Annual stocks.
Each of these 13 years is 3TB when extracted. So that is 39 TB as a tif.
We needed to use file geodatabase format to compress enough to post on the Dataverse. Hence no TIffs.", "keywords": ["Earth and Environmental Sciences", "Raster", "ArcGIS file Geodatabase rasters", "Global Mangrove Carbon"], "contacts": [{"organization": "Hamilton, Stuart", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/T8CMAT"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/T8CMAT", "name": "item", "description": "10.7910/DVN/T8CMAT", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/T8CMAT"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-01-01T00:00:00Z"}}, {"id": "10.1007/s10533-023-01091-2", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:14:55Z", "type": "Journal Article", "created": "2023-10-15", "title": "Global observation gaps of peatland greenhouse gas balances: needs and obstacles", "description": "Abstract
Greenhouse gas (GHGs) emissions from peatlands contribute significantly to ongoing climate change because of human land use. To develop reliable and comprehensive estimates and predictions of GHG emissions from peatlands, it is necessary to have GHG observations, including carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O), that cover different peatland types globally. We synthesize published peatland studies with field GHG flux measurements to identify gaps in observations and suggest directions for future research. Although GHG flux measurements have been conducted at numerous sites globally, substantial gaps remain in current observations, encompassing various peatland types, regions and GHGs. Generally, there is a pressing need for additional GHG observations in Africa, Latin America and the Caribbean regions. Despite widespread measurements of CO2 and CH4, studies quantifying N2O emissions from peatlands are scarce, particularly in natural ecosystems. To expand the global coverage of peatland data, it is crucial to conduct more eddy covariance observations for long-term monitoring. Automated chambers are preferable for plot-scale observations to produce high temporal resolution data; however, traditional field campaigns with manual chamber measurements remain necessary, particularly in remote areas. To ensure that the data can be further used for modeling purposes, we suggest that chamber campaigns should be conducted at least monthly for a minimum duration of one year with no fewer than three replicates and measure key environmental variables. In addition, further studies are needed in restored peatlands, focusing on identifying the most effective restoration approaches for different ecosystem types, conditions, climates, and land use histories.Scientists have the difficult task of clearly conveying the ecological consequences of forest and wetland loss to the public. To address this challenge, we scaled the atmospheric carbon emissions arising from mangrove deforestation down to the level of an individual consumer. This type of quantification represents the \uffe2\uff80\uff9cland\uffe2\uff80\uff90use carbon footprint\uffe2\uff80\uff9d, or the amount of greenhouse gases (GHGs) generated when natural ecosystems are converted to produce commodities. On the basis of measurements of ecosystem carbon stocks from 30 relatively undisturbed mangrove forests and 21 adjacent shrimp ponds or cattle pastures, we determined that mangrove conversion results in GHG emissions ranging between 1067 and 3003 megagrams of carbon dioxide equivalent (CO2e) per hectare. There is a land\uffe2\uff80\uff90use carbon footprint of 1440 kg CO2e for every kilogram of beef and 1603 kg CO2e for every kilogram of shrimp produced on lands formerly occupied by mangroves. A typical steak and shrimp cocktail dinner would burden the atmosphere with 816 kg CO2e. This is approximately the same quantity of GHGs produced by driving a fuel\uffe2\uff80\uff90efficient automobile from Los Angeles to New York City. Failure to include deforestation in life\uffe2\uff80\uff90cycle assessments greatly underestimates the GHG emissions from food production.
", "keywords": ["13. Climate action", "mangroves", "carbon", "greenhouse gases", "emission", "carbon dioxide", "15. Life on land", "01 natural sciences", "6. Clean water", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1002/fee.1482"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Ecology%20and%20the%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/fee.1482", "name": "item", "description": "10.1002/fee.1482", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/fee.1482"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-04-10T00:00:00Z"}}, {"id": "10.1007/s10750-013-1617-3", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:15:01Z", "type": "Journal Article", "created": "2013-08-06", "title": "Vegetation And Soil Characteristics As Indicators Of Restoration Trajectories In Restored Mangroves", "description": "We investigated the restoration trajectories in vegetation and soil parameters of monospecific Rhizophora mucronata stands planted 6, 8, 10, 11, 12, 17, 18, and 50 years ago (restored system). We tested the hypothesis that the changes in vegetation characteristics, with progressing mangrove age, are related to the changes in soil characteristics. The vegetation and soil parameters were compared across this restoration sequence using a reference system comprising mature, natural mangrove stands of unknown age. Rapid increases in leaf area index and aboveground biomass, and declines in tree density and size (in terms of tree diameter and height) occurred with increasing stand age. Soil organic matter, total nitrogen, and soil redox potential increased, and soil temperature decreased as stands aged. These patterns tended to stabilize at approximately the 11th year, indicating the probable age that restoration plots tend toward forest maturity. The time for the restored systems to reach forest maturity, attaining characteristics similar to the reference system, is estimated at 25 years, which is relatively slow compared to forest regeneration trajectories estimated for natural mangroves. Our study describes the trajectory patterns for planted mangroves, which are important for the assessment of both the progress and success of mangrove rehabilitation programs.", "keywords": ["Rhizophora", "0106 biological sciences", "550", "Philippines", "Restoration", "Mangroves", "1104 Complementary and Alternative Medicine", "910", "15. Life on land", "Soil carbon", "01 natural sciences"]}, "links": [{"href": "https://doi.org/10.1007/s10750-013-1617-3"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrobiologia", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10750-013-1617-3", "name": "item", "description": "10.1007/s10750-013-1617-3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10750-013-1617-3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-08-07T00:00:00Z"}}, {"id": "10.1007/s11273-015-9453-z", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:15:17Z", "type": "Journal Article", "created": "2015-08-08", "title": "Carbon Stocks Of Mangroves And Losses Arising From Their Conversion To Cattle Pastures In The Pantanos De Centla, Mexico", "description": "The conservation of mangroves and other coastal \u201cblue carbon\u201d ecosystems is receiving heightened attention because of recognition of their high ecosystem carbon stocks as well as vast areas undergoing land conversion. However, few studies have paired intact mangroves with degraded sites to determine carbon losses due to land conversion. To address this gap we quantified total ecosystem carbon stocks in mangroves and cattle pastures formed from mangroves in the large wetland complex of the Pantanos de Centla in SE Mexico. The mean total ecosystem carbon stocks of fringe and estuarine tall mangroves was 1358\u00a0Mg\u00a0C/ha. In contrast the mean carbon stocks of cattle pastures was 458\u00a0Mg\u00a0C/ha. Based upon a biomass equivalence of losses from the top 1\u00a0m of mangrove