climate science into usable services: The effectiveness of co-production in promoting uptake of climate information by smallholder farmers in Senegal
No full textDoes the provision of weather and climate information services (WCIS) enhance farmer’s use of forecasts in informing farm decisions? This paper assesses the effectiveness of the Multi-disciplinary Working Group (MWG) – a WCIS co-production initiative in Senegal in influencing farmers uptake of weather and climate information (WCI). WCIS are increasingly gaining importance and widely touted as critical in helping farmers adapt to climate variability. While there have been various WCIS initiatives producing and translating climate data into tailored information and knowledge in different parts of the world, there is hardly any rigorous evidence assessing their effectiveness in improving uptake. In this assessment, we use innovative survey methods and apply rigorous analytical approaches that control for self-selection bias to establish causal linkages between the MWG and use of WCIS. Our findings indicate that MWGs are positively associated with farmers’ awareness, access and uptake of WCI resulting in farm management responses depending on the type of information used. The presence of MWGs generally increases farmer’s awareness of WCI by 18%, access by 12% and uptake by 10%. Furthermore, use of seasonal forecasts is generally associated with a higher proportion of farmers using improved seed, fertilizers and manure, but negatively with crop diversification within MWG locations. This suggests that participatory approaches in the provision of tailored climate information and advisory services can lead to higher uptake and use among farmers in informing farm management responses for better adaptation to climate change. We highlight lessons for improved evaluations of WCIS in future
Maize yield 2015_2016 short rains
No full textMaize productivity was measured adjacent and away from tree rows to determine influence of trees on crop productivit
Farm-level production and use of biochar in Kenya-energy security, biochar quality and climate change mitigation potential
No full textFarm-level production and use of biochar in Kenya-energy security, biochar quality, improved agriculture and climate change mitigation potentia
Mau Forest Household baseline
No full textThis study consists of sex-disaggregated data and other related materials generated as part of the Sentinel Landscapes Network household survey baseline in Nile-Congo sentinel site in Kenya. A total of 300 households were surveyed in 2015 from 10 villages namely: Kapkeronjo, Kimugul, Nyoigeno North, Kaboisio, Kiptenden, Mongokwo A, Kapcheptuenik, Kapsinendet, Kimuita, Kondamet. The data consists of information on household demographics, migration, education, asset ownership, income sources, household food security, progress out of poverty, crop production and sales, livestock products, participation in credit markets, social networks, and natural resource use. In compliance with the CGIAR protocol on collecting sex-disaggregated data, approximately 50% of the respondents interviewed were women. Before downloading any of the files, particularly the data files, please download and read the ’Sentinel Landscapes Network Disclaimer and Terms of Use’ file
Land and Soil Health Assessment in the Mekong Sentinel Landscape
No full textThe LDSF was carried out at two-100 km2 sites within the Mekong Sentinel Landscape. Manlaxiang site in China and the Mbeng site in Laos. Field teams were trained by Tor Vågen and Leigh Winowiecki in May 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 and analyzed in China. These combined data sets will be used to assess soil and ecosystem health for the landscape in more detail
Planilha de análise financeira de sistemas agroflorestais. Opções de SAFs para o Pipiripau, Distrito Federal, Brasil.
No full textPlanilha de avaliação financeira de sistemas agroflorestais com base no planejamento com os agricultores da região do Pipiripau, Distrito Federal, Brasil. Realizado em parceria com a associação de agricultores agroecológicos - APROSPERA e o Instituto Salvia ISSA. Inclui indicadores financeiros com Taxa de Retorno do Investimento, Payback, Benefício Custo. Os dados foram gerados no projeto KNOWFOR fase 2 em parceria com IUCN e recursos DFID