{"type": "FeatureCollection", "features": [{"id": "10.1016/j.agee.2008.06.004", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:16:37Z", "type": "Journal Article", "created": "2008-07-14", "title": "Runoff And Sediment Losses From 27 Upland Catchments In Southeast Asia: Impact Of Rapid Land Use Changes And Conservation Practices", "description": "Rapid changes in upland farming systems in Southeast Asia generated predominantly by increased population pressure and 'market forces' have resulted in widespread land degradation that has been well documented at the plot scale. Yet, the links between agricultural activities in the uplands and downstream off-site effects remain largely unknown because of the difficulties in transferring results from plots to a larger scale. Many authors have thus pointed out the need for long-term catchment studies. The objective of this paper is to summarize the results obtained by the Management of Soil Erosion Consortium (MSEC) over the last 5 years from 27 catchments in five countries (Indonesia, Laos, Philippines, Thailand, and Vietnam). The purpose of the study was to assess the impacts of cultivation practices on annual runoff and erosion rates. Initial surveys in each catchment included topography, soils and land use. Monitoring included climatic, hydrologic and erosion (total sediment yield including bed load and suspended sediment load) data, land use and crop yields, and farmers' income. In addition, new land management options were introduced through consultations with farmers and evaluated in terms of runoff and erosion. These included tree plantations, fruit trees, improved fallow with legumes, maize intercropped with legumes, planted fodder, native grass strips and agro-ecological practices (direct sowing and mulch-based conservation agriculture). Regressions analyses showed that runoff during the rainy season, and normalized runoff flow coefficient based on erosive rainfall during the rainy season (rainfall with intensity exceeding 25 mm h(-1)) increase with the percentage of the catchment covered by maize. Both variables decrease with increasing soil depth, standard deviation of catchment slope (that reflects terrain roughness), and the percentages of the catchment covered by fallow (regular and improved), tree plantations and planted fodder. The best predictors of sediment yield were the surface percentages of maize, Job's tears, cassava and footpaths. The main conclusions generated from this study were: (i) soil erosion is predominantly influenced by land use rather than environmental characteristics not only at the plot scale but also at the catchment scale; (ii) slash-and-burn shifting cultivation with sufficiently long rotations (I year of cultivation, 8 years of fallow) is too often unjustly blamed for degradation; (iii) in its place, continuous cropping of maize and cassava promotes high rates of soil erosion at the catchment scale; (iv) conservation technologies are efficient in reducing runoff and total sediment yield at the catchment scale; (v) the adoption of improved soil management technologies by upland farmers is not a function of the degree of intensification of their farming system and/or of their incomes. The results suggest that if expansion of maize and cassava into already degraded upland systems were to occur due to increased demand for biofuels, there is a risk of higher runoff and sediment generation. A failure to adopt appropriate land use management strategies will result in further rapid resource degradation with negative impacts to downstream communities.", "keywords": ["550", "runoff", "sloping land", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "910", "maize", "01 natural sciences", "cassava", "630", "upland rice", "catchment areas", "farming systems", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "0105 earth and related environmental sciences", "2. Zero hunger", "Cassava", "land use", "Upland rice", "soil conservation", "04 agricultural and veterinary sciences", "15. Life on land", "erosion", "shifting cultivation", "6. Clean water", "Maize", "Steep slopes", "13. Climate action", "Soil erosion", "Shifting cultivation", "0401 agriculture", " forestry", " and fisheries", "sedimentation"]}, "links": [{"href": "https://doi.org/10.1016/j.agee.2008.06.004"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agriculture%2C%20Ecosystems%20%26amp%3B%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agee.2008.06.004", "name": "item", "description": "10.1016/j.agee.2008.06.004", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agee.2008.06.004"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2008-12-01T00:00:00Z"}}, {"id": "10.1080/01448765.2008.9755063", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:19:54Z", "type": "Journal Article", "created": "2012-04-24", "title": "Groundnut/Cassava/Maize Intercrop Yields Over Three Cycles Of Planted Tree