soils, the losses in carbon stocks from mangrove conversion are conservatively estimated at 1464\u00a0Mg\u00a0CO2e/ha. These losses were 7-fold that of emissions from tropical dry forest to pasture conversion and 3-fold greater than emissions from Amazon forest to pasture conversion. However, we found that limiting ecosystem carbon stocks differences to the surface 1\u00a0m or even 2\u00a0m soil depth will miss losses that occurred from deeper horizons. Mangrove conversion to other land uses comes at a great cost in terms of greenhouse gas emissions as well losses of other important ecosystem services.", "keywords": ["0106 biological sciences", "climate change", "cattle", "13. Climate action", "carbon", "mangroves", "emission", "land use", "15. Life on land", "carbon sequestration", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1007/s11273-015-9453-z"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Wetlands%20Ecology%20and%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s11273-015-9453-z", "name": "item", "description": "10.1007/s11273-015-9453-z", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s11273-015-9453-z"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-08-09T00:00:00Z"}}, {"id": "10.1007/s11769-018-0939-5", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:15:23Z", "type": "Journal Article", "created": "2018-03-13", "title": "Effect Of Wetland Reclamation On Soil Organic Carbon Stability In Peat Mire Soil Around Xingkai Lake In Northeast China", "description": "Closed AccessLa teneur et la densit\u00e9 du carbone organique du sol (COS) et des fractions de COS labiles et stables dans le sol de tourbi\u00e8re dans les zones humides, les champs de soja et les rizi\u00e8res r\u00e9cup\u00e9r\u00e9es dans les zones humides autour du lac Xingkai dans le nord-est de la Chine ont \u00e9t\u00e9 \u00e9tudi\u00e9es. Des \u00e9tudes ont \u00e9t\u00e9 con\u00e7ues pour \u00e9tudier l'impact de la remise en \u00e9tat des zones humides pour la culture du soja et du riz sur la stabilit\u00e9 du SOC. Apr\u00e8s la r\u00e9g\u00e9n\u00e9ration, la teneur en COS et la densit\u00e9 dans la couche sup\u00e9rieure du sol de 0 \u00e0 30 cm ont diminu\u00e9, et la teneur en COS et la densit\u00e9 dans le champ de soja \u00e9taient plus \u00e9lev\u00e9es que dans le champ de riz. La teneur et la densit\u00e9 des fractions de COS labiles ont \u00e9galement diminu\u00e9, et la densit\u00e9 des fractions de COS labiles et leurs rapports avec le COS dans les champs de soja \u00e9taient inf\u00e9rieurs \u00e0 ceux observ\u00e9s dans les champs de paddy. Dans la couche de sol de 0 \u00e0 30 cm, les densit\u00e9s des fractions de COS labiles, \u00e0 savoir le carbone organique dissous (COD), le carbone de biomasse microbienne (MBC), le carbone facilement oxyd\u00e9 (roc) et le carbone facilement min\u00e9ralis\u00e9 (RMC), dans les champs de soja et de riz, se sont toutes r\u00e9v\u00e9l\u00e9es inf\u00e9rieures \u00e0 celles des zones humides de 34,00\u00a0% et 13,83\u00a0%, 51,74\u00a0% et 35,13\u00a0%, 62,24\u00a0% et 59,00\u00a0%, et 64,24\u00a0% et 17,86\u00a0%, respectivement. Apr\u00e8s la r\u00e9cup\u00e9ration, la densit\u00e9 de COS des micro-agr\u00e9gats (< 0,25 mm) en tant que fraction de COS stable et son rapport avec le COS dans les couches de sol de 0\u20135, 5\u201310, 10\u201320 et 20\u201330 cm ont augment\u00e9. La densit\u00e9 de COS des micro-agr\u00e9gats dans la couche de sol de 0 \u00e0 30 cm dans les champs de soja \u00e9tait de 50,83\u00a0% sup\u00e9rieure \u00e0 celle des rizi\u00e8res. En raison de la r\u00e9cup\u00e9ration, la densit\u00e9 de COS et la densit\u00e9 de fraction de COS labile ont diminu\u00e9, mais apr\u00e8s la r\u00e9cup\u00e9ration, la plupart des COS ont \u00e9t\u00e9 stock\u00e9s sous une forme plus complexe et stable. La culture du soja est plus respectueuse de la r\u00e9sidence durable du COS dans les sols que la riziculture.", "keywords": ["Soil Science", "Carbon Dynamics in Peatland Ecosystems", "01 natural sciences", "Environmental science", "Agricultural and Biological Sciences", "Importance of Mangrove Ecosystems in Coastal Protection", "Soil water", "Paddy field", "Soil Carbon Sequestration", "Biology", "0105 earth and related environmental sciences", "Soil science", "2. Zero hunger", "Soil Fertility", "Ecology", "Peat", "Total organic carbon", "Life Sciences", "Land reclamation", "04 agricultural and veterinary sciences", "15. Life on land", "Soil carbon", "Bulk density", "Agronomy", "6. Clean water", "Chemistry", "Wetland Restoration", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Wetland", "Environmental chemistry", "0401 agriculture", " forestry", " and fisheries", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems"], "contacts": [{"organization": "Lili Huo, Yuanchun Zou, Xianguo Lyu, Zhongsheng Zhang, Xuehong Wang, Yingli An,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1007/s11769-018-0939-5"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Chinese%20Geographical%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s11769-018-0939-5", "name": "item", "description": "10.1007/s11769-018-0939-5", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s11769-018-0939-5"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-03-13T00:00:00Z"}}, {"id": "10.1007/s42832-022-0157-z", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:15:28Z", "type": "Journal Article", "created": "2022-12-29", "title": "Trade-off between microbial carbon use efficiency and specific nutrient-acquiring extracellular enzyme activities under reduced oxygen", "description": "\u2022 Reduced oxygen increased microbial metabolic quotient (qCO2).Mangroves are recognized to possess a variety of ecosystem services including high rates of carbon sequestration and storage. Deforestation and conversion of these ecosystems continue to be high and have been predicted to result in significant carbon emissions to the atmosphere. Yet few studies have quantified the carbon stocks or losses associated with conversion of these ecosystems. In this study we quantified the ecosystem carbon stocks of three common mangrove types of the Caribbean as well as those of abandoned shrimp ponds in areas formerly occupied by mangrove\uffe2\uff80\uff94a common land\uffe2\uff80\uff90use conversion of mangroves throughout the world. In the mangroves of the Montecristi Province in Northwest Dominican Republic we found C stocks ranged from 706 to 1131 Mg/ha. The medium\uffe2\uff80\uff90statured mangroves (3\uffe2\uff80\uff9310 m in height) had the highest C stocks while the tall (>10 m) mangroves had the lowest ecosystem carbon storage. Carbon stocks of the low mangrove (shrub) type (<3 m) were relatively high due to the presence of carbon\uffe2\uff80\uff90rich soils as deep as 2 m. Carbon stocks of abandoned shrimp ponds were 95 Mg/ha or \uffe2\uff88\uffbc11% that of the mangroves. Using a stock\uffe2\uff80\uff90change approach, the potential emissions from the conversion of mangroves to shrimp ponds ranged from 2244 to 3799 Mg CO2e/ha (CO2 equivalents). This is among the largest measured C emissions from land use in the tropics. The 6260 ha of mangroves and converted mangroves in the Montecristi Province are estimated to contain 3\uffe2\uff80\uff8a841\uffe2\uff80\uff8a490 Mg of C. Mangroves represented 76% of this area but currently store 97% of the carbon in this coastal wetland (3\uffe2\uff80\uff8a696\uffe2\uff80\uff8a722 Mg C). Converted lands store only 4% of the total ecosystem C (144\uffe2\uff80\uff8a778 Mg C) while they comprised 24% of the area. By these metrics the replacement of mangroves with shrimp and salt ponds has resulted in estimated emissions from this region totaling 3.8 million Mg CO2e or \uffe2\uff88\uffbc21% of the total C prior to conversion. Given the high C stocks of mangroves, the high emissions from their conversion, and the other important functions and services they provide, their inclusion in climate\uffe2\uff80\uff90change mitigation strategies is warranted.
