{"type": "FeatureCollection", "features": [{"id": "10.5194/gmd-10-3821-2017", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:21:48Z", "type": "Journal Article", "created": "2017-10-23", "title": "ORCHILEAK (revision 3875): a new model branch to simulate carbon transfers along the terrestrial\u2013aquatic continuum of the Amazon basin", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Lateral transfer of carbon (C) from terrestrial ecosystems into the inland water network is an important component of the global C cycle, which sustains a large aquatic CO2 evasion flux fuelled by the decomposition of allochthonous C inputs. Globally, estimates of the total C exports through the terrestrial\u2013aquatic interface range from 1.5 to 2.7\u202fPg\u202fC\u202fyr\u22121 (Cole et al., 2007; Battin et al., 2009; Tranvik et al., 2009), i.e. of the order of 2\u20135\u202f% of the terrestrial NPP. Earth system models (ESMs) of the climate system ignore these lateral transfers of C, and thus likely overestimate the terrestrial C sink. In this study, we present the implementation of fluvial transport of dissolved organic carbon (DOC) and CO2 into ORCHIDEE (Organising Carbon and Hydrology in Dynamic Ecosystems), the land surface scheme of the Institut Pierre-Simon Laplace ESM. This new model branch, called ORCHILEAK, represents DOC production from canopy and soils, DOC and CO2 leaching from soils to streams, DOC decomposition, and CO2 evasion to the atmosphere during its lateral transport in rivers, as well as exchange with the soil carbon and litter stocks on floodplains and in swamps. We parameterized and validated ORCHILEAK for the Amazon basin, the world's largest river system with regard to discharge and one of the most productive ecosystems in the world. With ORCHILEAK, we are able to reproduce observed terrestrial and aquatic fluxes of DOC and CO2 in the Amazon basin, both in terms of mean values and seasonality. In addition, we are able to resolve the spatio-temporal variability in C fluxes along the canopy\u2013soil\u2013water continuum at high resolution (1\u00b0, daily) and to quantify the different terrestrial contributions to the aquatic C fluxes. We simulate that more than two-thirds of the Amazon's fluvial DOC export are contributed by the decomposition of submerged litter. Throughfall DOC fluxes from canopy to ground are about as high as the total DOC inputs to inland waters. The latter, however, are mainly sustained by litter decomposition. Decomposition of DOC and submerged plant litter contributes slightly more than half of the CO2 evasion from the water surface, while the remainder is contributed by soil respiration. Total CO2 evasion from the water surface equals about 5\u202f% of the terrestrial NPP. Our results highlight that ORCHILEAK is well suited to simulate carbon transfers along the terrestrial\u2013aquatic continuum of tropical forests. It also opens the perspective that provided parameterization, calibration and validation is performed for other biomes, the new model branch could improve the quantification of the global terrestrial C sink and help better constrain carbon cycle\u2013climate feedbacks in future projections.                     </p></article>", "keywords": ["[SDU] Sciences of the Universe [physics]", "Sciences de la terre et du cosmos", "570", "QE1-996.5", "550", "[SDU]Sciences of the Universe [physics]", "13. Climate action", "Geology", "Sciences pharmaceutiques", "15. Life on land"]}, "links": [{"href": "https://gmd.copernicus.org/articles/10/3821/2017/gmd-10-3821-2017.pdf"}, {"href": "https://dipot.ulb.ac.be/dspace/bitstream/2013/261804/4/doi_245431.pdf"}, {"href": "https://doi.org/10.5194/gmd-10-3821-2017"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscientific%20Model%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/gmd-10-3821-2017", "name": "item", "description": "10.5194/gmd-10-3821-2017", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/gmd-10-3821-2017"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-10-23T00:00:00Z"}}, {"id": "10.5194/gmd-12-3503-2019", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:21:48Z", "type": "Journal Article", "created": "2019-08-12", "title": "ORCHIDEE MICT-LEAK (r5459), a global model for the production, transport, and transformation of dissolved organic carbon from Arctic permafrost regions \u2013 Part 1: Rationale, model description, and simulation protocol", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Few Earth system models adequately represent the unique permafrost soil biogeochemistry and its respective processes; this significantly contributes to uncertainty in estimating their responses, and that of the planet at large, to warming. Likewise, the riverine component of what is known as the \u201cboundless carbon cycle\u201d is seldom recognised in Earth system modelling. The hydrological mobilisation of organic material from a \u223c1330\u20131580\u2009PgC carbon stock to the river network results in either sedimentary settling or atmospheric \u201cevasion\u201d, processes widely expected to increase with amplified Arctic climate warming. Here, the production, transport, and atmospheric release of dissolved organic carbon (DOC) from high-latitude permafrost soils into inland waters and the ocean are explicitly represented for the first time in the land surface component (ORCHIDEE) of a CMIP6 global climate model (Institut Pierre Simon Laplace \u2013 IPSL). The model, ORCHIDEE MICT-LEAK, which represents the merger of previously described ORCHIDEE versions MICT and LEAK, mechanistically represents (a)\u00a0vegetation and soil physical processes for high-latitude snow, ice, and soil phenomena and (b)\u00a0the cycling of DOC and CO2, including atmospheric evasion, along the terrestrial\u2013aquatic continuum from soils through the river network to the coast at 0.5 to 2\u2218 resolution. This paper, the first in a two-part study, presents the rationale for including these processes in a high-latitude-specific land surface model, then describes the model with a focus on novel process implementations, followed by a summary of the model configuration and simulation protocol. The results of these simulation runs, conducted for the Lena River basin, are evaluated against observational data in the second part of this study.                     </p></article>", "keywords": ["QE1-996.5", "550", "Geology", "15. Life on land", "551", "01 natural sciences", "6. Clean water", "Sciences de la terre et du cosmos", "[SDU.STU.GC]Sciences of the Universe [physics]/Earth Sciences/Geochemistry", "13. Climate action", "[SDU.STU.GC] Sciences of the Universe [physics]/Earth Sciences/Geochemistry", "[SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology", "Sciences pharmaceutiques", "[SDU.STU.GL] Sciences of the Universe [physics]/Earth Sciences/Glaciology", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://dipot.ulb.ac.be/dspace/bitstream/2013/292778/1/doi_276405.pdf"}, {"href": "https://doi.org/10.5194/gmd-12-3503-2019"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscientific%20Model%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/gmd-12-3503-2019", "name": "item", "description": "10.5194/gmd-12-3503-2019", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/gmd-12-3503-2019"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-03-25T00:00:00Z"}}, {"id": "10.5194/gmd-11-937-2018", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:21:48Z", "type": "Journal Article", "created": "2018-03-15", "title": "ORCHIDEE-SOM: modeling soil organic carbon (SOC) and dissolved organic carbon (DOC) dynamics along vertical soil profiles in Europe", "description": "<p>Abstract. Current land surface models (LSMs) typically represent soils in a\uffc2\uffa0very simplistic way, assuming soil organic carbon (SOC) as a\uffc2\uffa0bulk, and thus impeding a\uffc2\uffa0correct representation of deep soil carbon dynamics. Moreover, LSMs generally neglect the production and export of dissolved organic carbon (DOC) from soils to rivers, leading to overestimations of the potential carbon sequestration on land. This common oversimplified processing of SOC in LSMs is partly responsible for the large uncertainty in the predictions of the soil carbon response to climate change. In this