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  • 2020-2024  (6)
  • 2024  (6)
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Keywords
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  • 2020-2024  (6)
Year
  • 1
    facet.materialart.
    Unknown
    Manual detection of glacier extents on Kilimanjaro, Mount Kenya, and in the Rwenzori Range in 2021/2022 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Tropical glaciers are helpful indicators of climatic changes in high-altitude environments. In East Africa, the glaciers in the three high-mountain regions Kilimanjaro, Mount Kenya and the Rwenzori Range have retreated substantially since the late 19th century. However, as there are no recent estimates for all regions, our study updates the time series of tropical glacier extent in East Africa. The methodological approach of the investigation is manual detection of ice body margins based on high-resolution satellite images of the PlanetScope program from 2021/2022. We performed three types of detection that included a minimum, a primary and a maximum extent, to indicate the range of the probable glacier area and account for individual allocation of pixels and influences of shaded or snow-covered areas.
    Keywords: Binary Object; Binary Object (Character Set); Binary Object (File Size); Binary Object (MD5 Hash); Binary Object (Media Type); East Africa; Kilimanjaro; Mount Kenya; Rwenzori; Satellite imagery; SATI; Tropical Climate; tropical glacier
    Type: Dataset
    Format: text/tab-separated-values, 54 data points
    Location Call Number Expected Availability
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  • 2
    facet.materialart.
    Unknown
    Paleo±Dust: Quantifying uncertainty in paleo-dust deposition across archive types (2024)
    PANGAEA
    Details
    Publication Date: 2024-05-21
    Description: Paleo±Dust is an updated compilation of bulk and 〈10-µm paleo-dust deposition rate with quantitative 1-σ uncertainties that are inter-comparable among archive types (lake sediment cores, marine sediment cores, polar ice cores, peat bog cores, loess samples). Paleo±Dust incorporates a total of 285 pre-industrial Holocene (pi-HOL) and 209 Last Glacial Maximum (LGM) dust flux constraints from studies published until December 2022. We also recalculate previously published dust fluxes to exclude data from the last deglaciation and thus obtain more representative constraints for the last pre-industrial interglacial and glacial end-member climate states. Metadata include all components necessary to derive dust deposition rate, including: age range, thickness, density, eolian content. We also include 1-sigma uncertainties on each of these components, and on the final bulk and 〈10-µm dust deposition rates. Specific notes for each site and a list of references are also included.
    Keywords: Dust flux; Holocene; Ice core; Lake sediment core; Last Glacial Maximum; Loess; Marine Sediment Core; Peat bog; Uncertainty
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Expected Availability
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  • 3
    facet.materialart.
    Unknown