", "keywords": ["0106 biological sciences", "Conservation of Natural Resources", "carbon", "mangroves", "Climate Change", "Dominican Republic", "land use", "Water", "15. Life on land", "01 natural sciences", "Carbon", "mitigation", "Soil", "climate change", "13. Climate action", "Wetlands", "emission", "Rhizophoraceae", "Avicennia", "Environmental Monitoring", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Kauffman, J.B., Heider, C., Norfolk, J., Payton, F.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1890/13-0640.1"}, {"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": "10.1890/13-0640.1", "name": "item", "description": "10.1890/13-0640.1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1890/13-0640.1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-04-01T00:00:00Z"}}, {"id": "10.1016/j.foreco.2018.09.028", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:16:35Z", "type": "Journal Article", "created": "2018-09-28", "title": "Modelling Above Ground Biomass Accumulation Of Mangrove Plantations In Vietnam", "description": "Abstract In many tropical nations, mangrove forests are essential ecosystems for climate change mitigation and adaptation in coastal regions as they provide important forest resources as well as a suite of other benefits to communities including carbon sequestration. Empirical growth and yield modelling methods derived from terrestrial forestry, which are often robust with respect to forestry forecasting and management, have not often been assessed in mangrove forests yet they are important for underpinning sustainable forest management. We surveyed 89 Rhizophora apiculata mangrove plantations with age ranges from 4 to 26\u202fyear old in Vietnam, destructively harvesting 25 trees for biomass measurements and 70 for stem analyses, to assess increments in biomass and standing timber. Systems of equations were developed to model site index, mean diameter, dominant height, stocking, biomass and timber volume. We found that conventional forest growth modelling methods fitted the observed data well. Similar to terrestrial forests, stand height is a good indicator of site productivity. Mean errors for stand volume and biomass estimated from yield tables were both less than 5.3%. The root mean square error (RMSE) of the biomass model was 12 and RMSE of the volume model was 10.8, suggesting that these methods are applicable to evenly aged monoculture mangrove plantations in Vietnam. Our research also indicated high variation in mean annual increment of biomass (MAI) in the surveyed plantations due to a wide range of age and site conditions. Some R. apiculata plantations in Vietnam can reach a peak aboveground biomass MAI of 22.7\u202fMg\u202fha\u22121 year\u22121, which is among the highest of published values from plantations of the same species worldwide. Further studies addressing the application of terrestrial forest growth methods to mangrove systems are suggested in order to develop reliable and useful tools for sustainable management of this important ecosystem.", "keywords": ["0106 biological sciences", "Monitoring", "Policy and Law", "Rhizophora apiculata plantation", "1107 Forestry", "Growth and yield modelling", "15. Life on land", "01 natural sciences", "333", "2309 Nature and Landscape Conservation", "12. Responsible consumption", "13. Climate action", "2308 Management", "Biomass", "Mangrove", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.foreco.2018.09.028"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Forest%20Ecology%20and%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.foreco.2018.09.028", "name": "item", "description": "10.1016/j.foreco.2018.09.028", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.foreco.2018.09.028"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.1016/j.foreco.2018.08.047", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:16:35Z", "type": "Journal Article", "created": "2018-09-12", "title": "Carbon Dynamics And Land Use Carbon Footprints In Mangrove-Converted Aquaculture: The Case Of The Mahakam Delta, Indonesia", "description": "Abstract Mangroves provide a number of important ecosystem services to humanity but their persistence is threatened from deforestation, conversion, and climate change. The Mahakam Delta was once among the largest mangrove forests in Southeast Asia comprising 2% of Indonesia\u2019s total mangroves. Currently, about 62% of this extensive mangrove in the Mahakam Delta has been lost mainly due to conversion into aquaculture. To understand the impacts of mangrove conversion on carbon losses and therefore their values in climate change mitigation, we sampled 10 intact mangroves and 10 abandoned shrimp ponds to quantify: (1) the total ecosystem carbon stocks; (2) potential CO2 emissions arising from mangrove conversion to shrimp ponds; and (3) the land use carbon footprints of shrimp production. The mean ecosystem carbon stocks in shrimp ponds (499\u202f\u00b1\u202f56\u202fMg\u202fC\u202fha\u22121) was less than half of the relatively intact mangroves (1023\u202f\u00b1\u202f87\u202fMg\u202fC\u202fha\u22121). This equates to a potential annual emission factor over 16\u202fyears following mangrove conversion of 120\u202fMg\u202fCO2e\u202fha\u22121\u202fyr\u22121, which is similar with the total carbon loss from land conversion in freshwater tropical peat swamp forests. Inclusion of C losses from land use/cover change in a life cycle analysis (i.e., the land use carbon footprint) resulted in an estimated 2250\u202fkg CO2-e emitted for every kg of shrimp produced in mangrove-converted ponds. Conversion of mangroves to shrimp ponds in the Mahakam Delta resulted in a carbon loss equivalent to 226 years of soil carbon accumulation in natural mangroves. Conservation of mangroves are of great value for inclusion in climate change mitigation strategies because of their large carbon stocks, the large carbon emissions generated from land use, and the potentially long period of time required to recover carbon stocks following abandonment.", "keywords": ["climate change", "aquaculture", "13. Climate action", "carbon", "mangroves", "land use", "14. Life underwater", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.foreco.2018.08.047"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Forest%20Ecology%20and%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.foreco.2018.08.047", "name": "item", "description": "10.1016/j.foreco.2018.08.047", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.foreco.2018.08.047"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.1016/j.geoderma.2017.01.025", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:16:42Z", "type": "Journal Article", "created": "2017-02-09", "title": "Soil C Quantities Of Mangrove Forests, Their Competing Land Uses, And Their Spatial Distribution In The Coast Of Honda Bay, Philippines", "description": "Mangrove forests provide many ecosystem goods and services and they contain large amount