study, we present a\uffc2\uffa0new soil carbon module called ORCHIDEE-SOM, embedded within the land surface model ORCHIDEE, which is able to reproduce the DOC and SOC dynamics in a\uffc2\uffa0vertically discretized soil to 2\uffe2\uff80\uffafm. The model includes processes of biological production and consumption of SOC and DOC, DOC adsorption on and desorption from soil minerals, diffusion of SOC and DOC, and DOC transport with water through and out of the soils to rivers. We evaluated ORCHIDEE-SOM against observations of DOC concentrations and SOC stocks from four European sites with different vegetation covers: a\uffc2\uffa0coniferous forest, a\uffc2\uffa0deciduous forest, a\uffc2\uffa0grassland, and a\uffc2\uffa0cropland. The model was able to reproduce the SOC stocks along their vertical profiles at the four sites and the DOC concentrations within the range of measurements, with the exception of the DOC concentrations in the upper soil horizon at the coniferous forest. However, the model was not able to fully capture the temporal dynamics of DOC concentrations. Further model improvements should focus on a\uffc2\uffa0plant- and depth-dependent parameterization of the new input model parameters, such as the turnover times of DOC and the microbial carbon use efficiency. We suggest that this new soil module, when parameterized for global simulations, will improve the representation of the global carbon cycle in LSMs, thus helping to constrain the predictions of the future SOC response to global warming.                     </p>", "keywords": ["550", "/dk/atira/pure/core/keywords/nachhaltigkeitswissenschaft; name=Sustainability Science", "Climate", "/dk/atira/pure/discipline/B000/B006/B410-bodembeheer", "01 natural sciences", "/dk/atira/pure/thematic/inbo_th_00043", "/dk/atira/pure/thematic/inbo_th_00022", "SDG 13 - Climate Action", "/dk/atira/pure/sustainabledevelopmentgoals/climate_action; name=SDG 13 - Climate Action", "/dk/atira/pure/subjectarea/asjc/2600/2611; name=Modelling and Simulation", "0105 earth and related environmental sciences", "2. Zero hunger", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "Woods and parks", "QE1-996.5", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "Physics", "/dk/atira/pure/sustainabledevelopmentgoals/life_on_land; name=SDG 15 - Life on Land", "Geology", "Geokemi", "04 agricultural and veterinary sciences", "15. Life on land", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "Sciences de la terre et du cosmos", "Geochemistry", "/dk/atira/pure/subjectarea/asjc/1900; name=Earth and Planetary Sciences(all)", "13. Climate action", "8. Economic growth", "0401 agriculture", " forestry", " and fisheries", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment", "B410-soil-science"]}, "links": [{"href": "https://gmd.copernicus.org/articles/11/937/2018/gmd-11-937-2018.pdf"}, {"href": "https://dipot.ulb.ac.be/dspace/bitstream/2013/282703/1/doi_266330.pdf"}, {"href": "https://doi.org/10.5194/gmd-11-937-2018"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscientific%20Model%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/gmd-11-937-2018", "name": "item", "description": "10.5194/gmd-11-937-2018", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/gmd-11-937-2018"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-11-16T00:00:00Z"}}, {"id": "10.5194/gmd-13-507-2020", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:21:48Z", "type": "Journal Article", "created": "2020-02-10", "title": "ORCHIDEE MICT-LEAK (r5459), a global model for the production, transport, and transformation of dissolved organic carbon from Arctic permafrost regions \u2013 Part 2: Model evaluation over the Lena River basin", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. In this second part of a two-part study, we performed a simulation of the carbon and water budget of the Lena catchment with the land surface model ORCHIDEE MICT-LEAK, enabled to simulate dissolved organic carbon (DOC) production in soils and its transport and fate in high-latitude inland waters. The model results are evaluated for their ability to reproduce the fluxes of DOC and carbon dioxide (CO2) along the soil\u2013inland-water continuum and the exchange of CO2 with the atmosphere, including the evasion outgassing of CO2 from inland waters. We present simulation results over the years 1901\u20132007 and show that the model is able to broadly reproduce observed state variables and their emergent properties across a range of interacting physical and biogeochemical processes. These include (1)\u00a0net primary production (NPP), respiration and riverine hydrologic amplitude, seasonality, and inter-annual variation; (2)\u00a0DOC concentrations, bulk annual flow, and their volumetric attribution at the sub-catchment level; (3)\u00a0high headwater versus downstream CO2 evasion, an emergent phenomenon consistent with observations over a spectrum of high-latitude observational studies. These quantities obey emergent relationships with environmental variables like air temperature and topographic slope that have been described in the literature. This gives us confidence in reporting the following additional findings: of the \u223c34\u2009Tg\u2009C\u2009yr\u22121 left over as input to soil matter after NPP is diminished by heterotrophic respiration, 7\u2009Tg\u2009C\u2009yr\u22121 is leached and transported into the aquatic system. Of this, over half (3.6\u2009Tg\u2009C\u2009yr\u22121) is evaded from the inland water surface back into the atmosphere and the remainder (3.4\u2009Tg\u2009C\u2009yr\u22121) flushed out into the Arctic Ocean, mirroring empirically derived studies. These riverine DOC exports represent \u223c1.5\u2009% of NPP. DOC exported from the floodplains is dominantly sourced from recent more \u201clabile\u201d terrestrial production in contrast to DOC leached from the rest of the watershed with runoff and drainage, which is mostly sourced from recalcitrant soil and litter. All else equal, both historical climate change (a spring\u2013summer warming of 1.8\u2009\u2218C over the catchment) and rising atmospheric CO2 (+85.6\u2009ppm) are diagnosed from factorial simulations to contribute similar significant increases in DOC transport via primary production, although this similarity may not hold in the future.                     </p></article>", "keywords": ["[SDE] Environmental Sciences", "QE1-996.5", "550", "Geology", "15. Life on land", "01 natural sciences", "6. Clean water", "[SDE.BE] Environmental Sciences/Biodiversity and Ecology", "Sciences de la terre et du cosmos", "13. Climate action", "[SDE]Environmental Sciences", "Sciences pharmaceutiques", "14. Life underwater", "[SDE.BE]Environmental Sciences/Biodiversity and Ecology", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://dipot.ulb.ac.be/dspace/bitstream/2013/303330/1/doi_286974.pdf"}, {"href": "https://doi.org/10.5194/gmd-13-507-2020"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscientific%20Model%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/gmd-13-507-2020", "name": "item", "description": "10.5194/gmd-13-507-2020", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/gmd-13-507-2020"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-03-25T00:00:00Z"}}, {"id": "10.5194/gmd-2017-172", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:21:49Z", "type": "Journal Article", "created": "2017-07-24", "title": "Representation of dissolved organic carbon in the JULES land surface model (vn4.4_JULES-DOCM)", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Current global models of the carbon (C) cycle consider only vertical gas exchanges between terrestrial or oceanic reservoirs and the atmosphere, thus not considering lateral transport of carbon from the continents to the oceans. Therefore, those models implicitly consider that all the C which is not respired to the atmosphere is stored on land, hence overestimating the land C sink capability. A model that represents the whole continuum from atmosphere to land and into the ocean would provide better understanding of the Earth's C cycle and hence more reliable historical or future projections. We present an original representation of Dissolved Organic C (DOC) processes in the Joint UK Land Environment Simulator (JULES-DOCM). The standard version of JULES represents energy, water and carbon dynamics between vegetation, soil and atmosphere, while lateral fluxes only account for water run-off. Here we integrate a representation of DOC production in terrestrial ecosystems based on incomplete decomposition of organic matter, DOC decomposition within the soil column, and DOC export to the river network via leaching. The model performance is evaluated in five specific sites for which observations of soil DOC concentration are available. Results show that the model is able to reproduce the DOC concentration and controlling processes including leaching to the riverine system which is fundamental for integrating terrestrial and aquatic ecosystems.                         </p></article>", "keywords": ["QE1-996.5", "Multidisciplinary", "550", "Physics", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "/dk/atira/pure/sustainabledevelopmentgoals/life_on_land; name=SDG 15 - Life on Land", "Geology", "/dk/atira/pure/core/keywords/biology; name=Ecosystems Research", "15. Life on land", "[SDU] Sciences of the Universe [physics]", "Sciences de la terre et du cosmos", "Environmental Sciences related to Agriculture and Land-use", "/dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy; name=SDG 7 - Affordable and Clean Energy", "[SDU]Sciences of the Universe [physics]", "/dk/atira/pure/subjectarea/asjc/1900; name=Earth and Planetary Sciences(all)", "13. Climate action", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "14. Life underwater", "Geosciences", " Multidisciplinary", "Geosciences", "/dk/atira/pure/subjectarea/asjc/2600/2611; name=Modelling and Simulation"]}, "links": [{"href": "https://pub.epsilon.slu.se/15362/1/Nakhavali_et_al_180507.pdf"}, {"href": "https://gmd.copernicus.org/articles/11/593/2018/gmd-11-593-2018.pdf"}, {"href": "https://dipot.ulb.ac.be/dspace/bitstream/2013/282704/1/doi_266331.pdf"}, {"href": "https://doi.org/10.5194/gmd-2017-172"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscientific%20Model%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/gmd-2017-172", "name": "item", "description": "10.5194/gmd-2017-172", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/gmd-2017-172"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-07-24T00:00:00Z"}}, {"id": "2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/292778", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:25:29Z", "type": "Journal Article", "created": "2019-08-12", "title": "ORCHIDEE MICT-LEAK (r5459), a global model for the production, transport, and transformation of dissolved organic carbon from Arctic permafrost regions \u2013 Part 1: Rationale, model description, and simulation protocol", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Few Earth system models adequately represent the unique permafrost soil biogeochemistry and its respective processes; this significantly contributes to uncertainty in estimating their responses, and that of the planet at large, to warming. Likewise, the riverine component of what is known as the \u201cboundless carbon cycle\u201d is seldom recognised in Earth system modelling. The hydrological mobilisation of organic material from a \u223c1330\u20131580\u2009PgC carbon stock to the river network results in either sedimentary settling or atmospheric \u201cevasion\u201d, processes widely expected to increase with amplified Arctic climate warming. Here, the production, transport, and atmospheric release of dissolved organic carbon (DOC) from high-latitude permafrost soils into inland waters and the ocean are explicitly represented for the first time in the land surface component (ORCHIDEE) of a CMIP6 global climate model (Institut Pierre Simon Laplace \u2013 IPSL). The model, ORCHIDEE MICT-LEAK, which represents the merger of previously described ORCHIDEE versions MICT and LEAK, mechanistically represents (a)\u00a0vegetation and soil physical processes for high-latitude snow, ice, and soil phenomena and (b)\u00a0the cycling of DOC and CO2, including atmospheric evasion, along the terrestrial\u2013aquatic continuum from soils through the river network to the coast at 0.5 to 2\u2218 resolution. This paper, the first in a two-part study, presents the rationale for including these processes in a high-latitude-specific land surface model, then describes the model with a focus on novel process implementations, followed by a summary of the model configuration and simulation protocol. The results of these simulation runs, conducted for the Lena River basin, are evaluated against observational data in the second part of this study.</p></article>", "keywords": ["QE1-996.5", "550", "Geology", "15. Life on land", "551", "01 natural sciences", "6. Clean water", "Sciences de la terre et du cosmos", "[SDU.STU.GC]Sciences of the Universe [physics]/Earth Sciences/Geochemistry", "13. Climate action", "[SDU.STU.GC] Sciences of the Universe [physics]/Earth Sciences/Geochemistry", "[SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology", "Sciences pharmaceutiques", "[SDU.STU.GL] Sciences of the Universe [physics]/Earth Sciences/Glaciology", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://dipot.ulb.ac.be/dspace/bitstream/2013/292778/1/doi_276405.pdf"}, {"href": "https://doi.org/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/292778"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscientific%20Model%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/292778", "name": "item", "description": "2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/292778", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/292778"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-03-25T00:00:00Z"}}, {"id": "2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/303330", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:25:29Z", "type": "Journal Article", "created": "2020-02-10", "title": "ORCHIDEE MICT-LEAK (r5459), a global model for the production, transport, and transformation of dissolved organic carbon from Arctic permafrost regions \u2013 Part 2: Model evaluation over the Lena River basin", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. In this second part of a two-part study, we performed a simulation of the carbon and water budget of the Lena catchment with the land surface model ORCHIDEE MICT-LEAK, enabled to simulate dissolved organic carbon (DOC) production in soils and its transport and fate in high-latitude inland waters. The model results are evaluated for their ability to reproduce the fluxes of DOC and carbon dioxide (CO2) along the soil\u2013inland-water continuum and the exchange of CO2 with the atmosphere, including the evasion outgassing of CO2 from inland waters. We present simulation results over the years 1901\u20132007 and show that the model is able to broadly reproduce observed state variables and their emergent properties across a range of interacting physical and biogeochemical processes. These include (1)\u00a0net primary production (NPP), respiration and riverine hydrologic amplitude, seasonality, and inter-annual variation; (2)\u00a0DOC concentrations, bulk annual flow, and their volumetric attribution at the sub-catchment level; (3)\u00a0high headwater versus downstream CO2 evasion, an emergent phenomenon consistent with observations over a spectrum of high-latitude observational studies. These quantities obey emergent relationships with environmental variables like air temperature and topographic slope that have been described in the literature. This gives us confidence in reporting the following additional findings: of the \u223c34\u2009Tg\u2009C\u2009yr\u22121 left over as input to soil matter after NPP is diminished by heterotrophic respiration, 7\u2009Tg\u2009C\u2009yr\u22121 is leached and transported into the aquatic system. Of this, over half (3.6\u2009Tg\u2009C\u2009yr\u22121) is evaded from the inland water surface back into the atmosphere and the remainder (3.4\u2009Tg\u2009C\u2009yr\u22121) flushed out into the Arctic Ocean, mirroring empirically derived studies. These riverine DOC exports represent \u223c1.5\u2009% of NPP. DOC exported from the floodplains is dominantly sourced from recent more \u201clabile\u201d terrestrial production in contrast to DOC leached from the rest of the watershed with runoff and drainage, which is mostly sourced from recalcitrant soil and litter. All else equal, both historical climate change (a spring\u2013summer warming of 1.8\u2009\u2218C over the catchment) and rising atmospheric CO2 (+85.6\u2009ppm) are diagnosed from factorial simulations to contribute similar significant increases in DOC transport via primary production, although this similarity may not hold in the future.