{"type": "FeatureCollection", "features": [{"id": "10.1007/s10661-006-5036-z", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:14:56Z", "type": "Journal Article", "created": "2006-02-24", "title": "Distribution Of Metals In The Edible Plants Grown At Jajmau, Kanpur (India) Receiving Treated Tannery Wastewater: Relation With Physico-Chemical Properties Of The Soil", "description": "The implications of metal contamination of agricultural soils due to long term irrigation with treated industrial wastewater and their subsequent accumulation in the vegetables/crops growing on such soils has been assessed in an area of industrial complex, Jajmau, Kanpur (India). Physico-chemical properties of the soil were also studied. The soil and vegetables/crops were sampled from an area of 2100 acre agricultural land and analyzed for physico-chemical properties and metal accumulation in different parts of the plants. The comparison of the data of physico-chemical properties of control and contaminated soil showed that salinity, electrical conductivity, available phosphorous, sodium and potassium content (both water soluble and exchangeable) were found high in contaminated soil. The analysis of plant available metal content in the soil showed the highest level of Fe, which ranged from 529.02 to 2615 microg g(-1) dw and lowest level of Ni (3.12 to 10.51 microg g(-1) dw). The analysis of the results revealed that accumulation of toxic metal Cr in leafy vegetables was found more than fruit bearing vegetables/crops. Thus, it is recommended that the leafy vegetables are unsuitable to grow in such contaminated sites. It is important to note that toxic metal, Ni was not detected in all the plants. The edible part of the vegetables (under ground) such as, garlic (19.27 microg g(-1) dw), potato (11.81 microg g(-1) dw) and turmeric (20.86 microg g(-1) dw) has accumulated lowest level of toxic metal, Cr than leafy and fruit bearing vegetables. In some fruit part of vegetables such as, bitter gourd, egg plant, jack tree, maize and okra, the accumulation of Cr was not detected and may be grown in this area.", "keywords": ["2. Zero hunger", "India", "Industrial Waste", "Tanning", "04 agricultural and veterinary sciences", "01 natural sciences", "6. Clean water", "Water Purification", "Soil", "13. Climate action", "Metals", " Heavy", "0401 agriculture", " forestry", " and fisheries", "Plants", " Edible", "Environmental Monitoring", "0105 earth and related environmental sciences"], "contacts": [{"organization": "K. Bhatt, Sarita Sinha, Kunwar P. Singh, Kavita Pandey, Amit K. Gupta, U. N. Rai,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1007/s10661-006-5036-z"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Monitoring%20and%20Assessment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10661-006-5036-z", "name": "item", "description": "10.1007/s10661-006-5036-z", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10661-006-5036-z"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2006-02-15T00:00:00Z"}}, {"id": "10.1007/s00374-006-0102-9", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:14:34Z", "type": "Journal Article", "created": "2006-04-14", "title": "Long-Term Yield Trend And Sustainability Of Rainfed Soybean-Wheat System Through Farmyard Manure Application In A Sandy Loam Soil Of The Indian Himalayas", "description": "A long-term (30 years) soybean\u2013wheat experiment was conducted at Hawalbagh, Almora, India to study the effects of organic and inorganic sources of nutrients on grain yield trends of rainfed soybean (Glycinemax)\u2013wheat (Triticumaestivum) system and nutrient status (soil C, N, P and K) in a sandy loam soil (Typic Haplaquept). The unfertilized plot supported 0.56 Mg ha\u22121 of soybean yield and 0.71 Mg ha\u22121 of wheat yield (average yield of 30 years). Soybean responded to inorganic NPK application and the yield increased significantly to 0.87 Mg ha\u22121 with NPK. Maximum yields of soybean (2.84 Mg ha\u22121) and residual wheat (1.88 Mg ha\u22121) were obtained in the plots under NPK + farmyard manure (FYM) treatment, which were significantly higher than yields observed under other treatments. Soybean yields in the plots under the unfertilized and the inorganic fertilizer treatments decreased with time, whereas yields increased significantly in the plots under N + FYM and NPK + FYM treatments. At the end of 30 years, total soil organic C (SOC) and total N concentrations increased in all the treatments. Soils under NPK + FYM-treated plots contained higher SOC and total N by 89 and 58% in the 0\u201345 cm soil layer, respectively, over that of the initial status. Hence, the decline in yields might be due to decline in available P and K status of soil. Combined use of NPK and FYM increased SOC, oxidizable SOC, total N, total P, Olsen P, and ammonium acetate exchangeable K by 37.8, 42.0, 20.8, 30.2, 25.0, and 52.7%, respectively, at 0\u201345 cm soil layer compared to application of NPK through inorganic fertilizers. However, the soil profiles under all the treatments had a net loss of nonexchangeable K, ranging from 172 kg ha\u22121 under treatment NK to a maximum of 960 kg ha\u22121 under NPK + FYM after 30 years of cropping. Depletion of available P and K might have contributed to the soybean yield decline in treatments where manure was not applied. The study also showed that although the combined NPK and FYM application sustained long-term productivity of the soybean\u2013wheat system, increased K input is required to maintain soil nonexchangeable K level.", "keywords": ["Rainfed cropping", "2. Zero hunger", "Wheat", "Soybean based cropping system", "Farmyard manure", "India", "Yield sustainability", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "Soil fertility", "630", "6. Clean water", "12. Responsible consumption"]}, "links": [{"href": "https://doi.org/10.1007/s00374-006-0102-9"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biology%20and%20Fertility%20of%20Soils", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s00374-006-0102-9", "name": "item", "description": "10.1007/s00374-006-0102-9", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s00374-006-0102-9"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2006-04-15T00:00:00Z"}}, {"id": "10.1007/s10661-007-9685-3", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:14:56Z", "type": "Journal Article", "created": "2007-03-16", "title": "Effect Of Heavy Metals On Microbial Biomass And Activities In Century Old Landfill Soil", "description": "A study was conducted to determine the effect of metals on soil microbial biomass and activities in landfill soils as well as normal background soil. The microbial biomass and activities were consistently higher in the landfill soils than in the background soil. Significant positive correlations existed between the microbial parameters and soil organic carbon. The landfill soils contained higher concentrations of metals (iron, manganese, copper, cadmium, lead and zinc) than did the background soil. Microbial parameters were negatively correlated with the metals, with inhibition increasing with the bioavailability of the metals. It is suggested that the metals affected microbial biomass and activities by behaving synergistically or additively with each other. Although the landfill soils had higher microbial biomass and activities than the background soil, due to higher organic matter content, the ratios of microbial parameters/organic carbon indicated that inhibition of microbial growth and activities had occurred due to metal stress.", "keywords": ["Time Factors", "India", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "Carbon", "6. Clean water", "Refuse Disposal", "Soil", "Biodegradation", " Environmental", "13. Climate action", "Metals", " Heavy", "Humans", "Soil Pollutants", "0401 agriculture", " forestry", " and fisheries", "Biomass", "Soil Microbiology", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1007/s10661-007-9685-3"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Monitoring%20and%20Assessment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10661-007-9685-3", "name": "item", "description": "10.1007/s10661-007-9685-3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10661-007-9685-3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-03-17T00:00:00Z"}}, {"id": "10.1016/j.biortech.2017.06.076", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:15:59Z", "type": "Journal Article", "created": "2017-06-17", "title": "Trends in food waste valorization for the production of chemicals, materials and fuels: Case study South and Southeast Asia", "description": "Staggering amounts of food waste are being generated in Asia by means of agricultural processing, food transportation and storage, and human food consumption activities. This along with the recent sustainable development goals of food security, environmental protection, and energy efficiency are the key drivers for food waste valorization. The aim of this review is to provide an insight on the latest trends in food waste valorization in Asian countries such as India, Thailand, Singapore, Malaysia and Indonesia. Landfilling, incineration, and composting are the first-generation food waste processing technologies. The advancement of valorisation alternatives to tackle the food waste issue is the focus of this review. Furthermore, a series of examples of key food waste valorization schemes in this Asian region as case studies to demonstrate the advancement in bioconversions in these countries are described. Finally, important legislation aspects for food waste disposal in these Asian countries are also reported.", "keywords": ["2. Zero hunger", "Singapore", "Malaysia", "1. No poverty", "0211 other engineering and technologies", "India", "02 engineering and technology", "Thailand", "01 natural sciences", "Refuse Disposal", "12. Responsible consumption", "Food", "Indonesia", "13. Climate action", "11. Sustainability", "Humans", "Asia", " Southeastern", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.biortech.2017.06.076"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Bioresource%20Technology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.biortech.2017.06.076", "name": "item", "description": "10.1016/j.biortech.2017.06.076", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.biortech.2017.06.076"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-01T00:00:00Z"}}, {"id": "10.1016/j.chemosphere.2004.11.047", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:16:04Z", "type": "Journal