of carbon (C) especially in their soil. Yet, their global area is still declining owing to conversion to non-forest land uses. While studies have been conducted on mangrove soil C stocks, our knowledge on how C stocks of mangrove forests compare with those of non-forest land uses that replaced them is still limited. This knowledge is crucial in land use planning and decision-making in the coastal zone. Site-scale mapping and assessments of mangrove soil C stocks and the land uses that replaced them are also limited. The aim of this study was to quantify and compare the soil C stocks in mangrove forests and their competing non-forest land uses (represented by aquaculture pond, coconut plantation, salt pond and cleared mangrove), estimate soil C loss arising from conversion, and model the soil C stock distribution in the entire study site. On the average, the soil C stock of mangrove forests was 851.9 \u00b1 87 MgC ha\u2212 1 while that of their non-forest competing land uses was less than half at 365.1 \u00b1 31 MgC ha\u2212 1. Closed canopy mangrove was highest at 1040 \u00b1 104 MgC ha\u2212 1, followed by open canopy mangrove (640 \u00b1 131 MgC ha\u2212 1) while aquaculture, salt pond and cleared mangrove had comparable C stocks (454 \u00b1 32, 401 \u00b1 9, 413 \u00b1 25 MgC ha\u2212 1, respectively) and coconut plantation had the least (42 \u00b1 0.7 MgC ha\u2212 1). Overall, the reduction in soil C stock (soil C loss) due to land use conversion in mangrove ranged from 398 to 809 MgC ha\u2212 1 (mean: 486.8 MgC ha\u2212 1) or a decline of 57% in soil C stock, on the average. It was possible to model the site-scale spatial distribution of soil C stocks and predict their values with 85% overall certainty using the Ordinary Kriging approach. Results from this study could help inform current discussions on Blue Carbon and REDD + as well as policy and program development that advance research on soil C conservation and ecosystem services in coastal forested wetlands.", "keywords": ["580", "c stock", "mangrove", "spatial modelling", "570", "aquaculture", "blue carbon", "Philippines", "14. Life underwater", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.geoderma.2017.01.025"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.geoderma.2017.01.025", "name": "item", "description": "10.1016/j.geoderma.2017.01.025", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2017.01.025"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-05-01T00:00:00Z"}}, {"id": "10.1016/j.isprsjprs.2017.10.016", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:16:46Z", "type": "Journal Article", "created": "2017-11-06", "title": "Estimation And Mapping Of Above-Ground Biomass Of Mangrove Forests And Their Replacement Land Uses In The Philippines Using Sentinel Imagery", "description": "Abstract The recent launch of the Sentinel-1 (SAR) and Sentinel-2 (multispectral) missions offers a new opportunity for land-based biomass mapping and monitoring especially in the tropics where deforestation is highest. Yet, unlike in agriculture and inland land uses, the use of Sentinel imagery has not been evaluated for biomass retrieval in mangrove forest and the non-forest land uses that replaced mangroves. In this study, we evaluated the ability of Sentinel imagery for the retrieval and predictive mapping of above-ground biomass of mangroves and their replacement land uses. We used Sentinel SAR and multispectral imagery to develop biomass prediction models through the conventional linear regression and novel Machine Learning algorithms. We developed models each from SAR raw polarisation backscatter data, multispectral bands, vegetation indices, and canopy biophysical variables. The results show that the model based on biophysical variable Leaf Area Index (LAI) derived from Sentinel-2 was more accurate in predicting the overall above-ground biomass. In contrast, the model which utilised optical bands had the lowest accuracy. However, the SAR-based model was more accurate in predicting the biomass in the usually deficient to low vegetation cover non-forest replacement land uses such as abandoned aquaculture pond, cleared mangrove and abandoned salt pond. These models had 0.82\u20130.83 correlation/agreement of observed and predicted value, and root mean square error of 27.8\u201328.5\u202fMg\u202fha \u22121 . Among the Sentinel-2 multispectral bands, the red and red edge bands (bands 4, 5 and 7), combined with elevation data, were the best variable set combination for biomass prediction. The red edge-based Inverted Red-Edge Chlorophyll Index had the highest prediction accuracy among the vegetation indices. Overall, Sentinel-1 SAR and Sentinel-2 multispectral imagery can provide satisfactory results in the retrieval and predictive mapping of the above-ground biomass of mangroves and the replacement non-forest land uses, especially with the inclusion of elevation data. The study demonstrates encouraging results in biomass mapping of mangroves and other coastal land uses in the tropics using the freely accessible and relatively high-resolution Sentinel imagery.", "keywords": ["land use change", "580", "sentinel imagery", "mangrove", "biomass", "550", "Philippines", "0211 other engineering and technologies", "04 agricultural and veterinary sciences", "02 engineering and technology", "15. Life on land", "biomass mapping", "13. Climate action", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "https://doi.org/10.1016/j.isprsjprs.2017.10.016"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/ISPRS%20Journal%20of%20Photogrammetry%20and%20Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.isprsjprs.2017.10.016", "name": "item", "description": "10.1016/j.isprsjprs.2017.10.016", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.isprsjprs.2017.10.016"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-12-01T00:00:00Z"}}, {"id": "10.1016/j.soilbio.2014.11.003", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:17:22Z", "type": "Journal Article", "created": "2014-11-17", "title": "Short- And Long-Term Effects Of Nutrient Enrichment On Microbial Exoenzyme Activity In Mangrove Peat", "description": "Abstract Mangroves receive increasing quantities of nutrients as a result of coastal development, which could lead to significant changes in carbon sequestration and soil subsidence. We hypothesised that mangrove-produced tannins induce a nitrogen (N) limitation on microbial decomposition even when plant growth is limited by phosphorus (P). As a result, increased N influx would lead to a net loss of sequestered carbon negating the ability to compensate for sea level rise in P-limited mangroves. To examine this, we quantified the short- and long-term effects of N and P enrichment on microbial biomass and decomposition-related enzyme activities in a Rhizophora mangle-dominated mangrove, which had been subjected to fertilisation treatments for a period of fifteen years. We compared microbial