Warming waters lead to increased habitat suitability for juvenile bull sharks (Carcharhinus leucas).

Coastal ecosystems are highly vulnerable to the impacts of climate change and other stressors, including urbanization and overfishing. Consequently, distributions of coastal fish have begun to change, particularly in response to increasing temperatures linked to climate change. However, few studies have evaluated how natural and anthropogenic disturbances can alter species distributions in conjunction with geophysical habitat alterations, such as changes to land use and land cover (LU/LC). Here, we examine the spatiotemporal changes in the distribution of juvenile bull sharks (Carcharhinus leucas) using a multi-decadal fishery-independent survey of coastal Alabama. Using a boosted regression tree (BRT) modeling framework, we assess the covariance of environmental conditions (sea surface temperature, depth, salinity, dissolved oxygen, riverine discharge, Chl-a) as well as historic changes to LU/LC to the distribution of bull sharks. Species distribution models resultant from BRTs for early (2003-2005) and recent (2018-2020) monitoring periods indicated a mean increase in habitat suitability (i.e., probability of capture) for juvenile bull sharks from 0.028 to 0.082, concomitant with substantial increases in mean annual temperature (0.058°C/yr), Chl-a (2.32 mg/m3), and urbanization (increased LU/LC) since 2000. These results align with observed five-fold increases in the relative abundance of juvenile bull sharks across the study period and demonstrate the impacts of changing environmental conditions on their distribution and relative abundance. As climate change persists, coastal communities will continue to change, altering the structure of ecological communities and the success of nearshore fisheries.

Defining distribution and habitat use of west-central Florida's coastal sharks through a research and education program.

Identifying critical habitat for highly mobile species such as sharks is difficult, but essential for effective management and conservation. In regions where baseline data are lacking, non-traditional data sources have the potential to increase observational capacity for species distribution and habitat studies. In this study, a research and education organization conducted a 5-year (2013-2018) survey of shark populations in the coastal waters of west-central Florida, an area where a diverse shark assemblage has been observed but no formal population analyses have been conducted. The objectives of this study were to use boosted regression tree (BRT) modeling to quantify environmental factors impacting the distribution of the shark assemblage, create species distribution maps from the model outputs, and identify spatially explicit hot spots of high shark abundance. A total of 1036 sharks were captured, encompassing eleven species. Abundance hot spots for four species and for immature sharks (collectively) were most often located in areas designated as "No Internal Combustion Engine" zones and seagrass bottom cover, suggesting these environments may be fostering more diverse and abundant populations. The BRT models were fitted for immature sharks and five species where n > 100: the nurse shark (Ginglymostoma cirratum), blacktip shark (Carcharhinus limbatus), blacknose shark (C. acronotus), Atlantic sharpnose shark (Rhizoprionodon terraenovae), and bonnethead (Sphyrna tiburo). Capture data were paired with environmental variables: depth (m), sea surface temperature (°C), surface, middle, and bottom salinity (psu), dissolved oxygen (mg/L), and bottom type (seagrass, artificial reef, or sand). Depth, temperature, and bottom type were most frequently identified as predictors with the greatest marginal effect on shark distribution, underscoring the importance of nearshore seagrass and barrier island habitats to the shark assemblage in this region. This approach demonstrates the potential contribution of unconventional science to effective management and conservation of coastal sharks.

The greenhouse gas offset potential from seagrass restoration.

Awarding CO2 offset credits may incentivize seagrass restoration projects and help reverse greenhouse gas (GHG) emissions from global seagrass loss. However, no study has quantified net GHG removal from the atmosphere from a seagrass restoration project, which would require coupled Corg stock and GHG flux enhancement measurements, or determined whether the creditable offset benefit can finance the restoration. We measured all of the necessary GHG accounting parameters in the 7-km2 Zostera marina (eelgrass) meadow in Virginia, U.S.A., part of the largest, most cost-effective meadow restoration to date, to provide the first seagrass offset finance test-of-concept. Restoring seagrass removed 9,600 tCO2 from the atmosphere over 15 years but also enhanced both CH4 and N2O production, releasing 950 tCO2e. Despite tripling the N2O flux to 0.06 g m-2 yr-1 and increasing CH4 8-fold to 0.8 g m-2 yr-1, the meadow now offsets 0.42 tCO2e ha-1 yr-1, which is roughly equivalent to the seagrass sequestration rate for GHG inventory accounting but lower than the rates for temperate and tropical forests. The financial benefit for this highly successful project, $87 K at $10 MtCO2e-1, defrays ~10% of the restoration cost. Managers should also consider seagrass co-benefits, which provide additional incentives for seagrass restoration.

Internet Programming to Reduce Loneliness and Social Isolation in Aging.

Loneliness and social isolation in older adults carry mortality risks similar to cigarette smoking. The study aim was to use a Culturally Informed Healthy Aging (CIHA) assessment process in Housing and Urban Development (HUD) communities of older adults (N = 262). Through the CIHA assessment process, older adults identified pertinent health problems and the study team developed a health intervention, an Internet Information Station (IIS). The IIS pilot study included computer lesson participation (n = 261), written feedback (n = 42), and the revised University of California, Los Angeles (R-UCLA) Loneliness Scale (n = 11). Increased confidence with technology and connectedness were reported, and a significant difference in "There is no one I can turn to" was observed (IIS compared to non-IIS). The IIS remains an active site for interaction 1-year post intervention. These pilot results supplement the research on older adult engagement in problem identification, intervention design, and outcomes measurement. TARGET: Older adults living in HUD communities. INTERVENTION DESCRIPTION: Through CIHA assessment, health problems were identified, and the IIS was developed and implemented. MECHANISMS OF ACTION: Lessons were developed (e.g., computer basics, connecting with technology, open forum) and evaluated. Pre and post lesson, the R-UCLA Loneliness Scale measured social isolation and loneliness. OUTCOMES: Older adults were engaged in problem identification, program development, and implementation. Feelings of connectedness improved; however, program evaluation with the R-UCLA scale was difficult to obtain. [Research in Gerontological Nursing, 13(5), 233-242.].

Community Models of Care: A Scoping Review.

Nurse preparation and role in community models of care for older adults is not well documented. The purpose of the current structured scoping literature review was to identify nurse-led or nurse-involved community models of care for older adults, articulate the nurse's role and preparation in the model, and identify Triple Aim policy implications. Literature from 2008 through 2014 yielded 34 models identified in 51 articles. Twenty-one of 34 models were evaluated and none clearly articulated the full impact of a nurse role. Policy implications include: (a) consensus on degree preparation for nurses working in communities with older adults; (b) clearly defined nurse-sensitive measurements that capture the role of nursing in ambulatory and community care; (c) nonrestrictive scopes of practice for gerontological nurses and adult-gerontological nurse practitioners to extend their role beyond clinic settings; and (d) extending beyond value-based payment, which currently is largely physician awarded, and including additional Medicare and Medicaid policy to support nurses, community-level practice, and reimbursement. [Journal of Gerontological Nursing, 42(12), 12-20.].