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  • 1
    Publication Date: 2019-03-03
    Description: Glacial−interglacial variations in CO2 and methane in polar ice cores have been attributed, in part, to changes in global wetland extent, but the wetland distribution before the Last Glacial Maximum (LGM, 21 ka to 18 ka) remains virtually unknown. We present a study of global peatland extent and carbon (C) stocks through the last glacial cycle (130 ka to present) using a newly compiled database of 1,063 detailed stratigraphic records of peat deposits buried by mineral sediments, as well as a global peatland model. Quantitative agreement between modeling and observations shows extensive peat accumulation before the LGM in northern latitudes (〉40°N), particularly during warmer periods including the last interglacial (130 ka to 116 ka, MIS 5e) and the interstadial (57 ka to 29 ka, MIS 3). During cooling periods of glacial advance and permafrost formation, the burial of northern peatlands by glaciers and mineral sediments decreased active peatland extent, thickness, and modeled C stocks by 70 to 90% from warmer times. Tropical peatland extent and C stocks show little temporal variation throughout the study period. While the increased burial of northern peats was correlated with cooling periods, the burial of tropical peat was predominately driven by changes in sea level and regional hydrology. Peat burial by mineral sediments represents a mechanism for long-term terrestrial C storage in the Earth system. These results show that northern peatlands accumulate significant C stocks during warmer times, indicating their potential for C sequestration during the warming Anthropocene.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev , info:eu-repo/semantics/article
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  • 2
    Publication Date: 2022-05-25
    Description: © The Author(s), 2018. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Scientific Reports 8 (2018): 15219, doi:10.1038/s41598-018-33283-4.
    Description: This Article corrects an error in Equation 1
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 3
    Publication Date: 2022-05-25
    Description: © The Author(s), 2018. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Scientific Reports 8 (2018): 9478, doi:10.1038/s41598-018-26948-7.
    Description: Tidal wetlands produce long-term soil organic carbon (C) stocks. Thus for carbon accounting purposes, we need accurate and precise information on the magnitude and spatial distribution of those stocks. We assembled and analyzed an unprecedented soil core dataset, and tested three strategies for mapping carbon stocks: applying the average value from the synthesis to mapped tidal wetlands, applying models fit using empirical data and applied using soil, vegetation and salinity maps, and relying on independently generated soil carbon maps. Soil carbon stocks were far lower on average and varied less spatially and with depth than stocks calculated from available soils maps. Further, variation in carbon density was not well-predicted based on climate, salinity, vegetation, or soil classes. Instead, the assembled dataset showed that carbon density across the conterminous united states (CONUS) was normally distributed, with a predictable range of observations. We identified the simplest strategy, applying mean carbon density (27.0 kg C m−3), as the best performing strategy, and conservatively estimated that the top meter of CONUS tidal wetland soil contains 0.72 petagrams C. This strategy could provide standardization in CONUS tidal carbon accounting until such a time as modeling and mapping advancements can quantitatively improve accuracy and precision.
    Description: Synthesis efforts were funded by NASA Carbon Monitoring System (CMS; NNH14AY67I), USGS LandCarbon and the Smithsonian Institution. J.R.H. was additionally supported by the NSF-funded Coastal Carbon Research Coordination Network while completing this manuscript (DEB-1655622). J.M.S. coring efforts were funded by NSF (EAR-1204079). B.P.H. coring efforts were funded by Earth Observatory (Publication Number 197).
