Nonindigenous and Cryptogenic Freshwater Bryozoa and Entoprocta in the St. Lawrence River
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Plant Macrofossil Evidence for an Early Onset of the Holocene Summer Thermal Maximum in Northernmost Europe
ARTICLE Received 19 Aug 2014 | Accepted 27 Feb 2015 | Published 10 Apr 2015 DOI: 10.1038/ncomms7809 OPEN Plant macrofossil evidence for an early onset of the Holocene summer thermal maximum in northernmost Europe M. Va¨liranta1, J.S. Salonen2, M. Heikkila¨1, L. Amon3, K. Helmens4, A. Klimaschewski5, P. Kuhry4, S. Kultti2, A. Poska3,6, S. Shala4, S. Veski3 & H.H. Birks7 Holocene summer temperature reconstructions from northern Europe based on sedimentary pollen records suggest an onset of peak summer warmth around 9,000 years ago. However, pollen-based temperature reconstructions are largely driven by changes in the proportions of tree taxa, and thus the early-Holocene warming signal may be delayed due to the geographical disequilibrium between climate and tree populations. Here we show that quantitative summer-temperature estimates in northern Europe based on macrofossils of aquatic plants are in many cases ca.2°C warmer in the early Holocene (11,700–7,500 years ago) than reconstructions based on pollen data. When the lag in potential tree establishment becomes imperceptible in the mid-Holocene (7,500 years ago), the reconstructed temperatures converge at all study sites. We demonstrate that aquatic plant macrofossil records can provide additional and informative insights into early-Holocene temperature evolution in northernmost Europe and suggest further validation of early post-glacial climate development based on multi-proxy data syntheses. 1 Department of Environmental Sciences, ECRU, University of Helsinki, P.O. Box 65, Helsinki FI-00014, Finland. 2 Department of Geosciences and Geography, University of Helsinki, P.O. Box 65, Helsinki FI-00014, Finland. -
Natural Communities of Michigan: Classification and Description
Natural Communities of Michigan: Classification and Description Prepared by: Michael A. Kost, Dennis A. Albert, Joshua G. Cohen, Bradford S. Slaughter, Rebecca K. Schillo, Christopher R. Weber, and Kim A. Chapman Michigan Natural Features Inventory P.O. Box 13036 Lansing, MI 48901-3036 For: Michigan Department of Natural Resources Wildlife Division and Forest, Mineral and Fire Management Division September 30, 2007 Report Number 2007-21 Version 1.2 Last Updated: July 9, 2010 Suggested Citation: Kost, M.A., D.A. Albert, J.G. Cohen, B.S. Slaughter, R.K. Schillo, C.R. Weber, and K.A. Chapman. 2007. Natural Communities of Michigan: Classification and Description. Michigan Natural Features Inventory, Report Number 2007-21, Lansing, MI. 314 pp. Copyright 2007 Michigan State University Board of Trustees. Michigan State University Extension programs and materials are open to all without regard to race, color, national origin, gender, religion, age, disability, political beliefs, sexual orientation, marital status or family status. Cover photos: Top left, Dry Sand Prairie at Indian Lake, Newaygo County (M. Kost); top right, Limestone Bedrock Lakeshore, Summer Island, Delta County (J. Cohen); lower left, Muskeg, Luce County (J. Cohen); and lower right, Mesic Northern Forest as a matrix natural community, Porcupine Mountains Wilderness State Park, Ontonagon County (M. Kost). Acknowledgements We thank the Michigan Department of Natural Resources Wildlife Division and Forest, Mineral, and Fire Management Division for funding this effort to classify and describe the natural communities of Michigan. This work relied heavily on data collected by many present and former Michigan Natural Features Inventory (MNFI) field scientists and collaborators, including members of the Michigan Natural Areas Council. -
Comparative Genomic Analysis of Cristatella Mucedo Provides Insights Into Bryozoan Evolution and Nervous System Function