biomass, elemental stoichiometry and potential enzyme activity in dwarf and fringe-type R. mangle-dominated sites, where primary production is limited by P or N depending on the proximity to open water. Even in P-limited mangroves, microbial activity was N-limited as indicated by stoichiometry and an increase in enzymic activity upon N amendment. Nevertheless, microbial biomass increased upon field additions of P, indicating that the carbon supply played even a larger role. Furthermore, we found that P amendment suppressed phenol oxidase activity, while N amendment did not. The possible differential nutrient limitations of microbial decomposers versus primary producers implies that the direction of the effect of eutrophication on carbon sequestration is nutrient-specific. In addition, this study shows that phenol oxidase activities in this system decrease through P, possibly strengthening the enzymic latch effect of mangrove tannins. Furthermore, it is argued that the often used division between N-harvesting, P-harvesting, and carbon-harvesting exoenzymes needs to be reconsidered.", "keywords": ["Rhizophora", "Decomposition", "Peat", "Differential nutrient limitation", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "Microbial activity", "Microbial elemental stoichiometry", "13. Climate action", "international", "Taverne", "11. Sustainability", "Mangroves", "0401 agriculture", " forestry", " and fisheries", "SDG 14 - Life Below Water", "SOC", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.soilbio.2014.11.003"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Biology%20and%20Biochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.soilbio.2014.11.003", "name": "item", "description": "10.1016/j.soilbio.2014.11.003", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.soilbio.2014.11.003"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-02-01T00:00:00Z"}}, {"id": "10.1029/2021gb007285", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:18:05Z", "type": "Journal Article", "created": "2022-06-07", "title": "Differential Responses of Soil Extracellular Enzyme Activities to Salinization: Implications for Soil Carbon Cycling in Tidal Wetlands", "description": "AbstractRising sea levels are expected to cause salinization in many historically low\uffe2\uff80\uff90salinity tidal wetlands. However, the response of soil extracellular enzyme activities to salinization in tidal wetlands and their links to soil organic carbon (SOC) decomposition are largely unknown. Here, we conducted a global meta\uffe2\uff80\uff90analysis to examine the effect of salinization on hydrolytic and oxidative carbon\uffe2\uff80\uff90acquiring enzyme activities and their relationships with SOC storage in tidal wetlands. The results showed that salinization reduced hydrolytic carbon\uffe2\uff80\uff90acquiring enzyme activities by 33% but increased oxidative carbon\uffe2\uff80\uff90acquiring enzyme activities by 15%. Meanwhile, salinization decreased SOC storage by 14%, and the change in SOC storage was negatively associated with oxidative carbon\uffe2\uff80\uff90acquiring enzyme activities. These results indicate an important role for oxidative carbon\uffe2\uff80\uff90acquiring enzymes in SOC loss in tidal wetlands. Moreover, the effect of salinization on oxidative carbon\uffe2\uff80\uff90acquiring enzyme activities logarithmically declined with increasing salinization, implying that SOC loss was highly sensitive to even minor increases in salinity at the initial stage of salinization. Given increasing salinization over time with rising sea levels in most global tidal wetlands, our results suggest that SOC loss might be greater during early than later stages. Consequently, salinization\uffe2\uff80\uff90induced SOC loss may be overstated in the long term if extrapolations are merely based on a constant SOC loss rate determined from short\uffe2\uff80\uff90term studies. Future modeling frameworks should account for this changing sensitivity of microbially mediated SOC loss with increasing salinization over time.Rising sea levels are expected to cause salinization in many historically low\uffe2\uff80\uff90salinity tidal wetlands. However, the response of soil extracellular enzyme activities to salinization in tidal wetlands and their links to soil organic carbon (SOC) decomposition are largely unknown. Here, we conducted a global meta\uffe2\uff80\uff90analysis to examine the effect of salinization on hydrolytic and oxidative carbon\uffe2\uff80\uff90acquiring enzyme activities and their relationships with SOC storage in tidal wetlands. The results showed that salinization reduced hydrolytic carbon\uffe2\uff80\uff90acquiring enzyme activities by 33% but increased oxidative carbon\uffe2\uff80\uff90acquiring enzyme activities by 15%. Meanwhile, salinization decreased SOC storage by 14%, and the change in SOC storage was negatively associated with oxidative carbon\uffe2\uff80\uff90acquiring enzyme activities. These results indicate an important role for oxidative carbon\uffe2\uff80\uff90acquiring enzymes in SOC loss in tidal wetlands. Moreover, the effect of salinization on oxidative carbon\uffe2\uff80\uff90acquiring enzyme activities logarithmically declined with increasing salinization, implying that SOC loss was highly sensitive to even minor increases in salinity at the initial stage of salinization. Given increasing salinization over time with rising sea levels in most global tidal wetlands, our results suggest that SOC loss might be greater during early than later stages. Consequently, salinization\uffe2\uff80\uff90induced SOC loss may be overstated in the long term if extrapolations are merely based on a constant SOC loss rate determined from short\uffe2\uff80\uff90term studies. Future modeling frameworks should account for this changing sensitivity of microbially mediated SOC loss with increasing salinization over time.The tremendous reservoir of soil organic carbon (SOC) in wetlands is being threatened by water-table decline (WTD) globally. However, the SOC response to WTD remains highly uncertain. Here we examine the under-investigated role of iron (Fe) in mediating soil enzyme activity and lignin stabilization in a mesocosm WTD experiment in an alpine wetland. In contrast to the classic \uffe2\uff80\uff98enzyme latch\uffe2\uff80\uff99 theory, phenol oxidative activity is mainly controlled by ferrous iron [Fe(II)] and declines with WTD, leading to an accumulation of dissolvable aromatics and a reduced activity of hydrolytic enzyme. Furthermore, using dithionite to remove Fe oxides, we observe a significant increase of Fe-protected lignin phenols in the air-exposed soils. Fe oxidation hence acts as an \uffe2\uff80\uff98iron gate\uffe2\uff80\uff99 against the \uffe2\uff80\uff98enzyme latch\uffe2\uff80\uff99 in regulating wetland SOC dynamics under oxygen exposure. This newly recognized mechanism may be key to predicting wetland soil carbon storage with intensified WTD in a changing climate.