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 4
    Publication Date: 2023-03-16
    Keywords: AWI_Paleo; Paleoenvironmental Reconstructions from Marine Sediments @ AWI
    Type: Dataset
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, 291.3 kBytes
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  • 5
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    PANGAEA
    In:  Supplement to: Treat, Claire C; Kleinen, Thomas; Broothaerts, Nils; Dalton, April S; Dommain, René; Douglas, Thomas A; Drexler, Judith; Finkelstein, Sarah A; Grosse, Guido; Hope, Geoffrey; Hutchings, Jack A; Jones, Miriam C; Kuhry, Peter; Lacourse, Terri; Lähteenoja, Outi; Loisel, Julie; Notebaert, Bastiaan; Payne, Richard J; Peteet, Dorothy M; Sannel, A Britta K; Stelling, Jonathan; Strauss, Jens; Swindles, Graeme T; Talbot, Julie; Tarnocai, Charles; Verstraeten, Gert; Williams, Christopher J; Xia, Zhengyu; Yu, Zicheng; Väliranta, Minna; Hättestrand, Martina; Alexanderson, Helena; Brovkin, Victor (2019): Widespread global peatland establishment and persistence over the last 130,000 y. Proceedings of the National Academy of Sciences, https://doi.org/10.1073/pnas.1813305116
    Publication Date: 2023-01-13
    Description: We present the first synthesis of global peatland extent through the last glacial cycle (130 ka) based on 〉975 detailed stratigraphic descriptions from exposures, soil pits, and sediment cores. Buried peats are defined as organic-rich sediments overlain by mineral sediments. Also included are deposits rich in wetland macrofossils indicated a local peatland environment. The dataset includes location (lat/long), chronologic information (when available), a description of the buried peat sediment, overlying and underlying sediments, whether geochemical information is available, and the original references.
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 6
    Publication Date: 2023-08-16
    Keywords: 11O; 1202; 1453; 15A; 260; 277; 2M; 300; 361; 398; 4_RN; Aakkenustunturi; Aaknes; ABI; Abisko; Abisko, Lappland, northern Sweden; Aflon; Afognak; Africa; Agardalen_Elfenbeibreen_glacier; Age, dated; Age, dated material; Age, dated standard error; Agerod; Agparsuit; Ahakagyezi_Swamp; Ahvenlampi; Aion-4estuary_of_Chaun; Air chemistry observatory; Aishihik_Lake; Aitkin; Akali; Ake_Bat; Alaganik; Alaska, USA; Alaska-Toolik; Albany_Forks; Albany_R; Albany_R-8501; Alberta; Alberta, Canada; Alderdale; Aleksandrovskoe; Aliwal_North; Alsmyren; Altevatn; Altin; Alton_PA-16; AmeryOasis2001/2002; Amot; Anadyr; Anadyrskiy Gulf; Anaktuvik_Pass; Anchor_Point_Trail; Andoya; Anin_Island; Antarctica; Antinlammensuo; Apurinneva; Arangatui; Aravete; Archangelsk_City; Arctic Ocean; Argaunat_Hil_Bog; Argentina; Arosuo; Arrowsmith_River; Arstadmirene; Ashville; Asmyra; Atka_Island; Attawapiskat_River; Aucayacu; Aura; auxiliary station; Avalon; AWI Arctic Land Expedition; Ayat; Ayon; BACHI; Baffin_Island; Baffin Bay; Bagotville_Bog; Baidaratskaya; Baie; Baliem_Valley; Ballast_Brook; Ballycroy_Bog; Baltic Sea; Balyktakh; Banks Island, Canadian Arctic Archipelago; Baram_River; Barambai,; Barents Sea; Bario; Barrow; Bastuberg; Batang_Hari; Batulicin; Bay of Fundy; BB1; BC; Bear_Cove_Bog; Bear_Creek; Bear_Valley; Beaufort Sea; Beauval; Beaver_Lake; Beaver_River; Bederbo-Tarida; Bekkelaegret; Belanske_Luky; Belec_L_Int_8507; Belec_L_Int_9210; Belek_Sesi_Cheepay; Beloye; Benacadie_Point; Benfontein; Bengkalis_Island; Berbak_National_Park; Berendon_Fen; Bering_Lake; Bering