{"type": "FeatureCollection", "features": [{"id": "10.1111/gcbb.12255", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:19:29Z", "type": "Journal Article", "created": "2015-02-19", "title": "Bioenergy Harvest, Climate Change, And Forest Carbon In The Oregon Coast Range", "description": "Abstract

Forests provide important ecological, economic, and social services, and recent interest has emerged in the potential for using residue from timber harvest as a source of renewable woody bioenergy. The long\uffe2\uff80\uff90term consequences of such intensive harvest are unclear, particularly as forests face novel climatic conditions over the next century. We used a simulation model to project the long\uffe2\uff80\uff90term effects of management and climate change on above\uffe2\uff80\uff90 and belowground forest carbon storage in a watershed in northwestern Oregon. The multi\uffe2\uff80\uff90ownership watershed has a diverse range of current management practices, including little\uffe2\uff80\uff90to\uffe2\uff80\uff90no harvesting on federal lands, short\uffe2\uff80\uff90rotation clear\uffe2\uff80\uff90cutting on industrial land, and a mix of practices on private nonindustrial land. We simulated multiple management scenarios, varying the rate and intensity of harvest, combined with projections of climate change. Our simulations project a wide range of total ecosystem carbon storage with varying harvest rate, ranging from a 45% increase to a 16% decrease in carbon compared to current levels. Increasing the intensity of harvest for bioenergy caused a 2\uffe2\uff80\uff933% decrease in ecosystem carbon relative to conventional harvest practices. Soil carbon was relatively insensitive to harvest rotation and intensity, and accumulated slowly regardless of harvest regime. Climate change reduced carbon accumulation in soil and detrital pools due to increasing heterotrophic respiration, and had small but variable effects on aboveground live carbon and total ecosystem carbon. Overall, we conclude that current levels of ecosystem carbon storage are maintained in part due to substantial portions of the landscape (federal and some private lands) remaining unharvested or lightly managed.\uffc2\uffa0Increasing the intensity of harvest for bioenergy on currently harvested land, however,\uffc2\uffa0led to a relatively small reduction in the ability of forests to store carbon. Climate change is unlikely to substantially alter carbon storage in these forests, absent shifts in disturbance regimes.

", "keywords": ["0106 biological sciences", "Carbon dioxide mitigation", "Forest ecology -- Oregon -- Oregon Coast Range", "Forest biomass", "13. Climate action", "Carbon cycle (Biogeochemistry)", "Biomass energy", "Forest Biology", "15. Life on land", "01 natural sciences", "7. Clean energy", "Climatic change", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1111/gcbb.12255"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/GCB%20Bioenergy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/gcbb.12255", "name": "item", "description": "10.1111/gcbb.12255", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/gcbb.12255"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-05-25T00:00:00Z"}}, {"id": "10.1007/s00442-007-0750-y", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:14:49Z", "type": "Journal Article", "created": "2007-05-09", "title": "Mangrove Growth In New Zealand Estuaries: The Role Of Nutrient Enrichment At Sites With Contrasting Rates Of Sedimentation", "description": "Mangrove forest coverage is increasing in the estuaries of the North Island of New Zealand, causing changes in estuarine ecosystem structure and function. Sedimentation and associated nutrient enrichment have been proposed to be factors leading to increases in mangrove cover, but the relative importance of each of these factors is unknown. We conducted a fertilization study in estuaries with different sedimentation histories in order to determine the role of nutrient enrichment in stimulating mangrove growth and forest development. We expected that if mangroves were nutrient-limited, nutrient enrichment would lead to increases in mangrove growth and forest structure and that nutrient enrichment of trees in our site with low sedimentation would give rise to trees and sediments that converged in terms of functional characteristics on control sites in our high sedimentation site. The effects of fertilizing with nitrogen (N) varied among sites and across the intertidal zone, with enhancements in growth, photosynthetic carbon gain, N resorption prior to leaf senescence and the leaf area index of canopies being significantly greater at the high sedimentation sites than at the low sedimentation sites, and in landward dwarf trees compared to seaward fringing trees. Sediment respiration (CO(2) efflux) was higher at the high sedimentation site than at the low one sedimentation site, but it was not significantly affected by fertilization, suggesting that the high sedimentation site supported greater bacterial mineralization of sediment carbon. Nutrient enrichment of the coastal zone has a role in facilitating the expansion of mangroves in estuaries of the North Island of New Zealand, but this effect is secondary to that of sedimentation, which increases habitat area and stimulates growth. In estuaries with high sediment loads, enrichment with N will cause greater mangrove growth and further changes in ecosystem function.", "keywords": ["nutrient resorption efficiency", "Whangapoua", "0106 biological sciences", "Geologic Sediments", "Nitrogen", "Performance", "soil respiration", "01 natural sciences", "Rhizophora-mangle", "C1", "Oxygen Consumption", "Plant-growth", "Herbivory", "Photosynthesis", "Deposition", "Ecosystem", "580", "photosynthesis", "Avicenna marina", "Ecology", "leaf area index", "Plant Stems", "Phosphorus", "Soil respiration", "Limitation", "15. Life on land", "Carbon", "Plant Leaves", "Leaf area index", "770400 Coastal and Estuarine Environment", "Nutrient resorption efficiency", "Waikopua", "Avicennia", "Seasons", "270402 Plant Physiology", "New Zealand"]}, "links": [{"href": "https://doi.org/10.1007/s00442-007-0750-y"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Oecologia", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s00442-007-0750-y", "name": "item", "description": "10.1007/s00442-007-0750-y", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s00442-007-0750-y"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-05-10T00:00:00Z"}}, {"id": "10.1007/s10533-023-01091-2", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:15:03Z", "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.Climate warming is expected to destabilize permafrost carbon (PF\uffe2\uff80\uff90C) by thaw\uffe2\uff80\uff90erosion and deepening of the seasonally thawed active layer and thereby promote PF\uffe2\uff80\uff90C mineralization to CO2 and CH4. A similar PF\uffe2\uff80\uff90C remobilization might have contributed to the increase in atmospheric CO2 during deglacial warming after the last glacial maximum. Using carbon isotopes and terrestrial biomarkers (\uffce\uff9414C, \uffce\uffb413C, and lignin phenols), this study quantifies deposition of terrestrial carbon originating from permafrost in sediments from the Chukchi Sea (core SWERUS\uffe2\uff80\uff90L2\uffe2\uff80\uff904\uffe2\uff80\uff90PC1). The sediment core reconstructs remobilization of permafrost carbon during the late Aller\uffc3\uffb8d warm period starting at 13,000\uffc2\uffa0cal\uffc2\uffa0years before present (BP), the Younger Dryas, and the early Holocene warming until 11,000\uffc2\uffa0cal\uffc2\uffa0years BP and compares this period with the late Holocene, from 3,650\uffc2\uffa0years BP until present. Dual\uffe2\uff80\uff90carbon\uffe2\uff80\uff90isotope\uffe2\uff80\uff90based source apportionment demonstrates that Ice Complex Deposit\uffe2\uff80\uff94ice\uffe2\uff80\uff90 and carbon\uffe2\uff80\uff90rich permafrost from the late Pleistocene (also referred to as Yedoma)\uffe2\uff80\uff94was the dominant source of organic carbon (66\uffc2\uffa0\uffc2\uffb1\uffc2\uffa08%; mean\uffc2\uffa0\uffc2\uffb1\uffc2\uffa0standard deviation) to sediments during the end of the deglaciation, with fluxes more than twice as high (8.0\uffc2\uffa0\uffc2\uffb1\uffc2\uffa04.6\uffc2\uffa0g\uffc2\uffb7m\uffe2\uff88\uff922\uffc2\uffb7year\uffe2\uff88\uff921) as in the late Holocene (3.1\uffc2\uffa0\uffc2\uffb1\uffc2\uffa01.0\uffc2\uffa0g\uffc2\uffb7m\uffe2\uff88\uff922\uffc2\uffb7year\uffe2\uff88\uff921). These results are consistent with late deglacial PF\uffe2\uff80\uff90C remobilization observed in a Laptev Sea record, yet in contrast with PF\uffe2\uff80\uff90C sources, which at that location were dominated by active layer material from the Lena River watershed. Release of dormant PF\uffe2\uff80\uff90C from erosion of coastal permafrost during the end of the last deglaciation indicates vulnerability of Ice Complex Deposit in response to future warming and sea level changes.Many studies have attempted to predict whether coastal marshes will be able to keep up with future acceleration of sea-level rise by estimating marsh accretion rates. However, there are few studies focussing on the long-term effects of herbivores on vegetation structure and subsequent effects on marsh accretion. Deposition of fine-grained, mineral sediment during tidal inundations, together with organic matter accumulation from the local vegetation, positively affects accretion rates of marsh surfaces. Tall vegetation can enhance sediment deposition by reducing current flow and wave action. Herbivores shorten vegetation height and this could potentially reduce sediment deposition. This study estimated the effects of herbivores on 1) vegetation height, 2) sediment deposition and 3) resulting marsh accretion after long-term (at least 16 years) herbivore exclusion of both small (i.e. hare and goose) and large grazers (i.e. cattle) for marshes of different ages. Our results firstly showed that both small and large herbivores can have a major impact on vegetation height. Secondly, grazing processes did not affect sediment deposition. Finally, trampling by large grazers affected marsh accretion rates by compacting the soil. In many European marshes, grazing is used as a tool in nature management as well as for agricultural purposes. Thus, we propose that soil compaction by large grazers should be taken in account when estimating the ability of coastal systems to cope with an accelerating sea-level rise. (C) 2013 Elsevier Ltd. All rights reserved.