Article", "created": "2005-01-25", "title": "Methane Emission Characteristics And Its Relations With Plant And Soil Parameters Under Irrigated Rice Ecosystem Of Northeast India", "description": "Methane flux from rice varieties grown under two identical soils of Assam were monitored. In the first experiment, variety Jaya and GRT was grown in sandy loam soil of Lower Brahmaputra Valley Zone of Assam and the second experiment was conducted with variety Jyotiprasad and Bishnuprasad in sandy to sandy loam soils of Upper Brahmaputra Valley Zones of Assam. Methane flux recorded from variety Jyotiprasad and GRT was higher compared to variety Bishnuprasad and Jaya. The seasonal integrated flux recorded was 10.76 gm(-2), 9.98 gm(-2), 9.74 gm(-2) and 11.31 gm(-2) for variety GRT, Jaya, Bishnuprasad and Jyotiprasad, respectively. All the varieties exhibited two methane peaks one at maximum tillering stage and other at panicle initiation stage of the crop. Crop growth parameters such as leaf number, number of tillers and leaf area index (LAI) showed strong positive relationship with total methane flux. In both the experiments it was calculated that CH4 emission was substantially influenced by crop phenology and growth. This study emphasise the relationship of different growth parameters with methane emission.", "keywords": ["Crops", " Agricultural", "2. Zero hunger", "Air Pollutants", "Time Factors", "India", "Oryza", "04 agricultural and veterinary sciences", "15. Life on land", "Soil", "Water Supply", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "Seasons", "Methane", "Ecosystem"], "contacts": [{"organization": "Boby Gogoi, Kushal Kumar Baruah, Prabhat K. Gupta, Nirmali Gogoi,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.chemosphere.2004.11.047"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Chemosphere", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.chemosphere.2004.11.047", "name": "item", "description": "10.1016/j.chemosphere.2004.11.047", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.chemosphere.2004.11.047"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2005-06-01T00:00:00Z"}}, {"id": "10.1016/j.fcr.2011.11.011", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:16:23Z", "type": "Journal Article", "created": "2011-12-14", "title": "Long-Term Effect Of Different Integrated Nutrient Management On Soil Organic Carbon And Its Fractions And Sustainability Of Rice\u2013Wheat System In Indo Gangetic Plains Of India", "description": "Abstract   Rice\u2013wheat rotation is the most important cropping system of the Indo-Gangetic Plains (IGP) and is responsible for the food security of the region. The effect of different integrated nutrient management practices on soil organic carbon (SOC) stocks and its fractions, SOC sequestration potential as well as the sustainability of the rice\u2013wheat system were evaluated in long term experiments at different agro-climatic zones of IGP. Application of NPK either through inorganic fertilizers or through combination of inorganic fertilizer and organics such as farm yard manure (FYM) or crop residue or green manure improved the SOC, particulate organic carbon (POC), microbial biomass carbon (MBC) concentration and their sequestration rate. Application of 50% NPK\u00a0+\u00a050%\u00a0N through FYM in rice and 100% NPK in wheat, sequestered 0.39, 0.50, 0.51 and 0.62\u00a0Mg\u00a0C\u00a0ha\u22121\u00a0yr\u22121 over control (no N\u2013P\u2013K fertilizers or organics), respectively at Ludhiana, Kanpur, Sabour and Kalyani using the mass of SOC in the control treatment as reference point. Soil carbon sequestration with response to application of fertilizer partially substituted (50% on N basis) with organics were higher in Kalyani and Sabour lying in humid climate than Ludhiana and Kanpur lying in semiarid climate. The rice yield recorded a significant declining trend in Ludhiana and Kanpur where as the yield trend was stable at Sabour and Kalyani under unfertilized control. The system productivity in N\u2013P\u2013K fertilized plots and NPK along with organics showed either an increasing trend or remained stable at all locations during last two and half decades of the experiment.", "keywords": ["Carbon sequestration", "2. Zero hunger", "Kanpur", "Soil organic carbon", "Indo-Gangetic Plains", "Kalyani", "Nutrient management", "India", "Green manure", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water", "12. Responsible consumption", "Semiarid zones", "Ludhiana", "Humid zones", "Wheat", "0401 agriculture", " forestry", " and fisheries", "Rice", "SOC", "Field Scale", "Sabour"]}, "links": [{"href": "https://doi.org/10.1016/j.fcr.2011.11.011"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Field%20Crops%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.fcr.2011.11.011", "name": "item", "description": "10.1016/j.fcr.2011.11.011", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.fcr.2011.11.011"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-02-01T00:00:00Z"}}, {"id": "10.1016/j.scitotenv.2013.05.035", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:17:04Z", "type": "Journal Article", "created": "2013-06-10", "title": "Impact Of Elevated Co2 And Temperature On Soil C And N Dynamics In Relation To Ch4 And N2o Emissions From Tropical Flooded Rice (Oryza Sativa L.)", "description": "A field experiment was carried out to investigate the impact of elevated carbon dioxide (CO2) (CEC, 550 \u03bcmol mol(-1)) and elevated CO2+elevated air temperature (CECT, 550 \u03bcmol mol(-1) and 2\u00b0C more than control chamber (CC)) on soil labile carbon (C) and nitrogen (N) pools, microbial populations and enzymatic activities in relation to emissions of methane (CH4) and nitrous oxide (N2O) in a flooded alluvial soil planted with rice cv. Naveen in open top chambers (OTCs). The labile soil C pools, namely microbial biomass C, readily mineralizable C, water soluble carbohydrate C and potassium permanganate oxidizable C were increased by 27, 23, 38 and 37% respectively under CEC than CC (ambient CO2, 394 \u03bcmol mol(-1)). The total organic carbon (TOC) in root exudates was 28.9% higher under CEC than CC. The labile N fractions were also increased significantly (29%) in CEC than CC. Methanogens and denitrifier populations in rhizosphere were higher under CEC and CECT. As a result, CH4 and N2O-N emissions were enhanced by 26 and 24.6% respectively, under CEC in comparison to open field (UC, ambient CO2, 394 \u03bcmol mol(-1)) on seasonal basis. The global warming potential (GWP) was increased by 25% under CEC than CC. However, emissions per unit of grain yield under elevated CO2 and temperature were similar to those observed at ambient CO2. The stimulatory effect on CH4 and N2O emissions under CEC was linked with the increased amount of soil labile C, C rich root exudates, lowered Eh, higher Fe(+2) concentration and increased activities of methanogens and extracellular enzymes.", "keywords": ["2. Zero hunger", "Tropical Climate", "Chromatography", " Gas", "Nitrogen", "Iron", "Nitrous Oxide", "Temperature", "India", "Agriculture", "Oryza", "04 agricultural and veterinary sciences", "Carbon Dioxide", "15. Life on land", "Global Warming", "Plant Roots", "Carbon", "6. Clean water", "Soil", "13. Climate action", "Rhizosphere", "Regression Analysis", "0401 agriculture", " forestry", " and fisheries", "Methane", "Soil Microbiology"]}, "links": [{"href": "https://doi.org/10.1016/j.scitotenv.2013.05.035"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20of%20The%20Total%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.scitotenv.2013.05.035", "name": "item", "description": "10.1016/j.scitotenv.2013.05.035", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.scitotenv.2013.05.035"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-09-01T00:00:00Z"}}, {"id": "10.1016/j.still.2005.02.018", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:17:28Z", "type": "Journal Article", "created": "2005-03-11", "title": "Effect Of Tillage And Crop Rotations On Pore Size Distribution And Soil Hydraulic Conductivity In Sandy Clay Loam Soil Of The Indian Himalayas", "description": "Abstract   Tillage management can affect crop growth by altering the pore size distribution, pore geometry and hydraulic properties of soil. In the present communication, the effect of different tillage management viz., conventional tillage (CT), minimum tillage (MT) and zero-tillage (ZT) and different crop rotations viz. [(soybean\u2013wheat (S\u2013W), soybean\u2013lentil (S\u2013L) and soybean\u2013pea (S\u2013P)] on pore size distribution and soil hydraulic conductivities [saturated hydraulic conductivity ( K  sat ) and unsaturated hydraulic conductivity { k ( h )}] of a sandy clay loam soil was studied after 4 years prior to the experiment. Soil cores were collected after 4 year of the experiment at an interval of 75\u00a0mm up to 300\u00a0mm soil depth for measuring soil bulk density, soil water retention constant ( b ), pore size distribution,  K  sat  and  k ( h ). Nine pressure levels (from 2 to 1500\u00a0kPa) were used to calculate pore size distribution and  k ( h ). It was observed that b values at all the studied soil depths were higher under ZT than those observed under CT irrespective of the crop rotations. The values of soil bulk density observed under ZT were higher in 0\u201375\u00a0mm soil depth in all the crop rotations. But, among the crop rotations, soils under S\u2013P and S\u2013L rotations showed relatively lower bulk density values than S\u2013W rotation. Average values of the volume fraction of total porosity with pores  3 \u00a0m \u22123  under CT, MT and ZT; and 0.592, 0.610 and 0.626\u00a0m 3 \u00a0m \u22123  under S\u2013W, S\u2013L and S\u2013P, respectively. In contrast, the average values of the volume fraction of total porosity with pores >150\u00a0\u03bcm in diameter (pores draining freely with gravity) were 0.124, 0.096 and 0.095\u00a0m 3 \u00a0m \u22123  under CT, MT and ZT; and 0.110, 0.104 and 0.101\u00a0m 3 \u00a0m \u22123  under S\u2013W, S\u2013L and S\u2013P, respectively. Saturated hydraulic conductivity values in all the studied soil depths were significantly greater under ZT than those under CT (range from 300 to 344\u00a0mm\u00a0day \u22121 ). The observed  k ( h ) values at 0\u201375\u00a0mm soil depth under ZT were significantly higher than those computed under CT at all the suction levels, except