research and publications
about the institute
news and events
Research Agenda
 

The Institute’s research and training drives are governed by national policy priorities as well as the Institute's obligation to contribute to scientific knowledge. Thus existing policies have to be revisited to identify areas where Institute’s mandate is relevant. These included Research Priority Areas drawn by the (COSTECH – www.costech.or.tz) and some sector policies including the National Environmental Policy, National Fisheries Sector Policy and Strategy Statement, National Higher Education Policy, etc. Presently, the Intergovernmental Oceanographic Commission (IOC) of UNESCO urges governments worldwide to place the protection and conservation of the ocean and its resources at a high level of priority within their national programmes, and cooperate in national efforts to resolve ocean issues of mutual concern. With this view, the Institute has set the following research and training priority themes:

1. CLIMATE VARIABILITY, CHANGE AND IMPACTS
This is a theme that is prominent in the Coastal Global Ocean Observation System Implementation Plan of the Intergovernmental Oceanographic Commission (IOC) and so, by implication, is a key issue for the Institute’s direction in science. There are several areas where climate variability and climate change impacts are issues for the Open Ocean and coastal marine environment. Therefore, there is a need for a more strategic approach where marine impact issues can be seen in the whole. In this respect, the Institute shall provide a focal point for networking and coordination of research on marine impacts from climate, climate variability and climate change. In so doing the Institute shall integrate a range of issues and create a research and training programmes in areas such as sea level rise, coral bleaching, calcification, acidity, changes in ecosystems, etc; and link them to natural marine hazards.

2. SCIENCE FOR INTEGRATED COASTAL AREA MANAGEMENT
With its mandate, the Institute is in a unique position to lead and coordinate coastal ocean science and link it to coastal area management. This theme will create many opportunities for synergy with existing Open Ocean and physical ocean initiatives. In this respect, the Institute will provide a focal point for networking and coordinating all aspects of coastal ocean research. Under this theme, the Institute shall undertake research and provide training in Coastal Ocean prediction and predictability, support and underpin the development and evolution of the coastal ocean observing system (a cross-cutting theme).

3. REMOTE SENSING
The justification for observing the ocean from space lies in the need to integrate the products obtained in the various models aimed at improving forecasts on a worldwide scale. Continuous ocean observation from space is thus an essential component in global meteorological forecasting programmes. This is because long-term climate monitoring, medium-term seasonal analyses and the search for solutions to short-term daily problems cannot be undertaken without the help of satellite images.
Furthermore, any programme aimed at obtaining a continuous forecast of future sea conditions, the most accurate possible real-time description of the current state of the sea and an archive of long-term climate data making it possible to describe the past state of the sea cannot today be implemented without the help of remote sensing.
Remote sensing is an essential tool in marine and coastal environment management from the standpoint of sustainability.

4. CENSUS OF MARINE LIFE
The main goal of this programme should be to study the spatial-temporal dynamics of biodiversity, distribution and abundance of marine biota. This initiative is supposed to be a fundamental point for conservation and sustainable use of the marine living resources. Specific objectives of this programme are:

5. MARICULTURE
There is an increasing demand for protein in the coastal areas as a result of increasing human population, coastal urbanisation, coastal tourism and general demand for seafood. Habitation and degradation of the terrestrial environment through deforestation, overgrazing and pollution is also reducing the size of the terrestrial productive land. The increasing coastal population, lack of facilities for deep sea fisheries and increasing demand for seafood is creating pressure on the marine environment through increase in catch per unit effort has lead to decreasing resources implied by decreasing catch per unit effort and decrease in the average size of the catch. Already the fisheries in Tanzania is said to be at the maximum and some areas are over-fished. The Institute has, therefore, embarked actively on mariculture research, development and extension education for seaweed, shellfish and finfish. While some of the studies are still at experimental stages, others are at pilot and production stages.

6. MODELLING, GIS AND MARINE GEOINFORMATICS
The purpose of establishing a modelling subsystem is to assimilate data generated from the measurement network (in situ and remotely sensed observations) to (1) produce more accurate estimates of the variables, their distributions, and associated errors; (2) develop, test and validate models, and (3) initialise and update models for improved predictions. Model outputs includes comprehensive and integrated spatial representations of past (hind-casts), present (now casts) and future (forecasts) states of the coastal ocean.
Achieving these capabilities, or improving them, should begin by engaging user groups to define data and information needs (products and services) and developing and updating inventories of modelling capabilities and activities that satisfy these needs. This will provide the basis for selecting, developing and/or improving models through community-based modelling networks.