</p></article>", "keywords": ["[SDE] Environmental Sciences", "QE1-996.5", "550", "Geology", "15. Life on land", "01 natural sciences", "6. Clean water", "[SDE.BE] Environmental Sciences/Biodiversity and Ecology", "Sciences de la terre et du cosmos", "13. Climate action", "[SDE]Environmental Sciences", "Sciences pharmaceutiques", "14. Life underwater", "[SDE.BE]Environmental Sciences/Biodiversity and Ecology", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://dipot.ulb.ac.be/dspace/bitstream/2013/303330/1/doi_286974.pdf"}, {"href": "https://doi.org/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/303330"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscientific%20Model%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/303330", "name": "item", "description": "2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/303330", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/303330"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-03-25T00:00:00Z"}}, {"id": "10871/31936", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:24:51Z", "type": "Journal Article", "created": "2017-07-24", "title": "Representation of dissolved organic carbon in the JULES land surface model (vn4.4_JULES-DOCM)", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Current global models of the carbon (C) cycle consider only vertical gas exchanges between terrestrial or oceanic reservoirs and the atmosphere, thus not considering lateral transport of carbon from the continents to the oceans. Therefore, those models implicitly consider that all the C which is not respired to the atmosphere is stored on land, hence overestimating the land C sink capability. A model that represents the whole continuum from atmosphere to land and into the ocean would provide better understanding of the Earth's C cycle and hence more reliable historical or future projections. We present an original representation of Dissolved Organic C (DOC) processes in the Joint UK Land Environment Simulator (JULES-DOCM). The standard version of JULES represents energy, water and carbon dynamics between vegetation, soil and atmosphere, while lateral fluxes only account for water run-off. Here we integrate a representation of DOC production in terrestrial ecosystems based on incomplete decomposition of organic matter, DOC decomposition within the soil column, and DOC export to the river network via leaching. The model performance is evaluated in five specific sites for which observations of soil DOC concentration are available. Results show that the model is able to reproduce the DOC concentration and controlling processes including leaching to the riverine system which is fundamental for integrating terrestrial and aquatic ecosystems.</p></article>", "keywords": ["QE1-996.5", "Multidisciplinary", "550", "Physics", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "/dk/atira/pure/sustainabledevelopmentgoals/life_on_land; name=SDG 15 - Life on Land", "Geology", "/dk/atira/pure/core/keywords/biology; name=Ecosystems Research", "15. Life on land", "[SDU] Sciences of the Universe [physics]", "Sciences de la terre et du cosmos", "Environmental Sciences related to Agriculture and Land-use", "/dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy; name=SDG 7 - Affordable and Clean Energy", "[SDU]Sciences of the Universe [physics]", "/dk/atira/pure/subjectarea/asjc/1900; name=Earth and Planetary Sciences(all)", "13. Climate action", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "14. Life underwater", "Geosciences", " Multidisciplinary", "Geosciences", "/dk/atira/pure/subjectarea/asjc/2600/2611; name=Modelling and Simulation"]}, "links": [{"href": "https://pub.epsilon.slu.se/15362/1/Nakhavali_et_al_180507.pdf"}, {"href": "https://gmd.copernicus.org/articles/11/593/2018/gmd-11-593-2018.pdf"}, {"href": "https://dipot.ulb.ac.be/dspace/bitstream/2013/282704/1/doi_266331.pdf"}, {"href": "https://doi.org/10871/31936"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscientific%20Model%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10871/31936", "name": "item", "description": "10871/31936", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10871/31936"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-07-24T00:00:00Z"}}, {"id": "20.500.11850/688246", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:25:24Z", "type": "Journal Article", "created": "2024-07-29", "title": "Hydro-pedotransfer functions: a roadmap for future development", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Hydro-pedotransfer functions\u00a0(PTFs) relate easy-to-measure and readily available soil information to soil hydraulic properties\u00a0(SHPs) for applications in a wide range of process-based and empirical models, thereby enabling the assessment of soil hydraulic effects on hydrological, biogeochemical, and ecological processes. At least more than 4 decades of research have been invested to derive such relationships. However, while models, methods, data storage capacity, and computational efficiency have advanced, there are fundamental concerns related to the scope and adequacy of current PTFs, particularly when applied to parameterise models used at the field scale and beyond. Most of the PTF development process has focused on refining and advancing the regression methods, while fundamental aspects have remained largely unconsidered. Most soil systems are not represented in PTFs, which have been built mostly for agricultural soils in temperate climates. Thus, existing PTFs largely ignore how parent material, vegetation, land use, and climate affect processes that shape SHPs. The PTFs used to parameterise the Richards\u2013Richardson equation are mostly limited to predicting parameters of the van\u00a0Genuchten\u2013Mualem soil hydraulic functions, despite sufficient evidence demonstrating their shortcomings. Another fundamental issue relates to the diverging scales of derivation and application, whereby PTFs are derived based on laboratory measurements while often being applied at the field to regional scales. Scaling, modulation, and constraining strategies exist to alleviate some of these shortcomings in the mismatch between scales. These aspects are addressed here in a joint effort by the members of the International Soil Modelling Consortium\u00a0(ISMC) Pedotransfer Functions Working Group with the aim of systematising PTF research and providing a roadmap guiding both PTF development and use. We close with a 10-point catalogue for funders and researchers to guide review processes and research.</p></article>", "keywords": ["Technology", "550", "Bodenanalyse", "Modell", "SPHAGNUM MOSS", "Environmental technology. Sanitary engineering", "630", "Ing\u00e9nierie", " informatique & technologie", "Biogeochemical process", "Earth and Planetary Sciences (miscellaneous)", "Geography. Anthropology. Recreation", "GE1-350", "SATURATED HYDRAULIC CONDUCTIVITY", "Geosciences", " Multidisciplinary", "TD1-1066", "Water Science and Technology", "2. Zero hunger", "T", "Geology", "Hydraulics effects", "Agriculture & agronomy", "Life sciences", "Daten", "Pedo-transfer functions", "6. Clean water", "Soil hydraulics", "REFLECTANCE SPECTROSCOPY", "Roadmap", "Physical Sciences", "Sciences du vivant", "Water Resources", "SOIL-WATER-RETENTION", "0406 Physical Geography and Environmental Geoscience", "3709 Physical geography and environmental geoscience", "Process-based modeling", "Environmental Engineering", "Physique", " chimie", " math\u00e9matiques & sciences de la terre", "PHYSICAL-PROPERTIES", "SENSITIVITY-ANALYSIS", "Soil hydraulic properties", "0905 Civil Engineering", "333", "G", "Physical", " chemical", " mathematical & earth Sciences", "Empirical model", "Agriculture & agronomie", "Life Science", "UNSATURATED CONDUCTIVITY", "SEASONAL-CHANGES", "Pedotransfer functions", "HYSTERETIC MOISTURE PROPERTIES", "info:eu-repo/classification/ddc/550", "Science & Technology", "3707 Hydrology", "Physikochemische Bodeneigenschaft", "500", "15. Life on land", "Engineering", " computing & technology", "Sciences de la terre & g\u00e9ographie physique", "Environmental sciences", "0907 Environmental Engineering", "13. Climate action", "ITC-ISI-JOURNAL-ARTICLE", "Earth sciences & physical geography", "HETEROGENEOUS SOILS", "4013 Geomatic engineering", "ITC-GOLD", "Hydrological process"]}, "links": [{"href": "https://orbi.uliege.be/bitstream/2268/321088/1/hess-28-3391-2024.pdf"}, {"href": "https://hess.copernicus.org/articles/28/3391/2024/hess-28-3391-2024.pdf"}, {"href": "https://doi.org/20.500.11850/688246"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.11850/688246", "name": "item", "description": "20.500.11850/688246", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.11850/688246"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-07-29T00:00:00Z"}}, {"id": "2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/261804", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:25:29Z", "type": "Journal Article", "created": "2017-10-23", "title": "ORCHILEAK (revision 3875): a new model branch to simulate carbon transfers along the terrestrial\u2013aquatic continuum of the Amazon basin", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Lateral transfer of carbon (C) from terrestrial ecosystems into the inland water network is an important component of the global C cycle, which sustains a large aquatic CO2 evasion flux fuelled by the decomposition of allochthonous C inputs. Globally, estimates of the total C exports through the terrestrial\u2013aquatic interface range from 1.5 to 2.7\u202fPg\u202fC\u202fyr\u22121 (Cole et al., 2007; Battin et al., 2009; Tranvik et al., 2009), i.e. of the order of 2\u20135\u202f% of the terrestrial NPP. Earth system models (ESMs) of the climate system ignore these lateral transfers of C, and thus likely overestimate the terrestrial C sink. In this study, we present the implementation of fluvial transport of dissolved organic carbon (DOC) and CO2 into ORCHIDEE (Organising Carbon and Hydrology in Dynamic Ecosystems), the land surface scheme of the Institut Pierre-Simon Laplace ESM. This new model branch, called ORCHILEAK, represents DOC production from canopy and soils, DOC and CO2 leaching from soils to streams, DOC decomposition, and CO2 evasion to the atmosphere during its lateral transport in rivers, as well as exchange with the soil carbon and litter stocks on floodplains and in swamps. We parameterized and validated ORCHILEAK for the Amazon basin, the world's largest river system with regard to discharge and one of the most productive ecosystems in the world. With ORCHILEAK, we are able to reproduce observed terrestrial and aquatic fluxes of DOC and CO2 in the Amazon basin, both in terms of mean values and seasonality. In addition, we are able to resolve the spatio-temporal variability in C fluxes along the canopy\u2013soil\u2013water continuum at high resolution (1\u00b0, daily) and to quantify the different terrestrial contributions to the aquatic C fluxes. We simulate that more than two-thirds of the Amazon's fluvial DOC export are contributed by the decomposition of submerged litter. Throughfall DOC fluxes from canopy to ground are about as high as the total DOC inputs to inland waters. The latter, however, are mainly sustained by litter decomposition. Decomposition of DOC and submerged plant litter contributes slightly more than half of the CO2 evasion from the water surface, while the remainder is contributed by soil respiration. Total CO2 evasion from the water surface equals about 5\u202f% of the terrestrial NPP. Our results highlight that ORCHILEAK is well suited to simulate carbon transfers along the terrestrial\u2013aquatic continuum of tropical forests. It also opens the perspective that provided parameterization, calibration and validation is performed for other biomes, the new model branch could improve the quantification of the global terrestrial C sink and help better constrain carbon cycle\u2013climate feedbacks in future projections.</p></article>", "keywords": ["[SDU] Sciences of the Universe [physics]", "Sciences de la terre et du cosmos", "570", "QE1-996.5", "550", "[SDU]Sciences of the Universe [physics]", "13. Climate action", "Geology", "Sciences pharmaceutiques", "15. Life on land"]}, "links": [{"href": "https://gmd.copernicus.org/articles/10/3821/2017/gmd-10-3821-2017.pdf"}, {"href": "https://dipot.ulb.ac.be/dspace/bitstream/2013/261804/4/doi_245431.pdf"}, {"href": "https://doi.org/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/261804"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscientific%20Model%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/261804", "name": "item", "description": "2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/261804", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/261804"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-10-23T00:00:00Z"}}, {"id": "2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/282703", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:25:29Z", "type": "Journal Article", "created": "2018-03-15", "title": "ORCHIDEE-SOM: modeling soil organic carbon (SOC) and dissolved organic carbon (DOC) dynamics along vertical soil profiles in Europe", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Current land surface models (LSMs) typically represent soils in a\u00a0very simplistic way, assuming soil organic carbon (SOC) as a\u00a0bulk, and thus impeding a\u00a0correct representation of deep soil carbon dynamics. Moreover, LSMs generally neglect the production and export of dissolved organic carbon (DOC) from soils to rivers, leading to overestimations of the potential carbon sequestration on land. This common oversimplified processing of SOC in LSMs is partly responsible for the large uncertainty in the predictions of the soil carbon response to climate change. In this study, we present a\u00a0new soil carbon module called ORCHIDEE-SOM, embedded within the land surface model ORCHIDEE, which is able to reproduce the DOC and SOC dynamics in a\u00a0vertically discretized soil to 2\u202fm. The model includes processes of biological production and consumption of SOC and DOC, DOC adsorption on and desorption from soil minerals, diffusion of SOC and DOC, and DOC transport with water through and out of the soils to rivers. We evaluated ORCHIDEE-SOM against observations of DOC concentrations and SOC stocks from four European sites with different vegetation covers: a\u00a0coniferous forest, a\u00a0deciduous forest, a\u00a0grassland, and a\u00a0cropland. The model was able to reproduce the SOC stocks along their vertical profiles at the four sites and the DOC concentrations within the range of measurements, with the exception of the DOC concentrations in the upper soil horizon at the coniferous forest. However, the model was not able to fully capture the temporal dynamics of DOC concentrations. Further model improvements should focus on a\u00a0plant- and depth-dependent parameterization of the new input model parameters, such as the turnover times of DOC and the microbial carbon use efficiency. We suggest that this new soil module, when parameterized for global simulations, will improve the representation of the global carbon cycle in LSMs, thus helping to constrain the predictions of the future SOC response to global warming.