at \u221210, \u2212100 and \u2212400\u00a0kPa suction. Among the crop rotations, S\u2013P rotation recorded significantly higher  k ( h ) values than those under S\u2013W and S\u2013L rotations up to \u221240\u00a0kPa suction. The interaction effects of tillage and crop rotations affecting the  k ( h ) values were found significant at all the soil water suctions. Both S\u2013L and S\u2013P rotations resulted in better soil water retention and transmission properties under ZT.", "keywords": ["2. Zero hunger", "Tillage management", "Loamy sand", "Sandy soils", "550", "Soil hydraulic conductivity", "Soybean based cropping system", "India", "04 agricultural and veterinary sciences", "Pore size distribution", "15. Life on land", "Soil fertility", "630", "6. Clean water", "Crop rotation", "0401 agriculture", " forestry", " and fisheries", "Conservation tillage"]}, "links": [{"href": "https://doi.org/10.1016/j.still.2005.02.018"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20and%20Tillage%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.still.2005.02.018", "name": "item", "description": "10.1016/j.still.2005.02.018", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.still.2005.02.018"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2006-04-01T00:00:00Z"}}, {"id": "10.1016/j.still.2006.01.009", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:17:29Z", "type": "Journal Article", "created": "2006-03-24", "title": "Carbon Sequestration And Relationship Between Carbon Addition And Storage Under Rainfed Soybean-Wheat Rotation In A Sandy Loam Soil Of The Indian Himalayas", "description": "Abstract   Soil organic matter (SOM) contributes to the productivity and physical properties of soils. Although crop productivity is sustained mainly through the application of organic manure in the Indian Himalayas, no information is available on the effects of long-term manure addition along with mineral fertilizers on C sequestration and the contribution of total C input towards soil organic C (SOC) storage. We analyzed results of a long-term experiment, initiated in 1973 on a sandy loam soil under rainfed conditions to determine the influence of different combinations of NPK fertilizer and fertilizer\u00a0+\u00a0farmyard manure (FYM) at 10\u00a0Mg\u00a0ha \u22121  on SOC content and its changes in the 0\u201345\u00a0cm soil depth. Concentration of SOC increased 40 and 70% in the NPK\u00a0+\u00a0FYM-treated plots as compared to NPK (43.1\u00a0Mg\u00a0C\u00a0ha \u22121 ) and unfertilized control plots (35.5\u00a0Mg\u00a0C\u00a0ha \u22121 ), respectively. Average annual contribution of C input from soybean ( Glycine max  (L.) Merr.) was 29% and that from wheat ( Triticum aestivum  L. Emend. Flori and Paol) was 24% of the harvestable above-ground biomass yield. Annual gross C input and annual rate of total SOC enrichment were 4852 and 900\u00a0kg\u00a0C\u00a0ha \u22121 , respectively, for the plots under NPK\u00a0+\u00a0FYM. It was estimated that 19% of the gross C input contributed towards the increase in SOC content. C loss from native SOM during 30 years averaged 61\u00a0kg\u00a0C\u00a0ha \u22121 \u00a0yr \u22121 . The estimated quantity of biomass C required to maintain equilibrium SOM content was 321\u00a0kg\u00a0ha \u22121 \u00a0yr \u22121 . The total annual C input by the soybean\u2013wheat rotation in the plots under unfertilized control was 890\u00a0kg\u00a0ha \u22121 \u00a0yr \u22121 . Thus, increase in SOC concentration under long-term (30 years) rainfed soybean\u2013wheat cropping was due to the fact that annual C input by the system was higher than the required amount to maintaining equilibrium SOM content.", "keywords": ["Rainfed cropping", "Carbon sequestration", "2. Zero hunger", "Loamy sand", "Sandy soils", "Soybean based cropping system", "India", "04 agricultural and veterinary sciences", "15. Life on land", "Soil fertility", "630", "Wheat", "Farmyard manure", "0401 agriculture", " forestry", " and fisheries", "Sub-temperate Indian Himalayas"]}, "links": [{"href": "https://doi.org/10.1016/j.still.2006.01.009"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20and%20Tillage%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.still.2006.01.009", "name": "item", "description": "10.1016/j.still.2006.01.009", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.still.2006.01.009"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-01-01T00:00:00Z"}}, {"id": "10.1038/s41893-019-0469-x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:18:18Z", "type": "Journal Article", "created": "2020-01-20", "title": "Potential yield challenges to scale-up of zero budget natural farming", "description": "Under current trends, 60% of India's population (>10% of people on Earth) will experience severe food deficiencies by 2050. Increased production is urgently needed, but high costs and volatile prices are driving farmers into debt. Zero budget natural farming (ZBNF) is a grassroots movement that aims to improve farm viability by reducing costs. In Andhra Pradesh alone, 523,000 farmers have converted 13% of productive agricultural area to ZBNF. However, sustainability of ZBNF is questioned because external nutrient inputs are limited, which could cause a crash in food production. Here, we show that ZBNF is likely to reduce soil degradation and could provide yield benefits for low-input farmers. Nitrogen fixation, either by free-living nitrogen fixers in soil or symbiotic nitrogen fixers in legumes, is likely to provide the major portion of nitrogen available to crops. However, even with maximum potential nitrogen fixation and release, only 52-80% of the national average nitrogen applied as fertilizer is expected to be supplied. Therefore, in higher-input systems, yield penalties are likely. Since biological fixation from the atmosphere is possible only with nitrogen, ZBNF could limit the supply of other nutrients. Further research is needed in higher-input systems to ensure that mass conversion to ZBNF does not limit India's capacity to feed itself.", "keywords": ["Monitoring", "IEAS/POO2501/1", "NE/S009019/1", "330", "Supplementary Data", "QH301 Biology", "NE/P004830/1", "WHEAT", "01 natural sciences", "630", "12. Responsible consumption", "QH301", "NE/M021327/1", "SOIL PHYSICAL-PROPERTIES", "SDG 7 - Affordable and Clean Energy", "FERTILIZER", "Renewable Energy", "Wellcome Trust", "SDG 2 - Zero Hunger", "Nature and Landscape Conservation", "0105 earth and related environmental sciences", "Planning and Development", "2. Zero hunger", "Global and Planetary Change", "Geography", "Policy and Law", "Ecology", "Sustainability and the Environment", "Natural Environment Research Council (NERC)", "Sustainable and Healthy Food Systems (SHEFS)", "NE/P019455/1", "1. No poverty", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water", "Management", "NITROGEN", "Urban Studies", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "INDIA", "Economic and Social Research Council (ESRC)", "Food Science"]}, "links": [{"href": "https://www.nature.com/articles/s41893-019-0469-x.pdf"}, {"href": "https://doi.org/10.1038/s41893-019-0469-x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Sustainability", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s41893-019-0469-x", "name": "item", "description": "10.1038/s41893-019-0469-x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41893-019-0469-x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-20T00:00:00Z"}}, {"id": "10.1073/pnas.1809276115", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:18:38Z", "type": "Journal Article", "created": "2018-09-10", "title": "High Nitrous Oxide Fluxes From Rice Indicate The Need To Manage Water For Both Long- And Short-Term Climate Impacts", "description": "Significance           <p>             Methane from global rice cultivation currently accounts for one-half of all crop-related greenhouse gas emissions. Several international organizations are advocating reductions in methane emissions from rice by promoting intermittent flooding without accounting for the possibility of large emissions of nitrous oxide (N             2             O), a long-lived greenhouse gas. Our experimental results suggest that the Indian subcontinent\uffe2\uff80\uff99s N             2             O emissions from intermittently flooded rice fields could be 30\uffe2\uff80\uff9345 times higher than reported under continuous flooding. Net climate impacts of rice cultivation could be reduced by up to 90% through comanagement of water, nitrogen, and carbon. To do this effectively will require a careful ongoing global assessment of N             2             O emissions from rice, or we will risk ignoring a very large source of climate impact.           </p>", "keywords": ["2. Zero hunger", "Nitrous oxide", "550", "Climate Change", "Nitrous Oxide", "Water", "India", "Oryza", "04 agricultural and veterinary sciences", "Biological Sciences", "15. Life on land", "630", "Crop Production", "6. Clean water", "12. Responsible consumption", "Greenhouse Gases", "Alternate wetting and drying", "Water Supply", "13. Climate action", "11. Sustainability", "0401 agriculture", " forestry", " and fisheries", "Rice", "Methane"]}, "links": [{"href": "https://doi.org/10.1073/pnas.1809276115"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Proceedings%20of%20the%20National%20Academy%20of%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1073/pnas.1809276115", "name": "item", "description": "10.1073/pnas.1809276115", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1073/pnas.1809276115"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-09-10T00:00:00Z"}}, {"id": "10.5061/dryad.cjsxksncn", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:22:33Z", "type": "Dataset", "created": "2023-10-13", "title": "Tillage agriculture and afforestation threaten tropical savanna plant communities across a broad rainfall gradient in India", "description": "unspecifiedThe consequences of land-use change for savanna biodiversity remain  undocumented in most regions of tropical Asia. One such region is western  Maharashtra, India, where old-growth savannas occupy a broad rainfall  gradient and are increasingly rare due to agricultural conversion and  afforestation. To understand the consequences of land-use change, we  sampled herbaceous plant communities of old-growth savannas and three  alternative land-use types: tree plantations, tillage agriculture, and  agricultural fallows (n=15 sites per type). Study sites spanned 457 to  1954 mm of mean annual precipitation\u2014corresponding to the typical rainfall  range of mesic savannas globally. Across the rainfall gradient, we found  consistent declines in old-growth savanna plant communities due to  land-use change. Local-scale native species richness dropped from a mean  of 12 species/m2 in old-growth savannas to 8, 6, and 3 species/m2 in tree  plantations, fallows, and tillage agriculture, respectively. Cover of  native plants declined from a mean of 49% in old-growth savannas to 27% in  both tree plantations and fallows, and 4% in tillage agriculture.  