    Pre-industrial Holocene (pi-HOL) paleo-dust record (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Keywords: 0038PG; 0055PG; 0058PG; 0082PG; 11071651 Pistoncore2; 11191756 Piston core 8, TT013-PC72; 12JPC; 138-848B; 138-849A; 138-850A; 138-851E; 138-852A; 138-853B; 145-887; 14MC_13BB; 16MC_sed; 177-1088; 1MC_sed; 21MC_20BB; 26MC-25BB; 29MC-28BB; 33MC_32BB; 342; 39MC-36BB; 74KL_sed; 7MC_sed; 90-593; 9MC_sed; Accumulation rate, dust, per year; Accumulation rate, dust, per year, size fraction 〈 10 µm; Accumulation rate, dust, per year, size fraction 〈 10 µm, standard deviation; Accumulation rate, dust, per year, standard deviation; Accumulation rate, sediment, mean per year; Accumulation rate, sediment, standard deviation; Aeolian components, fractional; Aeolian components, standard deviation; Age, maximum/old; Age, maximum/old, standard deviation; Age, minimum/young; Age, minimum/young, standard deviation; Ahklun-Mountains; Alaska, USA; Amazon Fan; Amsterdam-Island; Antarctica; ANT-XI/2; ANT-XXVI/2; APSARA4; Area/locality; Argentina; Atlantic Ocean; Australia; Baicaoyuan; Baie_Canada; Baimapo; Banshan; Baoji-Lingyuan; Barrhill; Barton-County; Baxie-Dongxiang; BC; Beglitsa; Beiguoyuan; Beiguoyuan-II; Beisel-Steinle; Beiyuan; Beiyuantou; Belgium; Bering Sea; Bignell-Hill-1; Blue-Lake; Borehole-OT-1; Box corer; calculated, 1 sigma; CALYPSO; CALYPSO2; Calypso Corer; Calypso Corer II; Canada; Canterbury-Plains-II; Caocun; CD129; Chagelebulu-1-Cagelebulu; Changwu; Charles Darwin; Chatanika-River; Chena; Chenjiawo-Lantian-1; Chile; China; Chitina; Chumbur-Kosa; Chunhua; Clear; Columbine; COMPCORE; Composite Core; Copper, Alaska, U.S.A., North America; Core; CORE; CRATER; Crater lake, USA; Crvenka; Dadiwan; Davidsmosse; Debrecen-Alfoldi-brickyard; Delta-Junction; Density, dry bulk; Density, dry bulk, standard deviation; Depth, sediment/rock, standard deviation; Dome C; Dome C, Antarctica; Draftinge-Mosse; DRILL; Drilling/drill rig; Duanjiapo-Lantian-2; Duowa; Dust flux; Dust mass fraction 〈 10 µm, fractional; Dust mass fraction 〈 10 µm, standard deviation; E26-1; EDC; Emperor Seamount; EN06601; EN066-21GGC; EN066-29GGC; EN066-38PG; Endeavor; ENV; Environmental investigation; EPICA Dome C; Equatorial East Pacific; Equatorial Pacific; Event label; Finnhojden; Flag; Focun; Fox/Goldstream; Ganzi; Gaobai; Gaolanshan; GC; GeoB1515-1; GeoB1523-1; GGC37-VG19; GISP; GISP2; Global River Discharge; Glomar Challenger; Gorina; Grashojden; Gravity corer; Gravity corer (Kiel type); Greenland; Gulf of Aden; Halfway-House; Hani; Harberton; Hoalin; Hokberg; Holocene; Hongtushan; Hookers-Point_Malvinas-Islands; Huanglong; Huangshan; Huangyanghe; Huanxian; Hungary; Hura-Village; Ice_core_diverse; Ice core; ICEDRILL; Ice drill; Ile-du-Havre; IMAGES III - IPHIS; India; Indian Ocean; INDIEN SUD 2; Indonesia; Iran; Irig; Israel; Jiezicun-Jiezhichun; Jikariya-Lake; Jingbian-I; Jingbian-II; Jingchuan; Jingyuan; Jiuzhoutai-Lanzhou; Joides Resolution; JPC; Jumbo Piston Core; Kajemarum-Oasis; KAL; Kalat-e-Naderi-a; Karukinka; Kasten corer; Kazakhstan; Kenai-1; Kenai-2; Kirpichny; KL; KL11_sed; KL15_sed; KL23_sed; KN11002; Knorr; KNR110-55; KNR110-58; KNR110-82; KNR73-4PC; KS15-5; Kuma; Kurortne; Kyrgyz; La_Grande_coreLG2; Lake sediment core; Landa; Laoguantai; Last Glacial Maximum; LATITUDE; Leg138; Leg145; Leg177; Leg90; Leninsk-I; Le