</p></article>", "keywords": ["550", "/dk/atira/pure/core/keywords/nachhaltigkeitswissenschaft; name=Sustainability Science", "Climate", "/dk/atira/pure/discipline/B000/B006/B410-bodembeheer", "01 natural sciences", "/dk/atira/pure/thematic/inbo_th_00043", "/dk/atira/pure/thematic/inbo_th_00022", "SDG 13 - Climate Action", "/dk/atira/pure/sustainabledevelopmentgoals/climate_action; name=SDG 13 - Climate Action", "/dk/atira/pure/subjectarea/asjc/2600/2611; name=Modelling and Simulation", "0105 earth and related environmental sciences", "2. Zero hunger", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "Woods and parks", "QE1-996.5", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "Physics", "/dk/atira/pure/sustainabledevelopmentgoals/life_on_land; name=SDG 15 - Life on Land", "Geology", "Geokemi", "04 agricultural and veterinary sciences", "15. Life on land", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "Sciences de la terre et du cosmos", "Geochemistry", "/dk/atira/pure/subjectarea/asjc/1900; name=Earth and Planetary Sciences(all)", "13. Climate action", "8. Economic growth", "0401 agriculture", " forestry", " and fisheries", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment", "B410-soil-science"]}, "links": [{"href": "https://gmd.copernicus.org/articles/11/937/2018/gmd-11-937-2018.pdf"}, {"href": "https://dipot.ulb.ac.be/dspace/bitstream/2013/282703/1/doi_266330.pdf"}, {"href": "https://doi.org/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/282703"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscientific%20Model%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/282703", "name": "item", "description": "2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/282703", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/282703"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-11-16T00:00:00Z"}}, {"id": "2164/6134", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:25:37Z", "type": "Journal Article", "created": "2016-05-13", "title": "Modeling Soil Processes: Review, Key Challenges, and New Perspectives", "description": "Core Ideas                     <p>                                                                           <p>A community effort is needed to move soil modeling forward.</p>                                                                             <p>Establishing an international soil modeling consortium is key in this respect.</p>                                                                             <p>There is a need to better integrate existing knowledge in soil models.</p>                                                                             <p>Integration of data and models is a key challenge in soil modeling.</p>                                                                     </p>                     <p>The remarkable complexity of soil and its importance to a wide range of ecosystem services presents major challenges to the modeling of soil processes. Although major progress in soil models has occurred in the last decades, models of soil processes remain disjointed between disciplines or ecosystem services, with considerable uncertainty remaining in the quality of predictions and several challenges that remain yet to be addressed. First, there is a need to improve exchange of knowledge and experience among the different disciplines in soil science and to reach out to other Earth science communities. Second, the community needs to develop a new generation of soil models based on a systemic approach comprising relevant physical, chemical, and biological processes to address critical knowledge gaps in our understanding of soil processes and their interactions. Overcoming these challenges will facilitate exchanges between soil modeling and climate, plant, and social science modeling communities. It will allow us to contribute to preserve and improve our assessment of ecosystem services and advance our understanding of climate\uffe2\uff80\uff90change feedback mechanisms, among others, thereby facilitating and strengthening communication among scientific disciplines and society. We review the role of modeling soil processes in quantifying key soil processes that shape ecosystem services, with a focus on provisioning and regulating services. We then identify key challenges in modeling soil processes, including the systematic incorporation of heterogeneity and uncertainty, the integration of data and models, and strategies for effective integration of knowledge on physical, chemical, and biological soil processes. We discuss how the soil modeling community could best interface with modern modeling activities in other disciplines, such as climate, ecology, and plant research, and how to weave novel observation and measurement techniques into soil models. We propose the establishment of an international soil modeling consortium to coherently advance soil modeling activities and foster communication with other Earth science disciplines. Such a consortium should promote soil modeling platforms and data repository for model development, calibration and intercomparison essential for addressing contemporary challenges.</p>", "keywords": ["organic-matter dynamics", "550", "Sciences de l\u2019environnement & \u00e9cologie", "QH301 Biology", "Knowledge management", "0208 environmental biotechnology", "ECOSYSTEM SERVICES", "02 engineering and technology", "soil processes", "01 natural sciences", "Physical Geography and Environmental Geoscience", "Sciences de la Terre", "Biological process", "ANZSRC::3707 Hydrology", "DROUGHT SEVERITY INDEX", "SYNTHETIC-APERTURE RADAR", "ANZSRC::4106 Soil sciences", "SDG 13 - Climate Action", "Climate change", "0503 Soil Sciences", "GROUND-PENETRATING RADAR", "Integration of knowledge", "Life sciences", "ANZSRC::050399 Soil Sciences not elsewhere classified", "synthetic-aperture radar", "Physical Sciences", "Water Resources", "Knowledge and experience", "MULTIPLE ECOSYSTEM SERVICES", "knowledge integration", "570", "DIFFUSE-REFLECTANCE SPECTROSCOPY", "Environmental Engineering", "Physique", " chimie", " math\u00e9matiques & sciences de la terre", "Scientific discipline", "0703 Crop and Pasture Production", "0207 environmental engineering", "Soil Science", "soil science", "ORGANIC-MATTER DYNAMICS", "DATA ASSIMILATION", "Physical", " chemical", " mathematical & earth Sciences", "ANZSRC::0503 Soil Sciences", "Science disciplines", "PEDOTRANSFER FUNCTIONS", "Feedback mechanisms", "mod\u00e9lisation", "ground-penetrating radar", "Science & Technology", "ANZSRC::080110 Simulation and Modelling", "15. Life on land", "Sciences de la terre & g\u00e9ographie physique", "multiple ecosystem services", "root water-uptake", "Observation and measurement", "DIGITAL ELEVATION MODEL", "Quality of predictions", "SATURATED-UNSATURATED FLOW", "ARBUSCULAR MYCORRHIZAL FUNGI", "sciences du sol", "HYDRAULIC-PROPERTIES", "2. Zero hunger", "Agriculture", "diffuse-reflectance spectroscopy", "4106 Soil sciences", "ORGANIC-MATTER", "digital elevation model", "SDG 13 \u2013 Ma\u00dfnahmen zum Klimaschutz", "Sciences du vivant", "Uncertainty analysis", "0406 Physical Geography and Environmental Geoscience", "Life Sciences & Biomedicine", "Crop and Pasture Production", "101028 Mathematical modelling", "international soil modeling consortium", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "Environmental Sciences & Ecology", "arbuscular mycorrhizal fungi", "Ecosystems", "Climate models", "QH301", "Environmental sciences & ecology", "Life Science", "SEDIMENT TRANSPORT MODELS", "data integration", "sediment transport models", "approche ecosyst\u00e9mique", "0105 earth and related environmental sciences", "info:eu-repo/classification/ddc/550", "3707 Hydrology", "soil modeling", "ROOT WATER-UPTAKE", "SOLUTE TRANSPORT", "13. Climate action", "Earth and Environmental Sciences", "Soil Sciences", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "Earth Sciences", "Earth sciences & physical geography", "Soils", "101028 Mathematische Modellierung", "saturated-unsaturated flow", "Environmental Sciences", "root water-uptake", " sediment transport models", " diffuse-reflectance spectroscopy", " arbuscular mycorrhizal fungi", " multiple ecosystem services", " saturated-unsaturated flow", " ground-penetrating radar", " synthetic-aperture radar", " digital elevation model", " organic-matter dynamics."]