Reductions in native cover coincided with increased cover of invasive  species in tree plantations (18%), fallows (18%), and tillage agriculture  (3%). In analyses of community composition, tillage agriculture was most  dissimilar to old-growth savannas, while tree plantations and fallows  showed intermediate dissimilarity. These compositional changes were driven  partly by the loss of characteristic savanna species: 65 species recorded  in old-growth savannas were absent in other land uses. Indicator analysis  revealed 21 old-growth species, comprised mostly of native savanna  specialists. Indicators of tree plantations (9 species) and fallows (13  species) were both invasive and native species, while the 2 indicators of  tillage agriculture were invasive. As reflective of declines in savanna  communities, mean native perennial graminoid cover of 27% in old-growth  savannas dropped to 9%, 7%, and 0.1% in tree plantations, fallows, and  tillage agriculture, respectively. Synthesis: Agricultural conversion and  afforestation of old-growth savannas in India destroys and degrades  herbaceous plant communities that do not spontaneously recover on fallowed  land. Efforts to conserve India\u2019s native biodiversity should encompass the  country\u2019s widespread savanna biome and seek to limit conversion of  irreplaceable old-growth savannas.", "keywords": ["2. Zero hunger", "land use change", "13. Climate action", "plant species richness", "India", "Biodiversity", "15. Life on land", "grassland", "herbivores", "fire", "FOS: Natural sciences"], "contacts": [{"organization": "Nerlekar, Ashish, Munje, Avishkar, Mhaisalkar, Pranav, Hiremath, Ankila, Veldman, Joseph,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.cjsxksncn"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.cjsxksncn", "name": "item", "description": "10.5061/dryad.cjsxksncn", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.cjsxksncn"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-10-17T00:00:00Z"}}, {"id": "10.1155/2012/623070", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:20:01Z", "type": "Journal Article", "created": "2012-08-05", "title": "Environmental Impacts Of Jatropha Curcas Biodiesel In India", "description": "<p>In the context of energy security, rural development and climate change, India actively promotes the cultivation ofJatropha curcas, a biodiesel feedstock which has been identified as suitable for achieving the Indian target of 20% biofuel blending by 2017. In this paper, we present results concerning the range of environmental impacts of differentJatropha curcascultivation systems. Moreover, nine agronomic trials in Andhra Pradesh are analysed, in which the yield was measured as a function of different inputs such as water, fertilizer, pesticides, and arbuscular mycorrhizal fungi. Further, the environmental impact of the wholeJatropha curcasbiodiesel value chain is benchmarked with fossil diesel, following the ISO 14040/44 life cycle assessment procedure. Overall, this study shows that the use ofJatropha curcasbiodiesel generally reduces the global warming potential and the nonrenewable energy demand as compared to fossil diesel. On the other hand, the environmental impacts on acidification, ecotoxicity, eutrophication, and water depletion all showed increases. Key for reducing the environmental impact ofJatropha curcasbiodiesel is the resource efficiency during crop cultivation (especially mineral fertilizer application) and the optimal site selection of theJatropha curcasplantations.</p>", "keywords": ["2. Zero hunger", "Fossil Fuels", "Esterification", "Conservation of Energy Resources", "India", "Agriculture", "Jatropha", "02 engineering and technology", "Environment", "15. Life on land", "Global Warming", "7. Clean energy", "Carbon", "6. Clean water", "12. Responsible consumption", "13. Climate action", "Biofuels", "0202 electrical engineering", " electronic engineering", " information engineering", "Plant Oils", "Research Article"], "contacts": [{"organization": "Gm\u00fcnder, Simon, Singh, Reena, Pfister, Stephan; id_orcid0000-0001-8984-2041, Adheloya, Alok, Zah, Rainer,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1155/2012/623070"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Biomedicine%20and%20Biotechnology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1155/2012/623070", "name": "item", "description": "10.1155/2012/623070", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1155/2012/623070"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-01-01T00:00:00Z"}}, {"id": "10.1890/15-2143", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-13T16:20:48Z", "type": "Journal Article", "created": "2016-06-08", "title": "Impacts Of Land Use On Indian Mangrove Forest Carbon Stocks: Implications For Conservation And Management", "description": "Abstract<p>Globally, mangrove forests represents only 0.7% of world's tropical forested area but are highly threatened due to susceptibility to climate change, sea level rise, and increasing pressures from human population growth in coastal regions. Our study was carried out in the Bhitarkanika Conservation Area (BCA), the second\uffe2\uff80\uff90largest mangrove area in eastern India. We assessed total ecosystem carbon (C) stocks at four land use types representing varying degree of disturbances. Ranked in order of increasing impacts, these sites included dense mangrove forests, scrub mangroves, restored/planted mangroves, and abandoned aquaculture ponds. These impacts include both natural and/or anthropogenic disturbances causing stress, degradation, and destruction of mangroves. Mean vegetation C stocks (including both above\uffe2\uff80\uff90 and belowground pools; mean\uffc2\uffa0\uffc2\uffb1\uffc2\uffa0standard error) in aquaculture, planted, scrub, and dense mangroves were 0, 7\uffc2\uffa0\uffc2\uffb1\uffc2\uffa04, 65\uffc2\uffa0\uffc2\uffb1\uffc2\uffa011 and 100\uffc2\uffa0\uffc2\uffb1\uffc2\uffa011 Mg C/ha, respectively. Average soil C pools for aquaculture, planted, scrub, and dense mangroves were 61\uffc2\uffa0\uffc2\uffb1\uffc2\uffa08, 92\uffc2\uffa0\uffc2\uffb1\uffc2\uffa020, 177\uffc2\uffa0\uffc2\uffb1\uffc2\uffa014, and 134\uffc2\uffa0\uffc2\uffb1\uffc2\uffa017 Mg C/ha, respectively. Mangrove soils constituted largest fraction of total ecosystem C stocks at all sampled sites (aquaculture [100%], planted [90%], scrub [72%], and dense mangrove [57%]). Within BCA, the four studied land use types covered an area of ~167\uffc2\uffa0km2 and the total ecosystem C stocks were 0.07\uffc2\uffa0Tg C for aquaculture (~12\uffc2\uffa0km2), 0.25\uffc2\uffa0Tg C for planted/ restored mangrove (~24\uffc2\uffa0km2), 2.29\uffc2\uffa0teragrams (Tg) Tg C for scrub (~93\uffc2\uffa0km2), and 0.89\uffc2\uffa0Tg C for dense mangroves (~38\uffc2\uffa0km2). Although BCA is protected under Indian wildlife protection and conservation laws, ~150 000 people inhabit this area and are directly or indirectly dependent on mangrove resources for sustenance. Estimates of C stocks of Bhitarkanika mangroves and recognition of their role as a C repository could provide an additional reason to support conservation and restoration of Bhitarkanika mangroves. Harvesting or destructive exploitation of mangroves by local communities for economic gains can potentially be minimized by enabling these communities to avail themselves of carbon offset/conservation payments under approved climate change mitigation strategies and actions.</p>", "keywords": ["0106 biological sciences", "Conservation of Natural Resources", "carbon", "mangroves", "Climate Change", "India", "Agriculture", "15. Life on land", "coastal areas", "01 natural sciences", "Carbon", "mitigation", "Soil", "climate change", "13. Climate action", "Wetlands", "Humans", "Human Activities", "14. Life underwater", "ecology", "ecosystems", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1890/15-2143"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecological%20Applications", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1890/15-2143", "name": "item", "description": "10.1890/15-2143", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1890/15-2143"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-07-01T00:00:00Z"}}, {"id": "10.5061/dryad.b935c05", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:22:32Z", "type": "Dataset", "title": "Data from: Simplification of shade tree diversity reduces nutrient cycling resilience in coffee agroforestry", "description": "unspecified1. Agroforestry systems are refuges for biodiversity and provide multiple  ecosystem functions and services. Diverse multispecies shade tree canopies  are increasingly replaced by monospecific shade, often dominated by  non-native tree species. The loss of tree diversity and the nature of the  dominating tree can have strong implications for ecosystem functions, e.g.  nutrient cycling ultimately reducing crop production. 2. To understand  direct and indirect impacts of shade trees on nutrient cycling and crop  production, we studied coffee agroforestry systems in India along a  gradient from native multispecies canopies to Grevillea robusta  (Proteaceae) -dominated canopy cover. We identified 25 agroforests, across  a broad rainfall and management gradient and assessed litter quantity and  quality, decomposition, nutrient release, soil fertility and coffee  nutrient limitations. 3. Increasing G. robusta dominance affected nutrient  cycling predominantly by; (1) changing of litter phenology, (2) reducing  phosphorus (P), potassium (K), magnesium (Mg), boron (B), and zinc (Zn)  inputs via litterfall, decelerated litter decomposition and immobilization  of P and Zn due to low quality litter, (3) reducing soil carbon (C) and  micronutrients (especially sulphur (S), Mg and B). Coffee plants were  deficient in several nutrients (nitrogen (N), calcium (Ca), manganese  (Mn), Mg and S in organic and B in conventional management). (4) Overall  G. robusta dominated agroforests were characterized by a reduction of P  cycling due to low inputs, strong immobilization while decomposition and  antagonistic effects on its release in litter mixtures with coffee. 