", "keywords": ["marsh succession", "0106 biological sciences", "Surface elevation change", "Sea-level rise", "FLOW", "Sedimentation rate", "SEA-LEVEL RISE", "SURFACE ELEVATION", "01 natural sciences", "BROWN HARES", "Herbivory", "14. Life underwater", "Marsh succession", "Biology", "Global change", "VEGETATION SUCCESSION", "global change", "COASTAL WETLANDS", "0105 earth and related environmental sciences", "2. Zero hunger", "sedimentation rate", "herbivory", "GEESE", "sea-level rise", "15. Life on land", "PRODUCTIVITY GRADIENT", "surface elevation change", "NORTH-SEA", "13. Climate action", "TIDAL MARSH"]}, "links": [{"href": "https://doi.org/10.1016/j.ecss.2013.08.021"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Estuarine%2C%20Coastal%20and%20Shelf%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.ecss.2013.08.021", "name": "item", "description": "10.1016/j.ecss.2013.08.021", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.ecss.2013.08.021"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-11-01T00:00:00Z"}}, {"id": "10.1016/j.ecss.2013.10.026", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:16:17Z", "type": "Journal Article", "created": "2013-11-01", "title": "Does Livestock Grazing Affect Sediment Deposition And Accretion Rates In Salt Marshes?", "description": "

Accretion rates, defined as the vertical growth of salt marshes measured in mm per year, may be influenced by grazing livestock in two ways: directly, by increasing soil compaction through trampling, and indirectly, by reducing aboveground biomass and thus decreasing sediment deposition rates measured in g/m(2) per year. Although accretion rates and the resulting surface elevation change largely determine the resilience of salt marshes to sea-level rise (SLR), the effect of livestock grazing on accretion rates has been little studied. Therefore, this study aimed to investigate the effect of livestock grazing on salt-marsh accretion rates. We hypothesise that accretion will be lower in grazed compared to ungrazed salt marshes. In four study sites along the mainland coast of the Wadden Sea (in the south-eastern North Sea), accretion rates, sediment deposition rates, and soil compaction of grazed and ungrazed marshes were analysed using the Cs-137 radionuclide dating method. Accretion rates were on average 11.6 mm yr(-1) during recent decades and thus higher than current and projected rates of SLR. Neither accretion nor sediment deposition rates were significantly different between grazing treatments. Meanwhile, soil compaction was clearly affected by grazing with significantly higher dry bulk density on grazed compared to ungrazed parts. Based on these results, we conclude that other factors influence whether grazing has an effect on accretion and sediment deposition rates and that the effect of grazing on marsh growth does not follow a direct causal chain. It may have a great importance when interacting with other biotic and abiotic processes on the marsh. Crown Copyright (C) 2013 Published by Elsevier Ltd. All rights reserved.

", "keywords": ["0106 biological sciences", "F800 - Physical geographical sciences", "550", "137Cs", "geochronology", "SEA-LEVEL RISE", "SURFACE ELEVATION", "01 natural sciences", "630", "Wadden Sea", "inundation", "CS-137", "F820 Geomorphology", "(CS)-C-137", "compaction", "NITROGEN MINERALIZATION", "COASTAL WETLANDS", "0105 earth and related environmental sciences", "land use management", "WADDEN SEA", "15. Life on land", "NORTH-SEA", "13. Climate action", "C180 - Ecology", "TIDAL MARSH", "VEGETATION", "C180 Ecology", "dating", "SW NETHERLANDS"]}, "links": [{"href": "https://doi.org/10.1016/j.ecss.2013.10.026"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Estuarine%2C%20Coastal%20and%20Shelf%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.ecss.2013.10.026", "name": "item", "description": "10.1016/j.ecss.2013.10.026", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.ecss.2013.10.026"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-12-01T00:00:00Z"}}, {"id": "10.1016/j.marpolbul.2016.05.049", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:17:02Z", "type": "Journal Article", "created": "2016-06-11", "title": "Rehabilitating Mangrove Ecosystem Services: A Case Study On The Relative Benefits Of Abandoned Pond Reversion From Panay Island, Philippines", "description": "Mangroves provide vital climate change mitigation and adaptation (CCMA) ecosystem services (ES), yet have suffered extensive tropics-wide declines. To mitigate losses, rehabilitation is high on the conservation agenda. However, the relative functionality and ES delivery of rehabilitated mangroves in different intertidal locations is rarely assessed. In a case study from Panay Island, Philippines, using field- and satellite-derived methods, we assess carbon stocks and coastal protection potential of rehabilitated low-intertidal seafront and mid- to upper-intertidal abandoned (leased) fishpond areas, against reference natural mangroves. Due to large sizes and appropriate site conditions, targeted abandoned fishpond reversion to former mangrove was found to be favourable for enhancing CCMA in the coastal zone. In a municipality-specific case study, 96.7% of abandoned fishponds with high potential for effective greenbelt rehabilitation had favourable tenure status for reversion. These findings have implications for coastal zone management in Asia in the face of climate change.", "keywords": ["0106 biological sciences", "Carbon Sequestration", "Conservation of Natural Resources", "coastal protection", "mangroves", "Philippines", "Aquatic Science", "15. Life on land", "Oceanography", "Pollution", "01 natural sciences", "Carbon", "rehabilitation", "carbon stocks", "13. Climate action", "Wetlands", "11. Sustainability", "14. Life underwater", "ecosystem services", "Ponds", "abandoned aquaculture ponds", "Ecosystem", "Environmental Restoration and Remediation", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.marpolbul.2016.05.049"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Marine%20Pollution%20Bulletin", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.marpolbul.2016.05.049", "name": "item", "description": "10.1016/j.marpolbul.2016.05.049", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.marpolbul.2016.05.049"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-08-01T00:00:00Z"}}, {"id": "10.1021/acs.est.4c10710", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-27T16:17:58Z", "type": "Journal Article", "created": "2024-12-25", "title": "In Situ Vivianite Formation in Intertidal Sediments: Ferrihydrite-Adsorbed P Triggers Vivianite Formation", "description": "Open AccessISSN:0013-936X", "keywords": ["Geologic Sediments", "Spectroscopy", " Mossbauer", "Mo\u0308ssbauer spectroscopy", "Phosphorus", "Adsorption", "Ferrous Compounds", "coastal sediments", "Ferric Compounds", "iron minerals", "Phosphates", "phosphorus cycling"], "contacts": [{"organization": "Kubeneck, L. Jo\u00eblle, Rothwell, Katherine A., Notini, Luiza, ThomasArrigo, Laurel K., Schulz, Katrin, Fantappi\u00e8, Giulia, Joshi, Prachi, Huthwelker, Thomas, Kretzschmar, Ruben,", "roles": ["creator"]}]}, "links": [{"href": "https://pubs.acs.org/doi/pdf/10.1021/acs.est.4c10710"}, {"href": "https://doi.org/10.1021/acs.est.4c10710"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Science%20%26amp%3B%20Technology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1021/acs.est.4c10710", "name": "item", "description": "10.1021/acs.est.4c10710", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1021/acs.est.4c10710"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-12-25T00:00:00Z"}}, {"id": "10.1023/b:fres.0000019457.43677.08", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:18:09Z", "type": "Journal Article", "created": "2004-03-15", "title": "Using Mucuna And P Fertilizer To Increase Maize Grain Yield And N Fertilizer Use Efficiency In The Coastal Savanna Of Togo", "description": "To reduce severe soil degradation associated with agriculture an intensified land-use system is being promoted in West African countries. Most soils of the West African savanna zones are so poor that the efficiency of mineral fertilizers, if applied, is very low. For this reason and because of their high cost and unavailability, many small-scale farmers are reluctant to apply fertilizer. This work investigates a fertilizer management strategy using integrated soil fertility management with a leguminous cover crop (mucuna) so as to improve the soil fertility and increase the use efficiency of fertilizer. The experiment was conducted in the coastal savanna of Togo at Djaka Kope. The aim was to evaluate the effectiveness of mucuna short fallow (MSF) in increasing maize grain yield through an improved use efficiency of mineral fertilizer. A 2-year maize\u2013mucuna relay intercropping system was compared with continuous sole maize cropping. Fertilizer treatments were factorial combinations of 0, 50 and 100 kg nitrogen (N) ha\u20131 and 0, 20 and 40 kg phosphorus (P) ha\u20131. While maize grain yield was significantly increased by N fertilization, P did not show any important effect on grain yield. With no N and P applied, grain yield after MSF was on average 40% (572 kg ha\u20131) higher than without. The response to N was much greater than the response to MSF, indicating that N was undoubtedly the key element for maize yield building. P fertilization and MSF together positively influenced the apparent N recovery fraction (NRF). N uptake alone did not reflect on its own the yield obtained, and the relationship between grain yield and N uptake is shifted by MSF, with the grain yield increase per unit of N uptake being higher with than without MSF. Combining MSF and P fertilization may therefore lead to improved N use efficiency, making the application of fertilizer N (lower rates) more attractive to small-scale farmers.", "keywords": ["Soil nutrients", "0106 biological sciences", "2. Zero hunger", "Soil management", "Cover cropping", "Small-scale farming", "Green manure crops", "04 agricultural and veterinary sciences", "15. Life on land", "Soil fertility", "Mucuna", "01 natural sciences", "Coastal savanna", "Farm/Enterprise Scale", "Togo", "Fallow", "0401 agriculture", " forestry", " and fisheries", "Mineral fertilizers"], "contacts": [{"organization": "Fofana, B., Breman, H., Carsky, R. J., Van Reuler, H., Tamelokpo, A., Gnakpenou, K.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1023/b:fres.0000019457.43677.08"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nutrient%20Cycling%20in%20Agroecosystems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1023/b:fres.0000019457.43677.08", "name": "item", "description": "10.1023/b:fres.0000019457.43677.08", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1023/b:fres.0000019457.43677.08"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2004-03-01T00:00:00Z"}}, {"id": "10.1029/2020gl088561", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:18:13Z", "type": "Journal Article", "created": "2020-07-17", "title": "Nearshore Zone Dynamics Determine Pathway of Organic Carbon From Eroding Permafrost Coasts", "description": "Abstract

