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  • 1
    Online Resource
    Online Resource
    Integrative Analyse und Decision Support System : Deutsches Klimaforschungsprogramm DEKLIM, Schwerpunkt C: Klimawirkungsforschung, Projekt: Klimawandel und präventives Risiko- und Küstenschutzmanagement an der deutschen Nordseeküste (KRIM) ; Teilprojekt VII ; Endbericht (2005)
    Bremen : Univ., Fachbereich 2, Inst. f. Ökologie u. Evolutionsbiologie, Abt. Aquatische Ökologie
    Details Availability
    Keywords: Forschungsbericht
    Type of Medium: Online Resource
    Pages: Online-Ressource (181 S., 3,04 MB) , Ill., graph. Darst., Kt.
    URL: https://edocs.tib.eu/files/e01fb06/509279309.pdf
    URL: https://doi.org/10.2314/GBV:509279309
    URL: https://edocs.tib.eu/files/e01fb06/509279309l.pdf
    DOI: 10.2314/GBV:509279309
    Language: German
    Note: Förderkennzeichen BMBF 01 LD 0010. - Literaturverz , Unterschiede zwischen dem gedruckten Dokument und der elektronischen Ressource können nicht ausgeschlossen werden , Auch als gedr. Ausg. vorh , Systemvoraussetzungen: Acrobat reader.
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  • 2
    Online Resource
    Online Resource
    Klimawandel und Küste : Die Zukunft der Unterweserregion. (2004)
    Berlin, Heidelberg :Springer Berlin / Heidelberg,
    Details
    Keywords: Climatic changes -- Germany -- Weser River Region. ; Coasts -- Germany -- Weser River Region. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (344 pages)
    Edition: 1st ed.
    ISBN: 9783540265405
    Series Statement: Umweltnatur- and Umweltsozialwissenschaften Series
    URL: https://ebookcentral.proquest.com/lib/geomar/detail.action?docID=323892
    DDC: 333.7
    Language: German
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  • 3
    Online Resource
    Online Resource
    Retrospektive Analyse größerer Planverfahren in der Küstenzone unter der Perspektive "IKZM-Tauglichkeit" : = Retrospective analysis of large scale planning procedures under the perspective of their ICZM-compatibility (2004)
    Warnemünde : EUCC, The Coastal Union, Die Küsten Union Deutschland
    Details Availability
    Keywords: Forschungsbericht ; Deutschland ; Küstengebiet ; Großprojekt ; Integriertes Management
    Type of Medium: Online Resource
    Pages: Online-Ressource (121 S., 845 KB)
    Series Statement: Coastline reports 3
    URL: https://edocs.tib.eu/files/e01fb06/507352920.pdf
    URL: http://www.eucc-d.de/plugins/coastline_reports/coastline_reports3.php
    URL: https://doi.org/10.2314/GBV:507352920
    URL: https://edocs.tib.eu/files/e01fb06/507352920l.pdf
    DOI: 10.2314/GBV:507352920
    DDC: 550
    Language: German
    Note: Förderkennzeichen BMBF 03F0395A. - Literaturverz , Unterschiede zwischen dem gedruckten Dokument und der elektronischen Ressource können nicht ausgeschlossen werden , Auch als gedr. Ausg. vorhanden , Systemvoraussetzungen: Acrobat reader.