4.  Synthesis and applications. The conversion of shade cover in coffee  agroforestry systems from diverse tree canopies to canopies dominated by  Grevillea robusta (Proteaceae) reduces the inputs and cycling of several  micro- and macronutrients. Soil fertility is therefore expected to decline  in G. robusta dominated systems, with likely impacts on coffee production.  These negative effects might increase under the longer dry periods  projected by regional climate change scenarios due to the pronounced  litter phenology of G. robusta. Maintaining diverse shade canopies can  more effectively sustain micro- and macronutrients in a more seasonal  climate.", "keywords": ["2. Zero hunger", "Intensification", "Grevillea robusta", "Coffea canephora", "13. Climate action", "India", "15. Life on land", "shading", "rainfall gradient", "Nutrient cycle"], "contacts": [{"organization": "Nesper, Maike, Kueffer, Christoph, Krishnan, Smitha, Kushalappa, Cheppudira G., Ghazoul, Jaboury,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.b935c05"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.b935c05", "name": "item", "description": "10.5061/dryad.b935c05", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.b935c05"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-05-04T00:00:00Z"}}, {"id": "10.5281/zenodo.7572718", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:24:51Z", "type": "Dataset", "title": "Mangroves in the lagoon of the protected Aldabra Atoll: a dataset on species, structure, biomass and the environment", "description": "Open AccessMangroves are vital for climate change mitigation since they store vast quantities of carbon as biomass and in the soil. Global mangrove biomass estimates are derived from climate-based relationships of mangroves with precipitation and temperature. However, the carbon stored locally is highly variable depending on environmental conditions. This uncertainty highlights the importance of local mangrove surveys and the need to explore factors that regulate forest structure and, therefore, carbon storage. In this study, we investigate the mangrove forest structure, seedling growth, species composition, aboveground biomass, soil organic carbon, and local environmental factors related to variation in mangrove carbon in the lagoonal mangroves on the protected Aldabra Atoll, Seychelles. We present a database from an extensive field survey of Aldabra's mangrove ecosystem using 54 plots of 5 m x 5 m along a mangrove coverage gradient. From November 2019 to November 2020, we measured the structural attributes and identified six mangrove species from &gt;750 adult mangrove trees on Aldabra. We used the height and diameter of adult trees to derive aboveground biomass and carbon from a tropical allometric equation. We measured the height of 59 mangrove seedlings over three sampling periods. In addition, environmental factors were recorded for each plot. We measured soil salinity repeatedly along the soil column. From 90 soil samples, we measured the physical and chemical properties of the soil, including soil organic carbon and elemental concentrations for &gt;20 elements. Autonomous measures of the water level, temperature and conductivity were made every 10 minutes over 1 year in a subset of 36 plots. The database provides 60% more information that is currently available for Seychelles regarding mangrove forest structure and biomass and is essential for research on several globally threatened and endemic species that depend on the mangroves on Aldabra. Furthermore, the database allows the incorporation of data and insights for the Western Indian Ocean and lagoonal mangroves, where few studies have been conducted on mangrove aboveground biomass and soil organic carbon. No copyright restrictions apply to the use of this data set. Please cite this data paper when using the current data in publications.", "keywords": ["13. Climate action", "aboveground biomass", " blue carbon", " field survey", " islands", " lagoon", " one-year field period", " protected area", " Seychelles", " soil nutrients", " water level", " water temperature", " Western Indian Ocean.", "14. Life underwater", "15. Life on land"], "contacts": [{"organization": "Constance, Annabelle", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.7572718"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.7572718", "name": "item", "description": "10.5281/zenodo.7572718", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.7572718"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-08-10T00:00:00Z"}}, {"id": "31769934-038c-4873-ab14-4b6b66531103", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-157.9, -38.8], [-157.9, 29.1], [175.9, 29.1], [175.9, -38.8], [-157.9, -38.8]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil science"}], "scheme": "Stratum"}, {"concepts": [{"id": "Australia"}, {"id": "Bangladesh"}, {"id": "Belize"}, {"id": "Benin"}, {"id": "Brazil"}, {"id": "Cameroon"}, {"id": "China"}, {"id": "Colombia"}, {"id": "Costa Rica"}, {"id": "Dominican Republic"}, {"id": "Ecuador"}, {"id": "Egypt"}, {"id": "El Salvador"}, {"id": "French Guiana"}, {"id": "Guadeloupe"}, {"id": "Honduras"}, {"id": "Hong Kong"}, {"id": "India"}, {"id": "Indonesia"}, {"id": "Madagascar"}, {"id": "Malaysia"}, {"id": "Mexico"}, {"id": "Micronesia"}, {"id": "Mozambique"}, {"id": "New Zealand"}, {"id": "Nigeria"}, {"id": "Palau"}, {"id": "Panama"}, {"id": "Philippines"}, {"id": "Saudi Arabia"}, {"id": "Singapore"}, {"id": "South Africa"}, {"id": "Sri Lanka"}, {"id": "Taiwan"}, {"id": "Thailand"}, {"id": "United States"}, {"id": "Vietnam"}], "scheme": "Region"}], "updated": "2024-11-27T10:08:58", "type": "Dataset", "language": "eng", "title": "Global mangrove soil carbon: dataset and spatial maps", "description": "Model outputs were updated on Dec 20, 2017. This project used a machine learning data-driven model to predict the distribution of soil carbon under mangrove forests globally. Specifically this dataset contains: 1) a compilation of georeferenced and harmonized soil profile data under mangroves compiled from literature, reports and unpublished contributions 2) global mosaics of soil carbon stocks to 1m and 2m depths produced at 100 m resolution 3) tiled predictions of soil carbon stocks produced at 30 m resolution 4) shape file containing the tiling system 5) shape file containing country boundaries used for calculating national level statistics.\nFor detailed methodologies, please see the scientific paper (https://doi.org/10.1088/1748-9326/aabe1c).", "formats": [{"name": "zip"}, {"name": "WWW:LINK-1.0-http--related"}], "keywords": ["carbon", "soil profiles", "Soil science", "Australia", "Bangladesh", "Belize", "Benin", "Brazil", "Cameroon", "China", "Colombia", "Costa Rica", "Dominican Republic", "Ecuador", "Egypt", "El Salvador", "French Guiana", "Guadeloupe", "Honduras", "Hong Kong", "India", "Indonesia", "Madagascar", "Malaysia", "Mexico", "Micronesia", "Mozambique", "New Zealand", "Nigeria", "Palau", "Panama", "Philippines", "Saudi Arabia", "Singapore", "South Africa", "Sri Lanka", "Taiwan", "Thailand", "United States", "Vietnam"], "contacts": [{"name": "Jonathan Sanderman", "organization": "Woods Hole Research Centre", "position": "Associate scientist", "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "jsanderman@whrc.org"}], "addresses": [{"deliveryPoint": [null], "city": "Falmouth, Massachusetts", "administrativeArea": null, "postalCode": "MA 02540", "country": "United States of America"}], "links": [{"href": null}]}, {"name": "Tom Hengl", "organization": "ISRIC - World Soil Information", "position": "Former staff", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "None"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}], "distancevalue": "30", "distanceuom": "m"}, "links": [{"href": "https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OCYUIT", "name": "Project webpage", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://doi.org/10.1088/1748-9326/aabe1c", "name": "Scientific paper", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://files.isric.org/public/thumbnails/other/WD-Mangroves.jpg", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "31769934-038c-4873-ab14-4b6b66531103", "name": "item", "description": "31769934-038c-4873-ab14-4b6b66531103", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/31769934-038c-4873-ab14-4b6b66531103"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1969-01-01T00:00:00Z", "2015-09-01T00:00:00Z"]}}, {"id": "2164/14738", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:27:02Z", "type": "Journal Article", "created": "2020-01-20", "title": "Potential yield challenges to scale-up of zero budget natural farming", "description": "Under current trends, 60% of India's population (>10% of people on Earth) will experience severe food deficiencies by 2050. Increased production is urgently needed, but high costs and volatile prices are driving farmers into debt. Zero budget natural farming (ZBNF) is a grassroots movement that aims to improve farm viability by reducing costs. In Andhra Pradesh alone, 523,000 farmers have converted 13% of productive agricultural area to ZBNF. However, sustainability of ZBNF is questioned because external nutrient inputs are limited, which could cause a crash in food production. Here, we show that ZBNF is likely to reduce soil degradation and could provide yield benefits for low-input farmers. Nitrogen fixation, either by free-living nitrogen fixers in soil or symbiotic nitrogen fixers in legumes, is likely to provide the major portion of nitrogen available to crops. However, even with maximum potential nitrogen fixation and release, only 52-80% of the national average nitrogen applied as fertilizer is expected to be supplied. Therefore, in higher-input systems, yield penalties are likely. Since biological fixation from the atmosphere is possible only with nitrogen, ZBNF could limit the supply of other nutrients. Further research is needed in higher-input systems to ensure that mass conversion to ZBNF does not limit India's capacity to feed itself.", "keywords": ["Monitoring", "IEAS/POO2501/1", "NE/S009019/1", "330", "Supplementary Data", "QH301 Biology", "NE/P004830/1", "WHEAT", "01 natural