Collapse of permafrost coasts delivers large quantities of particulate organic carbon (POC) to Arctic coastal areas. With rapidly changing environmental conditions, sediment and organic carbon (OC) mobilization and transport pathways are also changing. Here, we assess the sources and sinks of POC in the highly dynamic nearshore zone of Herschel Island\uffe2\uff80\uff90Qikiqtaruk (Yukon, Canada). Our results show that POC concentrations sharply decrease, from 15.9 to 0.3\uffc2\uffa0mg\uffc2\uffa0L\uffe2\uff88\uff921, within the first 100\uffe2\uff80\uff93300\uffc2\uffa0m offshore. Simultaneously, radiocarbon ages of POC drop from 16,400 to 3,600 14C years, indicating rapid settling of old permafrost POC to underlying sediments. This suggests that permafrost OC is, apart from a very narrow resuspension zone (<5\uffc2\uffa0m water depth), predominantly deposited in nearshore sediments. While long\uffe2\uff80\uff90term storage of permafrost OC in marine sediments potentially limits biodegradation and its subsequent release as greenhouse gas, resuspension of fine\uffe2\uff80\uff90grained, OC\uffe2\uff80\uff90rich sediments in the nearshore zone potentially enhances OC turnover.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": "10.1038/s41467-017-00192-5", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-27T16:18:20Z", "type": "Journal Article", "created": "2017-08-02", "title": "Zhamanshin astrobleme provides evidence for carbonaceous chondrite and post-impact exchange between ejecta and Earth\u2019s atmosphere", "description": "Abstract

Chemical fingerprints of impacts are usually compromised by extreme conditions in the impact plume, and the contribution of projectile matter to impactites does not often exceed a fraction of per cent. Here we use chromium and oxygen isotopes to identify the impactor and impact-plume processes for Zhamanshin astrobleme, Kazakhstan. \uffce\uffb554Cr values up to 1.54 in irghizites, part of the fallback ejecta, represent the54Cr-rich extremity of the Solar System range and suggest a CI-like chondrite impactor. \uffce\uff9417O values as low as \uffe2\uff88\uff920.22\uffe2\uff80\uffb0 in irghizites, however, are incompatible with a CI-like impactor. We suggest that the observed17O depletion in irghizites relative to the terrestrial range is caused by partial isotope exchange with atmospheric oxygen (\uffce\uff9417O\uffe2\uff80\uff89=\uffe2\uff80\uff89\uffe2\uff88\uff920.47\uffe2\uff80\uffb0) following material ejection. In contrast, combined \uffce\uff9417O\uffe2\uff80\uff93\uffce\uffb554Cr data for central European tektites (distal ejecta) fall into the terrestrial range and neither impactor fingerprint nor oxygen isotope exchange with the atmosphere are indicated.

", "keywords": ["OXYGEN-ISOTOPE COMPOSITION", "NORDLINGER RIES IMPACT", "ORIGIN", "FRACTIONATION", "carbonaceous chondrite; post-impact exchange; ejecta; Earth\u2019s atmosphere", "Science", "Q", "TARGET ROCKS", "[SDU.ASTR.EP] Sciences of the Universe [physics]/Astrophysics [astro-ph]/Earth and Planetary Astrophysics [astro-ph.EP]", "551", "01 natural sciences", "Article", "IVORY-COAST TEKTITES", "13. Climate action", "CRATER", "GLASSES", "ELEMENTS", "WATER", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://www.nature.com/articles/s41467-017-00192-5.pdf"}, {"href": "https://doi.org/10.1038/s41467-017-00192-5"}, {"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/s41467-017-00192-5", "name": "item", "description": "10.1038/s41467-017-00192-5", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41467-017-00192-5"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-08-09T00:00:00Z"}}, {"id": "10.1038/s41467-018-03192-1", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-27T16:18:20Z", "type": "Journal Article", "created": "2018-02-19", "title": "Bounding cross-shelf transport time and degradation in Siberian-Arctic land-ocean carbon transfer", "description": "Abstract

The burial of terrestrial organic carbon (terrOC) in marine sediments contributes to the regulation of atmospheric CO2 on geological timescales and may mitigate positive feedback to present-day climate warming. However, the fate of terrOC in marine settings is debated, with uncertainties regarding its degradation during transport. Here, we employ compound-specific radiocarbon analyses of terrestrial biomarkers to determine cross-shelf transport times. For the World\uffe2\uff80\uff99s largest marginal sea, the East Siberian Arctic shelf, transport requires 3600\uffe2\uff80\uff89\uffc2\uffb1\uffe2\uff80\uff89300 years for the 600\uffe2\uff80\uff89km from the Lena River to the Laptev Sea shelf edge. TerrOC was reduced by ~85% during transit resulting in a degradation rate constant of 2.4\uffe2\uff80\uff89\uffc2\uffb1\uffe2\uff80\uff890.6\uffe2\uff80\uff89kyr\uffe2\uff88\uff921. Hence, terrOC degradation during cross-shelf transport constitutes a carbon source to the atmosphere over millennial time. For the contemporary carbon cycle on the other hand, slow terrOC degradation brings considerable attenuation of the decadal-centennial permafrost carbon-climate feedback caused by global warming.Mangroves 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": "20.500.14243/346511", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-27T16:26:49Z", "type": "Journal Article", "created": "2018-12-14", "title": "Remobilization of Old Permafrost Carbon to Chukchi Sea Sediments During the End of the Last Deglaciation", "description": "Abstract

Climate warming is expected to destabilize permafrost carbon (PF\uffe2\uff80\uff90C) by thaw\uffe2\uff80\uff90erosion and deepening of the seasonally thawed active layer and thereby promote PF\uffe2\uff80\uff90C mineralization to CO2 and CH4. A similar PF\uffe2\uff80\uff90C remobilization might have contributed to the increase in atmospheric CO2 during deglacial warming after the last glacial maximum. Using carbon isotopes and terrestrial biomarkers (\uffce\uff9414C, \uffce\uffb413C, and lignin phenols), this study quantifies deposition of terrestrial carbon originating from permafrost in sediments from the Chukchi Sea (core SWERUS\uffe2\uff80\uff90L2\uffe2\uff80\uff904\uffe2\uff80\uff90PC1). The sediment core reconstructs remobilization of permafrost carbon during the late Aller\uffc3\uffb8d warm period starting at 13,000\uffc2\uffa0cal\uffc2\uffa0years before present (BP), the Younger Dryas, and the early Holocene warming until 11,000\uffc2\uffa0cal\uffc2\uffa0years BP and compares this period with the late Holocene, from 3,650\uffc2\uffa0years BP until present. Dual\uffe2\uff80\uff90carbon\uffe2\uff80\uff90isotope\uffe2\uff80\uff90based source apportionment demonstrates that Ice Complex Deposit\uffe2\uff80\uff94ice\uffe2\uff80\uff90 and carbon\uffe2\uff80\uff90rich permafrost from the late Pleistocene (also referred to as Yedoma)\uffe2\uff80\uff94was the dominant source of organic carbon (66\uffc2\uffa0\uffc2\uffb1\uffc2\uffa08%; mean\uffc2\uffa0\uffc2\uffb1\uffc2\uffa0standard deviation) to sediments during the end of the deglaciation, with fluxes more than twice as high (8.0\uffc2\uffa0\uffc2\uffb1\uffc2\uffa04.6\uffc2\uffa0g\uffc2\uffb7m\uffe2\uff88\uff922\uffc2\uffb7year\uffe2\uff88\uff921) as in the late Holocene (3.1\uffc2\uffa0\uffc2\uffb1\uffc2\uffa01.0\uffc2\uffa0g\uffc2\uffb7m\uffe2\uff88\uff922\uffc2\uffb7year\uffe2\uff88\uff921). These results are consistent with late deglacial PF\uffe2\uff80\uff90C remobilization observed in a Laptev Sea record, yet in contrast with PF\uffe2\uff80\uff90C sources, which at that location were dominated by active layer material from the Lena River watershed. Release of dormant PF\uffe2\uff80\uff90C from erosion of coastal permafrost during the end of the last deglaciation indicates vulnerability of Ice Complex Deposit in response to future warming and sea level changes.Globally, mangrove forests represents only 0.7% of world's tropical forested area but are highly threatened due to susceptibility to climate change, sea level rise, and increasing pressures from human population growth in coastal regions. Our study was carried out in the Bhitarkanika Conservation Area (BCA), the second\uffe2\uff80\uff90largest mangrove area in eastern India. We assessed total ecosystem carbon (C) stocks at four land use types representing varying degree of disturbances. Ranked in order of increasing impacts, these sites included dense mangrove forests, scrub mangroves, restored/planted mangroves, and abandoned aquaculture ponds. These impacts include both natural and/or anthropogenic disturbances causing stress, degradation, and destruction of mangroves. Mean vegetation C stocks (including both above\uffe2\uff80\uff90 and belowground pools; mean\uffc2\uffa0\uffc2\uffb1\uffc2\uffa0standard error) in aquaculture, planted, scrub, and dense mangroves were 0, 7\uffc2\uffa0\uffc2\uffb1\uffc2\uffa04, 65\uffc2\uffa0\uffc2\uffb1\uffc2\uffa011 and 100\uffc2\uffa0\uffc2\uffb1\uffc2\uffa011 Mg C/ha, respectively. Average soil C pools for aquaculture, planted, scrub, and dense mangroves were 61\uffc2\uffa0\uffc2\uffb1\uffc2\uffa08, 92\uffc2\uffa0\uffc2\uffb1\uffc2\uffa020, 177\uffc2\uffa0\uffc2\uffb1\uffc2\uffa014, and 134\uffc2\uffa0\uffc2\uffb1\uffc2\uffa017 Mg C/ha, respectively. Mangrove soils constituted largest fraction of total ecosystem C stocks at all sampled sites (aquaculture [100%], planted [90%], scrub [72%], and dense mangrove [57%]). Within BCA, the four studied land use types covered an area of ~167\uffc2\uffa0km2 and the total ecosystem C stocks were 0.07\uffc2\uffa0Tg C for aquaculture (~12\uffc2\uffa0km2), 0.25\uffc2\uffa0Tg C for planted/ restored mangrove (~24\uffc2\uffa0km2), 2.29\uffc2\uffa0teragrams (Tg) Tg C for scrub (~93\uffc2\uffa0km2), and 0.89\uffc2\uffa0Tg C for dense mangroves (~38\uffc2\uffa0km2). Although BCA is protected under Indian wildlife protection and conservation laws, ~150 000 people inhabit this area and are directly or indirectly dependent on mangrove resources for sustenance. Estimates of C stocks of Bhitarkanika mangroves and recognition of their role as a C repository could provide an additional reason to support conservation and restoration of Bhitarkanika mangroves. Harvesting or destructive exploitation of mangroves by local communities for economic gains can potentially be minimized by enabling these communities to avail themselves of carbon offset/conservation payments under approved climate change mitigation strategies and actions.

