Mapping reef fish and the seascape: using acoustics and spatial modeling to guide coastal management

Reef fish distributions are patchy in time and space with some coral reef habitats supporting higher densities (i.e., aggregations) of fish than others. Identifying and quantifying fish aggregations (particularly during spawning events) are often top priorities for coastal managers. However, the rapid mapping of these aggregations using conventional survey methods (e.g., non-technical SCUBA diving and remotely operated cameras) are limited by depth, visibility and time. Acoustic sensors (i.e., splitbeam and multibeam echosounders) are not constrained by these same limitations, and were used to concurrently map and quantify the location, density and size of reef fish along with seafloor structure in two, separate locations in the U.S. Virgin Islands. Reef fish aggregations were documented along the shelf edge, an ecologically important ecotone in the region. Fish were grouped into three classes according to body size, and relationships with the benthic seascape were modeled in one area using Boosted Regression Trees. These models were validated in a second area to test their predictive performance in locations where fish have not been mapped. Models predicting the density of large fish (≥29 cm) performed well (i.e., AUC = 0.77). Water depth and standard deviation of depth were the most influential predictors at two spatial scales (100 and 300 m). Models of small (≤11 cm) and medium (12–28 cm) fish performed poorly (i.e., AUC = 0.49 to 0.68) due to the high prevalence (45–79%) of smaller fish in both locations, and the unequal prevalence of smaller fish in the training and validation areas. Integrating acoustic sensors with spatial modeling offers a new and reliable approach to rapidly identify fish aggregations and to predict the density large fish in un-surveyed locations. This integrative approach will help coastal managers to prioritize sites, and focus their limited resources on areas that may be of higher conservation value

The oil hegemonic system and game theory: regional vs. Trans-regional powers in the Middle East

Despite having the largest reserves and forecasts for undiscovered hydrocarbon energy resources in the world, which highlights global energy dependence on the Middle East, a distinct lack of cooperation between regional governments is accompanied by incoherent energy policies and governmental processes that enable trans-regional powers (mainly, Western powers) to dominate resource exploitation and “win the game.” A lack of cooperation between Middle Eastern oil producing countries as well as attendant competition and rivalry allows significant leverage for Western powers to pit one Middle Eastern country against another; thus, permitting Western energy hegemony in the region. Using game theory and a qualitative analytical approach, the authors posit that trans-regional powers, to their advantage, have hegemonic control over regional Middle Eastern powers that maintain the pace of energy production to supply growing demands for predominantly western consumption. The Middle East countries will continue to lose the “game,” especially Iran and Saudi Arabia, if they do not reconcile differences and exploit options for regional cooperation. Such a modification in relations would allow coherent policies and governmental structures to institutionalize and reverse the current trend for extrinsic hegemony

Inorganic chemistry and IONiC: an online community bringing cutting-edge research into the classroom

This Viewpoint highlights creative ways that members of the Interactive Online Network of Inorganic Chemists (IONiC) are using journal articles from Inorganic Chemistry to engage undergraduate students in the classroom. We provide information about specific educational materials and networking features available free of charge to the inorganic community on IONiC\u27s web home, the Virtual Inorganic Pedagogical Electronic Resource (VIPEr, www.ionicviper.org ) and describe the benefits of joining this community

Building an Online Teaching Community: An Evolving Tale of Communication, Collaboration, and Chemistry in Enhancing Learning with Online Resources, Social Networking, and Digital Libraries

The Interactive Online Network of Inorganic Chemists (IONiC) has grown from a small group of faculty to a national and international network focused on improving inorganic chemistry learning. IONiC’s vision is to create a community of teachers and learners who make teaching visible using social networking tools to share, discuss, test, and assess their teaching methods. The features that have allowed the IONiC community to develop and grow and IONiC’s vision for the future are described. It is likely that the lessons learned apply to other groups seeking to develop professional communities through social networking

Modeled Sea Level Rise Impacts on Coastal Ecosystems at Six Major Estuaries on Florida’s Gulf Coast: Implications for Adaptation Planning

<div><p>The Sea Level Affecting Marshes Model (SLAMM) was applied at six major estuaries along Florida’s Gulf Coast (Pensacola Bay, St. Andrews/Choctawhatchee Bays, Apalachicola Bay, Southern Big Bend, Tampa Bay and Charlotte Harbor) to provide quantitative and spatial information on how coastal ecosystems may change with sea level rise (SLR) and to identify how this information can be used to inform adaption planning. High resolution LiDAR-derived elevation data was utilized under three SLR scenarios: 0.7 m, 1 m and 2 m through the year 2100 and uncertainty analyses were conducted on selected input parameters at three sites. Results indicate that the extent, spatial orientation and relative composition of coastal ecosystems at the study areas may substantially change with SLR. Under the 1 m SLR scenario, total predicted impacts for all study areas indicate that coastal forest (-69,308 ha; -18%), undeveloped dry land (-28,444 ha; -2%) and tidal flat (-25,556 ha; -47%) will likely face the greatest loss in cover by the year 2100. The largest potential gains in cover were predicted for saltmarsh (+32,922 ha; +88%), transitional saltmarsh (+23,645 ha; na) and mangrove forest (+12,583 ha; +40%). The Charlotte Harbor and Tampa Bay study areas were predicted to experience the greatest net loss in coastal wetlands The uncertainty analyses revealed low to moderate changes in results when some numerical SLAMM input parameters were varied highlighting the value of collecting long-term sedimentation, accretion and erosion data to improve SLAMM precision. The changes predicted by SLAMM will affect exposure of adjacent human communities to coastal hazards and ecosystem functions potentially resulting in impacts to property values, infrastructure investment and insurance rates. The results and process presented here can be used as a guide for communities vulnerable to SLR to identify and prioritize adaptation strategies that slow and/or accommodate the changes underway.</p></div

Digital Elevation Model (DEM) inputs and NOAA tide stations utilized for all study areas.

<p>Tidal parameters and location of stations informed the creation of subsites for each study area as illustrated in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0132079#pone.0132079.g001" target="_blank">Fig 1</a>.</p

Quantitative SLAMM Results–coastal ecosystem change under a 1 meter SLR scenario through the year 2100, developed dry land protected from changing.

<p>¹Results exclude tidal flats with no elevation data (approximately 10,000 ha).</p><p>Quantitative SLAMM Results–coastal ecosystem change under a 1 meter SLR scenario through the year 2100, developed dry land protected from changing.</p