}, "links": [{"href": "https://orbi.uliege.be/bitstream/2268/263634/1/Vereecken%20VZJ%202016.pdf"}, {"href": "http://onlinelibrary.wiley.com/wol1/doi/10.2136/vzj2015.09.0131/fullpdf"}, {"href": "https://escholarship.org/content/qt6976n34c/qt6976n34c.pdf"}, {"href": "https://doi.org/2164/6134"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Vadose%20Zone%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2164/6134", "name": "item", "description": "2164/6134", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2164/6134"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-05-01T00:00:00Z"}}, {"id": "2268/234713", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:25:39Z", "type": "Journal Article", "created": "2019-04-14", "title": "Dynamics of greenhouse gases in groundwater: hydrogeological and hydrogeochemical controls", "description": "Abstract   In this study the variability of greenhouse gases (GHGs) concentrations along lateral and vertical dimensions of the chalk aquifer located in the eastern part of Belgium was examined in order to understand its dependence on hydrogeological and hydrogeochemical conditions. Groundwater samples from 29 wells/piezometers were analyzed for concentrations of nitrous oxide (N2O), carbon dioxide (CO2), methane (CH4), major and minor elements and stable isotopes of nitrate (NO3\u2212), nitrous oxide (N2O), sulfate (SO42\u2212) and boron (B). For lateral investigations, four zones with different environmental settings were identified (southern, central, north-eastern and northern). Groundwater was oversaturated with GHGs with respect to its equilibrium concentrations with the atmosphere in all zones, except the northern one, undersaturated in N2O (0.07\u202f\u00b1\u202f0.08\u202f\u03bcgN/L vs. 0.3\u202f\u03bcgN/L). Vertical dimension studies showed the decrease in CO2 concentration and significant changes in both isotope signatures and concentration of N2O with depth. The production of N2O could be attributed to a combination of nitrification and denitrification processes occurring at different depths. CO2 concentration is controlled by the process of dissolution of carbonate minerals which constitute aquifer geology. CH4 is produced due to methanogenesis in deeper parts of the aquifer, though its thermogenic origin is also possible. Differences in hydrogeochemical settings and changing intensity of biogeochemical processes across the area and with depth have considerable effect on GHGs concentrations. Thus, before estimating GHGs fluxes at the groundwater\u2013river interface insights obtained from larger-scale investigations are required in order to identify the representative spatial zones which govern GHGs emissions.", "keywords": ["2. Zero hunger", "Stable isotope analysis", "Physique", " chimie", " math\u00e9matiques & sciences de la terre", "Agriculture", "01 natural sciences", "Geological", " petroleum & mining engineering", "6. Clean water", "Engineering", " computing & technology", "Ing\u00e9nierie", " informatique & technologie", "Sciences de la terre & g\u00e9ographie physique", "Indirect emissions", "Physical", " chemical", " mathematical & earth Sciences", "13. Climate action", "Earth sciences & physical geography", "G\u00e9ologie", " ing\u00e9nierie du p\u00e9trole & des mines", "Greenhouse gases (GHGs)", "Groundwater", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://orbi.uliege.be/bitstream/2268/234713/1/GHG%20Geer%20Appl.%20Geochem%202019%20VF.pdf"}, {"href": "https://doi.org/2268/234713"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Applied%20Geochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2268/234713", "name": "item", "description": "2268/234713", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2268/234713"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-06-01T00:00:00Z"}}, {"id": "2268/239471", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:25:39Z", "type": "Report", "title": "Analysing N sources and transformation processes in groundwater under agricultural areas (chalk aquifer, Belgium)", "description": "Transfer of GHGs in the soil \u2013 vadose zone \u2013 groundwater \u2013 river \u2013 atmosphere system", "keywords": ["Sciences de l\u2019environnement & \u00e9cologie", "Physique", " chimie", " math\u00e9matiques & sciences de la terre", "Life sciences", "6. Clean water", "Geological", " petroleum & mining engineering", "Engineering", " computing & technology", "Ing\u00e9nierie", " informatique & technologie", "Sciences de la terre & g\u00e9ographie physique", "Physical", " chemical", " mathematical & earth Sciences", "13. Climate action", "Environmental sciences & ecology", "Earth sciences & physical geography", "Sciences du vivant", "G\u00e9ologie", " ing\u00e9nierie du p\u00e9trole & des mines"], "contacts": [{"organization": "Nikolenko, Olha, Borges, Alberto, Orban, Philippe, Brouy\u00e8re, Serge,", "roles": ["creator"]}]}, "links": [{"href": "https://orbi.uliege.be/bitstream/2268/239471/1/INSPIRATIONBulletin.pdf"}, {"href": "https://doi.org/2268/239471"}, {"rel": "self", "type": "application/geo+json", "title": "2268/239471", "name": "item", "description": "2268/239471", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2268/239471"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-09-01T00:00:00Z"}}, {"id": "2268/250895", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:25:39Z", "type": "Other", "title": "Vertical interval dynamics of greenhouse gases in groundwater (Hesbaye chalk aquifer, Belgium)", "description": "Open AccessIncrease in the concentration of greenhouse gases (GHGs) in the atmosphere threatens the existence of many ecosystems and their inhabitants. Agricultural activities contribute up to 70 % of total anthropogenic emission of nitrous oxide (N2O), one of the GHGs, which is characterized with the highest global warming potential and contributes to stratospheric ozone depletion. Our study presents the results obtained from the recent field and lab activities carried out in order to obtain better insight into the factors that define the presence of N2O in groundwater. Previous large scale investigations, performed in the Hesbaye chalk aquifer in Eastern Belgium, suggested that the concentration of N2O in the aquifer depends on different, possibly overlapping biochemical processes such as nitrification, denitrification and/or nitrifier-denitrification. This study explored the occurrence of biochemical stratification in the same aquifer and its impact on N2O production and consumption mechanisms. For this purpose low flow sampling technique was applied at different depth intervals to obtain better insight into the extent of oxic and anoxic zones and variability of concentrations of GHGs along the vertical profile. Collected groundwater samples were analyzed for the range of hydrochemical parameters as well as NO3-, N2O, H2O and B isotopes signatures and N2O isotopomers. Afterwards, rates of nitrification and denitrification processes were estimated based on short-term incubations of collected groundwater amended with NO3- and NH4+ compounds labeled with heavy 15N isotope. In addition, in order to characterize the dynamics of ongoing biogeochemical processes, polymerase chain reaction (PCR) tests for detection of the activity-specific enzymes in the aquifer were performed. Such studies help to clarify which conditions are more prone to the accumulation of high concentrations of GHGs in aquifers and better constrain models which estimate local and regional GHGs budgets.AcknowledgmentsThis project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sk\u0142odowska-Curie grant agreement No 675120.", "keywords": ["2. Zero hunger", "Physical", " chemical", " mathematical & earth Sciences", "13. Climate action", "Physique", " chimie", " math\u00e9matiques & sciences de la terre", "Earth sciences & physical geography", "Greenhouse gases (GHGs)", "N isotopes", "Groundwater", "6. Clean water", "Sciences de la terre & g\u00e9ographie physique"], "contacts": [{"organization": "Nikolenko, Olha, Morana, C\u00e9dric, Taminiau, Bernard, Borges, Alberto, Robert, Tanguy, Goderniaux, Pascal, Duvivier, Maxime, Brouy\u00e8re, Serge,", "roles": ["creator"]}]}, "links": [{"href": "https://orbi.uliege.be/bitstream/2268/250895/1/EGU2020-4958-print.pdf"}, {"href": "https://doi.org/2268/250895"}, {"rel": "self", "type": "application/geo+json", "title": "2268/250895", "name": "item", "description": "2268/250895", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2268/250895"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-05-01T00:00:00Z"}}, {"id": "2268/215300", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:25:39Z", "type": "Journal Article", "created": "2017-10-23", "title": "Isotopic composition of nitrogen species in groundwater under agricultural areas: A review", "description": "This work reviews applications of stable isotope analysis to the studies of transport and transformation of N species in groundwater under agricultural areas. It summarizes evidence regarding factors affecting the isotopic composition