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  • 4
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    Monitoring data (hard substrate, soft bottom) of the offshore wind farm alpha ventus (German Bight, North Sea) (2022)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: Alpha ventus was the first German offshore wind farm build in the German exclusive economic zone in 2008/2009. The data are part of the mandatory monitoring programme of the German Standard Investigation of the Impacts of Offshore Wind Turbines on the Marine Environment (latest version: StUK 4, published by BSH 2014). Makrozoobenthos was collected in the offshore wind farm alpha ventus at four wind turbines at different depth (epifouling communities), distance-dependent to the turbines in the soft bottom, as well as randomly within the soft bottom of the offshore wind farm area and in a comparable reference area nearby. Samples were taken by scrape samples with scuba divers to analyse the epifaunal communities and with van-Veen grabs to analyse the infauna. Soft-bottom samples in the wind farm and reference area were collected in spring and autumn from 2008-2012 before, during and after construction (until three years) of the wind farm. After construction of the turbines, epifaunal community was evaluated for recording successional stages of growth on the wind turbines in different depth to cover the vertical zonation along the turbines (at 1, 5 and 10 m depth). Further, soft-bottom samples were collected distance dependent to the turbines 100, 200 and 400 m apart from the turbines. Biodiversity data of species include abundance (count data) and biomass (wet mass, g) per sample. Data were sampled on behalf of the DOTI GmbH & Co. KG in the framework of the mandatory monitoring and collected and quality controlled by the Federal Martime and Hydrographic Agency (BSH) in cooperation with AWI. Thus, we would like to thank the DOTI GmbH, particularly Magdalena Buchholz on behalf of the DOTI GmbH, as well as the BSH, in particular Dr. Maria Boethling, who kindly provided the data for scientific independent research analysis and publication.