sciences", "630", "12. Responsible consumption", "QH301", "NE/M021327/1", "SOIL PHYSICAL-PROPERTIES", "SDG 7 - Affordable and Clean Energy", "FERTILIZER", "Renewable Energy", "Wellcome Trust", "SDG 2 - Zero Hunger", "Nature and Landscape Conservation", "0105 earth and related environmental sciences", "Planning and Development", "2. Zero hunger", "Global and Planetary Change", "Geography", "Policy and Law", "Ecology", "Sustainability and the Environment", "Natural Environment Research Council (NERC)", "Sustainable and Healthy Food Systems (SHEFS)", "NE/P019455/1", "1. No poverty", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water", "Management", "NITROGEN", "Urban Studies", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "INDIA", "Economic and Social Research Council (ESRC)", "Food Science"]}, "links": [{"href": "https://www.nature.com/articles/s41893-019-0469-x.pdf"}, {"href": "https://doi.org/2164/14738"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Sustainability", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2164/14738", "name": "item", "description": "2164/14738", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2164/14738"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-20T00:00:00Z"}}, {"id": "6eba341b-79d7-4b40-bc19-14a9066f1386", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[73.5, 21.5], [73.5, 32.2], [92.2, 32.2], [92.2, 21.5], [73.5, 21.5]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil science"}], "scheme": "Stratum"}, {"concepts": [{"id": "Asia"}, {"id": "India"}, {"id": "Indo-Gangetic Plains"}], "scheme": "Region"}], "updated": "2021-07-14T11:52:11", "type": "Dataset", "language": "eng", "title": "SOTER-based soil parameter estimates (SOTWIS) for the Indo-Gangetic Plains of India", "description": "This harmonized set of soil parameter estimates for the Indo-Gangetic Plains (IGP) of India, at scale 1:1 000 000, has been derived from soil and terrain data collated in SOTER format by staff of the National Bureau of Soil Survey and Land Use Planning (NBSS and LUP) at Nagpur, India. The data set has been prepared for use in the project on \"Assessment of soil organic carbon stocks and change at ... national scale\" (GEFSOC), which has IGP-India as one of its four case study areas (see http://www.nrel.colostate.edu/projects/gefsoc-uk/). \n\nThe land surface of IGP-India has been characterized using 36 unique SOTER units, corresponding with 497 polygons. The major soils of these units have been described using 36 profiles, selected by national soil experts as being representative for these units. The associated soil analytical data have been derived from soil survey reports. \n\nGaps in the measured soil profile data have been filled using a scheme of taxotransfer rules. Parameter estimates are presented by soil unit for fixed depth intervals of 0.2 m to 1 m depth for: organic carbon, total nitrogen, pH(H2O), CECsoil, CECclay, base saturation, effective CEC, aluminum saturation, CaCO3 content, gypsum content, exchangeable sodium percentage (ESP), electrical conductivity of saturated paste (ECe), bulk density, content of sand, silt and clay, content of coarse fragments, and available water capacity(-33 to-1500 kPa). These attributes have been identified as being useful for agro-ecological zoning, land evaluation, crop growth simulation, modelling of soil carbon stocks and change, and analyses of global environmental change. \n\nThe current parameter estimates should be seen as best estimates based on the current selection of soil profiles and data clustering procedure; taxotransfer rules have been flagged to provide an indication of the confidence in the derived data.\n\nResults are presented as summary files and can be linked to the 1:1M scale SOTER map in a GIS, through the unique SOTER-unit code. \n\nThe secondary SOTER data set for IGP-India is considered appropriate for exploratory studies at regional scale (greater than1:1M); correlation of soil analytical data should be done more rigorously when more detailed scientific work is considered.", "formats": [{"name": "zip"}, {"name": "WWW:DOWNLOAD-1.0-ftp--download"}, {"name": "WWW:LINK-1.0-http--related"}], "keywords": ["calcium", "carbon", "cation exchange capacity", "electrical conductivity", "nitrogen", "organic matter", "bulk density", "soil profiles", "pH", "salinity", "texture", "water holding capacity", "nutrients", "Soil science", "Asia", "India", "Indo-Gangetic Plains"], "contacts": [{"name": "Niels Batjes", "organization": "ISRIC - World Soil Information", "position": "Senior Soil Scientist", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "niels.batjes@isric.org"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}], "denominator": "1000000"}, "links": [{"href": "https://files.isric.org/public/sotwis/SOTWIS_IGP-IN.zip", "name": "Download", "protocol": "WWW:DOWNLOAD-1.0-ftp--download", "rel": "download"}, {"href": "https://isric.org/projects/harmonized-continental-soter-derived-database-sotwis", "name": "Project webpage", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://isric.org/sites/default/files/isric_report_2004_06.pdf", "name": "Report", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://files.isric.org/public/thumbnails/sotwis/SOTWIS_IGP-IN.jpg", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "6eba341b-79d7-4b40-bc19-14a9066f1386", "name": "item", "description": "6eba341b-79d7-4b40-bc19-14a9066f1386", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/6eba341b-79d7-4b40-bc19-14a9066f1386"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1950-01-01T00:00:00Z", "2004-12-01T00:00:00Z"]}}, {"id": "062735bd-fe92-40a3-af13-2f845b0e2f25", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[64.05, 4.73], [64.05, 37.03], [91.74, 37.03], [91.74, 4.73], [64.05, 4.73]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "India"}], "scheme": "Continents, countries, sea regions of the world."}], "updated": "2022-07-19T07:56:17", "language": "eng", "title": "Evapotranspiration from precipitation (K4, Karnataka, India - Monthly - 250m)", "description": "Evapotranspiration from precipitation calculated for the Malaprabha (K4) sub-basin area. The Evapotranspiration from precipitation (etrain) is the evapotranspiration of green water, in other words the fraction of the total evapotranspiration that is due to rainfall. The calculation is based on a pixel-based soil moisture balance model. More information can be found on the IHE Delft Water Accounting report of Karnataka.", "formats": [{"name": "netCDF"}, {"name": "OGC:WMS-1.3.0-http-get-map"}], "keywords": ["Evapotranspiration from precipitation", "Rainfall Evapotranspiration", "Evapotranspiration", "Soil moisture balance model", "Water Accounting", "ADB", "Monthly", "Malaprabha sub-basin", "K4 sub-basin", "Krishna river basin", "Karnataka", "India", "India"], "contacts": [{"name": "Elga Salvadore", "organization": "IHE-Delft", "position": null, "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": "e.salvadore@un-ihe.org"}], "addresses": [{"deliveryPoint": ["Westvest 7"], "city": "Delft", "administrativeArea": null, "postalCode": "2611 AX", "country": "The Netherlands"}], "links": [{"href": null}]}, {"organization": "IHE-Delft", "roles": ["creator"]}]}, "links": [{"href": "https://io.apps.fao.org/geoserver/wms/WATER/K4_ETRAIN/v2?service=WMS&version=1.3.0&request=GetCapabilities", "name": "ETRAIN:MONTH:MONTH", "description": "Rainfall EvapoTranspiration (K4)", "protocol": "OGC:WMS-1.3.0-http-get-map", "rel": null}, {"rel": "self", "type": "application/geo+json", "title": "062735bd-fe92-40a3-af13-2f845b0e2f25", "name": "item", "description": "062735bd-fe92-40a3-af13-2f845b0e2f25", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/062735bd-fe92-40a3-af13-2f845b0e2f25"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2010-06-01T00:00:00Z", "2018-05-01T00:00:00Z"]}}, {"id": "0dd36219-902b-4771-8062-eda528a183bd", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[64.05, 4.73], [64.05, 37.03], [91.74, 37.03], [91.74, 4.73], [64.05, 4.73]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "India"}], "scheme": "Continents, countries, sea regions of the world."}], "updated": "2022-07-19T08:11:00", "language": "eng", "title": "Total Flow (K4, Karnataka, India - Monthly - 250m)", "description": "Total Flow (calculated for the Malaprabha (K4) sub-basin area.\nThe total flow (tf) is the sum of surface runoff (sro) and the base flow (bf). More information can be found on the IHE Delft Water Accounting report of Karnataka.", "formats": [{"name": "netCDF"}, {"name": "OGC:WMS-1.3.0-http-get-map"}], "keywords": ["Total Flow", "Surface runoff", "Base flow", "Water Accounting", "ADB", "Monthly", "Malaprabha sub-basin", "K4 sub-basin", "Krishna river basin", "Karnataka", "India", "India"], "contacts": [{"name": "Elga Salvadore", "organization": "IHE-Delft", "position": null, "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": "e.salvadore@un-ihe.org"}], "addresses": [{"deliveryPoint": ["Westvest 7"], "city": "Delft", "administrativeArea": null, "postalCode": "2611 AX", "country": "The Netherlands"}], "links": [{"href": null}]}, {"organization": "IHE-Delft", "roles": ["creator"]}]}, "links": [{"href": "https://io.apps.fao.org/geoserver/wms/WATER/K4_TF/v2?service=WMS&version=1.3.0&request=GetCapabilities", "name": "TFW:MONTH:MONTH", "description": "Total Flow (K4", "protocol": "OGC:WMS-1.3.0-http-get-map", "rel": null}, {"rel": "self", "type": "application/geo+json", "title": "0dd36219-902b-4771-8062-eda528a183bd", "name": "item", "description": "0dd36219-902b-4771-8062-eda528a183bd", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0dd36219-902b-4771-8062-eda528a183bd"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2010-06-01T00:00:00Z", "2018-05-01T00:00:00Z"]}}, {"id": "13903459-06c0-4db8-90e1-6c9a75f1edeb", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[64.05, 4.73], [64.05, 37.03], [91.74, 37.03], [91.74, 4.73], [64.05, 4.73]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "India"}], "scheme": "Continents, countries, sea regions of the world."