Sea; Bezdonnoe; Big_John; Big_Slide_Creek; Big_Swamp; Billings_Cape; Bingha_BG-1; Biological sample; BIOS; Birthday_River; Bismarck Sea; Bitil_Pampa; Bjuralvsmossen; Black_Gum_Swamp; Black_Lake; Black_River; Blackbear-8508A; Blairmore; Blamyrho; Blanc-Sablon; Bleik; Blenkisop_Lake; Blidenes_Kurzeme; Blomidon_Site; Blue_Lake; Blydefontein; Boganida-14; Bois-des-Bel; Bol_Kuropatochiya; Bol_Liakhovskiy_Island; Bol_Routan_Island; Bolshaya_Lagorta; Bolsho_Mokh; Bolvanski_Mys; Bondzale; Bonfield_Gill_Head; Boniface_river; Bonne_Bay; Boothia_Peninsula; BOR; Borer; Bottinintnin_Lake; Box corer; Bradshaw; Brewster_Creek; Bridge_Glacier_Bog; Brondmyra; Brooks_River; Brookside; Buena_Vista; Buevannet; Buffalo_Narrows; BurinPeninsula; Buskerud; Bussehund; Bussesund; Bylot_Island; Cabin_Creek; CA-Land_2013_YukonCoast; Caldwell_Lake; Calendar age; Calendar age, maximum/old; Calendar age, minimum/young; Caleta_Robalo; California_Gulch; Calumet; Campbell; Canada; Canadian Arctic; Cape_Ball; Cape_Hangklip; Cape_Henrietta_Maria; Cape_Kiberia; Cape_Nares; Cape_Shpindler; Caribbean Sea; Caribou_Bog; Caribou_Lake; Caribou_Mts; Caribu_River; Carling_L-site; Carswell_Lake; Cartwright; Cayambre-Coca; CC-14; CC-18; CC-19; CC-2; CC-22; CC-27; CC-36; CC-39; CC-40; CC-41; CC-42; CC-44; CC-49; CC-50; CC-51; CC-54; CC-57; CC-62; CC-7; CC-76; CC-80; CC-82; CC-85; CC-90; CC-P; Cedar_Swano; Central-West-Greenland; Cerna_Hora; Chacaltaya; Chaginskoe_Mire; Chalk_River; Changuinola; Chapman_Lake; Charlevoix; Charo; Chase; Chasebrook; Chatsworth_Bog; Chekurovka; Cheremushka; Chernyii_Yar; Cherryfield; Cherya_Gorka; Chester_LN-1; Chilkoot_Pond; Chin_Lake; CHISTIC; Chistic, Russia; Chivyrkiu; Chudesnoe; Chuk_10; Chuk226; Chukchi Sea; Churchill; Churchill_Falls; Chydesnoe; Ciega; Cioetwon_bog; Clarenville; Clearwater_Bog; Clearwater_Lake; Clover_Pond; Cluff_Lake; Coal_Creek; Coastal_fen_site; Coastal waters of SE Alaska; Cobweb_Swamp; Cochrane; Codeville_WA-6; Collier_Gill; Collins_Pond; Colville_Lake; Comment; Comment 2 (continued); Comment 3 (continued); Compassberg; Coppermine; Coral Sea; Cordillera_Pelada; Core; CORE; Core1; Core2; Corkery_Creek; Cornelia; Corporon; Cotapampa; Coulson_Township; Courtenay; Covey_Hill; Covey_Hill_core1; Cowichan_Lake; Craigrossie; Creek_Cypres_Bog; Cresswell_River; Crimson_lake; Cropley_Lake; Cumbre_Unduavi; Dags_Mosse; Dahadinni_River; Dalnie_Zelentsy; Dalsvatnmyr; Danka_Valley_Bo; Dartmouth_Bight; Davis Strait; De_Borchert; Deelpan; Deggemyra; Dempster_Highway; Denali_Highway; Denslow_Lake_moraine; DEPTH, sediment/rock; DERPUT; Derput, Russia; Deschambault_Lake; Diamond_Creek_Trail; Diana_Lake_Bog; Dionisiya; Djupvika; Docksmyren; Dome_Creek_Meadow; Doting_Gove; Douglas_Island; Drainage_Lake; Dredge; Dresvianka-Pechiora_inlet; DRG; Driehoek; DRILL; Drilling/drill rig; Drizzle_Pit_Bog; Dry_Lamba_Kivach; Duguldzera; Dulikha; Dunedin; DUVAN; Duvanny_Yar_2009; Duvanny Yar Alas; Dyanushka K7P2; Dzelves; Dzhangskyol_Fen; E101; E102; E103; E104; E105; E106; E107; E108; E109; E110; E111; E112; E113; E114; E115; E116; E117; E118; E119; E120; E121; Eagle_Creek; Eagle_River; Eaglecrest_Bog; East_Baltic; East_Biddeford; Eastern_Graham; East Siberian Sea; Eipurs; Ekolongouma; Eleutak; Ellerslie; EllisBog; Emo; Engbertsdijksven; Engerdal; Enggelam; Ennadai_Lake; Escape_River; Eskimo_Lakes; Esmeralda; Espanola_West_Bog; Event label; Exmouth_Lake; Falkefjeldet; Fallison; Farnham_Bog; Farrent_Island; Fildes Peninsula, King George