Dr. Paul Snelgrove
"A Scientific Basis for
Conservation of Marine Biodiversity" - NSERC
Discover Grant
2007-2012
In recent years, interest in marine biodiversity has exploded
because of concern over biodiversity loss and deterioration of
ocean function. Nonetheless, there is currently little scientific
basis for marine conservation in cold ocean environments and
decisions regarding prioritization are typically based on static
measures (e.g. stock sizes) rather than on function and
process-based science. I propose to utilize new technologies (e.g.
ocean observatories, ROVs) and laboratory and field experiments to
improve our understanding of source-sink dynamics, critical habitat
and biodiversity, and to establish approaches that will allow a
broader understanding of function and diversity of seafloor
environments.
"Connectivity &
Conservation in Marine Fishes" - NSERC Strategic Project
2006-2008 (with P Bentzen, B
deYoung, C DiBacco, R Gregory, and D Pike)
The NSERC Strategic Project on Connectivity and Conservation of
Marine Fishes is a partnership between 3 Canadian universities,
DFO, Parks Canada, and a local ecotourism company called Coastal
Connections. The project was initiated in January 2006 and has now
reached the midway point. The main goal of this work is to quantify
the connectivity of marine fish species between five Newfoundland
embayments and in doing so bring together the latest expertise and
technology and develop novel synthetic analytical approaches for
the analysis of connectivity data. This work contrasts three
species of marine fish (cod, sculpin, smelt) with differing life
histories and abundance in Newfoundland waters, and will provide
new tools for the management of marine organisms. The various
objectives of the project are described below as well as the state
of completion or expected date of completion.
Understanding Marine Biodiversity (Canada Research Chair in
Boreal and Cold Ocean Systems): P. Snelgrove
As a signatory to the International Convention on Biological
Diversity, Canada is committed to developing an inventory of its
biodiversity resources and to preserving these resources. Within
the marine environment, our understanding of the processes that
regulate and maintain biodiversity is very limited, and even less
is known about cold ocean ecosystems. My research focuses on early
life history stages and the processes that influence success,
failure and the subsequent pattern of biodiversity. This research
is centred primarily in coastal Newfoundland, in a variety of
habitats that include a diverse mix of temperate and arctic
species. There are three research objectives. The first is to
determine what larval transport and survival can tell us about
patterns of recruitment and distribution in cold ocean
environments. Second, how does larval settlement contribute to
patterns of biodiversity in cold ocean environments, and what
aspects of temporal and spatial variation in the natural
environment influence these patterns? Finally, do we need to be
concerned about biodiversity loss when we consider the health and
functioning of the ecosystem, or are species largely
interchangeable in terms of the roles they play? This project is
funded by the Canada Research Chairs Program and the Canadian
Foundation for Innovation from 2003-2008.
Fishery population assessment through planktonic
sampling: B. deYoung (Physics), P. Pepin (DFO), J. Helbig (DFO)
and P.Snelgrove
The primary objective of this program is to develop an effective
method for conducting plankton surveys in physically dynamic
coastal environments. This goal is critical if we are to develop
egg and larval production models in pelagic spawning, cold ocean
species. As a management tool, egg production methods have been
used successfully in other areas of the world, but to date are not
used in Atlantic Canada. We seek to design a statistical
optimization approach for guiding on-going surveys that will enable
effective and accurate sampling in a coastal upwelling environment.
One component of the program will be the implementation of data
assimilation methods to a circulation model to enhance simulation
modelling of the coastal circulation. In particular, we will apply
these models to a series of ichthyoplankton surveys to verify the
accuracy of the model. This dynamic oceanographic approach will be
used in the assessment of inshore spawning stock abundance using
Egg Production Methods. This research will enhance the design of
plankton surveys and ensure statistically sound coverage while
allowing for corrections resulting from losses and transport during
the survey. This project is funded by NSERC Strategic Grants
Programs from 2001-2004.
Oceanographic Time Series from Cabled Observatories: B.
deYoung (Physics), D. Deibel (OSC), R. Hooper (Biology), C.
Parrish, R. Rivkin, P. Snelgrove (OSC), L. Zedel (Physics).
Oceanographic data in the past has been collected by ships in
limited oceanographic cruises that typically span a few days or
weeks, or by fixed instrument moorings that are typically
constrained by battery power and data availability in a hindcast
format. These approaches have given us useful snapshots of ocean
dynamics but we miss many important events in space and time that
likely play a very important role in natural systems. We are
involved in two newly funded projects which will enable us to
contribute toward overcoming these limitations of conventional
oceanography. One is a cabled observatory in Bonne Bay,
Newfoundland (www.bonnebay.mun.ca), where we
will study biological, chemical, and physical variation in a cold
ocean system that is ice covered for part of the year and subject
to strong seasonality in nutrients, production, temperature, and
physics. A related project (www.venus.uvic.ca) is a series of
three cabled observatories around Vancouver Island (project VENUS,
led by University of Victoria). Both of these projects have been
funded by the Canadian Foundation for Innovation. ). A third
project (www.neptunecanada.com) will
place a fiber optic cable into the deep sea on the Juan de Fuca
plate in the Pacific Ocean (project NEPTUNE).