", "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": "10.5194/bg-13-6121-2016", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:22:39Z", "type": "Journal Article", "created": "2016-11-14", "title": "Contrasting composition of terrigenous organic matter in the dissolved, particulate and sedimentary organic carbon pools on the outer East Siberian Arctic Shelf", "description": "

Abstract. Fluvial discharge and coastal erosion of the permafrost-dominated East Siberian Arctic delivers large quantities of terrigenous organic carbon (Terr-OC) to marine waters. The composition and fate of the remobilized Terr-OC needs to be better constrained as it impacts the potential for a climate\u2013carbon feedback. In the present study, the bulk isotope (\u03b413C and \u039414C) and macromolecular (lignin-derived phenols) composition of the cross-shelf exported organic carbon (OC) in different marine pools is evaluated. For this purpose, as part of the SWERUS-C3 expedition (July\u2013September 2014), sediment organic carbon (SOC) as well as water column (from surface and near-bottom seawater) dissolved organic carbon (DOC) and particulate organic carbon (POC) samples were collected along the outer shelves of the Kara Sea, Laptev Sea and East Siberian Sea. The results show that the Lena River and the DOC may have a preferential role in the transport of Terr-OC to the outer shelf. DOC concentrations (740\u20133600\u202f\u00b5g\u202fL\u22121) were 1 order of magnitude higher than POC (20\u2013360\u202f\u00b5g\u202fL\u22121), with higher concentrations towards the Lena River plume. The \u03b413C signatures in the three carbon pools varied from \u221223.9\u202f\u00b1\u202f1.9\u202f\u2030 in the SOC, \u221226.1\u202f\u00b1\u202f1.2\u202f\u2030 in the DOC and \u221227.1\u202f\u00b1\u202f1.9\u202f\u2030 in the POC. The \u039414C values ranged between \u2212395\u202f\u00b1\u202f83 (SOC), \u2212226\u202f\u00b1\u202f92 (DOC) and \u2212113\u202f\u00b1\u202f122\u202f\u2030 (POC). These stable and radiocarbon isotopes were also different between the Laptev Sea and the East Siberian Sea. Both DOC and POC showed a depleted and younger trend off the Lena River plume. Further, the Pacific inflow and the sea-ice coverage, which works as a barrier preventing the input of \u201cyoung\u201d DOC and POC, seem to have a strong influence in these carbon pools, presenting older and more enriched \u03b413C signatures under the sea-ice extent. Lignin phenols exhibited higher OC-normalized concentrations in the SOC (0.10\u20132.34\u202fmg\u202fg\u22121\u202fOC) and DOC (0.08\u20132.40\u202fmg\u202fg\u22121\u202fOC) than in the POC (0.03\u20131.14\u202fmg\u202fg\u22121\u202fOC). The good relationship between lignin and \u039414C signatures in the DOC suggests that a significant fraction of the outer-shelf DOC comes from \u201cyoung\u201d Terr-OC. By contrast, the slightly negative correlation between lignin phenols and \u039414C signatures in POC, with higher lignin concentrations in older POC from near-bottom waters, may reflect the off-shelf transport of OC from remobilized permafrost in the nepheloid layer. Syringyl\u202f\u2215\u202fvanillyl and cinnamyl\u202f\u2215\u202fvannillyl phenol ratios presented distinct clustering between DOC, POC and SOC, implying that those pools may be carrying different Terr-OC of partially different origin. Moreover, 3,5-dihydroxybenzoic acid to vanillyl phenol ratios and p-coumaric acid to ferulic acid ratios, used as a diagenetic indicators, enhanced in POC and SOC, suggesting more degradation within these pools. Overall, the key contrast between enhanced lignin yields both in the youngest DOC and the oldest POC samples reflects a significant decoupling of terrestrial OC sources and pathways.

", "keywords": ["QE1-996.5", "ALKALINE CUO OXIDATION; SE LAPTEV SEA; LENA RIVER; TERRESTRIAL CARBON; MARINE-SEDIMENTS; EARLY DIAGENESIS; COASTAL EROSION; NEUTRAL SUGARS; CLIMATE-CHANGE; AMAZON RIVER", "Ecology", "Life", "13. Climate action", "QH501-531", "Geology", "14. Life underwater", "01 natural sciences", "QH540-549.5", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://bg.copernicus.org/articles/13/6121/2016/bg-13-6121-2016.pdf"}, {"href": "https://doi.org/10.5194/bg-13-6121-2016"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/bg-13-6121-2016", "name": "item", "description": "10.5194/bg-13-6121-2016", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-13-6121-2016"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-06-28T00:00:00Z"}}, {"id": "10.25338/B8P92J", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:21:26Z", "type": "Dataset", "created": "2023-07-13", "title": "Spatio-temporal dynamics of insect communities in constructed and natural tidal marshes with distinct landscape positions", "description": "unspecified| | | | | | | | | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------- | ------------------------------------------------- | ------------------------------------------------------------------------------------------------------------- | ------- | ------------------------------------------------------ | | This readme file was generated on 2023-07-05 by Emily Fromenthal | | | | | | | | | | | | | | | | GENERAL INFORMATION | | | | | | | | | | | | | | | | Title of Dataset: Beyond the Marsh: Tidal Marsh Landscape Position Influences Insect Community Structure | | | | | | | | | | | | | | | | Author/Principal Investigator Information | | | | | | | | Name: Emily Fromenthal | | | | | | | | Institution: University of Alabama | | | | | | | | Email:[efromenthal@crimson.ua.edu](mailto:efromenthal@crimson.ua.edu) | | | | | | | | Author/Associate or Co-investigator Information | | | | | | | | Name: Shelby Rinehart | | | | | | | | ORCID:0000-0001-9820-1350 | | | | | | | | Institution: University of Alabama & Drexel University | | | | | | | | Email: [srinehart@ucdavis.edu](mailto:srinehart@ucdavis.edu) OR [sarinehart@ua.edu](mailto:sarinehart@ua.edu) | | | | | | | | Author/Associate or Co-investigator Information | | | | | | | | Name: Jacob M Dybiec | | | | | | | | Institution: University of Alabama | | | | | | | | Email: [jmdybiec@crimson.ua.edu](mailto:jmdybiec@crimson.ua.edu) | | | | | | | | Author/Associate or Co-investigator Information | | | | | | | | Name: Julia A Cherry | | | | | | | | Institution: University of Alabama | | | | | | | | Email: [cherr002@ua.edu](mailto:cherr002@ua.edu) | | | | | | | | | | | | | | | | Date of data collection: 2021-04 through 2021-10 | | | | | | | | | | | | | | | | Geographic location of data collection: West Fowl River | Coden | Alabama | USA | | | | | CON-1: 30.368 N | -88.152 W | | | | | | | CON-2: 30.367 N | -88.151 W | | | | | | | NAT: 30.368 N | -88.160 W | | | | | | | | | | | | | | | Information about funding sources that supported the collection of the data: | | | | | | | | The Society of Wetland Scientists | | | | | | | | University of Alabama | Department of Biological Sciences | | | | | | | | | | | | | | | | | | | | | | | SHARING/ACCESS INFORMATION | | | | | | | | | | | | | | | | Licenses/restrictions placed on the data: None | | | | | | | | | | | | | | | | Links to publications that cite or use the data: Please see the publication associated with these data in XXXXXXXX (doi: XXXXXX) | | | | | | | | | | | | | | | | Recommended citation for this dataset: | | | | | | | | | | | | | | | | Fromenthal | E | S. Rinehart | J.M. Dybiec | and J.A Cherry. Beyond the Marsh: Tidal Marsh Landscape Position Influences Insect Community Structure. Dryad | Dataset | [https://doi.org/XXXXXXXXX](https://doi.org/XXXXXXXXX) | | | | | | | | | | | | | | | | | | DATA & FILE OVERVIEW | | | | | | | | | | | | | | | | File List: | | | | | | | | Taxa- count data for each insect taxon observed at study sites | | | | | | | | Biodiversity- total individuals | taxa richness | and Shannon-Weiner diversity (H') indeces for each quadrat | | | | | | FloralCounts- total count | average count | standard deviation | and variance of Juncus roemerianus inflorescences | | | | | Herbivory- percent area of herbivory damage on J. roemerianus shoots collected from each quadrat in each marsh. | | | | | | | | | | | | | | | | METHODOLOGICAL INFORMATION | | | | | | | | | | | | | | | | Description of methods used for collection/generation of data: See the publication associated with these data in XXXXXXXX (doi: XXXXXX) for details on methods. | | | | | | | | | | | | | | | | Methods for processing the data: See the publication associated with these data in XXXXXXXX (doi: XXXXXX) for details on methods. | | | | | | | | | | | | | | | | Instrument- or software-specific information needed to interpret the data: Microsoft Excel | | | | | | | | | | | | | | | | Environmental/experimental conditions: CON-1 and CON-2 are two constructed tidal marshes hydrologically connected via canal to the West Fowl River in Mobile County | Alabama. NAT is a reference marsh directly connected to the West Fowl River. All marshes are located in a sub-tropical estuary along the northern Gulf fo Mexico. | | | | | | | | | | | | | | | Describe any quality-assurance procedures performed on the data: | | | | | | | | General QA/QC done by all co-authors. | | | | | | | | | | | | | | | | People involved with sample collection | processing | analysis | and/or submission: | | | | | Emily Fromenthal was involved in sample collection | processing | analysis | and submission. | | | | | Shelby Rinehart was involved in sample collection | analysis | and submission. | | | | | | Jacob M Dybiec was involved in sample collection and analysis. | | | | | | | | Julia A Cherry was involved in analysis and submission. | | | | | | | | | | | | | | | | DATA-SPECIFIC INFORMATION FOR: Taxa | | | | | | | | Number of variables: 86 | | | | | | | | Number of cases/rows: 146 | | | | | | | | Missing data codes: No data missing. | | | | | | | | Specialized formats or other abbreviations used: N/A. | | | | | | | | | | | | | | | | Variable List: | | | | | | | | Marsh-indicates the marsh (CON1 | CON2 | or NAT) that data was collected from | | | | | | Month- month that data was collected | | | | | | | | Method- method used to collect data (Pan | Net | Light | FC) | | | | | Quadrat- indicates the replicate quadrat (i.e. | CON1-1 | CON1-2 | etc.) that data was collected from | | | | | Variables E-CH (5-86) represent counts of indiviual taxa identified to the lowest possible taxa (family | in most cases). | | | | | | | | | | | | | | | DATA-SPECIFIC INFORMATION FOR: Biodiversity | | | | | | | | Number of variables: 5 | | | | | | | | Number of cases/rows: 12 | | | | | | | | | | | | | | | | Missing data codes: No missing data. | | | | | | | | Specialized formats or other abbreviations used: | | | | | | | | H'- Shannon-Wiener diversity index; calculated using the formula H^'= - _(i=1)^Rp _i ln p _i | | | | | | | | | | | | | | | | Variable List: | | | | | | | | Marsh- indicates the marsh (CON1 | CON2 | or NAT) that data was collected from | | | | | | Quadrat- indicates the replicate quadrat (i.e. | CON1-1 | CON1-2 | etc.) that data was collected from | | | | | Total Individuals- total count of individual insects per quadrat across all sampling strategies. | | | | | | | | Taxa Richness- number of unique taxa identified per quadrat across all sampling stratagies. | | | | | | | | H'- Shannon-Wiener diversity calculated for each quadrat across all sampling stratagies. | | | | | | | | | | | | | | | | DATA-SPECIFIC INFORMATION FOR: FloralCounts | | | | | | | | Number of variables: 4 | | | | | | | | Number of cases/rows: 37 | | | | | | | | | | | | | | | | Missing data codes: No missing data. | | | | | | | | Specialized formats or other abbreviations used: None | | | | | | | | | | | | | | | | Variable List: | | | | | | | | Marsh- indicates the marsh (CON1 | CON2 | or NAT) that data was collected from | | | | | | Quadrat- indicates the replicate quadrat (i.e. | CON1-1 | CON1-2 | etc.) that data was collected from | | | | | Replicate- inducates which sub-sample from each quadrat is associated with each observation | | | | | | | | Floral count- the number of flowering J. roemerianus shoots in each observation. | | | | | | | | | | | | | | | | DATA-SPECIFIC INFORMATION FOR: Herbivory | | | | | | | | Number of variables: 7 | | | | | | | | Number of cases/rows: 12 | | | | | | | | | | | | | | | | Missing data codes: No missing data. | | | | | | | | Specialized formats or other abbreviations used: N/A | | | | | | | | | | | | | | | | Variable List: | | | | | | | | Quadrat- indicates the replicate quadrat (i.e. | CON1-1 | CON1-2 | etc.) that data was collected from. | | | | | Marsh- notes which tidal wetland site the sample was collected from. | | | | | | | | Herbivory (sq inch)- area of insect herbivory damage/scars in square inches | | | | | | | | Herbivory (cm2)- area of insect herbivory damage/scars per cm2 | | | | | | | | Total area (sq inch)- total size (area) of J. roemerianus shoots in square inches | | | | | | | | Total area (cm2)- total size (area) of of J. roemerianus shoots in cm2. | | | | | | | | % Herbivory- the percent area of J. roemerianus shoots with insect herbivory damage | | | | | | |", "keywords": ["coastal wetlands", "Gulf of Mexico", "Restoration ecology", "insect ecology", "Seasonal variations", "Spatial and landscape ecology", "FOS: Natural sciences", "Species diversity"], "contacts": [{"organization": "Rinehart, Shelby, Fromenthal, Emily, Dybiec, Jacob, Cherry, Julia,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.25338/B8P92J"}, {"rel": "self", "type": "application/geo+json", "title": "10.25338/B8P92J", "name": "item", "description": "10.25338/B8P92J", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.25338/B8P92J"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-04-26T00:00:00Z"}}, {"id": "10.3354/meps11447", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:21:32Z", "type": "Journal Article", "created": "2015-08-06", "title": "Ecosystem Engineering By Large Grazers Enhances Carbon Stocks In A Tidal Salt Marsh", "description": "

