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26 results for “Coastal management”
Sea-level rise and freshwater management are reshaping coastal ecosystems in the Florida Everglades
Datasets include hydrology (water level and salinity), net ecosystem exchange of CO2, photosynthetically active radiation (PAR), and air temperature for a freshwater marl prairie, brackish marsh ecotone, and saline scrub mangrove forest. Data were derived from multiple sources, including two sites from the South Florida Water Management District (SFWMD) DBhydro web database, two sites from the Florida Coastal Everglades Long Term Ecological Research (FCE-LTER) program and three AmeriFlux sites in the Southeastern Everglades region. Ameriflux sites were co-located with FCE-LTER sites. To understand the effects of sea level rise and freshwater management on landscape carbon exchange (C), we measured the net ecosystem exchange of CO2 (NEE) between subtropical wetland ecosystems and the atmosphere along a dynamic salinity gradient. Ecosystems were representative of freshwater marl prairies, brackish marsh ecotones, and saline scrub mangrove forests. In the southeastern Everglades, the magnitude of environmental change was greatest along the coast, where mangrove scrub forests exhibited a greater capacity to maintain CO2 uptake with changing conditions.
H2020 773782-COASTAL MAL03 Management set for the Norrström-Baltic region
<p>The sets of measures relate to different Business Road Map (BRM) alternatives prioritized by stakeholders in the Norrström-Baltic (MAL3) case:</p> <ul> <li><strong>Current management</strong>: Base case with no change in nutrient concentrations for nitrogen (N) and phosphorous (P) (same results as for the base case scenario in D19).</li> <li><strong>Agricultural set of measures</strong>: Considers the example of 25% reduction in nutrient concentrations leaching from currently active agriculture with associated reduction in agricultural nutrient contributions to subsurface water (SSW) and surface water (SW) nutrient concentrations. Such reductions may result, e.g., from improved/optimized agricultural fertilization practices and drainage facilities, and restoration/construction of wetlands that can capture local nutrient leakage. This set of measures relates to the stakeholder-prioritized BRM alternative “Integrated risk assessment of nutrient losses from agricultural soils to surface waters”.</li> <li><strong>WWTP set of measures</strong>: Considers the example of 25% reduction of nutrient concentrations in discharges from currently active municipal and industrial wastewater treatment plants (WWTPs) and unconnected wastewater facilities with associated reduction in their contributions to SW nutrient concentrations. Such reductions may result, e.g., from improved nutrient removal in WWTPs and recovery in smart water and sanitation systems, related to technological advancements and, more widely, e.g., creation of a nutrient market that makes such capture and reuse worthwhile. This set of measures relates to the stakeholder-prioritized BRM alternatives “Nutrient recovery in wastewater treatment plants” and “Smart water and sanitation systems”.</li> <li><strong>Legacy set of measures</strong>: Considers the example of 25% reduction in total SSW and SW nutrient concentrations. Such reductions may result from catchment-wide mitigation (removal/capture and possible reuse) of nutrients released from diffuse wide-spread legacy sources that still remain in soil, groundwater and sediments from different types of earlier nutrient inputs (past agricultural leakage, municipal and industrial wastewater discharges). Such mitigation may be achieved, e.g., by restoration/construction of wetlands and construction of reactive barriers that are well-placed and distributed to effectively capture considerable parts of the overall legacy nutrient releases throughout each hydrological catchment. This set of measures also relates to possible changes in socio-economic drivers, such as creation of a nutrient market that can make capture and reuse of nutrients worthwhile, along with improved knowledge transfer between sectors and some shift in the municipal water (quality) management monopoly that current applies in Sweden. With regard to the stakeholder-prioritized BRM alternatives, it relates to: (i) “Improved knowledge transfer between sectors” that may drive better system understanding with more efficient nutrient mitigation measures taken and well/optimally placed in each hydrological catchment for targeting and mitigating diffuse legacy sources; and (ii) “Change of municipal monopoly” that may enhance collaboration and communication between different municipalities within the same hydrological catchment toward more overarching efficiency and circular principles on whole catchment-scale.</li> </ul> <p>The .xslx data are organized as follows.