Suroît; LG2; LGG_loess; Lijiayuan; Likhvin; Lingtai; LJW10; Loess; LOESS; Loess profile; LONGITUDE; Lozada; Lozhok; LRC_loess; Lujiaowan; Lynch-Crater; M16/2; Majiayuan; Malvinas-Islands; Marine Sediment Core; Marion Dufresne (1972); Marion Dufresne (1995); Matanuska-Valley; MC1208-17PC; MC1208-31BB; MD03-2705; MD106; MD11-3357; MD134; MD185; MD88-769; MD88-770; MD94-102; MD94-104; MD972138; MD97-2138; ME0005-24JC; Melville; Mengdashan; Meteor (1986); Mfabeni-MF4-12; Misten; ML1208-37BB; MOHOS; Mohos, Romania; Mt-Harif; MUC; Mujiayuan-Wupu; MultiCorer; MV1014-02-17JC; MW91-9-GGC48; Namibia; Naponee; Native-Companion-Lagoon; Neor-Lake; New Zealand; NGRIP2; Nigeria; Nilka; Ningxian; NLT17; Nome; North Atlantic; NorthGRIP; North Pacific Ocean; OC437-07; OC437-07_GC27; OC437-07_GC37; OC437-07_GC49; OC437-07_GC66; OC437-07_GC68; Oceanus; Opuwo_Namibia; OWR; P7; Pacific Ocean; PALEOCINAT; Palouse; Panama Basin; PC; Peat bog; PEATC; Peat corer; Pegwell-Bay; Peters; Phorphyry; PICABIA; Piston corer; Piston corer (BGR type); PLDS-007G; PLDS-1; Pleiades; Polarstern; Primorskoje; PS2498-1; PS28; PS28/304; PS75/059-2; PS75/100-4; PS75 BIPOMAC; Qilian-Shan; Qilian-Shan-section; Qumalai-2; Qumalai-5; Ramat-Beka; Ramnicu-Sarat; RC08; RC08-102; RC13; RC13-140; RC13-189; RC14; RC14-105; RC14-121; RC17; RC17-177; RC24; RC24-1; RC24-12; RC24-7; RC27; RC27-42; Red Sea; Reference/source; Renjiahutong; RGS; Rio-Rubens; River gauging station; RNDB-74P; Robat-e-Khakestari; Robert Conrad; Romania; Romantic; Roxolany; RPC; Rudak; Russia; Russian peat corer; SA6_5; Sagwon; Sampling/drilling ice; Santa-Victoria; SeaLevel; SEDCO; Sediment corer; Semlac; Serbia; Shankerpora; Shaozhuang; Shaw-Creek-Flats; Shiguanzhi; Sihailongwan; SL; Slope-Mt-Brooks-Range; SO136; SO136_038GC-6; SO14-08-05; Sonne; South-Africa; South Atlantic; South Atlantic Ocean; Southern Ocean; South Pacific; South Pacific/Tasman Sea/PLATEAU; South Pacific Ocean; Southwest Pacific Ocean; Spain; Stari-Slankamen; St-Michael-Island-Puyuk-Lake; St-Michael-Island-Zagoskin-Lake; Store_Mosse; SU90-03; Sweden; SW Indian Ocean; Tajik-Basin; Tajikistan; TASQWA; Taul-Muced; TGS; Thickness; Thomas G. Thompson; Tide gauge station; TLD_loess; TLD16; TN057-21; TN057-6-PC4; Tongde; Tortugas-I; TR163-19; TR163-22; TREE; Tree ring sampling; TT013; TT013_18; TT013_72; TT013-MC19; TT013-MC27; Tuxiangdao; Type; Ukraine; Uncertainty; United Kingdom; Upper-Snowy-Core; USA; Uzbekistan; V19; V19-29; V20; V20-122; V20-234; V21; V21-146; V21-29; V22; V22-182; V28; V28-203; V30; V30-40; V32; V32-126; Valikhanov; Veliki-Surduk; Vema; Vostok; WDD; Weinan; Weinan-2; Weinan-Yangguo; WIND; WIND-28K; Wulipu; XEB_loess; Xiadongcun-Jixian; Xiala; Xiangpishan; Xiaoerbulake; Xifeng; Xifeng-II; Xinghai; Xining-Dadunling; Xistral-Mountains; Xueyuan; Xunyi; XY17_loess; XZP; Y69-106P; Y69-71P; Y9; Y9_core; YALOC69; Yanchang; Yaoxian-I; Yaoxian-II-YX; Yaquina; Yellibadragh; Yichuan; Yinwan; Yuanbao; Yuanpu-Yuanbo-Xinzhuangyuan; Yuexi; Zeketai; Zhaitang; Zhangjiayuan; Zhaojiachuan; Zhenbeitai; Zhouqu; ZS_loess
    Type: Dataset
    Format: text/tab-separated-values, 4965 data points
    Location Call Number Expected Availability
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  • 4
    facet.materialart.