Grazers can have a large impact on ecosystem processes and are known to change vegetation composition. However, knowledge of how the long-term presence of grazers affects soil carbon sequestration is limited. In this study, we estimated total accumulated organic carbon in soils of a back-barrier salt marsh and determined how this is affected by long-term grazing by both small and large grazers in relation to age of the ecosystem. In young marshes, where small grazers predominate, hare and geese have a limited effect on total accumulated organic carbon. In older, mature marshes, where large grazers predominate, cattle substantially enhanced carbon content in the marsh soil. We ascribe this to a shift in biomass distribution in the local vegetation towards the roots in combination with trampling effects on the soil chemistry. These large grazers thus act as ecosystem engineers: their known effect on soil compaction (based on a previous study) enhances anoxic conditions in the marsh soil, thereby reducing the oxygen available for organic carbon decomposition by the local microbial community. This study showed that the indirect effects of grazing can significantly enhance soil carbon storage through changing soil abiotic conditions. This process should be taken into account when estimating the role of ecosystems in reducing carbon dioxide concentration in the atmosphere. Ultimately, we propose a testable conceptual framework that includes 3 pathways by which grazers can alter carbon storage: (1) through above-ground biomass removal, (2) through alteration of biomass distribution towards the roots and/or (3) by changing soil abiotic conditions that affect decomposition.

", "keywords": ["Carbon sequestration", "0106 biological sciences", "IMPACT", "SEA-LEVEL RISE", "01 natural sciences", "Coastal wetland", "Climate change", "Biology", "Soil compaction", "Succession", "VEGETATION SUCCESSION", "0105 earth and related environmental sciences", "2. Zero hunger", "CLIMATE-CHANGE", "WETLAND SOILS", "WADDEN SEA", "15. Life on land", "PRODUCTIVITY GRADIENT", "6. Clean water", "Chemistry", "Grazing", "ORGANIC-MATTER", "NORTH-SEA", "REDOX OSCILLATION", "13. Climate action", "Redox potential"]}, "links": [{"href": "https://doi.org/10.3354/meps11447"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Marine%20Ecology%20Progress%20Series", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3354/meps11447", "name": "item", "description": "10.3354/meps11447", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3354/meps11447"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-10-14T00:00:00Z"}}, {"id": "10.3389/feart.2021.630493", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-27T16:21:33Z", "type": "Journal Article", "created": "2021-03-26", "title": "Permafrost Carbon and CO2 Pathways Differ at Contrasting Coastal Erosion Sites in the Canadian Arctic", "description": "

Warming air and sea temperatures, longer open-water seasons and sea-level rise collectively promote the erosion of permafrost coasts in the Arctic, which profoundly impacts organic matter pathways. Although estimates on organic carbon (OC) fluxes from erosion exist for some parts of the Arctic, little is known about how much OC is transformed into greenhouse gases (GHGs). In this study we investigated two different coastal erosion scenarios on Qikiqtaruk \uffe2\uff80\uff93 Herschel Island (Canada) and estimate the potential for GHG formation. We distinguished between adelayedrelease represented bymud debrisdraining a coastal thermoerosional feature and adirectrelease represented bycliff debrisat a low collapsing bluff. Carbon dioxide (CO2) production was measured during incubations at 4\uffc2\uffb0C under aerobic conditions for two months and were modeled for four months and a full year. Our incubation results show thatmud debrisandcliff debrislost a considerable amount of OC as CO2(2.5 \uffc2\uffb1 0.2 and 1.6 \uffc2\uffb1 0.3% of OC, respectively). Although relative OC losses were highest in mineralmud debris, higher initial OC content and fresh organic matter incliff debrisresulted in a \uffe2\uff88\uffbcthree times higher cumulative CO2release (4.0 \uffc2\uffb1 0.9 compared to 1.4 \uffc2\uffb1 0.1 mg CO2gdw\uffe2\uff80\uff931), which was further increased by the addition of seawater. After four months, modeled OC losses were 4.9 \uffc2\uffb1 0.1 and 3.2 \uffc2\uffb1 0.3% in set-ups without seawater and 14.3 \uffc2\uffb1 0.1 and 7.3 \uffc2\uffb1 0.8% in set-ups with seawater. The results indicate that adelayedrelease may support substantial cycling of OC at relatively low CO2production rates during long transit timesonshoreduring the Arctic warm season. By contrast,directerosion may result in a single CO2pulse and less substantial OC cyclingonshoreas transfer times are short. Once eroded sediments are deposited in thenearshore, highest OC losses can be expected. We conclude that the release of CO2from eroding permafrost coasts varies considerably between erosion types and residence timeonshore. We emphasize the importance of a more comprehensive understanding of OC degradation during the coastal erosion process to improve thawed carbon trajectories and models.Soils play an important role in sequestrating atmospheric CO2. Coastal tidal flats have been intensively reclaimed for food security and living spaces worldwide. We aimed to identify the changes of soil organic carbon (SOC) and total nitrogen (TN) following coastal reclamation and their spatial variation in the coastal area of mid-Eastern China to provide information for coastal cropland management. We measured SOC and TN of 463 soil samples in the coastal plain of mid-Eastern China. The results showed that SOC and TN increased highly from the uncultivated coastal tidal flat (2.49 g\uffc2\uffb7kg\uffe2\uff88\uff921 and 0.21 g\uffc2\uffb7kg\uffe2\uff88\uff921, respectively) to the cropland (10.73 g\uffc2\uffb7kg\uffe2\uff88\uff921 and 1.3 g\uffc2\uffb7kg\uffe2\uff88\uff921, respectively). After long-term cultivation, SOC and TN in the old farmland (12.98 g\uffc2\uffb7kg\uffe2\uff88\uff921 and 1.49 g\uffc2\uffb7kg\uffe2\uff88\uff921, respectively) were greater than those in the young farmland (5.76 g\uffc2\uffb7kg\uffe2\uff88\uff921 and 0.86 g\uffc2\uffb7kg\uffe2\uff88\uff921, respectively). The density of SOC in the uncultivated coastal tidal flat, young farmland, and old farmland were 0.68 kg\uffc2\uffb7C\uffc2\uffb7m\uffe2\uff88\uff922, 1.52 kg\uffc2\uffb7C\uffc2\uffb7m\uffe2\uff88\uff922, and 3.31 kg\uffc2\uffb7C\uffc2\uffb7m\uffe2\uff88\uff922, respectively. The density of TN in the uncultivated coastal tidal flat, young farmland and old farmland were 0.05 kg\uffc2\uffb7N\uffc2\uffb7m\uffe2\uff88\uff922, 0.23 kg\uffc2\uffb7N\uffc2\uffb7m\uffe2\uff88\uff922, and 0.38 kg\uffc2\uffb7N\uffc2\uffb7m\uffe2\uff88\uff922, respectively. The C/N (11.17) in the uncultivated coastal tidal flat was highest comparing to that in the young and old farmland due to lower nitrogen. The C/N increased from 6.78 to 8.71 following cultivation. Reclaimed coastal tidal flats had high carbon and nitrogen sequestration potential that not only mitigated the threat of global warming, but also improved soil fertility for crop production. Coastal management of cropland should consider the spatial distribution of SOC and TN to improve ecosystem services of coastal soils.