", "keywords": ["Composite material", "Science", "Soil Science", "Organic chemistry", "Carbon Dynamics in Peatland Ecosystems", "01 natural sciences", "Article", "Environmental science", "Agricultural and Biological Sciences", "Importance of Mangrove Ecosystems in Coastal Protection", "Soil water", "Carbon fibers", "Soil Carbon Sequestration", "Biology", "Groundwater", "Ecosystem", "0105 earth and related environmental sciences", "Soil science", "Ecology", "Q", "Life Sciences", "Composite number", "Geology", "Mesocosm", "FOS: Earth and related environmental sciences", "04 agricultural and veterinary sciences", "15. Life on land", "Soil carbon", "Materials science", "6. Clean water", "Water table", "Chemistry", "Geotechnical engineering", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Wetland", "Environmental chemistry", "0401 agriculture", " forestry", " and fisheries", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems", "Ferrous"]}, "links": [{"href": "https://doi.org/10.1038/ncomms15972"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Communications", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/ncomms15972", "name": "item", "description": "10.1038/ncomms15972", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/ncomms15972"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-06-26T00:00:00Z"}}, {"id": "10.1111/gcb.14774", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:19:22Z", "type": "Journal Article", "created": "2019-08-28", "title": "Effect of land-use and land-cover change on mangrove blue carbon: A systematic review", "description": "AbstractMangroves shift from carbon sinks to sources when affected by anthropogenic land\uffe2\uff80\uff90use and land\uffe2\uff80\uff90cover change (LULCC). Yet, the magnitude and temporal scale of these impacts are largely unknown. We undertook a systematic review to examine the influence of LULCC on mangrove carbon stocks and soil greenhouse gas (GHG) effluxes. A search of 478 data points from the peer\uffe2\uff80\uff90reviewed literature revealed a substantial reduction of biomass (82%\uffc2\uffa0\uffc2\uffb1\uffc2\uffa035%) and soil (54%\uffc2\uffa0\uffc2\uffb1\uffc2\uffa013%) carbon stocks due to LULCC. The relative loss depended on LULCC type, time since LULCC and geographical and climatic conditions of sites. We also observed that the loss of soil carbon stocks was linked to the decreased soil carbon content and increased soil bulk density over the first 100\uffc2\uffa0cm depth. We found no significant effect of LULCC on soil GHG effluxes. Regeneration efforts (i.e. restoration, rehabilitation and afforestation) led to biomass recovery after ~40\uffc2\uffa0years. However, we found no clear patterns of mangrove soil carbon stock re\uffe2\uff80\uff90establishment following biomass recovery. Our findings suggest that regeneration may help restore carbon stocks back to pre\uffe2\uff80\uff90disturbed levels over decadal to century time scales only, with a faster rate for biomass recovery than for soil carbon stocks. Therefore, improved mangrove ecosystem management by preventing further LULCC and promoting rehabilitation is fundamental for effective climate change mitigation policy.
", "keywords": ["0106 biological sciences", "Carbon Sequestration", "mangroves", "ecological restoration", "systematic reviews", "land use", "15. Life on land", "coastal areas", "01 natural sciences", "Carbon", "mitigation", "Soil", "climate change", "carbon sinks", "13. Climate action", "Wetlands", "emission", "Ecosystem", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1111/gcb.14774"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/gcb.14774", "name": "item", "description": "10.1111/gcb.14774", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/gcb.14774"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-08-27T00:00:00Z"}}, {"id": "10.1371/journal.pone.0125404", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:20:17Z", "type": "Journal Article", "created": "2015-05-06", "title": "The Contribution Of Mangrove Expansion To Salt Marsh Loss On The Texas Gulf Coast", "description": "Landscape-level shifts in plant species distribution and abundance can fundamentally change the ecology of an ecosystem. Such shifts are occurring within mangrove-marsh ecotones, where over the last few decades, relatively mild winters have led to mangrove expansion into areas previously occupied by salt marsh plants. On the Texas (USA) coast of the western Gulf of Mexico, most cases of mangrove expansion have been documented within specific bays or watersheds. Based on this body of relatively small-scale work and broader global patterns of mangrove expansion, we hypothesized that there has been a recent regional-level displacement of salt marshes by mangroves. We classified Landsat-5 Thematic Mapper images using artificial neural networks to quantify black mangrove (Avicennia germinans) expansion and salt marsh (Spartina alterniflora and other grass and forb species) loss over 20 years across the entire Texas coast. Between 1990 and 2010, mangrove area grew by 16.1 km(2), a 74% increase. Concurrently, salt marsh area decreased by 77.8 km(2), a 24% net loss. Only 6% of that loss was attributable to mangrove expansion; most salt marsh was lost due to conversion to tidal flats or water, likely a result of relative sea level rise. Our research confirmed that mangroves are expanding and, in some instances, displacing salt marshes at certain locations. However, this shift is not widespread when analyzed at a larger, regional level. Rather, local, relative sea level rise was indirectly implicated as another important driver causing regional-level salt marsh loss. Climate change is expected to accelerate both sea level rise and mangrove expansion; these mechanisms are likely to interact synergistically and contribute to salt marsh loss.", "keywords": ["Satellite Imagery", "0106 biological sciences", "Science", "Climate Change", "Marshes", "Poaceae", "01 natural sciences", "333", "Image Interpretation", " Computer-Assisted", "11. Sustainability", "14. Life underwater", "Mangrove swamps", "Ecosystem", "0105 earth and related environmental sciences", "Gulf of Mexico", "Artificial neural networks", "Winter", "Q", "R", "15. Life on land", "Texas", "Habitats", "13. Climate action", "Wetlands", "Medicine", "Avicennia", "Seasons", "Research Article"], "contacts": [{"organization": "Armitage, Anna R., Highfield, Wesley E., Brody, Samuel D., Louchouarn, Patrick,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1371/journal.pone.0125404"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PLOS%20ONE", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1371/journal.pone.0125404", "name": "item", "description": "10.1371/journal.pone.0125404", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1371/journal.pone.0125404"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-05-06T00:00:00Z"}}, {"id": "10.1890/15-2143", "type": "Feature", "geometry": null, "properties": {"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": "AbstractGlobally, 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.
