Climate Change and Marine Fisheries in Africa : Assessing Vulnerability and Strengthening Adaptation Capacity
The understanding of the impacts of climate change on fisheries is constantly increasing and can be organized around several main factors - ocean acidification, sea-level rise, higher water temperatures, deoxygenation, changes in ocean currents - a...
Main Author: | |
---|---|
Language: | English |
Published: |
World Bank, Washington, DC
2020
|
Subjects: | |
Online Access: | http://documents.worldbank.org/curated/en/280891580715878729/Climate-Change-and-Marine-Fisheries-in-Africa-Assessing-Vulnerability-and-Strengthening-Adaptation-Capacity http://hdl.handle.net/10986/33315 |
Summary: | The understanding of the impacts of
climate change on fisheries is constantly increasing and can
be organized around several main factors - ocean
acidification, sea-level rise, higher water temperatures,
deoxygenation, changes in ocean currents - although these
factors are unequally known and hard to model in terms of
scope - where they will occur and where they will be felt
the most - and severity. For instance, although the impacts
of acidification are not as well understood as the effects
of the other impacts, and are more difficult to measure, it
is likely that they are more severe and widespread,
particularly on shell-forming species, invertebrates, and
coral associated species and throughout any carbon-dependent
ecological processes. This report aims to assess, to the
extent possible, the potential impact of climate change on
fisheries and the related well-being of coastal African
countries. It focuses on how the observed and anticipated
ecological impacts of climate change are likely to affect
fish stocks and the fisheries that depend on them and
highlights the coastal countries and regions in Africa that
are most vulnerable to climate change. Based on these
projections, the report further assesses subsequent
socioeconomic impacts on coastal countries and communities.
The report concludes with a discussion of lessons learned
from the modeling results. |
---|