OHI+ Tanzania_Technical Report_2018

Ocean Health Index – Tanzania 2018 45
compared to 30%
target
Protected area
management
effectiveness
Artisanal fisheries
management
effectiveness
Social progress
Management
Effectiveness
Tracking Tool (METT)
scores
Scores based on
expert-opinion
survey answers
related to quality of
management of
small-scale fishing
Inverse of multidimensional
poverty
index
Local
2018 MPRU METT results for MPAs
Global Global data were extracted from (Mora et al., 2009),
Figure S4.
https://journals.plos.org/plosbiology/article?id=10.1371/
journal.pbio.1000131
Local Tanzania Human Development Report 2014
(http://hdr.undp.org/en/content/tanzania-humandevelopment-report-2014)
Strength of
governance
Management of
waters to preserve
biodiversity
Worldwide
Governance Indicator
score for Tanzania for
2015
Country responses to
the Convention on
Biological Diversity
(CBD) Third National
Report (2005).
Global
Global
The Worldwide Governance Indicator (WGI) is composed
of six dimensions of governance: voice and
accountability, political stability and absence of violence,
government effectiveness, regulatory quality, rule of law,
control of corruption.
(http://info.worldbank.org/governance/wgi/#home)
Country responses to the Convention on Biological
Diversity (CBD) Third National Report (2005).
https://github.com/OHI-Science/ohiglobal/blob/draft/eez/layers/po_water.csv
Water quality
8.8. Habitat goal model and analysis
The status of the habitat sub-goal, x hab , was assessed as the average of the health/condition estimates, C,
for each habitat, k, present in a region; measured as the loss of habitat and/or % degradation of remaining
habitat, such that:
where, C k =C c /C r and N is the number of habitats in a region. C c is the current condition
and C r is the reference condition specific to each k habitat present in the region. This
formulation ensures that each country is assessed only for those habitats that can
exist.
For both coral reef and mangrove data, the linear trend across the latest 5 years of data for each region
was calculated and the trend score was normalised using the following formula:
linear change in cover per year
cover of the first year
× number of years (score>1 capped at 1, and score