", "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.j3tx95xk8", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:22:35Z", "type": "Dataset", "title": "Patterns and determinants of plant-derived lignin phenols in coastal wetlands: implications for organic C accumulation", "description": "unspecifiedPlease see the README document\u00a0\u00a0('Lignin_content_and_monomer_composition.csv', 'Site_location.csv', 'Soil_organic_carbon_content.csv', 'Soil_properties.csv', 'Vegetation_and_climate.csv') and the accompanying published article: Shaopan Xia, Zhaoliang Song, Weiqi Wang, Yaran Fan, Laodong Guo, Lukas Van Zwieten, Iain P. Hartley, Yin Fang, Yidong Wang, Zhenqing Zhang, Cong-Qiang Liu, and Hailong Wang. 2023. Patterns and determinants of plant-derived lignin phenols in coastal wetlands: implications for organic C accumulation. Functional Ecology. Accepted. DOI: 10.5061/dryad.j3tx95xk8", "keywords": ["lignin biomarker", "salt marsh and mangrove", "13. Climate action", "plant-soil Interactions", "blue carbon", "organic C source apportionment", "14. Life underwater", "FOS: Earth and related environmental sciences", "15. Life on land", "6. Clean water"], "contacts": [{"organization": "Song, Zhaoliang, Xia, Shaopan, Wang, Weiqi, Fan, Yaran, Guo, Laodong, Van Zwieten, Lukas, Hartley, Iain P., Fang, Yin, Wang, Yidong, Zhang, Zhenqing, Liu, Cong-Qiang, Wang, Hailong,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.j3tx95xk8"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.j3tx95xk8", "name": "item", "description": "10.5061/dryad.j3tx95xk8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.j3tx95xk8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-02-02T00:00:00Z"}}, {"id": "10.5281/zenodo.7727569", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:24:53Z", "type": "Dataset", "title": "Predicted soil organic carbon stock at 30 m in t/ha for 0-100 cm depth global / update of the map of mangrove forest soil carbon", "description": "Open Access{'references': ['Hamilton, S. E., & Casey, D. (2016). Creation of a high spatio u2010temporal resolution global database of continuous mangrove forest cover for the 21st century (CGMFC u201021). Global Ecology and Biogeography, 25(6), 729-738.', 'Murray, N. J., Worthington, T. A., Bunting, P., Duce, S., Hagger, V., Lovelock, C. E., ... & Lyons, M. B. (2022). High-resolution mapping of losses and gains of Earth's tidal wetlands. Science, 376(6594), 744-749.', 'Rovai, A. S., Twilley, R. R., Casta u00f1eda-Moya, E., Riul, P., Cifuentes-Jara, M., Manrow-Villalobos, M., ... & Pagliosa, P. R. (2018). Global controls on carbon storage in mangrove soils. Nature Climate Change, 8: 534 u2013538.', 'Sanderman, Jonathan, Tomislav Hengl, Greg Fiske, Kylen Solvik, Maria Fernanda Adame, Lisa Benson, Jacob J. Bukoski et al. (2018) 'A global map of mangrove forest soil carbon at 30 m spatial resolution. ' Environmental Research Letters, 13(5): 055002.']}", "keywords": ["machine learning", "13. Climate action", "mangroves", "14. Life underwater", "superlearner package", "15. Life on land", "soil carbon"], "contacts": [{"organization": "Hengl, Tomislav, Maxwell, Tania, Parente, Leandro,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.7727569"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.7727569", "name": "item", "description": "10.5281/zenodo.7727569", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.7727569"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-10-23T00:00:00Z"}}, {"id": "10.5281/zenodo.7729492", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:24:53Z", "type": "Dataset", "title": "Global mangrove soil carbon data set at 30 m resolution for year 2020 (0-100 cm)", "description": "Open AccessGlobal soil organic carbon stocks in mangrove forests at 30 m resolution, and predicted for 2020 using spatiotemporal ensemble machine learning. Soil organic carbon stock (t/ha) was derived using predictions of soil organic carbon content and bulk density (BD) to 1 m soil depth, which were then aggregated to calculate soil organic carbon stocks. The 'mangroves_tiles_SOC_predictions_2020.zip' file contains predictions of SOC content, Bulk Density (BD) and aggregated SOC stocks (t/ha) for 0\u2014100 cm depth interval. Example of a tile: 089E_21N (89E to 90E, 21N to 22N): sol_db.od_mangroves.typology_m_30m_s0..100cm_2020_global_v0.1.tif = predicted BD aggregated to 0\u2014100 cm; sol_soc.wpct_mangroves.typology_m_30m_s0..0cm_2020_global_v1.1.tif = predicted SOC content (%) at 0 cm depth (surface soil); sol_soc.wpct_mangroves.typology_m_30m_s0..100cm_2020_global_v1.1.tif = predicted SOC content (%) for 0\u2014100 cm; sol_soc.tha_mangroves.typology_m_30m_s0..100cm_2020_global_v0.1.tif = predicted SOC stocks in t/ha (mean value); sol_soc.tha_mangroves.typology_l.std_30m_s0..100cm_2020_global_v0.1.tif = predicted SOC stocks in t/ha lower 95% probability prediction interval; sol_soc.tha_mangroves.typology_u.std_30m_s0..100cm_2020_global_v0.1.tif = predicted SOC stocks in t/ha upper 95% probability prediction interval; Example of a tile: class : RasterLayer dimensions : 4004, 4004, 16032016 (nrow, ncol, ncell) resolution : 0.00025, 0.00025 (x, y) extent : 88.9995, 90.0005, 20.9995, 22.0005 (xmin, xmax, ymin, ymax) crs : +proj=longlat +datum=WGS84 +no_defs source : sol_db.od_mangroves.typology_m_30m_s0..0cm_2002_global_v0.1.tif To load global mosaics Soil Carbon t/ha Maps (0\u2014100cm) as COGs directly into QGIS or similar, best use: https://s3.eu-central-1.wasabisys.com/openlandmap/mangroves/sol/soc.tha_tnc.mangroves.typology_m_30m_b0..100cm_2019_2020_go_epsg.4326_v1.2.tif https://s3.eu-central-1.wasabisys.com/openlandmap/mangroves/sol/soc.tha_tnc.mangroves.typology_l.std_30m_b0..100cm_2019_2020_go_epsg.4326_v1.2.tif https://s3.eu-central-1.wasabisys.com/openlandmap/mangroves/sol/soc.tha_tnc.mangroves.typology_u.std_30m_b0..100cm_2019_2020_go_epsg.4326_v1.2.tif", "keywords": ["mangrove forests", "13. Climate action", "landsat", "coastal ecosystem", "15. Life on land", "soil carbon"], "contacts": [{"organization": "Hengl, T., Maxwell, T., Parente, L.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.7729492"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.7729492", "name": "item", "description": "10.5281/zenodo.7729492", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.7729492"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-03-13T00:00:00Z"}}, {"id": "10.6086/D1TX0T", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:25:42Z", "type": "Dataset", "title": "Mangrove sediment blue carbon estimates", "description": "Carbon accumulation in coastal wetlands is normally assessed by extracting a sediment core and estimating its carbon content and bulk density. Because carbon content and bulk density are functionally related, the latter can be estimated gravimetrically from a section of the core or, alternatively, from the carbon content in the sample using the Mixing Model equation from soil science. We analyzed the effect that the choice of corer and the method used to estimate bulk density could have on the final estimates of carbon storage in the sediments. The choice of corer did not have much influence on the final estimates of carbon density; the main factor in selecting a corer is the operational difficulties that each corer may have in different types of sediments. Because of the multiplication of errors in a product of two variables subject to random sampling error, when using gravimetric estimates of bulk density, the dispersion of the data points in the estimation of total carbon density rises rapidly as the amount of carbon in the soil increases. For this reason, the estimation of carbon densities in peaty soils with this method can be very imprecise in peaty sediments. In contrast, the estimation of total carbon density using only the carbon fraction as a predictor is very