Kenya scored fairly well with 74 for the Habitat sub-goal. Lamu and Kwale counties scored highest (final score of 92.4 and 89 respectively) and Tana River scored the lowest (final score of 44.5). In all counties except Lamu, and overall (nationally), future ecosystem health was projected to decline in the near future.
Assessing the Fisheries sub-goal presented significant challenges. In Kenya, 25 stocks at different levels of classification (family, genus, species) were assessed, but only 25% of these stocks had catch data disaggregated at a county level, and only 13 stocks were at species level and had b/bMSY estimates calculated from data-limited methods. This meant that just under 50% of stocks had scores which had to be gap-filled using median scores. Thus the b/bMSY model used in the OHI was severely data-limited and poorly applicable for sub-national assessment and this multi-gear and multi-species fishery.
Map showing delineation of soft county boundaries forming 5 ‘regions’ for the assessment. The proposed sub-divisions of Kenya’s ocean territory are purely hypothetical and have been made solely for the purpose of the OHI+ Kenya assessment.