Who benefits and who looses ?Estimating the value of ecosystem goods and services in the Watamu Marine Park and Reserve, Kenya

Présentation avec posterinfo:eu-repo/semantics/publishedYoung Marine Scientists’ Day Vlaams Instituut voor de Zee (VLIZ), 25 février, Brugge, Belgiqu

Are mangroves sustainable as peri-urban forests? A Case Study of Mombasa, Kenya

Présentation avec posterinfo:eu-repo/semantics/publishedHexennial International Conference ‘Meeting on Mangrove ecology, functioning and Management – MMM3’, 2-6 juillet, Galle, Sri Lank

Participatory assessment of priority fishery profiles in an overfished urban inshore seascape in Kenya

This study presents a participatory assessment of overfished small-scale fisheries from selected landing sites in coastal Kenya using mixed quantitative and qualitative research methods. A seven-criteria ranking using a modified Delphi questionnaire with a 5-point Likert scale was used. Through a process of scoring the fisheries on these crite- ria, marine aquarium fishing ranked highest with 86.7%, while beach seine ranked lowest at 55.3%. Averaging of scores and ranking across focus group discussions (FGDs) and key informant interviews (KIIs) at individual sites resulted in the following highest scorers: handlines (58.6%), octopus (55.9%), and basket traps (52.5%) for Bamburi; aquar- ium fishing (86.7%), handlines (85.5%), and reef-seines for Marina/Mtwapa; mixed pelagic (60.7%), octopus (60.5%), and rabbitfish (58.4%) for Nyali; and basket traps (70.4%), handline (57.8%), and monofilament nets (64.3%) for Reef. Destruction of critical habitats and prohibitive costs of fishing crafts were key management issues identified through scoring and ranking criteria, while 22 management issues were identified through FGDs. These findings suggest an existing spatial mixture of differences and commonalities among fisheries profiles and management issues. This study revealed trade-offs that should be incorporated in the co-management plans of the respective Beach Management Units (BMUs) in coastal Kenya

Estimating the value of Goods and Services in a Marine Protected Area: The Case of Watamu Marine National Park and Reserve, Kenya

Présentation avec posterinfo:eu-repo/semantics/publishedHexennial International Conference ‘Meeting on Mangrove ecology, functioning and Management – MMM3’, 2-6 juillet, Galle, Sri Lank

Identifying species threatened with local extinction in tropical reef fisheries using historical reconstruction of species occurrence

Identifying the species that are at risk of local extinction in highly diverse ecosystems is a big challenge for conservation science. Assessments of species status are costly and difficult to implement in developing countries with diverse ecosystems due to a lack of species-specific surveys, species-specific data, and other resources. Numerous techniques are devised to determine the threat status of species based on the availability of data and budgetary limits. On this basis, we developed a framework that compared occurrence data of historically exploited reef species in Kenya from existing disparate data sources. Occurrence data from archaeological remains (750-1500CE) was compared with occurrence data of these species catch assessments, and underwater surveys (1991-2014CE). This comparison indicated that only 67 species were exploited over a 750 year period, 750-1500CE, whereas 185 species were landed between 1995 and 2014CE. The first step of our framework identified 23 reef species as threatened with local extinction. The second step of the framework further evaluated the possibility of local extinction with Bayesian extinction analyses using occurrence data from naturalists' species list with the existing occurrence data sources. The Bayesian extinction analysis reduced the number of reef species threatened with local extinction from 23 to 15. We compared our findings with three methods used for assessing extinction risk. Commonly used extinction risk methods varied in their ability to identify reef species that we identified as threatened with local extinction by our comparative and Bayesian method. For example, 12 of the 15 threatened species that we identified using our framework were listed as either least concern, unevaluated, or data deficient in the International Union for the Conservation of Nature red list. Piscivores and macro-invertivores were the only functional groups found to be locally extinct. Comparing occurrence data from disparate sources revealed a large number of historically exploited reef species that are possibly locally extinct. Our framework addressed biases such as uncertainty in priors, sightings and survey effort, when estimating the probability of local extinction. Our inexpensive method showed the value and potential for disparate data to fill knowledge gaps that exist in species extinction assessments