Island; Finger_Glacier; Finland; Fire_Island; Fish_Lake_2; Flatrumyren; Fletcher_Lake; Fokstumyrin; Folley_Lake; Fongen; Footprint_Lake; Fort_Chimo; Fort_Good_Hope; Fosheim; Fourth-of-July_Creek; Fox_Lake_2; FRON; Fuglefjellet; Funasmyren; Funny_River_Rd; FW; g0181; g0221; Gakona_River; Galt; Gardsendi; Garry_Island; Gates_Bog; Gatun_Lake_Area; Gauya_River; Geike_Bog; Generc_River; Georgian_Bay; Germansen; GGU215942; Gill_Lake; Gipka; Gitanga; Glacier_Bay; Glacier_Creek; Glacier_Highway; Gleason_Bog; Glenancross; Glenholme; Global_change_camp; Global River Discharge; GLUKHOYE; Glukhoye Lake; GN11-C4; Goldeye_core1; Goldeye_Fen; Goodsir_Inlet; Goose_Creek; Goose_River; Gorelovo; Gornostalya; Gotlandsfloen; Grand_Beach; Grand_Plateau; Grand_Rapids; Grande_Cache; Grand River, Michigan, U.S.A., North America; Grant_Lake; Granunes; Grays_Lake; Great_Bear; Green_River; Green, Utah, U.S.A., North America; Grindstone_Island; Guldtvedt; Gulf of Alaska; Gulf of Bothnia; Gulf of Finland; Gulf of Mexico; Gulf of Riga; Gulf of St. Lawrence; Gulf of Tartary; GUR; Gurgaon; Guyer_Lake; Gypsumville; Haapalahti; Haapasuo; Haberton; Hadseloya; Haikassuo; Halnelaegeret; Halvykenmyren; Hammarmossen; HAND; Hand (plastic-shovel); Hangassuo; Hara; Harmanger; Harp_Mountain; Harricana_moraine; Harricana_River; Harris_Creek; Hattuvaara; Hawaii; Hawaiian Islands, North Central Pacific; Hawley_Lake; Hawly_Lake; HE2013_Polygonfield; Headquarters_Lake; Helmken_Park; Henvalsmyren; HER; Herchmer; Hermon_BA-8; Herschel_Island; Herschel Island, Yukon Territory, Canada; Hershey_SH-2; Hershop_Bog; Hestaa; Hiilisuo_Prionega; Hjortronmossen; HL02; HL02_core1; HL03; HL04; Holmfjeldnet; Holt_Lamplight_Rd; Homer_Spit; Hongyan; Hook_Lake_Bog; Hordaland; Horn_Lake; Horn_Plateau; Hornafjordur; Hornsund; Horton_River; Howardss_Pass; Howland_PA-9; HPS; Hub; Hudson Bay; Hudson Bay Lowlands, Canada; Hudson Strait; Hungry_Creek; Hunker_Creek; Hunter_Creek; Hurricane_Basin; Hurrinsuo; Hverholl; I-96; IB_wetland; Iceland Sea; Idglolorssuit; Igarka_Peat_exposure; Ile_du_Havre_aux_Maisons; Ilmakkiselka; IMATU; Imatu Mire, Estonia; incl. 16 pond locations; India; Indian Ocean; Innoko; In situ sampler; Interior_fen_site; International Polar Year 1881-1884; Inuvik; Inyanga; Iosegun_River; IPY-1; Iringa; Iris_Station; Isfiordflya_S-6a-74; Island_Alexandra; Isokarret; Isosuo; ISS; Ita; Itanga; Ittlemit_Lake; Ivanovsko; Ivirua; Ivitaruk; Ivsugissok; Jaab_L_site; Janakkala; Japan Sea; JBL1; JBL1_core1; JBL2; JBL2_core1; JBL3; JBL3_core1; JBL4; JBL4_core1; JBL5; JBL5_core1; JBL7; JBL7_core1; JBL8; JBL8_core1; Jefferson_County; Jesmond_Bog; Jiji; Joey_Lake; Johnson_Lake; Johnson_River; Johvikasoo; Joint Arctic Weather Stations; Judique; Jukolansuo; Julysuo_Kalevala; Juodonys; Jurmunaapa; Jyvaskyla; K7P2; Kaikkarsuo; Kairanaapa; Kaisungor_Swamp; Kakarinlammensuo; Kakkupalsa; Kalimantan; Kalina; KALSA; Kalsa Mire, Estonia; Kamiranzovu; Kamishak_Bat; Kangerdluarssuk;
    Type: Dataset
    Format: text/tab-separated-values, 59134 data points
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  • 7
    Publication Date: 2023-02-08