}], "updated": "2022-06-13T14:50:38", "language": "eng", "title": "Percolation (K2, Karnataka, India - Monthly - 250m)", "description": "Percolation calculated for the Middle Krishna (K2) sub-basin area. The Percolation (perco) is the ammount of soil moisture in the root zone that leaks deeper contributing to groundwater recharge. The calculation of Percolation is based on a pixel-based soil moisture balance model. More information can be found on the IHE Delft Water Accounting report of Karnataka.", "formats": [{"name": "netCDF"}, {"name": "OGC:WMS-1.3.0-http-get-map"}], "keywords": ["Percolation", "Soil moisture balance model", "Water Accounting", "ADB", "Monthly", "Middle Krishna sub-basin", "K2 sub-basin", "Krishna river basin", "Karnataka", "India", "India"], "contacts": [{"name": "Elga Salvadore", "organization": "IHE-Delft", "position": null, "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": "e.salvadore@un-ihe.org"}], "addresses": [{"deliveryPoint": ["Westvest 7"], "city": "Delft", "administrativeArea": null, "postalCode": "2611 AX", "country": "The Netherlands"}], "links": [{"href": null}]}, {"organization": "IHE-Delft", "roles": ["creator"]}]}, "links": [{"href": "https://io.apps.fao.org/geoserver/wms/WATER/K2_PERCO/v2?service=WMS&version=1.3.0&request=GetCapabilities", "name": "PERCO:MONTH:MONTH", "description": "Percolation (K2)", "protocol": "OGC:WMS-1.3.0-http-get-map", "rel": null}, {"rel": "self", "type": "application/geo+json", "title": "13903459-06c0-4db8-90e1-6c9a75f1edeb", "name": "item", "description": "13903459-06c0-4db8-90e1-6c9a75f1edeb", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/13903459-06c0-4db8-90e1-6c9a75f1edeb"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2010-06-01T00:00:00Z", "2018-05-01T00:00:00Z"]}}, {"id": "1874c9ac-d3a9-4c21-ad35-27c2e75049ff", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[68.14, 6.75], [68.14, 35.51], [97.38, 35.51], [97.38, 6.75], [68.14, 6.75]]]}, "properties": {"themes": [{"concepts": [{"id": "boundaries"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}], "updated": "2012-12-10T15:51:54", "language": "eng", "title": "Madhya Pradesh (India) - Livelihoods zones for Agricultural Water Management", "description": "Livelihood zoning consists in identifying areas where rural people share relatively homogeneous living conditions, on the basis of a combination of biophysical and socio-economic determinants. The main criteria to establish livelihood zones are: the predominant source of income (livelihood activities); the natural resources available to people and the way they are used; and the prevailing agroclimatic conditions that influence farming activities. Patterns of livelihood vary from one area to another, based on local factors such as climate, soil or access to markets. The analysis delineates geographical areas within which people share similar livelihood patterns: source of living, access to food, farming practices, including crops, livestock and access to markets.\nThe map of livelihood zones is the main output from a participatory mapping workshop and forms the basis for the overall AWM assessment. It describes and geographically locates the different country livelihood contexts, focusing on the main smallholders\u00e2\u0080\u0099 livelihood strategies, their water-related problems and other constraints\nfor development, and the role agricultural water management plays for their livelihoods. 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More information can be found on the IHE Delft Water Accounting report of Karnataka.", "formats": [{"name": "netCDF"}, {"name": "OGC:WMS-1.3.0-http-get-map"}], "keywords": ["Surface runoff", "Rainfall", "Precipitation", "Water Accounting", "ADB", "Monthly", "Middle Krishna sub-basin", "K2 sub-basin", "Krishna river basin", "Karnataka", "India", "India"], "contacts": [{"name": "Elga Salvadore", "organization": "IHE-Delft", "position": null, "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": "e.salvadore@un-ihe.org"}], "addresses": [{"deliveryPoint": ["Westvest 7"], "city": "Delft", "administrativeArea": null, "postalCode": "2611 AX", "country": "The Netherlands"}], "links": [{"href": null}]}, {"organization": "IHE-Delft", "roles": ["creator"]}]}, "links": [{"href": "https://io.apps.fao.org/geoserver/wms/WATER/K2_SRO/v2?service=WMS&version=1.3.0&request=GetCapabilities", "name": "SRO:MONTH:MONTH", "description": "Surface runoff (K2)", "protocol": "OGC:WMS-1.3.0-http-get-map", "rel": null}, {"rel": "self", "type": "application/geo+json", "title": "1e14846a-85ed-4381-8f62-f56d160dfd84", "name": "item", "description": "1e14846a-85ed-4381-8f62-f56d160dfd84", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1e14846a-85ed-4381-8f62-f56d160dfd84"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2010-06-01T00:00:00Z", "2018-05-01T00:00:00Z"]}}, {"id": "1feedb4a-90e4-4edd-b105-970b1c4bf12f", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[64.05, 4.73], [64.05, 37.03], [91.74, 37.03], [91.74, 4.73], [64.05, 4.73]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [], "scheme": "Continents, countries, sea regions of the world."}], "updated": "2022-07-19T07:10:05", "language": "eng", "title": "Evaporation (K3, Karnataka, India - Monthly - 250m)", "description": "Evaporation calculated for the Ghataprabha (K3) sub-basin area. Evaporation (e) is one of the three components of the actual evapotranspiration (SSEBop global data). It is computed as the difference between the actual evapotranspiration (ET), the interception (I) and the transpiration (T). 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The calculation of soil moisture is based on a pixel-based soil moisture balance model. More information can be found on the IHE Delft Water Accounting report of Karnataka.", "formats": [{"name": "netCDF"}, {"name": "OGC:WMS-1.3.0-http-get-map"}], "keywords": ["Soil moisture", "Soil moisture balance model", "Water Accounting", "ADB", "Monthly", "Ghataprabha sub-basin", "K3 sub-basin", "Krishna river basin", "Karnataka", "India", "India"], "contacts": [{"name": "Elga Salvadore", "organization": "IHE-Delft", "position": null, "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": "e.salvadore@un-ihe.org"}], "addresses": [{"deliveryPoint": ["Westvest 7"], "city": "Delft", "administrativeArea": null, "postalCode": "2611 AX", "country": "The Netherlands"}], "links": [{"href": null}]}, {"organization": "IHE-Delft", "roles": ["creator"]}]}, "links": [{"href": "https://io.apps.fao.org/geoserver/wms/WATER/K3_SM/v2?service=WMS&version=1.3.0&request=GetCapabilities", "name": "SMO:MONTH:MONTH", "description": "Soil Moisture (K3)", "protocol": "OGC:WMS-1.3.0-http-get-map", "rel": null}, {"rel": "self", "type": "application/geo+json", "title": "2158ab2e-7f23-4b63-a64e-beb7504687cf", "name": "item", "description": "2158ab2e-7f23-4b63-a64e-beb7504687cf", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2158ab2e-7f23-4b63-a64e-beb7504687cf"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2010-06-01T00:00:00Z", "2018-05-01T00:00:00Z"]}}, {"id": "25488c3e-5593-4ab8-96de-cf30b7bf8342", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[64.05, 4.73], [64.05, 37.03], [91.74, 37.03], [91.74, 4.73], [64.05, 4.73]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "India"}], "scheme": "Continents, countries, sea regions of the world."}], "updated": "2022-07-19T07:32:15", "language": "eng", "title": "Surface Runoff (K3, Karnataka, India - Monthly - 250m)", "description": "Surface runoff calculated for the Ghataprabha (K3) sub-basin area.\nThe surface runoff (sro) is the fraction of the effective rainfall that does infiltrate into the soil and contributes to overland flow. 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The supplied water is the amount of water that is artificially or naturally supplied to a pixel generating incremental evapotranspiration and return flow. More information can be found on the IHE Delft Water Accounting report of Karnataka.", "formats": [{"name": "netCDF"}, {"name": "OGC:WMS-1.3.0-http-get-map"}], "keywords": ["Supplied water", "Natural", "Artificial", "Evapotranspiration", "Return flow", "Water Accounting", "ADB", "Monthly", "Malaprabha sub-basin", "K4 sub-basin", "Krishna river basin", "Karnataka", "India", "India"], "contacts": [{"name": "Elga Salvadore", "organization": "IHE-Delft", "position": null, "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": "e.salvadore@un-ihe.org"}], "addresses": [{"deliveryPoint": ["Westvest 7"], "city": "Delft", "administrativeArea": null, "postalCode": "2611 AX", "country": "The Netherlands"}], "links": [{"href": null}]}, {"organization": "IHE-Delft", "roles": ["creator"]}]}, "links": [{"href": "https://io.apps.fao.org/geoserver/wms/WATER/K4_SUPPLY/v2?service=WMS&version=1.3.0&request=GetCapabilities", "name": "SUPPLY:MONTH:MONTH", "description": "Supplied water (K4)", "protocol": "OGC:WMS-1.3.0-http-get-map", "rel": null}, {"rel": "self", "type": "application/geo+json", "title": "2c3d7b4a-f070-43ce-af4f-ba36b15cea18", "name": "item", "description": "2c3d7b4a-f070-43ce-af4f-ba36b15cea18", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2c3d7b4a-f070-43ce-af4f-ba36b15cea18"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2010-06-01T00:00:00Z", "2018-05-01T00:00:00Z"]}}, {"id": "2d9b3126-06eb-4b89-b5ae-01a873388325", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[64.05, 4.73], [64.05, 37.03], [91.74, 37.03], [91.74, 4.73], [64.05, 4.73]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "India"}], "scheme": "Continents, countries, sea regions of the world."}], "updated": "2022-06-13T14:22:50", "language": "eng", "title": "Base flow (K2, Karnataka, India - Monthly - 250m)", "description": "Base flow calculated for the Middle Krishna sub-basin area. \nBase flow (bf) or slow flow is the component of the total flow that is due to groudwater discharge. It mainly occurs during dry months. The calculation of base flow is based on a pixel-based soil water balance model. More information are available in the IHE Delft water accounting report of Karnataka.", "formats": [{"name": "netCDF"}, {"name": "OGC:WMS-1.3.0-http-get-map"}], "keywords": ["Base flow", "Soil water balance model", "Water Accounting", "ADB", "Monthly", "Middle Krishna sub-basin", "K2 sub-basin", "Krishna river basin", "Karnataka", "India", "India"], "contacts": [{"name": "Elga Salvadore", "organization": "IHE-Delft", "position": null, "roles": [""], "phones": [{"value": null}], "emails": [{"value": "e.salvadore@un-ihe.org"}], "addresses": [{"deliveryPoint": ["Westvest 7"], "city": "Delft", "administrativeArea": null, "postalCode": "2611 AX", "country": "The Netherlands"}], "links": [{"href": null}]}]}, "links": [{"href": "https://io.apps.fao.org/geoserver/wms/WATER/K2_BF/v2?service=WMS&version=1.3.0&request=GetCapabilities", "name": "BFW:MONTH:MONTH", "description": "Base Flow (K2)", "protocol": "OGC:WMS-1.3.0-http-get-map", "rel": null}, {"rel": "self", "type": "application/geo+json", "title": "2d9b3126-06eb-4b89-b5ae-01a873388325", "name": "item", "description": "2d9b3126-06eb-4b89-b5ae-01a873388325", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2d9b3126-06eb-4b89-b5ae-01a873388325"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2010-05-01T00:00:00Z", "2018-05-01T00:00:00Z"]}}, {"id": "39080483-1294-4b73-8f50-0516f336a7d4", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[64.05, 4.73], [64.05, 37.03], [91.74, 37.03], [91.74, 4.73], [64.05, 4.73]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "India"}], "scheme": "Continents, countries, sea regions of the world."