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  • 2015-2019  (186)
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  • 1
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    (Table S1) Global dataset of buried peat locations, ages, and descriptions (2019)
    PANGAEA
    Details
    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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  • 2
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    Greenland basal water distribution from airborne radar sounding (2003-2014) (2018)
    PANGAEA
    In:  Supplement to: Jordan, Thomas M; Williams, Christopher N; Schroeder, Dustin M; Martos, Yasmina M; Cooper, Michael A; Siegert, Martin J; Paden, John D; Huybrechts, Philippe; Bamber, Jonathan L (2018): A constraint upon the basal water distribution and thermal state of the Greenland Ice Sheet from radar bed echoes. The Cryosphere, 12(9), 2831-2854, https://doi.org/10.5194/tc-12-2831-2018
    Details
    Publication Date: 2023-01-13
    Description: There is widespread, but often indirect, evidence that a significant fraction of the bed beneath the Greenland Ice Sheet is thawed (at or above the pressure melting point for ice). This includes the beds of major outlet glaciers and their tributaries and a large area around the NorthGRIP borehole in the ice-sheet interior. The ice-sheet scale distribution of basal water is, however, poorly constrained by existing observations. In principle, airborne radio-echo sounding (RES) enables the detection of basal water from bed-echo reflectivity, but unambiguous mapping is limited by uncertainty in signal attenuation within the ice. Here we introduce a new, RES diagnostic for basal water that is associated with wet-dry transitions in bed material: bed-echo reflectivity variability. This technique acts as a form of edge detector and is a sufficient, but not necessary, criteria for basal water. However, the technique has the advantage of being attenuation-insensitive and suited to data combination enabling combined analysis of over a decade of Operation IceBridge survey data. The basal water predictions are compared with existing analyses of the basal thermal state (frozen and thawed beds) and geothermal heat flux. In addition to the outlet glaciers, we demonstrate widespread water storage in the northern and eastern interior. Notably, we observe a quasi-linear 'corridor' of basal water extending from NorthGRIP to Petermann glacier that spatially correlates with elevated heat flux predicted by a recent magnetic model. Finally, with a general aim to stimulate regional- and process-specific investigations, the basal water predictions are compared with bed topography, subglacial flow paths, and ice-sheet motion. The basal water distribution, and its relationship with the thermal state, provides a new constraint for numerical models.
    Keywords: DATE/TIME; File content; File format; File name; File size; Greenland; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 70 data points
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  • 3
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    Widespread global peatland establishment and persistence for the last 130,99 years (2019)
    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
    Details
    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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  • 4
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    (Table S2) Global dataset of peatland basal ages (2017)
    PANGAEA
    Details
    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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  • 5
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    Widespread global peatland establishment and persistence over the last 130,000 years (2019)
    NATL ACAD SCIENCES
    In:  EPIC3Proceedings of the National Academy of Sciences of the United States of America (PNAS), NATL ACAD SCIENCES, ISSN: 1091-6490
    Details
    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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  • 6
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    Natural climate solutions for the United States (2018)
    American Association for the Advancement of Science
    Details
    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 Science Advances 4 (2018): eaat1869, doi:10.1126/sciadv.aat1869.
    Description: Limiting climate warming to 〈2°C requires increased mitigation efforts, including land stewardship, whose potential in the United States is poorly understood. We quantified the potential of natural climate solutions (NCS)—21 conservation, restoration, and improved land management interventions on natural and agricultural lands—to increase carbon storage and avoid greenhouse gas emissions in the United States. We found a maximum potential of 1.2 (0.9 to 1.6) Pg CO2e year−1, the equivalent of 21% of current net annual emissions of the United States. At current carbon market prices (USD 10 per Mg CO2e), 299 Tg CO2e year−1 could be achieved. NCS would also provide air and water filtration, flood control, soil health, wildlife habitat, and climate resilience benefits.
    Description: This study was made possible by funding from the Doris Duke Charitable Foundation. C.A.W. and H.G. acknowledge financial support from NASA’s Carbon Monitoring System program (NNH14ZDA001N-CMS) under award NNX14AR39G. S.D.B. acknowledges support from the DOE’s Office of Biological and Environmental Research Program under the award DE-SC0014416. J.W.F. acknowledges financial support from the Florida Coastal Everglades Long-Term Ecological Research program under National Science Foundation grant no. DEB-1237517.