With computer modeling systems shoreline changes in terms of areas and times are to be undertaken, thus improving the knowledge on susceptibility of shorelines change. The transport of pollutants, e.g. oil spills, contaminant outfalls, harmful algae, blooms, etc will be able to be predicted and tracked, enabling clean-ups and preventive measures to be effectively carried out and key habitats protected. Tourism is very sensitive to the above factors and the ability to predict these threats will allow for protecting the tourism areas. Living marine resources are impacted by the ocean transfer of eggs and larvae and pollution can disrupt these resources. The long-term understanding of the ocean that numerical modeling gives, will improve the information needed to achieve sustainability. These predictions will mitigate the negative socio-economic impacts of these stressors and thus address poverty conditions. Distribution of fish is dependent on ocean conditions and predictions will assist fisheries and food security and fishing tourism].

IMS should therefore encourage crosscutting activities and interdisciplinary approaches to address ecosystem issues and to increase predictive abilities. Modeling should enhance the ability to integrate Climatic change scenarios into ecosystems. Biogeochemical models mainly see the upper part of the food web, but lower part of food web only in terms of mortality, while fish stock models see the lower part of the food in terms of prescribed zooplankton biomass. After the great success of coupling physical and biogeochemical/ecosystem models, we could encourage attempts to bridge the gap between fisheries models and biogeochemical models. Modeling requires data, but models can help to optimize observations. IMS should catalyze courses on modeling to help with education in modeling and data management.

  1. To identify the dynamics of diversity, distribution and abundance of fisheries and particular marine biota, with emphasis on economically, ecologically and tourism important species.
  2. To map all shallow water ecosystems in Tanzania such as mangroves, seagrass beds, coral reefs; their distribution and abundance of their associated biota
  3. To study hydrographic and oceanographic characteristics, water quality, and the spatial-temporal dynamics of socio-economics and demographic characteristics of coastal communities

7. COASTAL MODULE OF THE GLOBAL OCEAN OBSERVATION SYSTEM
Coastal nations worldwide are experiencing changes in their coastal marine and estuarine systems that jeopardise sustainable development, human health and safety, and the capacity of marine ecosystems to support products and services valued by society. Changes of concern include increase in the susceptibility of coastal populations to flooding, tsunamis, erosion and disease, habitat loss, declines in living resources, harmful algal blooms and mass mortalities of marine mammals and birds. Such trends reflect the combined effects of both natural processes and human uses.

Because these changes, their causes and their effects often transcend national boarders, numerous international treaties and conventions have been agreed. To that require sustained, routine and reliable observations of oceanic coastal, terrestrial and atmospheric systems on local, regional and global scales. Implementation of the coastal module of the Global Ocean Observation System (GOOS) will provide the required data and information on coastal marine and estuarine systems nationwide. The coastal module of GOOS is intended to develop an integrated and holistic approach to addressing six goals for the public good:

  • Improve the capacity to detect and predict the effects of global climate change on coastal ecosystems;
  • Improve the safety and efficiency of marine operations;
  • Control and mitigate the effects of natural hazards more efficiently
  • Reduce public health risks;
  • Protect and restore healthy ecosystems more effectively; and
  • Restore and sustain living marine resources more effectively.
Routine, continuous provision of reliable data and information required to address these goals will make possible rapid and repeated assessments of the condition of coastal marine and estuarine ecosystems; timely predictions of the effect of extreme weather, climate change and human activities; and the development of ecosystem-based approaches to managing and mitigating the effects of human activities and natural variability on socio-economic systems that underpin the health and well-being of human populations.
This strategy calls for the establishment of a national coastal ocean observing systems. The development of the national observing system is needed to create a national coastal network that (i) measures, manages and analyses common variables needed by all or most coastal nations and regions; (ii) establishes sentinel and reference stations; and (iii) implements internationally accepted standards and protocols for measurements, data telemetry, data management and modelling The provisional common variables include geographical variables (temperature, salinity, currents, waves, sea level, shoreline position, bathymetry, sediment grain size), chemical variables (dissolved inorganic nutrients, dissolved oxygen, sediment organic content), biological variables, (faecal indicators, phytoplankton biomass, benthic biomass), and biophysical variables (optical properties).
 
Institute of Marine Sciences, Mizingani Rd, P.O Box 668 Zanzibar Tanzania
Phone 255-24-2232128/2230741 | Fax: 255-24-2233050| E-mail : director@ims.udsm.ac.tz| The Webmaster: webmaster@ims.udsm.ac.tz
research and publications
academics

Menu
Home

Tanzania National Oceanographic Data Center
Data management
Information Management

Local Links
University of Dar es Salaam

 


International Links
International Oceanographic Data and Information Exchange
Indian Ocean sea level gauge monitor dashboard - TideTool
historical background aims and objectives functions of the institute strategic objectives information for visitors contacts
publications research activities research and training facilities
study programmes at IMS university fees application form for admission scholarship opportunities
upcoming events news & previous events