", "keywords": ["2. Zero hunger", "Carbon Sequestration", "China", "Conservation of Natural Resources", "ecosystem services; coastal reclamation; carbon sequestration; prograding coast", "Nitrogen", "04 agricultural and veterinary sciences", "15. Life on land", "Article", "Carbon", "6. Clean water", "Soil", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "14. Life underwater"]}, "links": [{"href": "http://www.mdpi.com/1660-4601/14/7/780/pdf"}, {"href": "https://doi.org/10.3390/ijerph14070780"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Journal%20of%20Environmental%20Research%20and%20Public%20Health", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/ijerph14070780", "name": "item", "description": "10.3390/ijerph14070780", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/ijerph14070780"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-07-14T00:00:00Z"}}, {"id": "10.5061/dryad.902k846", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:22:26Z", "type": "Dataset", "title": "Data from: The influence of topography and soil phosphorus on the vegetation of Korup Forest Reserve, Cameroun", "description": "unspecifiedSouthern Korup Transect Plots DataText to files on Korup plot data of Gartlan and Thomas In the southern part of Korup National Park (58o10 N, 8o70 E), 135 plots, each of 80 m x 80m in area, were laid out at 150-m intervals along four E-to-W transect lines (P, Q, R and S; each of 34 plots, excepting Q with 33). Lines were ~5 km in length, and separated S-to-N at ~4 km distance. Shrubs and small trees were very lightly cut to show a way between plots. Each plot was divided into four 40-m x 40-m subplots, although only data at the whole plot level are archived here. Details of the layout and environmental information are found in Gartlan et al. (1986). All trees of \u2265 30 cm gbh (girth at breast height, 1.3 m) were measured and identified. Coordinate locations of trees within subplots were not taken: trees were not tagged. Lianas were also recorded but are not included here. The plots were not marked at their corners in any permanent manner apart from an indication of their location by single tags on trees at the start of each plot on the line. The field work was undertaken in 1975-1977, principally by J. S. Gartlan, D. W. Thomas and F. Namata. Plots were relocatable up to about 1998, after which time many tags had become very difficult to find. Except for transect P, the southernmost line, and which has continued in use for further research up until the present, the other lines have faded. There are four ASCII-text files. These were the inputs for the abundance tables, classifications and ordinations in Gartlan et al. (1986). (1) \u2018korbar.txt\u2019 has the basal areas (ba) per plot (units: m2/0.1-ha) of each tree species, written in the Cornell Condensed Format (CCF) of the programs DECORANA and CANOCO. Each line of the data has a plot number followed by four couplets of \u2018species number and ba-value\u2019. (Some lines have trailing zero entries.) Plots numbers are: 1-34, transect P; 35-67, Q; 68-101, R; and 102-135, S. (2) \u2018korfre.txt\u2019 has the numbers of trees of each tree species per plot, corresponding to \u2018korbar.txt\u2019 and also in the CCF. (3) \u2018korlsp.txt\u2019 contains a list of the 444 species\u2019 identifier codes (all transects); and (4) \u2018kortax.txt\u2019 is a dictionary of these species\u2019 codes giving their full Latin names and authorities as of 1986, arranged under family names. The taxonomy has not been updated, and the modern user may want to revise it using an international plant names\u2019 index. These data were also the basis to Newbery & Gartlan (1996) and Newbery et al. (1988, 1997, 1998). _References Gartlan, J. S., D. M. Newbery, D. W. Thomas, and P. G. Waterman. 1986. The influence of topography and soil phosphorus on the vegetation of Korup Forest Reserve, Cameroun. Vegetatio 65:131-148. Newbery, D. M., I. J. Alexander, and J. A. Rother. 1997. Phosphorus dynamics in a lowland African rain forest: The influence of ectomycorrhizal trees. Ecological Monographs 67:367-409. Newbery, D. M., I. J. Alexander, D. W. Thomas, and J. S. Gartlan. 1988. Ectomycorrhizal Rain-Forest Legumes and Soil-Phosphorus in Korup-National-Park, Cameroon. New Phytologist 109:433-450. Newbery, D. M. and J. S. Gartlan. 1996. Structural analysis of the rain forest at Korup and Douala Edea, Cameroon. Proceedings of the Royal Society of Edinburgh B 104:177-224. Newbery, D. M., N. C. Songwe, and G. B. Chuyong. 1998. Phenology and dynamics of an African rain forest at Korup, Cameroon. Pages 267-308 in D. M. Newbery, H. H. T. Prins, and N. D. Brown, editors. Dynamics of tropical communities. Blackwell Science, Oxford.", "keywords": ["2. Zero hunger", "vegetation gradient", "soil phosphorus", "Oubanguia alata", "Atlantic Coastal formation", "15. Life on land", "Microberlinia bisulcata"], "contacts": [{"organization": "Thomas, Duncan W., Newbery, David M., Waterman, P. G., Gartlan, J. S.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.902k846"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.902k846", "name": "item", "description": "10.5061/dryad.902k846", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.902k846"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-08-03T00:00:00Z"}}, {"id": "10.5061/dryad.931zcrjtp", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-07-27T16:22:27Z", "type": "Dataset", "created": "2024-06-03", "title": "Carbon sequestration in intact rare ecosystems and their encroaching forests (Michigan, USA)", "description": "unspecifiedRising atmospheric carbon dioxide levels are impacting global temperatures, ecological systems, and human societies. Natural carbon sequestration through the conservation of soil and native ecosystems may slow or reduce the amount of CO2 in the atmosphere, and thus slow or mitigate the rate of global warming. Most of the research investigating carbon sequestration in natural systems occurs in forested ecosystems, however rare ecosystems such as coastal plain marshes and wet-mesic sand prairie collectively may serve as significant carbon sinks. Our objectives were to measure and assess the importance of carbon sequestration in three rare ecosystems (oak-pine barrens, coastal plain marsh, and wet-mesic sand prairie) in western Lower Michigan. We measured carbon in standing vegetation, dead organic matter, and soils within each ecosystem and adjacent encroaching forested areas. Driven by tree carbon, total carbon stocks in encroaching areas were greater than in intact rare ecosystems. Soil organic carbon was greater in all intact ecosystems, though only significantly so in coastal plain marsh.\u00a0 Principal components analysis explained 72% of the variation and revealed differences between intact ecosystems and their encroaching areas. Linear models using the ratio of red to green light reflectance successfully predicted SOC in intact coastal plain marsh and wet-mesic sand prairie. Our results infer the importance of these rare ecosystems in sequestering carbon in soils and support the need to establish federal or state management practices for the conservation of these systems.", "keywords": ["Carbon sequestration", "rare ecosystems", "coastal plain marsh", "Climate change", "oak-pine barrens", "FOS: Natural sciences", "wet-mesic sand prairie"], "contacts": [{"organization": "Woller-Skar, Meg, Locher, Alexandra, Audia, Ellen,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.931zcrjtp"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.931zcrjtp", "name": "item", "description": "10.5061/dryad.931zcrjtp", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.931zcrjtp"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-06-17T00:00:00Z"}}, {"id": "10.5061/dryad.3bk3j9kt3", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:22:23Z", "type": "Dataset", "created": "2024-03-31", "title": "Data from: Burrowing crab effects on the properties and functions of coastal soft sediments", "description": "unspecified# Data from: Burrowing crab effects on the properties and functions of coastal soft sediments [https://doi.org/10.5061/dryad.3bk3j9kt3](https://doi.org/10.5061/dryad.3bk3j9kt3) Effect size calculations (including means, sample sizes, and standard deviation) of crab burrowing effects (i.e., high density vs low density) on the properties, nutrient stocks, and functions of coastal sediments. Data comes from studies conducted across Africa, Asia, Australia, North America, and South America. ## Description of the data and file structure **File list:** 1. Rinehart_et_al.202X_Effectsizes CSV file containing the Hedges d effect size calculations (including the raw means, sample sizes, and standard deviations) for each extracted comparison/study from all 59 manuscripts. Additional extracted data (e.g., crab taxa, experimental conditions, habitat, burrow density) are also included for each comparison/study. 2. Rinehart_et_al.202X_Publicationbias CSV file containing the pooled standard deviation and the Hedges d effect size calculation for each comparison/study. This datafile was used to conduct analyses of publication bias for a resulting systematic meta-analysis. **Data-specific information for:** (1) Rinehart_et_al.202X_Effectsizes **Number of variables:** 47 **Number of cases/rows:** 1423 Variable List:\u00a0 1. id: the unique code assigned to each data row. 2. reference: author, year, and journal for each data source. 3. pub_year: year of reference publication. One in preparation study was included in the dataset (Rinehart et al. 20XX), it's publication year is denoted as 20XX. 4. paper id: the unique code assigned to each manuscript included in the dataset. 5. continent: the continent where the data was collected. 6. country: the country where the data was collected. 7. state: the state (united states only) where the data was collected. 8. estuary: the name of the estuary where the data was collected. 9. latitude_dd: the latitude associated with the data collected in decimal degrees (dd). 10. longitude_dd: the longitude associated with the data collected in decimal degrees (dd). 11. ecosystem: the type of ecosystem (e.g., salt marsh, mangrove forest, tidal flat) associated with the collected data. 12. vegetation: categorical variable noting the presence (vegetated) or absence (not unvegetated) of any vegetation. 13. ecosystem_type: categorical variable noting if the ecosystem was restored, created, or natural. 14. relative_salinity: categorical variable noting the relative salinity in the ecosystem where the data was collected. 15. tidal_amplitude_m: the tidal amplitude (in meters) in the ecosystem where the data was collected. 16. tidal_cycle: categorical variable noting the type of tidal cycle (e.g., diurnal) in the ecosystem where the data was collected. 17. soil_type: categorical variable noting the soil type (e.g., sand) in the ecosystem where the data was collected. 18. elevation_m: the elevation (in meters) of the ecosystem where the data was collected. 19. study_duration_d: the length of time (in days) that the study ran (applies mainly to manipulative studies). 20. study_timing: the seasons or months during which the study was run. 21. dominant_plant_genus: the genus of the dominant plant present in the ecosystem where the data was collected. 22. dominant_plant_species: the species of the dominant plant present in the ecosystem where the data was collected. 23. dominant_plant_functional_group: categorical variable noting the functional group (e.g., grass) of the dominant plant species in the ecosystem where the data was collected. 24. crab_genus: the genus of the dominant burrowing crab used in the study. Studies with mixed crab communities are denoted with by 'mixed'. 25. crab_species: the species of the dominant burrowing crab used in the study. Studies with mixed crab communities are denoted with by 'mixed'. 26. crab_diet: categorical variable noting the main feeding strategy (e.g., herbivore, detritivore) used by the dominant crab species. 27. crab_superfamily: the superfamily of the dominant burrowing crab used in the study. Studies with mixed crab communities are denoted with by 'mixed'. 28. mean_burrow_diameter_high_crab_treatment_mm: the mean burrow diameter in the study's high crab treatment in mm. 29. mean_burrow_diameter_low_crab_treatment_mm: the mean burrow diameter in the study's low crab treatment in mm. 30. mean_burrow_depth_cm: the mean burrow depth in cm reported by the study. 31. burrow_density_high_crab_m^2: the mean crab burrow density per meter-squared reported in the study's high crab treatment. 32. burrow_density_low_crab_m^2: the mean crab burrow density per meter-squared reported in the study's low crab treatment. 33. experiment_type: categorical variable noting if the study used observational or manipulative methodologies. 34. experiment_setting: categorical variable noting if the study was conducted in a laboratory or field setting. Laboratory studies also include outdoor mesocosm studies. 35. field_location: categorical variable noting where studies conducted in the field placed their study relative to the shoreline. Specifically, we noted if studied sampled in the ecosystem interior (far from shoreline) or at the ecosystem edge (adjacent to the shoreline). 36. soil_depth_cm: the depth, in cm, within the soil profile from which the sediment samples were collected. 37. soil_characteristic_measured: categorical variable identifying the specific sediment property, nutrient stock, or function that was quantified by the study. 38. soil_characteristic_units: the original units used to quantify the soil characteristic within the study. 39. mean_low_crab: the mean value of the soil characteristic measured in the low crab treatment within the study. 40. sd_low_crab: the standard deviation of the soil characteristic measured in the low crab treatment within the study. 41. n_low_crab: the sample size of the soil characteristic measured in the low crab treatment within the study. 42. mean_high_crab: the mean value of the soil characteristic measured in the high crab treatment within the study. 43. sd_high_crab: the standard deviation of the soil characteristic measured in the high crab treatment within the study. 44. n_high_crab: the sample size of the soil characteristic measured in the high crab treatment within the study. 45. crab_density: categorical variable noting if the study documented relative burrowing crab density within their study using burrow density (burrow) or counts of individuals (individuals). 46. hedges_d: the hedges d effect size calculated for the effects of burrowing crabs on the measured sediment characteristic. Hedges d values were calculated in OpenMee software (see code/software below). Positive effect sizes indicate that burrowing crabs increased the value of the sediment measurement, while negative effect sized indicate that burrowing crabs decreased the value of the sediment measurement. 47. hedges_d_var: the variation of the hedges d effect size calculated for the effects of burrowing crabs on the measured sediment characteristic. Hedges d variation values were calculated in OpenMee software (see code/software below). **Missing data codes:** na Data-specific information for: (2) Rinehart_et_al.202X_Publicationbias ***Number of variables:*** 22 ***Number of cases/rows:*** 1423 Variable List:\u00a0 1. id: the unique code assigned to each data row. 2. reference: author, year, and journal for each data source. 3. pub_year: year of reference publication. One in preparation study was included in the dataset (Rinehart et al. 20XX), it's publication year is denoted as 20XX. 4. paper id: the unique code assigned to each manuscript included in the dataset. 5. ecosystem: the type of ecosystem (e.g., salt marsh, mangrove forest, tidal flat) associated with the collected data. 6. vegetation: categorical variable noting the presence (vegetated) or absence (not unvegetated) of any vegetation. 7. crab_superfamily: the superfamily of the dominant burrowing crab used in the study. Studies with mixed crab communities are denoted with by 'mixed'. 8. burrow_density_high_crab_m^2: the mean crab burrow density per meter-squared reported in the study's high crab treatment. 9. experiment_type: categorical variable noting if the study used observational or manipulative methodologies. 10. experiment_setting: categorical variable noting if the study was conducted in a laboratory or field setting. Laboratory studies also include outdoor mesocosm studies. 11. soil_characteristic_measured: categorical variable identifying the specific sediment property, nutrient stock, or function that was quantified by the study. 12. soil_characteristic_units: the original units used to quantify the soil characteristic within the study. 13. mean_low_crab: the mean value of the soil characteristic measured in the low crab treatment within the study. 14. sd_low_crab: the standard deviation of the soil characteristic measured in the low crab treatment within the study. 15. n_low_crab: the sample size of the soil characteristic measured in the low crab treatment within the study. 16. mean_high_crab: the mean value of the soil characteristic measured in the high crab treatment within the study. 17. sd_high_crab: the standard deviation of the soil characteristic measured in the high crab treatment within the study. 18. n_high_crab: the sample size of the soil characteristic measured in the high crab treatment within the study. 19. pooled_sd: the pooled standard deviation of the high and low crab treatments for each study. 20. crab_density: categorical variable noting if the study documented relative burrowing crab density within their study using burrow density (burrow) or counts of individuals (individuals). 21. hedges_d: the hedges d effect size calculated for the effects of burrowing crabs on the measured sediment characteristic. Hedges d values were calculated in OpenMee software (see code/software below). Positive effect sizes indicate that burrowing crabs increased the value of the sediment measurement, while negative effect sized indicate that burrowing crabs decreased the value of the sediment measurement. 22. hedges_d_var: the variation of the hedges d effect size calculated for the effects of burrowing crabs on the measured sediment characteristic. Hedges d variation values were calculated in OpenMee software (see code/software below). **Missing data codes:** na ## Sharing/Access information All data are included in the provided datafiles. ## Code/Software Hedges\u2019 *d* (hereafter, *d*) effect sizes were calculated using meta-analysis using OpenMEE software (Build date: 26 July 2016; Wallace et al. 2017). Wallace, B. C., M. J. Lajeunesse, G. Dietz, I. J. Dahabreh, T. A. Trikalinos, C. H. Schmid, and J. Gurevitch. 2017. OpenMEE: Intuitive, open-source software for meta-analysis in ecology and evolutionary biology. Methods in Ecology and Evolution 8:941\u2013947.", "keywords": ["coastal wetlands", "density-dependance", "bioturbation", "animal effects", "Burrowing", "functional traits", "FOS: Earth and related environmental sciences", "habitat effects", "zoogeochemistry"], "contacts": [{"organization": "Rinehart, Shelby", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.3bk3j9kt3"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.3bk3j9kt3", "name": "item", "description": "10.5061/dryad.3bk3j9kt3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.3bk3j9kt3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-04-29T00:00:00Z"}}, {"id": "10.5061/dryad.rn7c5", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:22:33Z", "type": "Dataset", "title": "Data from: Shrubs as ecosystem engineers across an environmental gradient: effects on species richness and exotic plant invasion", "description": "unspecifiedEcosystem-engineering plants modify the physical environment and can increase species diversity and exotic species invasion. At the individual level, the effects of ecosystem engineers on other plants often become more positive in stressful environments. In this study, we investigated whether the community-level effects of ecosystem engineers also become stronger in more stressful environments. Using comparative and experimental approaches, we assessed the ability of a native shrub (Ericameria ericoides) to act as an ecosystem engineer across a stress gradient in a coastal dune in northern California, USA. We found increased coarse organic matter and lower wind speeds within shrub patches. Growth of a dominant invasive grass (Bromus diandrus) was facilitated both by aboveground shrub biomass and by growing in soil taken from shrub patches. Experimental removal of shrubs negatively affected species most associated with shrubs and positively affected species most often found outside of shrubs. Counter to the stress-gradient hypothesis, the effects of shrubs on the physical environment and individual plant growth did not increase across the established stress gradient at this site. At the community level, shrub patches increased beta diversity, and contained greater rarified richness and exotic plant cover than shrub-free patches. Shrub effects on rarified richness increased with environmental stress, but effects on exotic cover and beta diversity did not. Our study provides evidence for the community-level effects of shrubs as ecosystem engineers in this system, but shows that these effects do not necessarily become stronger in more stressful environments.", "keywords": ["ecosystem engineers", "Stress-gradient hypothesis", "Anthropocene", "Bromus diandrus", "15. Life on land", "exotic species", "Ericameria ericoides", "Coastal dunes"], "contacts": [{"organization": "Kleinhesselink, Andrew R., Magnoli, Susan M., Cushman, J. Hall,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.rn7c5"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.rn7c5", "name": "item", "description": "10.5061/dryad.rn7c5", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.rn7c5"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-05-27T00:00:00Z"}}, {"id": "10.5281/zenodo.7729492", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:24:45Z", "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": "10.7910/DVN/VXPUK8", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-27T16:25:42Z", "type": "Dataset", "title": "Cave Subterranean Estuaries: Geological Distribution and Biogeochemical Significance - Jesse Dugan MSc Dissertation", "description": "Raw data for the database 'Cave Subterranean Estuaries: Geological Distribution and Biogeochemical Significance'. Completed in partial fulfillment of the requirements for the degree of Master of Science from the University of Liverpool", "keywords": ["Biogeochemical Cycles", "Estuarine", "Estuary", "Cave", "Volcanic Tube", "Coastal Geology", "Karst", "Coastal Cave", "Conservation", "Chemistry", "Siliciclastic Caves", "Subterranean Estuary", "Earth and Environmental Sciences", "Submarine Groundwater Discharge", "Volcanic Caves"], "contacts": [{"organization": "Dugan, Jesse", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/VXPUK8"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/VXPUK8", "name": "item", "description": "10.7910/DVN/VXPUK8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/VXPUK8"}, {"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": "10261/373686", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-27T16:25:56Z", "type": "Dataset", "title": "Dataset of emerging contaminants in L\u00b4Albufera Natural Park (2019-2020) by target and non-target screening using high resolution mass spectrometry", "description": "Open AccessPeer reviewed", "keywords": ["Sediment Toxicity", "Organic Contaminant", "Coastal Wetland", "Target Identification", "Surface Wave", "Chemical Pollutant", "Risk Assessment"], "contacts": [{"organization": "Soriano, Yolanda, Do\u00f1ate, Emilio, Asins Velis, Sabina, Andreu P\u00e9rez, V., Pic\u00f3, Yolanda,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10261/373686"}, {"rel": "self", "type": "application/geo+json", "title": "10261/373686", "name": "item", "description": "10261/373686", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/373686"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10568/135827", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:26:04Z", "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.Collapse of permafrost coasts delivers large quantities of particulate organic carbon (POC) to Arctic coastal areas. With rapidly changing environmental conditions, sediment and organic carbon (OC) mobilization and transport pathways are also changing. Here, we assess the sources and sinks of POC in the highly dynamic nearshore zone of Herschel Island\uffe2\uff80\uff90Qikiqtaruk (Yukon, Canada). Our results show that POC concentrations sharply decrease, from 15.9 to 0.3\uffc2\uffa0mg\uffc2\uffa0L\uffe2\uff88\uff921, within the first 100\uffe2\uff80\uff93300\uffc2\uffa0m offshore. Simultaneously, radiocarbon ages of POC drop from 16,400 to 3,600 14C years, indicating rapid settling of old permafrost POC to underlying sediments. This suggests that permafrost OC is, apart from a very narrow resuspension zone (<5\uffc2\uffa0m water depth), predominantly deposited in nearshore sediments. While long\uffe2\uff80\uff90term storage of permafrost OC in marine sediments potentially limits biodegradation and its subsequent release as greenhouse gas, resuspension of fine\uffe2\uff80\uff90grained, OC\uffe2\uff80\uff90rich sediments in the nearshore zone potentially enhances OC turnover.Warming air and sea temperatures, longer open-water seasons and sea-level rise collectively promote the erosion of permafrost coasts in the Arctic, which profoundly impacts organic matter pathways. Although estimates on organic carbon (OC) fluxes from erosion exist for some parts of the Arctic, little is known about how much OC is transformed into greenhouse gases (GHGs). In this study we investigated two different coastal erosion scenarios on Qikiqtaruk \uffe2\uff80\uff93 Herschel Island (Canada) and estimate the potential for GHG formation. We distinguished between adelayedrelease represented bymud debrisdraining a coastal thermoerosional feature and adirectrelease represented bycliff debrisat a low collapsing bluff. Carbon dioxide (CO2) production was measured during incubations at 4\uffc2\uffb0C under aerobic conditions for two months and were modeled for four months and a full year. Our incubation results show thatmud debrisandcliff debrislost a considerable amount of OC as CO2(2.5 \uffc2\uffb1 0.2 and 1.6 \uffc2\uffb1 0.3% of OC, respectively). Although relative OC losses were highest in mineralmud debris, higher initial OC content and fresh organic matter incliff debrisresulted in a \uffe2\uff88\uffbcthree times higher cumulative CO2release (4.0 \uffc2\uffb1 0.9 compared to 1.4 \uffc2\uffb1 0.1 mg CO2gdw\uffe2\uff80\uff931), which was further increased by the addition of seawater. After four months, modeled OC losses were 4.9 \uffc2\uffb1 0.1 and 3.2 \uffc2\uffb1 0.3% in set-ups without seawater and 14.3 \uffc2\uffb1 0.1 and 7.3 \uffc2\uffb1 0.8% in set-ups with seawater. The results indicate that adelayedrelease may support substantial cycling of OC at relatively low CO2production rates during long transit timesonshoreduring the Arctic warm season. By contrast,directerosion may result in a single CO2pulse and less substantial OC cyclingonshoreas transfer times are short. Once eroded sediments are deposited in thenearshore, highest OC losses can be expected. We conclude that the release of CO2from eroding permafrost coasts varies considerably between erosion types and residence timeonshore. We emphasize the importance of a more comprehensive understanding of OC degradation during the coastal erosion process to improve thawed carbon trajectories and models.