    Keywords: 1-B1; 1-B1/AV_M12_N100-1; 1-B1/AV_M12_N100-1_1_1; 1-B1/AV_M12_N100-2; 1-B1/AV_M12_N100-2_1_1; 1-B1/AV_M12_N100-3; 1-B1/AV_M12_N100-3_1_1; 1-B1/AV_M12_N200-1; 1-B1/AV_M12_N200-1_1_1; 1-B1/AV_M12_N200-2; 1-B1/AV_M12_N200-2_1_1; 1-B1/AV_M12_N200-3; 1-B1/AV_M12_N200-3_1_1; 1-B1/AV_M12_N400-1; 1-B1/AV_M12_N400-1_1_1; 1-B1/AV_M12_N400-2; 1-B1/AV_M12_N400-2_1_1; 1-B1/AV_M12_N400-3; 1-B1/AV_M12_N400-3_1_1; 1-B1/AV_M12_W100-1; 1-B1/AV_M12_W100-1_1_1; 1-B1/AV_M12_W100-2; 1-B1/AV_M12_W100-2_1_1; 1-B1/AV_M12_W100-3; 1-B1/AV_M12_W100-3_1_1; 1-B1/AV_M12_W200-1; 1-B1/AV_M12_W200-1_1_1; 1-B1/AV_M12_W200-2; 1-B1/AV_M12_W200-2_1_1; 1-B1/AV_M12_W200-3; 1-B1/AV_M12_W200-3_1_1; 1-B1/AV_M12_W400-1; 1-B1/AV_M12_W400-1_1_1; 1-B1/AV_M12_W400-2; 1-B1/AV_M12_W400-2_1_1; 1-B1/AV_M12_W400-3; 1-B1/AV_M12_W400-3_1_1; 1-B1/AV_M7_E100-1; 1-B1/AV_M7_E100-1_1_1; 1-B1/AV_M7_E100-2; 1-B1/AV_M7_E100-2_1_1; 1-B1/AV_M7_E100-3; 1-B1/AV_M7_E100-3_1_1; 1-B1/AV_M7_E200-1; 1-B1/AV_M7_E200-1_1_1; 1-B1/AV_M7_E200-2; 1-B1/AV_M7_E200-2_1_1; 1-B1/AV_M7_E200-3; 1-B1/AV_M7_E200-3_1_1; 1-B1/AV_M7_E400-1; 1-B1/AV_M7_E400-1_1_1; 1-B1/AV_M7_E400-2; 1-B1/AV_M7_E400-2_1_1; 1-B1/AV_M7_E400-3; 1-B1/AV_M7_E400-3_1_1; 1-B1/AV_M7_S100-1; 1-B1/AV_M7_S100-1_1_1; 1-B1/AV_M7_S100-2; 1-B1/AV_M7_S100-2_1_1; 1-B1/AV_M7_S100-3; 1-B1/AV_M7_S100-3_1_1; 1-B1/AV_M7_S200-1; 1-B1/AV_M7_S200-1_1_1; 1-B1/AV_M7_S200-2; 1-B1/AV_M7_S200-2_1_1; 1-B1/AV_M7_S200-3; 1-B1/AV_M7_S200-3_1_1; 1-B1/AV_M7_S400-1; 1-B1/AV_M7_S400-1_1_1; 1-B1/AV_M7_S400-2; 1-B1/AV_M7_S400-2_1_1; 1-B1/AV_M7_S400-3; 1-B1/AV_M7_S400-3_1_1; 1-B1/AV_P01-1; 1-B1/AV_P01-1_1_1; 1-B1/AV_P01-2; 1-B1/AV_P01-2_1_1; 1-B1/AV_P02-1; 1-B1/AV_P02-1_1_1; 1-B1/AV_P02-2; 1-B1/AV_P02-2_1_1; 1-B1/AV_P03-1; 1-B1/AV_P03-1_1_1; 1-B1/AV_P03-2; 1-B1/AV_P03-2_1_1; 1-B1/AV_P04-1; 1-B1/AV_P04-1_1_1; 1-B1/AV_P04-2; 1-B1/AV_P04-2_1_1; 1-B1/AV_P07-1; 1-B1/AV_P07-1_1_1; 1-B1/AV_P07-2; 1-B1/AV_P07-2_1_1; 1-B1/AV_P08-1; 1-B1/AV_P08-1_1_1; 1-B1/AV_P08-2; 1-B1/AV_P08-2_1_1; 1-B1/AV_P09-1; 1-B1/AV_P09-1_1_1; 1-B1/AV_P09-2; 1-B1/AV_P09-2_1_1; 1-B1/AV_P10-1; 1-B1/AV_P10-1_1_1; 1-B1/AV_P10-2; 1-B1/AV_P10-2_1_1; 1-B1/AV_P11-1; 1-B1/AV_P11-1_1_1; 1-B1/AV_P11-2; 1-B1/AV_P11-2_1_1; 1-B1/AV_P12-1; 1-B1/AV_P12-1_1_1; 1-B1/AV_P12-2; 1-B1/AV_P12-2_1_1; 1-B1/AV_P13-1; 1-B1/AV_P13-1_1_1; 1-B1/AV_P13-2; 1-B1/AV_P13-2_1_1; 1-B1/AV_P16-1; 1-B1/AV_P16-1_1_1; 1-B1/AV_P16-2; 1-B1/AV_P16-2_1_1; 1-B1/AV_P17-1; 1-B1/AV_P17-1_1_1; 1-B1/AV_P17-2; 1-B1/AV_P17-2_1_1; 1-B1/AV_P18-1; 1-B1/AV_P18-1_1_1; 1-B1/AV_P18-2; 1-B1/AV_P18-2_1_1; 1-B1/AV_P19-1; 1-B1/AV_P19-1_1_1; 1-B1/AV_P19-2; 1-B1/AV_P19-2_1_1; 1-B1/AV_P20-1; 1-B1/AV_P20-1_1_1; 1-B1/AV_P20-2; 1-B1/AV_P20-2_1_1; 1-B1/AV_R6_N100-1; 1-B1/AV_R6_N100-1_1_1; 1-B1/AV_R6_N100-2; 1-B1/AV_R6_N100-2_1_1; 1-B1/AV_R6_N100-3; 1-B1/AV_R6_N100-3_1_1; 1-B1/AV_R6_N200-1; 1-B1/AV_R6_N200-1_1_1; 1-B1/AV_R6_N200-2; 1-B1/AV_R6_N200-2_1_1; 