    Unknown
    Last Glacial Maximum (LGM) paleo-dust record (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-26
    Keywords: 0038PG; 11071651 Pistoncore2; 11191756 Piston core 8, TT013-PC72; 12JPC; 130-806; 138-848B; 138-849A; 138-850A; 138-851E; 138-852A; 138-853B; 14MC-13BB; 21MC_20BB; 26MC-25BB; 29MC-28BB; 33MC_32BB; 39MC-36BB; 74KL_sed; 90-593; Accumulation rate, dust, per year; Accumulation rate, dust, per year, size fraction 〈 10 µm; Accumulation rate, dust, per year, size fraction 〈 10 µm, standard deviation; Accumulation rate, dust, per year, standard deviation; Accumulation rate, sediment, mean per year; Accumulation rate, sediment, standard deviation; Achenheim; Aeolian components, fractional; Aeolian components, standard deviation; Age, maximum/old; Age, maximum/old, standard deviation; Age, minimum/young; Age, minimum/young, standard deviation; Albertirsa; Angola Basin; Antarctica; ANT-XI/2; ANT-XXVI/2; APSARA4; Area/locality; Argentina; Atlantic Ocean; Australia; Austria; BC; BCCPT; Beiguoyuan; Beiyuantou; Belgium; Bellevue; Bignell-Hill; Boeckingen; Boenningheim; Borehole-OT-1; Box corer; Caijiagou; calculated, 1 sigma; CALYPSO; CALYPSO2; Calypso Corer; Calypso Corer II; Calypso Square Core System; Canteen-Creek; Canterbury-Plains; CASQS; CD129; Charles Darwin; China; Chumbur-Kosa; COMPCORE; Composite Core; Core; CORE; Core-G39; Crawford; Crvenka; Czech Republic; Darai-Kalon; Debrecen-Alfoldi-brickyard; Density, dry bulk; Density, dry bulk, standard deviation; Depth, sediment/rock, standard deviation; Dolni-Vestonice; Dome C; Dome C, Antarctica; DRILL; Drilling/drill rig; Dunaszekcso; Dunlap; Dust flux; Dust mass fraction 〈 10 µm, fractional; Dust mass fraction 〈 10 µm, standard deviation; E26-1; EDC; Egg-Lake; EN06601; EN066-21GGC; EN066-29GGC; EN066-38PG; Endeavor; EPICA Dome C; Equatorial East Pacific; Equatorial Pacific; Eustis; Event label; Flag; France; Gaolanshan; GC; GeoB1035-1; GeoB3808-6; Germany; GISP; GISP2; Glomar Challenger; Gorina; Gravity corer; Gravity corer (Kiel type); Greenland; Gulang; Gulf of Aden; Halfway-House; Halyc; Heimugou-1; Hoalin; Holocene; Huangshan; Hummeston; Hungary; Ice_core_diverse; Ice core; ICEDRILL; Ice drill; IMAGES III - IPHIS; IMAGES XV - Pachiderme; India; Indian Ocean; INDIEN SUD 2; Iran; Irig; Iskitim; Israel; Jingyuan; Jingyuan-II; Joides Resolution; JPC; Jumbo Piston Core; KAL; Kalat-e-Naderi-a; Kasten corer; Katymar-brickyard; Kazakhstan; Keller-Farm; Kisiljevo; KL; KL11_sed; KL15_sed; KL23_sed; KNR73-3PC; KNR73-4PC; KS15-5; Lake sediment core; Last Glacial Maximum; LATITUDE; Leg130; Leg138; Leg90; Le Suroît; Lihkvin; Lingezhuang; Liujiapo-1; Loess; LOESS; Loess profile; LONGITUDE; Loveland; Lowland-Point; Lozada; Lozhok; M34/3; M45/5_86; M45/5_90; M45/5a; M6/6; Madaras-brickyard; Majiayuan; Marine Sediment Core; Marion Dufresne (1972); Marion Dufresne (1995); MC1208-17PC; MC1208-31BB; McCook; MD03-2705; MD07-3076; MD07-3076Q; MD106; MD11-3357; MD134; MD159; MD185; MD88-769; MD88-770; MD94-102; MD94-104; MD972138; MD97-2138; ME0005-24JC; Melville; Mende; Meteor (1986); Mid Atlantic Ridge; Mitoc-Malu-Galben; ML1208-37BB; Molodova-V; Morrison; MSN; MtCass-E2a; MUC; MultiCorer; Multiple opening/closing net; MV1014-02-17JC; MW91-9-GGC48; Natchez; Native-Companion-Lagoon; Neka; New Zealand; NGRIP2; Nilka; North Atlantic; NorthGRIP; North Pacific Ocean; Nosak; Now-Deh; Nussloch; OC437-07; OC437-07_GC27; OC437-07_GC49; OCE437-07-GC68; Oceanus; P7; Pacific Ocean; PALEOCINAT; Panama Basin; Panama-Bentley; PC; Peat bog; Pegwell-Bay; PICABIA; Piston corer; Piston corer (BGR type); PLDS-007G; PLDS-1; Pleiades; Polarstern; Primorskoje; PS2498-1; PS28; PS28/304; PS75/059-2; PS75/100-4; PS75 BIPOMAC; Ramat-Beka; Rapids-City; RC08; RC08-102; RC11; RC1112; RC11-210; RC11-238; RC13; RC13-114; RC13-140; RC13-189; RC14; RC14-105; RC17; RC17-177; RC24; RC24-1; RC24-12; RC24-7; RC27; RC27-42; Red Sea; Reference/source; Remicourt; Remizovka; RNDB-PC13; Robert Conrad; Rocourt; Romania; Romont-East; Russia; Salt-Creek; Sampling/drilling ice; SEDCO; Sediment corer; Semlac; Serbia; Shankerpora; Shaozhuang; Sihailongwan; SL; SO136; SO136_038GC-6; SO14-08-05; Sonne; South Atlantic; South Atlantic Ocean; Southern Ocean; South Pacific; South Pacific/Tasman Sea/PLATEAU; South Pacific Ocean; Southwest Pacific Ocean; Stari-Slankamen; St-Michael-Island-Zagoskin-Lake; SU90-03; SU90-08; SU90-09; SU90-11; Surduk-2; SW