precise, especially in sediments rich in organic matter. This method, however, depends critically on an accurate estimation of the two parameters of the Mixing Model (the bulk density of pure peat and the bulk density of pure mineral sediment). If these parameters are not estimated accurately, the calculation of total carbon density can be biased.", "keywords": ["Sediment Core", "mangrove", "bulk density", "precision and accuracy", "13. Climate action", "blue carbon", "FOS: Earth and related environmental sciences", "15. Life on land"], "contacts": [{"organization": "Ezcurra, Exequiel", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.6086/D1TX0T"}, {"rel": "self", "type": "application/geo+json", "title": "10.6086/D1TX0T", "name": "item", "description": "10.6086/D1TX0T", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.6086/D1TX0T"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-12-13T00:00:00Z"}}, {"id": "10.7910/DVN/HSV1ET", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:25:46Z", "type": "Dataset", "title": "Supplemental Table 1.", "description": "Open AccessSupplemental Table 1. Stats in Excel for cross-country comparison.", "keywords": ["Earth and Environmental Sciences", "Area", "Mangrove", "GIS", "Carbon"], "contacts": [{"organization": "Hamilton, Stuart", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/HSV1ET"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/HSV1ET", "name": "item", "description": "10.7910/DVN/HSV1ET", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/HSV1ET"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/M4MWOI", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:25:46Z", "type": "Dataset", "title": "GMCSD-4. AGMB, Mangrove Cover, 1 m, 2 m, 3 m soil, 2000 \u2013 2012, 1 Arc-Second.", "description": "Open AccessMangrove forests store high densities of organic carbon, which, when coupled with high rates of deforestation, means that mangroves have the potential to contribute substantially to carbon emissions. Consequently, mangroves are strong candidates for inclusion in nationally determined contributions (NDCs) to the United Nations Framework Convention on Climate Change (UNFCCC), and payments for ecosystem services (PES) programmes that financially incentivize the conservation of forested carbon stocks. This study quantifies annual mangrove carbon stocks from 2000 to 2012 at the global, national and sub-national levels, and global carbon emissions resulting from deforestation over the same time period. Globally, mangroves stored 4.19\u2009Pg of carbon in 2012, with Indonesia, Brazil, Malaysia and Papua New Guinea accounting for more than 50% of the global stock. 2.96\u2009Pg of the global carbon stock is contained within the soil and 1.23\u2009Pg in the living biomass. Two percent of global mangrove carbon was lost between 2000 and 2012, equivalent to a maximum potential of 316,996,250\u2009t of CO2 emissions.", "keywords": ["Earth and Environmental Sciences", "CSV Table", "Global Mangrove AGMB and Soil"], "contacts": [{"organization": "Hamilton, Stuart", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/M4MWOI"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/M4MWOI", "name": "item", "description": "10.7910/DVN/M4MWOI", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/M4MWOI"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/SQI3IR", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:25:46Z", "type": "Dataset", "title": "GMCSD-1. Global Mangrove Carbon, 2000 and 2012, 1 Arc-second, 1 m soil.", "description": "Open AccessGlobal Mangrove Carbon, 2000 and 2012, 1 Arc-Second, 1 m Soil, low, mid, high, EQ1, EQ2, EQ3, EQ4, EQ5.These are large file and we needed to use file geodatabase format to compress enough to post on the Dataverse. Hence no Tiffs.", "keywords": ["Earth and Environmental Sciences", "Raster", "ArcGIS file Geodatabase rasters", "Global Mangrove Carbon"], "contacts": [{"organization": "Hamilton, Stuart", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/SQI3IR"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/SQI3IR", "name": "item", "description": "10.7910/DVN/SQI3IR", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/SQI3IR"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/UE20WE", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:25:46Z", "type": "Dataset", "title": "GMCSD-3. Global Mangrove Carbon, 2012, Country Carbon Levels, 1 m Soil", "description": "Open Access
Global Mangrove Carbon, 2012, Country Carbon Levels, 1 m Soil, mid, EQ5.
all 104 countries mangrove C stocks (t)
Value is ISO 3 digit country code
", "keywords": ["Excel Table", "Earth and Environmental Sciences", "Global Mangrove Carbon"], "contacts": [{"organization": "Hamilton, Stuart", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/UE20WE"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/UE20WE", "name": "item", "description": "10.7910/DVN/UE20WE", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/UE20WE"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/WNQBBP", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:25:47Z", "type": "Dataset", "title": "Replication Data for: Cross-validation data for Hamilton et al. North Ecuador Estuaries.", "description": "Open AccessData includes the study areas from Hamilton et al. 2007 with the AGMB processed according to the data in the Global Mangrove Carbon Stocks Database, excluding soil.", "keywords": ["Earth and Environmental Sciences", "Mangrove", "Carbon"], "contacts": [{"organization": "Hamilton, Stuart", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/WNQBBP"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/WNQBBP", "name": "item", "description": "10.7910/DVN/WNQBBP", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/WNQBBP"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-01-01T00:00:00Z"}}, {"id": "10568/135827", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:26:10Z", "type": "Journal Article", "created": "2023-10-15", "title": "Global observation gaps of peatland greenhouse gas balances: needs and obstacles", "description": "AbstractGreenhouse gas (GHGs) emissions from peatlands contribute significantly to ongoing climate change because of human land use. To develop reliable and comprehensive estimates and predictions of GHG emissions from peatlands, it is necessary to have GHG observations, including carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O), that cover different peatland types globally. We synthesize published peatland studies with field GHG flux measurements to identify gaps in observations and suggest directions for future research. Although GHG flux measurements have been conducted at numerous sites globally, substantial gaps remain in current observations, encompassing various peatland types, regions and GHGs. Generally, there is a pressing need for additional GHG observations in Africa, Latin America and the Caribbean regions. Despite widespread measurements of CO2 and CH4, studies quantifying N2O emissions from peatlands are scarce, particularly in natural ecosystems. To expand the global coverage of peatland data, it is crucial to conduct more eddy covariance observations for long-term monitoring. Automated chambers are preferable for plot-scale observations to produce high temporal resolution data; however, traditional field campaigns with manual chamber measurements remain necessary, particularly in remote areas. To ensure that the data can be further used for modeling purposes, we suggest that chamber campaigns should be conducted at least monthly for a minimum duration of one year with no fewer than three replicates and measure key environmental variables. In addition, further studies are needed in restored peatlands, focusing on identifying the most effective restoration approaches for different ecosystem types, conditions, climates, and land use histories.