    Description: Studies integrating mangrove in-situ observations and remote sensing analysis for specific sites often lack precise estimates of carbon stocks over time frames that include disturbance events. This study quantifies change in mangrove area from 1985 to 2018 with Landsat time series analysis, estimates above and belowground stored carbon using field data, and evaluates aboveground carbon stock changes after the 2004 Category 4, Hurricane Charley, in J.N. “Ding” Darling National Wildlife Refuge. Two allometric equation methods yielding similar results were used to estimate aboveground carbon content in three mangrove species found in the refuge. Aboveground carbon contained 67 (SE = 2) MgC ha−1 with a total refuge estimate of 74,504 MgC in 2018. Sediment contained 259 (SE = 28) MgC ha−1 for a total of 288,008 MgC in the refuge. The initial reduction in mangrove area caused by Hurricane Charley was between 0.6% and 5.3%, equivalent to between 427 MgC and 3,599 MgC under three different scenarios of carbon loss. As a result of the hurricane, approximately 61 ha of mangroves were disturbed, of which 24 ha had recovered by 2018, with 37 ha (~3% of the pre-hurricane mangrove area) still not recovered 14 years after the event. The 37 ha of mangroves that have not recovered are located in a tidally restricted area of the refuge. A longer recovery time in this area will likely result in a greater loss of carbon storage than in the rest of the refuge.
    Type: Article , PeerReviewed
    Format: text
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  • 8
    Publication Date: 2022-01-31
    Description: Significance During the Holocene (11,600 y ago to present), northern peatlands accumulated significant C stocks over millennia. However, virtually nothing is known about peatlands that are no longer in the landscape, including ones formed prior to the Holocene: Where were they, when did they form, and why did they disappear? We used records of peatlands buried by mineral sediments for a reconstruction of peat-forming wetlands for the past 130,000 y. Northern peatlands expanded across high latitudes during warm periods and were buried during periods of glacial advance in northern latitudes. Thus, peat accumulation and burial represent a key long-term C storage mechanism in the Earth system. Abstract Glacial−interglacial variations in CO2 and methane in polar ice cores have been attributed, in part, to changes in global wetland extent, but the wetland distribution before the Last Glacial Maximum (LGM, 21 ka to 18 ka) remains virtually unknown. We present a study of global peatland extent and carbon (C) stocks through the last glacial cycle (130 ka to present) using a newly compiled database of 1,063 detailed stratigraphic records of peat deposits buried by mineral sediments, as well as a global peatland model. Quantitative agreement between modeling and observations shows extensive peat accumulation before the LGM in northern latitudes (〉40°N), particularly during warmer periods including the last interglacial (130 ka to 116 ka, MIS 5e) and the interstadial (57 ka to 29 ka, MIS 3). During cooling periods of glacial advance and permafrost formation, the burial of northern peatlands by glaciers and mineral sediments decreased active peatland extent, thickness, and modeled C stocks by 70 to 90% from warmer times. Tropical peatland extent and C stocks show little temporal variation throughout the study period. While the increased burial of northern peats was correlated with cooling periods, the burial of tropical peat was predominately driven by changes in sea level and regional hydrology. Peat burial by mineral sediments represents a mechanism for long-term terrestrial C storage in the Earth system. These results show that northern peatlands accumulate significant C stocks during warmer times, indicating their potential for C sequestration during the warming Anthropocene.
    Type: Article , PeerReviewed
    Format: text
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