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A comprehensive assessment of mangrove species and carbon stock on Pohnpei, Micronesia.

ABSTRACT: Mangrove forests are the most important ecosystems on Pohnpei Island, Federated States of Micronesia, as the island communities of the central Pacific rely on the forests for many essential services including protection from sea-level rise that is occurring at a greater pace than the global average. As part of a multi-component assessment to evaluate vulnerabilities of mangrove forests on Pohnpei, mangrove forests were mapped at two points in time: 1983 and 2018. In 2018, the island had 6,426 ha of mangrove forest. Change analysis indicated a slight (0.76%) increase of mangrove area between 1983 and 2018, contrasting with global mangrove area declines. Forest structure and aboveground carbon (AGC) stocks were inventoried using a systematic sampling of field survey plots and extrapolated to the island using k-nearest neighbor and random forest species models. A gridded or wall to wall approach is suggested when possible for defining carbon stocks of a large area due to high variability seen in our data. The k-nearest neighbor model performed better than random forest models to map species dominance in these forests. Mean AGC was 167 ± 11 MgC ha-1, which is greater than the global average of mangroves (115 ± 7 MgC ha-1) but within their global range (37-255 MgC ha-1) Kauffman et al. (2020). In 2018, Pohnpei mangroves contained over 1.07 million MgC in AGC pools. By assigning the mean AGC stock per species per area to the map, carbon stock distributions were visualized spatially, allowing future conservation efforts to be directed to carbon dense stands.

SUBMITTER: Woltz VL

PROVIDER: S-EPMC9302747 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Fish spawning aggregations (FSA) act as biological hotspots that concentrate food and nutrients across a broad trophic spectrum. In Pohnpei (Federated States of Micronesia), 20 female grey reef sharks (Carcharhinus amblyrhynchos) were acoustically tagged at two multi-species grouper (Epinephelidae) FSA to examine the likelihood that these mesopredators utilize FSA as a seasonal food source. Both FSA sites are within small-scale MPAs, thus providing a secondary opportunity to examine their conservation potential during these ephemeral events. Shark movement and residency was gauged against known spatial and temporal grouper reproductive patterns using an array of 15 and 50 acoustic receivers at Ant Atoll and Pohnpei (Island), respectively. Activity space was investigated using Kernel Density estimates of individual sharks, and residency indices (RI) were analyzed based on daily and monthly occurrence at the array. Three distinct residency patterns were identified: transient, semi-transient, or resident (Daily RI <0.40, >0.40 to 0.80, or >0.80, respectively). Generalized linear mixed models (GLMMs) were used to identify biological and environmental factors influencing shark activity space, including month, temperature, shark size, spawning month, and residency pattern. Findings revealed significant changes in average monthly residency indices and kernel densities during spawning months in support of an opportunistic foraging strategy around FSA. Monthly residency was higher during spawning months among semi-resident and transient sharks, while average monthly activity space was concentrated around FSA. Best-fit models for the GLMM indicated that activity spaces were most influenced by month and grouper spawning month. Seven of 20 sharks demonstrated inter-island movement and wide variations in individual movement and spatial requirements were shown. The concentration of sharks and groupers at unprotected FSA sites increases their vulnerability to fishing and supports the need for combined area and non-area management measures to effectively protect these species.

Project description:BackgroundThe burden of cardiovascular disease (CVD) is increasing in low-to-middle income countries (LMIC). Although strong evidence for inverse associations between socioeconomic position and health outcomes in high-income countries exists, less is known about LMIC. Understanding country-level differences is critical to tailoring effective population health policy and interventions. We examined the association of socioeconomic position and demographic characteristics in determining CVD risk factors among adults living in Pohnpei, Federated States of Micronesia.MethodsWe used data from the cross-sectional World Health Organization's STEPwise approach to surveillance 2002 Pohnpei dataset and logistic regression analyses to examine the association of socioeconomic position (education, income, employment) and demographics (age, sex) with selected behavioral and anthropometric CVD risk factors. The study sample consisted of 1638 adults (642 men, 996 women; 25-64 years).ResultsIn general, we found that higher education (?13 years) was associated with lower odds for daily tobacco use (odds ratio [OR]: 0.46, confidence interval [CI]: 0.29-0.75, p = 0.004) and low physical activity (OR: 0.55, CI: 0.34-0.87, p = 0.027). Men had over three times the odds of daily tobacco use than women (OR: 3.18, CI: 2.29-4.43, p < 0.001). Among women, paid employment nearly doubled the odds of daily tobacco use (OR: 1.72, CI: 1.08-2.73, p = 0.006) than unemployment. For all participants, income >?$10,000 was associated with over twice the odds of high blood pressure (BP) (OR: 2.24, CI: 1.43-3.51, p = 0.003), versus lower-income (<$5,000). Men had over twice the odds of high BP (OR: 2.01, CI: 1.43-2.83, p < 0.001) than women. Paid employment nearly doubled the odds of central obesity with the magnitude of association increasing by more than 20% adjusted for sex and age. Men reporting paid employment had three times the odds of central obesity (OR: 3.00, CI: 1.56-5.78, p < 0.001) than those unemployed.ConclusionOur analysis revealed associations between socioeconomic position and selected CVD risk factors, which varied by risk-factor, sex and age characteristics, and direction of association. The 2002 Pohnpei dataset provides country-level baseline information; further population health surveillance might define trends. Stronger country-level data might help decision-makers tailor population-based prevention strategies.

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A comprehensive assessment of mangrove species and carbon stock on Pohnpei, Micronesia.

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