1-B1/AV_R6_N200-3; 1-B1/AV_R6_N200-3_1_1; 1-B1/AV_R6_N400-1; 1-B1/AV_R6_N400-1_1_1; 1-B1/AV_R6_N400-2; 1-B1/AV_R6_N400-2_1_1; 1-B1/AV_R6_N400-3; 1-B1/AV_R6_N400-3_1_1; 1-B1/AV_R6_W100-1; 1-B1/AV_R6_W100-1_1_1; 1-B1/AV_R6_W100-2; 1-B1/AV_R6_W100-2_1_1; 1-B1/AV_R6_W100-3; 1-B1/AV_R6_W100-3_1_1; 1-B1/AV_R6_W200-1; 1-B1/AV_R6_W200-1_1_1; 1-B1/AV_R6_W200-2; 1-B1/AV_R6_W200-2_1_1; 1-B1/AV_R6_W200-3; 1-B1/AV_R6_W200-3_1_1; 1-B1/AV_R6_W400-1; 1-B1/AV_R6_W400-1_1_1; 1-B1/AV_R6_W400-2; 1-B1/AV_R6_W400-2_1_1; 1-B1/AV_R6_W400-3; 1-B1/AV_R6_W400-3_1_1; 1-M1; 1-M1/AV_M12_N100-1; 1-M1/AV_M12_N100-1_1_1; 1-M1/AV_M12_N100-2; 1-M1/AV_M12_N100-2_1_1; 1-M1/AV_M12_N100-3; 1-M1/AV_M12_N100-3_1_1; 1-M1/AV_M12_N200-1; 1-M1/AV_M12_N200-1_1_1; 1-M1/AV_M12_N200-2; 1-M1/AV_M12_N200-2_1_1; 1-M1/AV_M12_N200-3; 1-M1/AV_M12_N200-3_1_1; 1-M1/AV_M12_N400-1; 1-M1/AV_M12_N400-1_1_1; 1-M1/AV_M12_N400-2; 1-M1/AV_M12_N400-2_1_1; 1-M1/AV_M12_N400-3; 1-M1/AV_M12_N400-3_1_1; 1-M1/AV_M12_W100-1; 1-M1/AV_M12_W100-1_1_1; 1-M1/AV_M12_W100-2; 1-M1/AV_M12_W100-2_1_1; 1-M1/AV_M12_W100-3; 1-M1/AV_M12_W100-3_1_1; 1-M1/AV_M12_W200-1; 1-M1/AV_M12_W200-1_1_1; 1-M1/AV_M12_W200-2; 1-M1/AV_M12_W200-2_1_1; 1-M1/AV_M12_W200-3; 1-M1/AV_M12_W200-3_1_1; 1-M1/AV_M12_W400-1; 1-M1/AV_M12_W400-1_1_1; 1-M1/AV_M12_W400-2; 1-M1/AV_M12_W400-2_1_1; 1-M1/AV_M12_W400-3; 1-M1/AV_M12_W400-3_1_1; 1-M1/AV_M7_E100-1; 1-M1/AV_M7_E100-1_1_1; 1-M1/AV_M7_E100-2; 1-M1/AV_M7_E100-2_1_1; 1-M1/AV_M7_E100-3; 1-M1/AV_M7_E100-3_1_1; 1-M1/AV_M7_E200-1; 1-M1/AV_M7_E200-1_1_1; 1-M1/AV_M7_E200-2; 1-M1/AV_M7_E200-2_1_1; 1-M1/AV_M7_E200-3; 1-M1/AV_M7_E200-3_1_1; 1-M1/AV_M7_E400-1; 1-M1/AV_M7_E400-1_1_1; 1-M1/AV_M7_E400-2; 1-M1/AV_M7_E400-2_1_1; 1-M1/AV_M7_E400-3; 1-M1/AV_M7_E400-3_1_1; 1-M1/AV_M7_S100-1; 1-M1/AV_M7_S100-1_1_1; 1-M1/AV_M7_S100-2; 1-M1/AV_M7_S100-2_1_1; 1-M1/AV_M7_S100-3; 1-M1/AV_M7_S100-3_1_1; 1-M1/AV_M7_S200-1; 1-M1/AV_M7_S200-1_1_1; 1-M1/AV_M7_S200-2; 1-M1/AV_M7_S200-2_1_1; 1-M1/AV_M7_S200-3; 1-M1/AV_M7_S200-3_1_1; 1-M1/AV_M7_S400-1; 1-M1/AV_M7_S400-1_1_1; 1-M1/AV_M7_S400-2; 1-M1/AV_M7_S400-2_1_1; 1-M1/AV_M7_S400-3; 1-M1/AV_M7_S400-3_1_1; 1-M1/AV_P01-1; 1-M1/AV_P01-1_1_1; 1-M1/AV_P01-2; 1-M1/AV_P01-2_1_1; 1-M1/AV_P02-1; 1-M1/AV_P02-1_1_1; 1-M1/AV_P02-2; 1-M1/AV_P02-2_1_1; 1-M1/AV_P03-1; 1-M1/AV_P03-1_1_1; 1-M1/AV_P03-2; 1-M1/AV_P03-2_1_1; 1-M1/AV_P04-1; 1-M1/AV_P04-1_1_1; 1-M1/AV_P04-2; 1-M1/AV_P04-2_1_1; 1-M1/AV_P05-1; 1-M1/AV_P05-1_1_1; 1-M1/AV_P05-2; 1-M1/AV_P05-2_1_1; 1-M1/AV_P06-1; 1-M1/AV_P06-1_1_1; 1-M1/AV_P06-2; 1-M1/AV_P06-2_1_1; 1-M1/AV_P07-1; 