Fallow/Crop Rotations On Ultisol In Southern Cameroon", "description": "ABSTRACT Lack of crop yield response to planted tree fallow led to introducing a two-year fallow phase to determine if planted tree fallow can improve soil fertility and yields over a no-tree control. Three cycles of two years fallow followed by slash-and-burn land preparation and one year of groundnut/cassava/maize intercropping were conducted with Senna spectabilis, Flemingia macrophylla and Dactyladenia barteri as planted hedgerow fallows and a no-tree control on an Ultisol in southern Cameroon. The land had been continuously cropped to maize/cassava intercrop for 5 years previous to the first two-year fallow phase. Groundnut grain yields were unaffected by fallow system in 1998 and 2001 and the sum of the three cropping years. Maize grain yield was unaffected by fallow system in 1998. In 2001 and 2004 maize grain yield was highest in the S. spectabilis system. Total maize grain yield across the three cropping years was higher in the F. macrophylla and S. spectabilis systems than in the D. barteri syst...", "keywords": ["2. Zero hunger", "groundnuts", "biomass", "flemingia macrophylla", "senna spectabilis", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "cassava root yields", "maize grain yield", "dactyladenia barteri"], "contacts": [{"organization": "Hauser, S.", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1080/01448765.2008.9755063"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biological%20Agriculture%20%26amp%3B%20Horticulture", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1080/01448765.2008.9755063", "name": "item", "description": "10.1080/01448765.2008.9755063", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1080/01448765.2008.9755063"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2008-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.17862666", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-06-26T16:26:23Z", "type": "Dataset", "title": "Drivers of hydrogen cyanide in roots of field-grown cassava in Malawi", "description": "This dataset provides field and environmental data from multi-location cassava trials conducted in Malawi to examine hydrogen cyanide (HCN) content, yield, and related physiological and soil factors across different cultivars, sites, and harvest times. Two complementary files are included.    Driver_of_cassava_hcn_field.xlsx   \u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Contains agronomic, physiological, yield, and soil property data collected at the same sites and harvest intervals.  \u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Variables include: leaf area index (LAI), plant height (cm), dry matter content (%), yield (t ha\u207b\u00b9), HCN concentration (mg kg\u207b\u00b9), and soil chemical/physical properties (pH, organic carbon, organic matter, nitrogen, phosphorus, potassium, calcium, magnesium, iron, manganese, zinc, clay %, silt %, texture class, and soil moisture content).  \u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Data are structured by location, harvest time (MAP), replicate, and cultivar.    Weather_driver_cassava_hcn_field.xlsx       Provides site-specific environmental variables recorded during the experiment.  Variables include total rainfall (mm), maximum and minimum temperature (\u00b0C), daily temperature range (DTR), solar radiation (MJ m\u207b\u00b2), and growing degree days (GDD).  Data are organised by location (Makoka, Chitedze, Chitala, Mkondezi), harvest time (6, 8, 10, 12 months after planting, MAP), and cultivar (Mbundumali, Sauti, Mpale, Sagonja).  Corresponding HCN values are reported for each cultivar \u00d7 site \u00d7 harvest combination.    These datasets together provide a comprehensive resource for examining the environmental and physiological factors influencing cassava cyanogenic potential and yield across different site conditions. They can be used to replicate the analyses in the manuscript, perform meta-analyses, or support further modelling of cassava food safety and agronomic performance.", "keywords": ["Malawi", "Soil", "Climate", "Cassava", "", "Hydrogen cyanide (HCN)", "Weather", "Nutrition"], "contacts": [{"organization": "Nyaika, JACINTA", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.17862666"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.17862666", "name": "item", "description": "10.5281/zenodo.17862666", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.17862666"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-12-09T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=cassava&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=cassava&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=cassava&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=cassava&offset=3", "hreflang": "en-US"}], "numberMatched": 3, "numberReturned": 3, "distributedFeatures": [], "timeStamp": "2026-06-26T19:18:01.915891Z"}