bioRxiv preprint doi: https://doi.org/10.1101/869792; this version posted December 14, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-ND 4.0 International license. Comparative genomic analysis of Cristatella mucedo provides insights into Bryozoan evolution and nervous system function Viktor V Starunov1,2†, Alexander V Predeus3†*, Yury A Barbitoff3, Vladimir A Kutiumov1, Arina L Maltseva1, Ekatherina A Vodiasova4, Andrea B Kohn5, Leonid L Moroz5*, Andrew N Ostrovsky1,6* 1 Department of Invertebrate Zoology, Faculty of Biology, Saint Petersburg State University, Universitetskaya nab. 7/9, 199034, St. Petersburg, Russia 2 Zoological Institute, Russian Academy of Sciences, Universitetskaya nab. 1, 199034, St. Petersburg, Russia 3 Bioinformatics Institute, Kantemirovskaya 2A, 197342, St. Petersburg, Russia 4 A.O. Kovalevsky Institute of Biology of the Southern Seas, Russian Academy of Sciences, Leninsky pr. 38/3, 119991, Moscow, Russia 5 The Whitney Laboratory for Marine Bioscience, University of Florida, 9505 Ocean Shore Blvd, St Augustine, FL 32080, USA 6 Department of Paleontology, Faculty of Earth Sciences, Geography and Astronomy, University of Vienna, Althanstrasse 14, 1090, Vienna, Austria † These authors contributed equally to the study. * To whom correspondence should be addressed: [email protected], [email protected], [email protected] bioRxiv preprint doi: https://doi.org/10.1101/869792; this version posted December 14, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. -
Old Woman Creek National Estuarine Research Reserve Management Plan 2011-2016
Old Woman Creek National Estuarine Research Reserve Management Plan 2011-2016 April 1981 Revised, May 1982 2nd revision, April 1983 3rd revision, December 1999 4th revision, May 2011 Prepared for U.S. Department of Commerce Ohio Department of Natural Resources National Oceanic and Atmospheric Administration Division of Wildlife Office of Ocean and Coastal Resource Management 2045 Morse Road, Bldg. G Estuarine Reserves Division Columbus, Ohio 1305 East West Highway 43229-6693 Silver Spring, MD 20910 This management plan has been developed in accordance with NOAA regulations, including all provisions for public involvement. It is consistent with the congressional intent of Section 315 of the Coastal Zone Management Act of 1972, as amended, and the provisions of the Ohio Coastal Management Program. OWC NERR Management Plan, 2011 - 2016 Acknowledgements This management plan was prepared by the staff and Advisory Council of the Old Woman Creek National Estuarine Research Reserve (OWC NERR), in collaboration with the Ohio Department of Natural Resources-Division of Wildlife. Participants in the planning process included: Manager, Frank Lopez; Research Coordinator, Dr. David Klarer; Coastal Training Program Coordinator, Heather Elmer; Education Coordinator, Ann Keefe; Education Specialist Phoebe Van Zoest; and Office Assistant, Gloria Pasterak. Other Reserve staff including Dick Boyer and Marje Bernhardt contributed their expertise to numerous planning meetings. The Reserve is grateful for the input and recommendations provided by members of the Old Woman Creek NERR Advisory Council. The Reserve is appreciative of the review, guidance, and council of Division of Wildlife Executive Administrator Dave Scott and the mapping expertise of Keith Lott and the late Steve Barry. -
Comparative Genomic Analysis of Cristatella Mucedo Provides Insights Into Bryozoan
bioRxiv preprint doi: https://doi.org/10.1101/869792; this version posted December 10, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-ND 4.0 International license. Comparative genomic analysis of Cristatella mucedo provides insights into Bryozoan evolution and nervous system function Viktor V Starunov1,2†, Alexander V Predeus3†*, Yury A Barbitoff3, Vladimir A Kutyumov1, Arina L Maltseva1, Ekatherina A Vodiasova4 Andrea B Kohn5, Leonid L Moroz4,5*, Andrew N Ostrovsky1,6* 1 Department of invertebrate zoology, Saint Petersburg State University, Universitetskaya nab. 7/9, 199034, St. Petersburg, Russia 2 Zoological Institute RAS, Universitetskaya nab. 1, 199034, St. Petersburg, Russia 3 Bioinformatics Institute, Kantemirovskaya 2A, 197342, St. Petersburg, Russia 4 A.O. Kovalevsky Institute of Biology of the Southern Seas RAS, Leninsky pr. 38/3, 119991, Moscow, Russia 5 The Whitney Laboratory for Marine Bioscience, University of Florida 6 University of Vienna † These authors contributed equally to the study. * To whom correspondence should be addressed: [email protected], [email protected], [email protected] bioRxiv preprint doi: https://doi.org/10.1101/869792; this version posted December 10, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-ND 4.0 International license. Abstract The modular body organization is an enigmatic feature of different animal phyla scattered throughout the phylogenetic tree. -