of NO3-, NH4+ and N2O in subsurface, and discusses the use of 11B, 18O, 13C, 34S, 87Sr/86Sr isotopes to support the analysis of \u03b415N values. The isotopic composition of NO3-, NH4+ and N2O varies depending on their sources and dynamics of N cycle processes. The reported \u03b415N-NO3- values for sources of NO3- are: soil organic N - +3\u2030-+8\u2030, mineral fertilizers - -8\u2030-+7\u2030; manure/household waste - +5\u2030 to +35\u2030. For NH4+ sources, the isotopic signature ranges are: organic matter - +2.4-+4.1\u2030, rainwater - -13.4-+2.3\u2030, mineral fertilizers - -7.4-+5.1\u2030, household waste - +5-+9\u2030; animal manure - +8-+11\u2030. For N2O, isotopic composition depends on isotopic signatures of substrate pools and reaction rates. \u03b415N values of NO3- are influenced by fractionation effects occurring during denitrification (\u025b=5-40\u2030), nitrification (\u025b=5-35\u2030) and DNRA (\u025b not reported). The isotopic signature of NH4+ is also affected by nitrification and DNRA as well as mineralization (\u025b=1\u2030), sorption (\u025b=1-8\u2030), anammox (\u025b=4.3-7.4\u2030) and volatilization (\u025b=25\u2030). As for the N2O, production of N2O leads to its depletion in 15N, whereas consumption - to enrichment in 15N. The magnitude of fractionation effects occurring during the considered processes depends on temperature, pH, DO, C/NO3- ratio, size of the substrate pool, availability of electron donors, water content in subsoil, residence time, land use, hydrogeology. While previous studies have accumulated rich data on isotopic composition of NO3- in groundwater, evidence remains scarce in the cases of NH4+ and N2O. Further research is required to consider variability of \u03b415N-NH4+ and \u03b415N-N2O in groundwater across agricultural ecosystems.", "keywords": ["groundwater pollution", "N anthropogenic sources", "Physique", " chimie", " math\u00e9matiques & sciences de la terre", "0207 environmental engineering", "N cycle processes", "02 engineering and technology", "N isotopes", "15. Life on land", "01 natural sciences", "Geological", " petroleum & mining engineering", "6. Clean water", "Engineering", " computing & technology", "Ing\u00e9nierie", " informatique & technologie", "Sciences de la terre & g\u00e9ographie physique", "12. Responsible consumption", "Physical", " chemical", " mathematical & earth Sciences", "13. Climate action", "stable isotope analysis", "Earth sciences & physical geography", "G\u00e9ologie", " ing\u00e9nierie du p\u00e9trole & des mines", "agriculture", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://orbi.uliege.be/bitstream/2268/215300/1/final%20version.pdf"}, {"href": "https://doi.org/2268/215300"}, {"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": "2268/215300", "name": "item", "description": "2268/215300", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2268/215300"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-04-01T00:00:00Z"}}, {"id": "2268/223849", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:25:39Z", "type": "Other", "title": "Biogeochemistry of greenhouse gases in groundwater under agricultural area (the Geer catchment, Belgium)", "keywords": ["Sciences de l\u2019environnement & \u00e9cologie", "Physique", " chimie", " math\u00e9matiques & sciences de la terre", "N2O", "Life sciences", "Geological", " petroleum & mining engineering", "Engineering", " computing & technology", "Sciences de la terre & g\u00e9ographie physique", "Ing\u00e9nierie", " informatique & technologie", "Physical", " chemical", " mathematical & earth Sciences", "Environmental sciences & ecology", "greenhouse gases", "groundwater", "Earth sciences & physical geography", "Sciences du vivant", "G\u00e9ologie", " ing\u00e9nierie du p\u00e9trole & des mines"], "contacts": [{"organization": "Nikolenko, Olha, Orban, Philippe, Jamin, Pierre, Jurado, Anna, Borges, Alberto, Brouy\u00e8re, Serge,", "roles": ["creator"]}]}, "links": [{"href": "https://orbi.uliege.be/bitstream/2268/223849/1/EGU2018-16102-2.pdf"}, {"href": "https://doi.org/2268/223849"}, {"rel": "self", "type": "application/geo+json", "title": "2268/223849", "name": "item", "description": "2268/223849", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2268/223849"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-04-07T00:00:00Z"}}, {"id": "2268/262547", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:25:39Z", "type": "Journal Article", "created": "2021-03-18", "title": "Dynamics of nitrous oxide with depth in groundwater: Insights from ambient groundwater and laboratory incubation experiments (Hesbaye chalk aquifer, Belgium)", "description": "Aquifers under agricultural areas are considered to be an indirect source of nitrous oxide emission (N2O) to the atmosphere, which is the greenhouse gas (GHGs) characterized with the highest global warning potential and acts as a stratospheric ozone depletion agent. Previous investigations performed in the Cretaceous Hesbaye chalk aquifer in Eastern Belgium suggested that the dynamics of N2O in the aquifer is controlled by overlapping biochemical processes such as nitrification and denitrification. The current study aims to obtain better insight concerning the factors controlling the distribution of N2O concentration along a vertical dimension in the aquifer, and to capture and quantify the occurrence of nitrification and denitrification processes in the groundwater system. Low-flow groundwater sampling technique was undertaken at different depths in the aquifer to collect groundwater samples aiming at obtaining information about ambient aquifer hydrogeochemical conditions and their effect on the accumulation of GHGs. Afterwards, laboratory stable isotope experiments, using NO3- and NH4+ compounds labeled with heavy 15N isotope, were applied to quantify the rates of nitrification and denitrification processes. Ambient studies suggest that the occurrence of N transformation was related to denitrification while laboratory incubation experiments did not detect it. Such controversial results might be explained by the discrepancy between real aquifer conditions and lab design studies. Thus, additional in situ tracer experiments should be carried out in areas where natural groundwater fluxes do not flush the injected tracer too rapidly. In addition, it would be useful to conduct microbiological studies to obtain better insight into the nature of subsurface biofilm biotope.", "keywords": ["Sciences aquatiques & oc\u00e9anologie", "Physique", " chimie", " math\u00e9matiques & sciences de la terre", "Nitrous Oxide", "01 natural sciences", "Low-flow sampling", "Ing\u00e9nierie", " informatique & technologie", "Calcium Carbonate", "Physical", " chemical", " mathematical & earth Sciences", "Belgium", "Groundwater", "0105 earth and related environmental sciences", "2. Zero hunger", "Aquatic sciences & oceanology", "N stable isotope analysis", "Life sciences", "Nitrification", "Geological", " petroleum & mining engineering", "6. Clean water", "Engineering", " computing & technology", "Sciences de la terre & g\u00e9ographie physique", "Greenhouse gases", "13. Climate action", "Earth sciences & physical geography", "Sciences du vivant", "Denitrification", "G\u00e9ologie", " ing\u00e9nierie du p\u00e9trole & des mines", "Laboratories"]}, "links": [{"href": "https://orbi.uliege.be/bitstream/2268/262547/2/Dynamics%20of%20nitrous%20oxide%20with%20depth%20in%20groundwater%20insights%20from%20ambient%20groundwater.pdf"}, {"href": "https://doi.org/2268/262547"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Contaminant%20Hydrology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2268/262547", "name": "item", "description": "2268/262547", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2268/262547"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-08-01T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Sciences+de+la+terre+&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Sciences+de+la+terre+&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Sciences+de+la+terre+&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Sciences+de+la+terre+&offset=18", "hreflang": "en-US"}], "numberMatched": 18, "numberReturned": 18, "distributedFeatures": [], "timeStamp": "2026-07-27T05:20:37.663766Z"}