1-M1/AV_P07-1_1_1; 1-M1/AV_P07-2; 1-M1/AV_P07-2_1_1; 1-M1/AV_P08-1; 1-M1/AV_P08-1_1_1; 1-M1/AV_P08-2; 1-M1/AV_P08-2_1_1; 1-M1/AV_P09-1; 1-M1/AV_P09-1_1_1; 1-M1/AV_P09-2; 1-M1/AV_P09-2_1_1; 1-M1/AV_P10-1; 1-M1/AV_P10-1_1_1; 1-M1/AV_P10-2; 1-M1/AV_P10-2_1_1; 1-M1/AV_P11-1; 1-M1/AV_P11-1_1_1; 1-M1/AV_P11-2; 1-M1/AV_P11-2_1_1; 1-M1/AV_P12-1; 1-M1/AV_P12-1_1_1; 1-M1/AV_P12-2; 1-M1/AV_P12-2_1_1; 1-M1/AV_P13-1; 1-M1/AV_P13-1_1_1; 1-M1/AV_P13-2; 1-M1/AV_P13-2_1_1; 1-M1/AV_P14-1; 1-M1/AV_P14-1_1_1; 1-M1/AV_P14-2; 1-M1/AV_P14-2_1_1; 1-M1/AV_P15-1; 1-M1/AV_P15-1_1_1; 1-M1/AV_P15-2; 1-M1/AV_P15-2_1_1; 1-M1/AV_P16-1; 1-M1/AV_P16-1_1_1; 1-M1/AV_P16-2; 1-M1/AV_P16-2_1_1; 1-M1/AV_P17-1; 1-M1/AV_P17-1_1_1; 1-M1/AV_P17-2; 1-M1/AV_P17-2_1_1; 1-M1/AV_P18-1; 1-M1/AV_P18-1_1_1; 1-M1/AV_P18-2; 1-M1/AV_P18-2_1_1; 1-M1/AV_P19-1; 1-M1/AV_P19-1_1_1; 1-M1/AV_P19-2; 1-M1/AV_P19-2_1_1; 1-M1/AV_P20-1; 1-M1/AV_P20-1_1_1; 1-M1/AV_P20-2; 1-M1/AV_P20-2_1_1; 1-M1/AV_R01-1; 1-M1/AV_R01-1_1_1; 1-M1/AV_R01-2; 1-M1/AV_R01-2_1_1; 1-M1/AV_R02-1; 1-M1/AV_R02-1_1_1; 1-M1/AV_R02-2; 1-M1/AV_R02-2_1_1; 1-M1/AV_R03-1; 1-M1/AV_R03-1_1_1; 1-M1/AV_R03-2; 1-M1/AV_R03-2_1_1; 1-M1/AV_R04-1; 1-M1/AV_R04-1_1_1; 1-M1/AV_R04-2; 1-M1/AV_R04-2_1_1; 1-M1/AV_R05-1; 1-M1/AV_R05-1_1_1; 1-M1/AV_R05-2; 1-M1/AV_R05-2_1_1; 1-M1/AV_R06-1; 1-M1/AV_R06-1_1_1; 1-M1/AV_R06-2; 1-M1/AV_R06-2_1_1; 1-M1/AV_R07-1; 1-M1/AV_R07-1_1_1; 1-M1/AV_R07-2; 1-M1/AV_R07-2_1_1; 1-M1/AV_R08-1; 1-M1/AV_R08-1_1_1; 1-M1/AV_R08-2; 1-M1/AV_R08-2_1_1; 1-M1/AV_R09-1; 1-M1/AV_R09-1_1_1; 1-M1/AV_R09-2; 1-M1/AV_R09-2_1_1; 1-M1/AV_R1_E100-1; 1-M1/AV_R1_E100-1_1_1; 1-M1/AV_R1_E100-2; 1-M1/AV_R1_E100-2_1_1; 1-M1/AV_R1_E100-3; 1-M1/AV_R1_E100-3_1_1; 1-M1/AV_R1_E200-1; 1-M1/AV_R1_E200-1_1_1; 1-M1/AV_R1_E200-2; 1-M1/AV_R1_E200-2_1_1; 1-M1/AV_R1_E200-3; 1-M1/AV_R1_E200-3_1_1; 1-M1/AV_R1_E400-1; 1-M1/AV_R1_E400-1_1_1; 1-M1/AV_R1_E400-2; 1-M1/AV_R1_E400-2_1_1; 1-M1/AV_R1_E400-3; 1-M1/AV_R1_E400-3_1_1; 1-M1/AV_R1_S100-1; 1-M1/AV_R1_S100-1_1_1; 1-M1/AV_R1_S100-2; 1-M1/AV_R1_S100-2_1_1; 1-M1/AV_R1_S100-3; 1-M1/AV_R1_S100-3_1_1; 1-M1/AV_R1_S200-1; 1-M1/AV_R1_S200-1_1_1; 1-M1/AV_R1_S200-2; 1-M1/AV_R1_S200-2_1_1; 1-M1/AV_R1_S200-3; 1-M1/AV_R1_S200-3_1_1; 1-M1/AV_R1_S400-1; 1-M1/AV_R1_S400-1_1_1; 1-M1/AV_R1_S400-2; 1-M1/AV_R1_S400-2_1_1; 1-M1/AV_R1_S400-3; 1-M1/AV_R1_S400-3_1_1; 1-M1/AV_R10-1; 1-M1/AV_R10-1_1_1; 1-M1/AV_R10-2; 1-M1/AV_R10-2_1_1; 1-M1/AV_R11-1; 1-M1/AV_R11-1_1_1; 1-M1/AV_R11-2; 1-M1/AV_R11-2_1_1; 1-M1/AV_R12-1; 1-M1/AV_R12-1_1_1; 1-M1/AV_R12-2; 1-M1/AV_R12-2_1_1; 1-M1/AV_R13-1; 1-M1/AV_R13-1_1_1; 1-M1/AV_R13-2; 1-M1/AV_R13-2_1_1; 1-M1/AV_R14-1; 1-M1/AV_R14-1_1_1; 1-M1/AV_R14-
