10 research outputs found
Coral reef ecosystem - Monitoring and assessment using satellite data sets
Remaining in splendid isolation, the Andaman and Nicobar Islands have a great relevance
in the study of marine ecosystems. The islands, though remotely located in an ostensibly
pristine environment have born witness to serious issues with regard to their ecosystem
health. There are significant changes in the temperature and rain fall pattern in the islands
and predictive modelling has forecasted further damage in the near future. The inundation
of saline water into inland terrestrial ecosystems has created salinity stress to freshwater
species while reducing the water available for domestic consumption. Terrestrial flora and
fauna are vulnerable to the intruding saline waters. The marine ecosystem also faces grave
challenges. There are issues of anthropogenic pollution resulting in damage of corals, regime
shifts in community structure, water quality deterioration and other damage to marine
fauna
Adaptations to Climate Change Impacts on Coastal Fisheries and Aquaculture
Adaptations to Climate Change Impacts on Coastal Fisheries and Aquacultur
Marine climate and fisheries scenario of Kerala Climcard-3
Marine climate and fisheries scenario of Kerala Climcard-
ICAR Sponsored Winter School on Climate change impacts and resilient options for Indian marine fisheries
ICAR Sponsored Winter School on Climate change impacts and resilient options for Indian marine fisherie
Application of Information Communication Technology in Coastal Resilience through Income Improvement
Application of Information Communication Technology in Coastal Resilience through Income Improvemen
കേരളത്തിലെ കടൽ കാലാവസ്ഥയുടെയും മത്സ്യബന്ധന മേഖലയുടെയും സംക്ഷിപ്തരൂപം Climcard-3
കേരളത്തിലെ കടൽ കാലാവസ്ഥയുടെയും മത്സ്യബന്ധന മേഖലയുടെയും സംക്ഷിപ്തരൂപ
Not Available
Not AvailableVulnerability assessment frameworks are used in many countries to provide a primary
assessment status of marine fish stocks and their susceptibility to change in response to
external factors. With increasing evidence that the marine fisheries of India are likely to face major
impacts of changing climate along with other natural and anthropogenic factors, a study was carried
out to determine the relative vulnerability of 68 species of finfish and shellfish along the
Indian coast. Species selection was based on their abundance and importance in the fishery across
4 zones in the country (northeast, northwest, southeast and southwest) and on biological characteristics
like growth, reproduction and predator–prey interactions. Vulnerability assessment was
based on the relation between exposure, sensitivity and adaptability attributes, expressed as V =
(E + S) − A. The exposure attributes selected were environmental parameters that have a direct
impact on the fish stocks. Sensitivity attributes were biological characteristics that are indicative
of the ability or inability of the species to respond to external pressures. Adaptive capacity attributes
were biological and ecological traits that could help the species to adapt to a fluctuating or
changing environment. About 69% of the species studied are highly vulnerable along the Indian
coast, with their susceptibility being higher along the east coast. Fishing pressure contributes significantly
to stock fluctuations and reproductive output. Species with restricted geographic distribution
are especially vulnerable to climate change. The outcome of this study will serve as an
effective tool in prioritizing mitigation and fishery management strategies on a regional basis in
the country.Not Availabl
Assessment of stock vulnerability of Indian marine fishes to past changes in climate and options for adaptation
Vulnerability assessment frameworks are used in many countries to provide a primary
assessment status of marine fish stocks and their susceptibility to change in response to
external factors. With increasing evidence that the marine fisheries of India are likely to face major
impacts of changing climate along with other natural and anthropogenic factors, a study was carried
out to determine the relative vulnerability of 68 species of finfish and shellfish along the
Indian coast. Species selection was based on their abundance and importance in the fishery across
4 zones in the country (northeast, northwest, southeast and southwest) and on biological characteristics
like growth, reproduction and predator–prey interactions. Vulnerability assessment was
based on the relation between exposure, sensitivity and adaptability attributes, expressed as V =
(E + S) − A. The exposure attributes selected were environmental parameters that have a direct
impact on the fish stocks. Sensitivity attributes were biological characteristics that are indicative
of the ability or inability of the species to respond to external pressures. Adaptive capacity attributes
were biological and ecological traits that could help the species to adapt to a fluctuating or
changing environment. About 69% of the species studied are highly vulnerable along the Indian
coast, with their susceptibility being higher along the east coast. Fishing pressure contributes significantly
to stock fluctuations and reproductive output. Species with restricted geographic distribution
are especially vulnerable to climate change. The outcome of this study will serve as an
effective tool in prioritizing mitigation and fishery management strategies on a regional basis in
the country
Carbon Footprint of Marine Fisheries in India
The dynamic nature of India’s marine fisheries and the complexities there in, derived from the diversity of resources, grounds, craft-gear combinations, operation modes and communities involved, make any assessment of its components challenging. More so when global methodologies for such assessments are still in infancy. As a team of
researchers engaged for a decade in the estimation of carbon footprint in marine fisheries of India, we feel extremely glad at the outcome of a massive team-effort which paved way for this publication. Accessibility to information, compilation of data sets, analysis and final estimation
happened in a coherent manner despite several changes in the
constitution of the team during the study.
The importance of the marine fisheries sector in India prompted us to generate a baseline data to be compared with the latest changes and technological advancements in fishing operations to prove that our datasets remained scientifically robust for a Pan-India estimation. The
financial and conceptual support received from the Indian Council of Agricultural Research-National Innovations in Climate Resilient Agriculture (Marine Fisheries Component) helped us in coming up with this scientific document. The support received from Dr. J.K. Jena, Deputy Director
General (Fisheries Science), Dr. S.K. Chaudhari, Deputy Director General (Natural Resource Management), Indian Council of Agricultural Research (ICAR); Dr. V.K. Singh, Director, ICAR-CRIDA; and Dr M. Prabhakar, National
Principal Investigator, NICRA, ICAR, CRIDA throughout the study period was instrumental in the completion of this mammoth effort. As the nation looks forward towards ‘net-zero emissions’ as per the agreement of the Conference of the Parties (COP), we as part of the team dealing with
climate resilience feel delighted to understand that Indian marine fisheries remain greener, sustainable, and resilient in comparison to our global counterparts. The small-scale nature of the fishery with a large volume of fisher participation moved us in a way that we believe that our realization will be a step forward in recognizing the hard labour of fishers who emit less when their industrial trawling counterparts elsewhere continue to use more fossil fuels.
The result of our study on carbon footprint of marine fisheries in India seems like a silver lining for this sector which is otherwise facing serious climate related challenges being in a vulnerable geographical setting. We
strongly believe that our policy planners will be able to use this document in evolving fishery management measures to mitigate the challenges posed by climate change