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Articles 1 - 4 of 4
Full-Text Articles in Physical Sciences and Mathematics
Global Patterns And Predictions Of Seafloor Biomass Using Random Forests, Chih-Lin Wei, Gilbert T. Rowe, Elva Escobar-Briones, Antje Boetius, Thomas Soltwedel, M. Julian Caley, Yousria Soliman, Falk Huettmann, Fangyuan Qu, Zishan Yu, C. Roland Pitcher, Richard L. Haedrich, Mary K. Wicksten, Michael A. Rex, Jeffrey G. Baguley, Jyotsna Sharma, Roberto Danovaro, Ian R. Macdonald, Clifton C. Nunnally, Jody W. Deming, Paul Montagna, Mélanie Lévesque, Jan Marcin Weslawski, Maria Wlodarska-Kowalczuk, Baban S. Ingole, Brian J. Bett, David S. M. Billett, Andrew Yool, Bodil A. Bluhm, Katrin Iken, Bhavani E. Narayanaswamy
Global Patterns And Predictions Of Seafloor Biomass Using Random Forests, Chih-Lin Wei, Gilbert T. Rowe, Elva Escobar-Briones, Antje Boetius, Thomas Soltwedel, M. Julian Caley, Yousria Soliman, Falk Huettmann, Fangyuan Qu, Zishan Yu, C. Roland Pitcher, Richard L. Haedrich, Mary K. Wicksten, Michael A. Rex, Jeffrey G. Baguley, Jyotsna Sharma, Roberto Danovaro, Ian R. Macdonald, Clifton C. Nunnally, Jody W. Deming, Paul Montagna, Mélanie Lévesque, Jan Marcin Weslawski, Maria Wlodarska-Kowalczuk, Baban S. Ingole, Brian J. Bett, David S. M. Billett, Andrew Yool, Bodil A. Bluhm, Katrin Iken, Bhavani E. Narayanaswamy
Biology Faculty Publication Series
A comprehensive seafloor biomass and abundance database has been constructed from 24 oceanographic institutions worldwide within the Census of Marine Life (CoML) field projects. The machine-learning algorithm, Random Forests, was employed to model and predict seafloor standing stocks from surface primary production, water-column integrated and export particulate organic matter (POM), seafloor relief, and bottom water properties. The predictive models explain 63% to 88% of stock variance among the major size groups. Individual and composite maps of predicted global seafloor biomass and abundance are generated for bacteria, meiofauna, macrofauna, and megafauna (invertebrates and fishes). Patterns of benthic standing stocks were positive …
New Bedford/Fairhaven Municipal Harbor Plan, Fort Point Associates, Inc., Apex Companies, Llc, Urban Harbors Institute, University Of Massachusetts Boston, Fxm Associates
New Bedford/Fairhaven Municipal Harbor Plan, Fort Point Associates, Inc., Apex Companies, Llc, Urban Harbors Institute, University Of Massachusetts Boston, Fxm Associates
Urban Harbors Institute Publications
The historic harbor lying between the City of New Bedford and Town of Fairhaven has shaped the identities and economies of these two municipalities for centuries. Today, the Harbor is one of nation’s preeminent fishing ports, ranked #1 nationally in 2007 in dollar value ($268 million) of fish landings with an estimated total economic regional impact of nearly $1 billion. The New Bedford’s seafood processing industry has grown in size and sophistication in recent years and is an internationally established center for this industry. Marine service and vessel repair industries, centered in Fairhaven, have an excellent reputation with commercial fleets …
Barcoding Of Arrow Worms (Phylum Chaetognatha) From Three Oceans: Genetic Diversity And Evolution Within An Enigmatic Phylum, Robert M. Jennings, Ann Bucklin, Annelies Pierrot-Bults
Barcoding Of Arrow Worms (Phylum Chaetognatha) From Three Oceans: Genetic Diversity And Evolution Within An Enigmatic Phylum, Robert M. Jennings, Ann Bucklin, Annelies Pierrot-Bults
Biology Faculty Publication Series
Arrow worms (Phylum Chaetognatha) are abundant planktonic organisms and important predators in many food webs; yet, the classification and evolutionary relationships among chaetognath species remain poorly understood. A seemingly simple body plan is underlain by subtle variation in morphological details, obscuring the affinities of species within the phylum. Many species achieve near global distributions, spanning the same latitudinal bands in all ocean basins, while others present disjunct ranges, in some cases with the same species apparently found at both poles. To better understand how these complex evolutionary and geographic variables are reflected in the species makeup of chaetognaths, we analyze …
Developing Performance Indicators To Evaluate The Management Effectiveness Of The Massachusetts Ocean Management Plan, Jack Wiggin, Dan Hellin, Kristin Uiterwyk, Robert E. Bowen, Prassede Vella, John Weber, Stephanie Moura, Nicholas Napoli, Kim Starbuck, Howard Krum
Developing Performance Indicators To Evaluate The Management Effectiveness Of The Massachusetts Ocean Management Plan, Jack Wiggin, Dan Hellin, Kristin Uiterwyk, Robert E. Bowen, Prassede Vella, John Weber, Stephanie Moura, Nicholas Napoli, Kim Starbuck, Howard Krum
Urban Harbors Institute Publications
In June 2009, the Massachusetts Executive Office of Energy and Environmental Affairs (EEA) released its draft Massachusetts Ocean Management Plan (draft plan) for public comment. The plan is required by the Oceans Act of 2008 to, among other things, be adaptive to evolving knowledge and understanding of the ocean environment. The plan’s Science Framework establishes a blueprint for future research and data acquisition and ensuring that the plan evolves and its management measures adapt to this new and enhanced information. As stated in Chapter 5 of the draft plan, an important part of the science framework is the development and …