}], "updated": "2022-07-19T07:15:17", "language": "eng", "title": "Supplied water (K3, Karnataka, India - Monthly - 250m)", "description": "Supplied water calculated for the Ghataprabha (K3) sub-basin area. The supplied water is the amount of water that is artificially or naturally supplied to a pixel generating incremental evapotranspiration and return flow. 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The actual Evapotranspiration (ETa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given month. The data is derived from SSEBop ET product (Senay et al. (2013), doi:10.1111/jawr.12057).", "formats": [{"name": "netCDF"}, {"name": "OGC:WMS-1.3.0-http-get-map"}], "keywords": ["actual evapotranspiration", "ETa", "Water Accounting", "ADB", "Monthly", "Middle Krishna sub-basin", "K2 sub-basin", "Krishna river basin", "Karnataka", "India"], "contacts": [{"name": "Elga Salvadore", "organization": "IHE-Delft", "position": null, "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": "e.salvadore@un-ihe.org"}], "addresses": [{"deliveryPoint": ["Westvest 7"], "city": "Delft", "administrativeArea": null, "postalCode": "2611 AX", "country": "The Netherlands"}], "links": [{"href": null}]}, {"organization": "IHE-Delft", "roles": ["creator"]}]}, "links": [{"href": "https://io.apps.fao.org/geoserver/wms/WATER/K2_ET/v2?service=WMS&version=1.3.0&request=GetCapabilities", "name": "AET:MONTH:MONTH", "description": "Actual EvapoTranspiration (K2", "protocol": "OGC:WMS-1.3.0-http-get-map", "rel": null}, {"rel": "self", "type": "application/geo+json", "title": "4631cb7c-001c-4924-9df7-6c379da8c0e2", "name": "item", "description": "4631cb7c-001c-4924-9df7-6c379da8c0e2", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/4631cb7c-001c-4924-9df7-6c379da8c0e2"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2010-06-01T00:00:00Z", "2018-05-01T00:00:00Z"]}}, {"id": "ffa9e8a3-d039-4cce-922b-6d11db6c5256", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[68.14, 6.74], [68.14, 35.5], [97.38, 35.5], [97.38, 6.74], [68.14, 6.74]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}], "updated": "2011-12-20T17:44:31", "language": "eng", "title": "Soil Map of India", "description": "Soil Map of India", "formats": [{"name": "WWW:DOWNLOAD-1.0-http--download"}], "keywords": ["Soil", "Soil Classification", "India"], "contacts": [{"name": null, "organization": null, "position": null, "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": null}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": null, "organization": "FAO - UN AGL Documentation Center", "position": null, "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "AGL-Documentation-Centre@fao.org"}], "addresses": [{"deliveryPoint": ["Via delle Terme di Caracalla"], "city": "Rome", "administrativeArea": null, "postalCode": "00100", "country": "Italy"}], "links": [{"href": null}]}], "denominator": "8000000"}, "links": [{"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/ffa9e8a3-d039-4cce-922b-6d11db6c5256/resources/india-1962-soil_map_of_india-soils5-1-8,000,000.jpg", "name": "india-1962-soil_map_of_india-soils5-1-8,000,000.jpg", "protocol": "WWW:DOWNLOAD-1.0-http--download", "rel": null}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/ffa9e8a3-d039-4cce-922b-6d11db6c5256/thumbnail/india-1962-soil_map_of_india-soils5-1-8000000_800px_s.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/ffa9e8a3-d039-4cce-922b-6d11db6c5256/large_thumbnail/india-1962-soil_map_of_india-soils5-1-8000000_800px.jpg", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "ffa9e8a3-d039-4cce-922b-6d11db6c5256", "name": "item", "description": "ffa9e8a3-d039-4cce-922b-6d11db6c5256", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/ffa9e8a3-d039-4cce-922b-6d11db6c5256"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date-time": "2011-12-20T17:44:31Z"}}, {"id": "541d36ab-cd77-4e6d-bb7a-61b761acda02", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[64.05, 4.73], [64.05, 37.03], [91.74, 37.03], [91.74, 4.73], [64.05, 4.73]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "India"}], "scheme": "Continents, countries, sea regions of the world."}], "updated": "2022-06-13T14:53:16", "language": "eng", "title": "Evaporation (K2, Karnataka, India - Monthly - 250m)", "description": "Evaporation calculated for the Middle Krishna (K2) sub-basin area. Evaporation (e) is one of the three components of the actual evapotranspiration (SSEBop global data). It is computed as the difference between the actual evapotranspiration (ET), the interception (I) and the transpiration (T). 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It mainly occurs during dry months. The calculation of base flow is based on a pixel-based soil water balance model. More information are available in the IHE Delft water accounting report of Karnataka.", "formats": [{"name": "netCDF"}, {"name": "OGC:WMS-1.3.0-http-get-map"}], "keywords": ["Base flow", "Soil water balance model", "Water Accounting", "ADB", "Monthly", "Malaprabha sub-basin", "K4 sub-basin", "Krishna river basin", "Karnataka", "India"], "contacts": [{"name": "Elga Salvadore", "organization": "IHE-Delft", "position": null, "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": "e.salvadore@un-ihe.org"}], "addresses": [{"deliveryPoint": ["Westvest 7"], "city": "Delft", "administrativeArea": null, "postalCode": "2611 AX", "country": "The Netherlands"}], "links": [{"href": null}]}, {"organization": "IHE-Delft", "roles": ["creator"]}]}, "links": [{"href": "https://io.apps.fao.org/geoserver/wms/WATER/K4_BF/v2?service=WMS&version=1.3.0&request=GetCapabilities", "name": "BFW:MONTH:MONTH", "description": "Base Flow (K4)", "protocol": "OGC:WMS-1.3.0-http-get-map", "rel": null}, {"rel": "self", "type": "application/geo+json", "title": "602772dd-0112-494e-b49f-54973d99e700", "name": "item", "description": "602772dd-0112-494e-b49f-54973d99e700", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/602772dd-0112-494e-b49f-54973d99e700"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2010-06-01T00:00:00Z", "2018-05-01T00:00:00Z"]}}, {"id": "684aa31b-375b-45e1-837f-334af42fc0e5", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[64.05, 4.73], [64.05, 37.03], [91.74, 37.03], [91.74, 4.73], [64.05, 4.73]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "India"}], "scheme": "Continents, countries, sea regions of the world."}], "updated": "2022-07-19T07:55:23", "language": "eng", "title": "Saturated Soil Water Content (K4, Karnataka, India)", "description": "Saturated soil water content calculated over the Malaprabha (K4) sub-basin area. The dataset is derived from the High Resolution Soil Map of Hydraulic Properties (HiHydroSoils v1.0).", "formats": [{"name": "GeoTIFF"}, {"name": "OGC:WMS-1.3.0-http-get-map"}], "keywords": ["Soil moisture", "Water Accounting", "ADB", "Malaprabha sub-basin", "K4 sub-basin", "Krishna river basin", "Karnataka", "India", "India"], "contacts": [{"name": "Elga Salvadore", "organization": "IHE-Delft", "position": null, "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": "e.salvadore@un-ihe.org"}], "addresses": [{"deliveryPoint": ["Westvest 7"], "city": "Delft", "administrativeArea": null, "postalCode": "2611 AX", "country": "The Netherlands"}], "links": [{"href": null}]}, {"organization": "IHE-Delft", "roles": ["creator"]}]}, "links": [{"href": "https://data.apps.fao.org/map/gsrv/gsrv1/adb/wms", "name": "k4_smsat_hihydrosoils", "description": "Saturated Soil Water Content (K4)", "protocol": "OGC:WMS-1.3.0-http-get-map", "rel": null}, {"rel": "self", "type": "application/geo+json", "title": "684aa31b-375b-45e1-837f-334af42fc0e5", "name": "item", "description": "684aa31b-375b-45e1-837f-334af42fc0e5", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/684aa31b-375b-45e1-837f-334af42fc0e5"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date-time": "2022-07-19T07:55:23Z"}}, {"id": "760f44e8-039f-493a-805f-0af41d149151", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[64.05, 4.73], [64.05, 37.03], [91.74, 37.03], [91.74, 4.73], [64.05, 4.73]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "India"}], "scheme": "Continents, countries, sea regions of the world."}], "updated": "2022-06-13T13:56:18", "language": "eng", "title": "Evapotranspiration from precipitation (K2, Karnataka, India - Monthly - 250m)", "description": "Evapotranspiration from precipitation calculated for the Middle Krishna (K2) sub-basin area. The Evapotranspiration from precipitation (etrain) is the evapotranspiration of green water, in other words the fraction of the total evapotranspiration that is due to rainfall. The calculation is based on a pixel-based soil moisture balance model. 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The calculation of soil moisture is based on a pixel-based soil moisture balance model. 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The Percolation (perco) is the amount of soil moisture in the root zone that leaks deeper contributing to groundwater recharge. The calculation of Percolation is based on a pixel-based soil moisture balance model. 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The Percolation (perco) is the amount of soil moisture in the root zone that leaks deeper contributing to groundwater recharge. The calculation of Percolation is based on a pixel-based soil moisture balance model. 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The incremental evapotranspiration (etincr) is the evapotranspriation of blue water, in other words the incremental evapotranspiration is the fraction of the total actual evapotranspiration that is not due to rainfall. The calculation of Incremental Evapotranspiration is based on a pixel-based soil moisture balance model. 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