Indian Ocean; Szeged-Othalom-I; Tajikistan; TASQWA; Thickness; Thomas G. Thompson; Thomas G. Thompson (1964); TLD_loess; TN057-21; TN057-6-PC4; Tortugas-II; Toshan; TR163-19; TR163-22; TR163-31; TT013; TT013_18; TT013_72; TT013-MC112; TT013-MC34; TT013-MC97; TT154-10; TTXXX; Type; Ukraine; Uncertainty; United Kingdom; USA; V19; V19-28; V20; V20-122; V20-234; V21; V21-146; V21-40; V22; V22-182; V28; V28-203; V28-238; V30; V30-40; V32; V32-126; V32-128; Valikhanov; Veliki-Surduk; Vema; Vicksburg_loess; Vostok; VTR01-10GGC; W8709A; W8709A-1; Wecoma; Weinan; West-Helena; Willendorf-Il; WIND; WIND-28K; XEB_loess; Xiaoerbulake; Xifeng; Xifeng-II; Xueyuan; Xunyi; XY17_loess; XZP; Y69-106P; Y69-71P; Y9; Y9_core; YALOC69; Yaoxian-I; Yaquina; Yuanbao; Yuanpu-Yuanbo; Zeketai; Zhaosu-Boma; Zhongjiacai; Zhouqu; ZS_loess
    Type: Dataset
    Format: text/tab-separated-values, 3347 data points
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  • 5
    facet.materialart.
    Unknown
    Destructive fishing: An expert‐driven definition and exploration of this quasi‐concept (2024)
    Wiley
    In:  EPIC3Conservation Letters, Wiley, ISSN: 1755-263X
    Details
    Publication Date: 2024-04-17
    Description: 〈jats:title〉Abstract〈/jats:title〉〈jats:p〉Numerous policy and international frameworks consider that “destructive fishing” hampers efforts to reach sustainability goals. Though ubiquitous, “destructive fishing” is undefined and therefore currently immeasurable. Here we propose a definition developed through expert consultation: “Destructive fishing is any fishing practice that causes irrecoverable habitat degradation, or which causes significant adverse environmental impacts, results in long‐term declines in target or nontarget species beyond biologically safe limits and has negative livelihood impacts.” We show strong stakeholder support for a definition, consensus on many biological and ecological dimensions, and no clustering of respondents from different sectors. Our consensus definition is a significant step toward defining sustainable fisheries goals and will help interpret and implement global political commitments which utilize the term “destructive fishing.” Our definition and results will help reinforce the Food and Agricultural Organization's Code of Conduct and meaningfully support member countries to prohibit destructive fishing practices.〈/jats:p〉
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 6
    facet.materialart.
    Unknown
    Understanding and addressing shortfalls in European wild bee data (2024)
    In:  Biological Conservation vol. 290 no. 110455
    Details
    Publication Date: 2024-04-18
    Description: Understanding and reversing biodiversity decline in the Anthropocene requires robust data on species taxonomic identity, distribution, ecology, and population trends. Data deficits hinder biodiversity assessments and conservation, and despite major advances over the past few decades, our understanding of bee diversity, decline and distribution in Europe is still hampered by such data shortfalls. Using a unique digital dataset of wild bee occurrence and ecology, we identify seven critical shortfalls which are an absence of knowledge on geographic distributions, (functional) trait variation, population dynamics, evolutionary relationships, biotic interactions, species identity, and tolerance to abiotic conditions. We describe “BeeFall,” an interactive online Shiny app tool, which visualizes these shortfalls and highlights missing data. We also define a new impediment, the Keartonian Impediment, which addresses an absence of high-quality in situ photos and illustrations with diagnostic characteristics and directly affects the outlined shortfalls. Shortfalls are highly correlated at both the provincial and national scales, identifying key areas in Europe where knowledge gaps can be filled. This work provides an important first step towards the long-term goal to mobilize and aggregate European wild bee data into a multiscale, easy access, shareable, and updatable database which can inform research, practice, and policy actions for the conservation of wild bees.
    Keywords: Knowledge gaps ; Big data ; Online tool ; Biodiversity decline ; Citizen science ; Biodiversity monitoring
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
    Format: application/pdf
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