Dataverse World Agroforestry (ICRAF)
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Western Ghats Village Level Baseline
No full textThis 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 62 villages were surveyed between July & September 2014 and April - July 2015 namely: Bellatha, Buthani, Dasanahundi, Hondarabalu, K.Devarahalli, Kuntugudi, Malladevanahallu, Shanivaramunti, Vodagere, Yerakanagadde Colony, Avandur, Benguru, Bettageri Bakka, Bettathur, Kaloor, Kolagadalu Paka, Kopatti, Kuranabane, Kuyyangeri, Vanachala, Glenmorgan, Thottalingi, Thakkal, Kovilpatti, Kurumbarpalayam, Kurumbarpadi, Moolakadu, Kozhikolli, Kodamula, Kadachanakolli, Theppakadu, Kamrajnagar, Kurunjinagar, Ellamalai, Puthurvayal, Ponkuzhi , Manmadhamoola, Athikkuny , Cherumoola, Alathoor , Kallumukku, Melemoola , Kuzhimoola, Rampalli , Veluthondi, Marukara , Kavumkarakunnu, Chappakolly, Karuvattimoola, Pallivayal, Kottanottu, Karissery , Choorikuni, Kumbarankolli, Kozhimoola, Pambaramoola, Chettiyalathoor, Odappalam , Valluvady , Anappandhi, Anappandhi2, Chettipampr
Replication Data for: Seasonal differences in soil respiration and methane uptake in rubber plantation and rainforest
No full textSoil respiration rates were measured in a rainforest plot and three rubber plantation plots, as two times of CH4 flux measurements in rainy season, aimed to assess the land use change impact on greenhouse gases emission. Controlling factors of temporal variation of soil respiration were determined using linear mixed effect model, and temperature sensitivity (Q10) of soil CO2 flux was calculated considering the moisture effect
Growth of Ricinodendron heudelotii trees from cutting at Mbalmayo field site, Cameroon 2017.
No full textGrowth evaluatio
Replication data for:Morphological traits of control-pollinated fruits in African plum (Dacryodes edulis (G.Don).Lam.) using multivariate statistical techniques
No full textThe characterisation of Dacryodes edulis reiteration study took place in Boumyebel, Kekem, Makenene and Limbe. During this study some measurements were recorded such as plant height, number of leaves and height of replication 1 to 6
Commercial Forestry Investment Sub-Project (CFISP) barometer: A rapid assessment of the quality of INREMP CFISP models (Wahig-Inabanga River Basin)
No full textThe CFISP barometer is developed to provide a systematic way of analyzing, understanding, and documenting the implementation of the CFISPs at the household level, as well as in the wider context of the river basin where is it located. The developed framework aims to provide an evaluation of the quality of the CFISPs to guide ICRAF to develop the necessary interventions as specified in its technical assistance contract
Combined Household Indicators
No full textThese are the household indicators calculated for the combined household data collected for the Sentinel Landscapes
Replication Data for Using metabarcoding to ask if easily collected soil and leaf-litter samples can be used as a general biodiversity indicator
No full textThe targeted sequencing of taxonomically informative genetic markers, sometimes known as metabarcoding, allows eukaryote biodiversity to be measured rapidly, cheaply, comprehensively, repeatedly, and verifiably. Metabarcoding helps to remove the taxonomic impediment, which refers to the great logistical difficulties of describing and identifying species, and thus promises to improve our ability to detect and respond to changes in the natural environment. Now, sampling has become a rate-limiting step in biodiversity measurement, and in an effort to reduce turnaround time, we use arthropod samples from southern China and Vietnam to ask whether soil, leaf litter, and aboveground samples provide similar ecological information. A soil or leaf-litter sample can be collected in minutes, whereas an aboveground sample, such as from Malaise traps or canopy fogging, can require days to set up and run, during which time they are subject to theft, damage, and deliberate contamination. Here we show that while the taxonomic compositions of soil and leaf-litter samples are very different from aboveground samples, both types of samples provide similar ecological information, in terms of ranking sites by species richness and differentiating sites by beta diversity. In fact, leaf-litter samples appear to be as or more powerful than Malaise-trap and canopy-fogging samples at detecting habitat differences. We propose that metabarcoded leaf-litter and soil samples be widely tested as a candidate method for rapid environmental monitoring in terrestrial ecosystems
Delineation of Cocoa Agroforests Using Multi-Season Sentinel-1 SAR Images
No full textThe data is based on field inventory from 2015 to 2017 to map cocoa agroforests and other vegetation and non-vegetation land cover. The main aim of the study was to discriminate cocoa agroforest from transition forest cover using SAR (Synthetic Aperture Radar) images of Sentinel-1.
The dataset consists of geospatial data of the land cover and land use in the forest-savannah transition landscape in Bokito, Centre Cameroon