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 7
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    A Lagrangian convective transport scheme including a simulation of the time air parcels spend in updrafts (LaConTra v1.0) (2019)
    Copernicus
    In:  EPIC3Geoscientific Model Development, Copernicus, 12, pp. 4387-4407
    Details
    Publication Date: 2019-10-24
    Description: We present a Lagrangian convective transport scheme developed for global chemistry and transport models, which considers the variable residence time that an air parcel spends in convection. This is particularly important for accurately simulating the tropospheric chemistry of short-lived species, e.g., for determining the time available for heterogeneous chemical processes on the surface of cloud droplets. In current Lagrangian convective transport schemes air parcels are stochastically redistributed within a fixed time step according to estimated probabilities for convective entrainment as well as the altitude of detrainment. We introduce a new scheme that extends this approach by modeling the variable time that an air parcel spends in convection by estimating vertical updraft velocities. Vertical updraft velocities are obtained by combining convective mass fluxes from meteorological analysis data with a parameterization of convective area fraction profiles. We implement two different parameterizations: a parameterization using an observed constant convective area fraction profile and a parameterization that uses randomly drawn profiles to allow for variability. Our scheme is driven by convective mass fluxes and detrainment rates that originate from an external convective parameterization, which can be obtained from meteorological analysis data or from general circulation models. We study the effect of allowing for a variable time that an air parcel spends in convection by performing simulations in which our scheme is implemented into the trajectory module of the ATLAS chemistry and transport model and is driven by the ECMWF ERA-Interim reanalysis data. In particular, we show that the redistribution of air parcels in our scheme conserves the vertical mass distribution and that the scheme is able to reproduce the convective mass fluxes and detrainment rates of ERA-Interim. We further show that the estimated vertical updraft velocities of our scheme are able to reproduce wind profiler measurements performed in Darwin, Australia, for velocities larger than 0.6 m s−1. SO2 is used as an example to show that there is a significant effect on species mixing ratios when modeling the time spent in convective updrafts compared to a redistribution of air parcels in a fixed time step. Furthermore, we perform long-time global trajectory simulations of radon-222 and compare with aircraft measurements of radon activity.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev , info:eu-repo/semantics/article
    Format: application/pdf
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  • 8
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    Functional evolution of IGF2:IGF2R domain 11 binding generates novel structural interactions and a specific IGF2 antagonist (2016)
    National Academy of Sciences
    Details
    Publication Date: 2016-05-02
    Description: Among the 15 extracellular domains of the mannose 6-phosphate/insulin-like growth factor-2 receptor (M6P/IGF2R), domain 11 has evolved a binding site for IGF2 to negatively regulate ligand bioavailability and mammalian growth. Despite the highly evolved structural loops of the IGF2:domain 11 binding site, affinity-enhancing AB loop mutations suggest that binding is modifiable. Here we examine the extent to which IGF2:domain 11 affinity, and its specificity over IGF1, can be enhanced, and we examine the structural basis of the mechanistic and functional consequences. Domain 11 binding loop mutants were selected by yeast surface display combined with high-resolution structure-based predictions, and validated by surface plasmon resonance. We discovered previously unidentified mutations in the ligand-interacting surface binding loops (AB, CD, FG, and HI). Five combined mutations increased rigidity of the AB loop, as confirmed by NMR. When added to three independently identified CD and FG loop mutations that reduced the koff value by twofold, these mutations resulted in an overall selective 100-fold improvement in affinity. The structural basis of the evolved affinity was improved shape complementarity established by interloop (AB-CD) and intraloop (FG-FG) side chain interactions. The high affinity of the combinatorial domain 11 Fc fusion proteins functioned as ligand-soluble antagonists or traps that depleted pathological IGF2 isoforms from serum and abrogated IGF2-dependent signaling in vivo. An evolved and reengineered high-specificity M6P/IGF2R domain 11 binding site for IGF2 may improve therapeutic targeting of the frequent IGF2 gain of function observed in human cancer.
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
    Published by National Academy of Sciences
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  • 9
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    Widespread global peatland establishment and persistence over the last 130,000 y (2019)
    National Academy of Sciences
    Details
    Publication Date: 2019-02-25
    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.
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
    Published by National Academy of Sciences
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  • 10
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    Opinion: To advance sustainable stewardship, we must document not only biodiversity but geodiversity (2019)
    National Academy of Sciences
    Details
    Publication Date: 2019-08-13
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
    Published by National Academy of Sciences
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