    Type: Dataset
    Format: text/tab-separated-values, 824638 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 5
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    Unknown
    Structure and distribution of a threatened muddy biotope in the south-eastern North Sea (2020)
    Elsevier
    Details
    Publication Date: 2023-02-08
    Description: Understanding the distribution and structure of biotopes is essential for marine conservation according to international legislation, such as the European Marine Strategy Framework Directive (MSFD). The biotope 'Sea Pen and Burrowing Megafuna Communities' is included in the OSPAR list of threatened and/or declining habitats. Accordingly, the MSFD prescribes a monitoring of this biotope by the member states of the EU. In the German North Sea, however, the distribution and spatial extent of this biotope as well as the structuring of its benthic species inventory is unknown. We used an extensive geo-referenced dataset on occurrence, abundance and biomass of the benthic infauna of the south-eastern North Sea to estimate the distribution of the biotope and to characterize the associated infauna assemblages. Sediment preferences of the burrowing megafauna, comprising decapod crustaceans and echiurids, were identified and the core distribution areas of the burrowing megafauna were modelled using Random Forests. Clusters of benthic infauna inside the core distribution areas were identified by fuzzy clustering. The burrowing megafauna occurred on a wide range of sediments with varying mud contents. The core distribution area of the burrowing megafauna was characterized by elevated mud content and a water depth of 25-55 m. The analysis of the benthic communities and their relation to sedimentological conditions identified four infauna clusters of slightly varying species composition. The biotope type 'Sea Pen and Burrowing Megafuna Communities' is primarily located inside the paleo valley of the river Elbe and covers an area of 4980 km2. Dedicated monitoring will have to take into account the spatial extent and the structural variability of the biotope. Our results can provide a baseline for the evaluation of the future development of the environmental status of the biotope. The maps generated herein will facilitate the communication of information relevant for environmental management to authorities and policy makers.