Abstract. Fluvial discharge and coastal erosion of the permafrost-dominated East Siberian Arctic delivers large quantities of terrigenous organic carbon (Terr-OC) to marine waters. The composition and fate of the remobilized Terr-OC needs to be better constrained as it impacts the potential for a climate\u2013carbon feedback. In the present study, the bulk isotope (\u03b413C and \u039414C) and macromolecular (lignin-derived phenols) composition of the cross-shelf exported organic carbon (OC) in different marine pools is evaluated. For this purpose, as part of the SWERUS-C3 expedition (July\u2013September 2014), sediment organic carbon (SOC) as well as water column (from surface and near-bottom seawater) dissolved organic carbon (DOC) and particulate organic carbon (POC) samples were collected along the outer shelves of the Kara Sea, Laptev Sea and East Siberian Sea. The results show that the Lena River and the DOC may have a preferential role in the transport of Terr-OC to the outer shelf. DOC concentrations (740\u20133600\u202f\u00b5g\u202fL\u22121) were 1 order of magnitude higher than POC (20\u2013360\u202f\u00b5g\u202fL\u22121), with higher concentrations towards the Lena River plume. The \u03b413C signatures in the three carbon pools varied from \u221223.9\u202f\u00b1\u202f1.9\u202f\u2030 in the SOC, \u221226.1\u202f\u00b1\u202f1.2\u202f\u2030 in the DOC and \u221227.1\u202f\u00b1\u202f1.9\u202f\u2030 in the POC. The \u039414C values ranged between \u2212395\u202f\u00b1\u202f83 (SOC), \u2212226\u202f\u00b1\u202f92 (DOC) and \u2212113\u202f\u00b1\u202f122\u202f\u2030 (POC). These stable and radiocarbon isotopes were also different between the Laptev Sea and the East Siberian Sea. Both DOC and POC showed a depleted and younger trend off the Lena River plume. Further, the Pacific inflow and the sea-ice coverage, which works as a barrier preventing the input of \u201cyoung\u201d DOC and POC, seem to have a strong influence in these carbon pools, presenting older and more enriched \u03b413C signatures under the sea-ice extent. Lignin phenols exhibited higher OC-normalized concentrations in the SOC (0.10\u20132.34\u202fmg\u202fg\u22121\u202fOC) and DOC (0.08\u20132.40\u202fmg\u202fg\u22121\u202fOC) than in the POC (0.03\u20131.14\u202fmg\u202fg\u22121\u202fOC). The good relationship between lignin and \u039414C signatures in the DOC suggests that a significant fraction of the outer-shelf DOC comes from \u201cyoung\u201d Terr-OC. By contrast, the slightly negative correlation between lignin phenols and \u039414C signatures in POC, with higher lignin concentrations in older POC from near-bottom waters, may reflect the off-shelf transport of OC from remobilized permafrost in the nepheloid layer. Syringyl\u202f\u2215\u202fvanillyl and cinnamyl\u202f\u2215\u202fvannillyl phenol ratios presented distinct clustering between DOC, POC and SOC, implying that those pools may be carrying different Terr-OC of partially different origin. Moreover, 3,5-dihydroxybenzoic acid to vanillyl phenol ratios and p-coumaric acid to ferulic acid ratios, used as a diagenetic indicators, enhanced in POC and SOC, suggesting more degradation within these pools. Overall, the key contrast between enhanced lignin yields both in the youngest DOC and the oldest POC samples reflects a significant decoupling of terrestrial OC sources and pathways.