    Type: Article , PeerReviewed
    Format: text
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    OceanRep: Article in a Scientific Journal - peer-reviewed
  • 6
    facet.materialart.
    Unknown
    A ‘fuzzy clustering’ approach to conceptual confusion: how to classify natural ecological associations (2017)
    In:  EPIC3Marine Ecology Progress Series, 584, pp. 17-30
    Details
    Publication Date: 2017-12-11
    Description: The concept of the marine ecological community has recently experienced renewed attention, mainly owing to a shift in conservation policies from targeting single and specific objec- tives (e.g. species) towards more integrated approaches. Despite the value of communities as dis- tinct entities, e.g. for conservation purposes, there is still an ongoing debate on the nature of spe- cies associations. They are seen either as communities, cohesive units of non-randomly associated and interacting members, or as assemblages, groups of species that are randomly associated. We investigated such dualism using fuzzy logic applied to a large dataset in the German Bight (south- eastern North Sea). Fuzzy logic provides the flexibility needed to describe complex patterns of natural systems. Assigning objects to more than one class, it enables the depiction of transitions, avoiding the rigid division into communities or assemblages. Therefore we identified areas with either structured or random species associations and mapped boundaries between communities or assemblages in this more natural way. We then described the impact of the chosen sampling design on the community identification. Four communities, their core areas and probability of occurrence were identified in the German Bight: AMPHIURA-FILIFORMIS, BATHYPOREIA-TELLINA, GONIADELLA-SPISULA, and PHORONIS. They were assessed by estimating overlap and compactness and supported by analysis of beta-diversity. Overall, 62% of the study area was characterized by high species turnover and instability. These areas are very relevant for conservation issues, but become undetectable when studies choose sampling designs with little information or at small spatial scales.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 7
    facet.materialart.
    Unknown
    Structure and distribution of a threatened muddy biotope in the south-eastern North Sea (2020)
    ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
    In:  EPIC3Journal of Environmental Management, ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD, 255, pp. 109876, ISSN: 0301-4797
    Details
    Publication Date: 2019-11-28
    Description: Understanding the distribution and structure of biotopes is essential for marine conservation according to international legislation, such as the European Marine Strategy Framework Directive (MSFD). The biotope ‘Sea Pen and Burrowing Megafuna Communities’ is included in the OSPAR list of threatened and/or declining habitats. Accordingly, the MSFD prescribes a monitoring of this biotope by the member states of the EU. In the German North Sea, however, the distribution and spatial extent of this biotope as well as the structuring of its benthic species inventory is unknown. We used an extensive geo-referenced dataset on occurrence, abundance and biomass of the benthic infauna of the south-eastern North Sea to estimate the distribution of the biotope and to characterize the associated infauna assemblages. Sediment preferences of the burrowing megafauna, comprising decapod crustaceans and echiurids, were identified and the core distribution areas of the burrowing megafauna were modelled using Random Forests. Clusters of benthic infauna inside the core distribution areas were identified by fuzzy clustering. The burrowing megafauna occurred on a wide range of sediments with varying mud contents. The core distribution area of the burrowing megafauna was characterized by elevated mud content and a water depth of 25–55 m. The analysis of the benthic communities and their relation to sedimentological conditions identified four infauna clusters of slightly varying species composition. The biotope type ‘Sea Pen and Burrowing Megafuna Communities’ is primarily located inside the paleo valley of the river Elbe and covers an area of 4980 km2. Dedicated monitoring will have to take into account the spatial extent and the structural variability of the biotope. Our results can provide a baseline for the evaluation of the future development of the environmental status of the biotope. The maps generated herein will facilitate the communication of information relevant for environmental management to authorities and policy makers.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
    Location Call Number Limitation Availability
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    PAPER (OA)
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