", "keywords": ["QE1-996.5", "ALKALINE CUO OXIDATION; SE LAPTEV SEA; LENA RIVER; TERRESTRIAL CARBON; MARINE-SEDIMENTS; EARLY DIAGENESIS; COASTAL EROSION; NEUTRAL SUGARS; CLIMATE-CHANGE; AMAZON RIVER", "Ecology", "Life", "13. Climate action", "QH501-531", "Geology", "14. Life underwater", "01 natural sciences", "QH540-549.5", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://bg.copernicus.org/articles/13/6121/2016/bg-13-6121-2016.pdf"}, {"href": "https://doi.org/20.500.14243/325138"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.14243/325138", "name": "item", "description": "20.500.14243/325138", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.14243/325138"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-06-28T00:00:00Z"}}, {"id": "20.500.14243/348975", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-27T16:26:49Z", "type": "Journal Article", "created": "2018-02-19", "title": "Bounding cross-shelf transport time and degradation in Siberian-Arctic land-ocean carbon transfer", "description": "Abstract

The burial of terrestrial organic carbon (terrOC) in marine sediments contributes to the regulation of atmospheric CO2 on geological timescales and may mitigate positive feedback to present-day climate warming. However, the fate of terrOC in marine settings is debated, with uncertainties regarding its degradation during transport. Here, we employ compound-specific radiocarbon analyses of terrestrial biomarkers to determine cross-shelf transport times. For the World\uffe2\uff80\uff99s largest marginal sea, the East Siberian Arctic shelf, transport requires 3600\uffe2\uff80\uff89\uffc2\uffb1\uffe2\uff80\uff89300 years for the 600\uffe2\uff80\uff89km from the Lena River to the Laptev Sea shelf edge. TerrOC was reduced by ~85% during transit resulting in a degradation rate constant of 2.4\uffe2\uff80\uff89\uffc2\uffb1\uffe2\uff80\uff890.6\uffe2\uff80\uff89kyr\uffe2\uff88\uff921. Hence, terrOC degradation during cross-shelf transport constitutes a carbon source to the atmosphere over millennial time. For the contemporary carbon cycle on the other hand, slow terrOC degradation brings considerable attenuation of the decadal-centennial permafrost carbon-climate feedback caused by global warming.