</p> <p>One sheet per set of measure: </p> <ul> <li>Base case (current management)</li> <li>Agricultural set of measures</li> <li>Wastewater treatment plants set of measures</li> <li>Legacy set of measures</li> </ul> <p>For each sheet, the following data are included. </p> <p>Columns:</p> <ul> <li><strong>A: Variable name</strong></li> <li><strong>B: Input variables</strong> - full name and units of the variable</li> <li><strong>C: Initial</strong></li> <li><strong>D: current climate and socio-economy</strong></li> <li><strong>E: scenarios</strong>: RCP4.5+SSP1, RCP4.5+SSP2, RCP4.5+SSP4, RCP4.5+SSP5</li> </ul> <p>For each column, the values are organized with the following variables (rows 2-16): “Concentration of N in SSW”, “Concentration of N in SW”, "Concentration of N in WWTP-input", "Concentration of N in WWTP-output", “Concentration of P in SSW”, “Concentration of P in SW”, "Concentration of P in WWTP-input", "Concentration of P in WWTP-output", "Concentration of P-SW to agriculture", "Concentration of N-SW to agriculture", "Concentration of P-agriculture to SW", "Concentration of N-agriculture to SW", "Concentration of N-agriculture to SSW", "Concentration of P-agriculture to SSW"</p> <ul> </ul> <p> </p>
Seventy-year chronology of Salinas in southern France: coastal surfaces managed for salt production
<p>kml files constructed for "Seventy-year chronology of Salinas in southern France: coastal surfaces managed for salt production and conservation issues for abandoned sites"</p> <p>For the years 1975, 2000, 2006, 2012, and 2018, topographical maps and aerial photographs were obtained the IGN web portals (Géoportail; Géoportail, section “remonter le temps”). Literature data and knowledge of the localisation of pumping stations and functioning of exploited Salinas obtained from expert interviews were used to re-itemise the functional pre-concentration ponds not included in CLC-class 4.2.2, as belonging to the Salinas. Polygons were created manually for these items and constituted an added class 4.2.2.A to distinguish these added surfaces from those recognised by Corine land-cover as 4.2.1 or 5.2.1. Both classes were systematically merged into a single shapefile for each Salina and the polygons obtained were checked against topographic maps and aerial photographs to verify if these represented the real coverage of the Salina and corrected if needed. Hence , the ensembles of the exploited Salinas in these 6 years were named as “Salinas_Mediterranean_France_xxxx.kml”, with xxxx as the year).</p> <p> </p>
Fig. 7 in Fishermen's local ecological knowledge on Southeastern Brazilian coastal fishes: contributions to research, conservation, and management
Fig. 7. Ordination plot of the correspondence analysis (first two axes) based on fishermen's answers about fishing season of the nine studied fish species in the southeastern Brazilian coast: Absa = Abudefduf saxatilis; Boru = Bodianus rufus; Cala = Caranx latus; Epma = Epinephelus marginatus; Haau = Haemulon aurolineatum; Heba = Hemiramphus balao; Kysp = Kyphosus spp.; Mifu = Micropogonias furnieri; Sesp = Seriola spp.
Fig. 6 in Fishermen's local ecological knowledge on Southeastern Brazilian coastal fishes: contributions to research, conservation, and management
Fig. 6. Ordination plot of the correspondence analysis (first two axes) based on fishermen's answers about migratory routes of the nine studied fish species in the southeastern Brazilian coast: Absa = Abudefduf saxatilis; Boru = Bodianus rufus; Cala = Caranx latus; Epma = Epinephelus marginatus; Haau = Haemulon aurolineatum; Heba = Hemiramphus balao; Kysp = Kyphosus spp.; Mifu = Micropogonias furnieri; Sesp = Seriola spp.
Fig. 4 in Fishermen's local ecological knowledge on Southeastern Brazilian coastal fishes: contributions to research, conservation, and management
Fig. 4. Trophic chain based on those food items and predators most cited by fishermen in the southeastern Brazilian coast for a) reef fishes and b) pelagic fishes. Numbers are percent of interviewed fishermen who mentioned each feeding interaction. Fish sizes are not in scale. Those feeding interactions that agree with reported feeding habits of these fishes in the biological literature are marked *(Randall, 1967; Berkeley & Houde, 1978; Menezes & Figueiredo, 1980; Sazima, 1986; Pipitone & Andaloro, 1995; Barreiros & Santos, 1998; Vasconcellos & Gasalla, 2001; Silvano, 2001; Silvano & Güth, 2006; Figueiredo & Vieira, 2005; Gibran, 2007).
Fig. 3 in Fishermen's local ecological knowledge on Southeastern Brazilian coastal fishes: contributions to research, conservation, and management
Fig. 3. Main habitats of fishes according to fishermen in the southeastern Brazilian coast: percentages of fishermen who mentioned each habitat category are in Appendix 1. Double-headed arrows indicate that fishes occur in both habitats in horizontal space (e.g. open ocean and reefs), up and down arrows indicate that fishes occur in both habitats in vertical space (e.g., near the bottom and at the surface). Fish sizes are not in scale.
Fig. 1 in Fishermen's local ecological knowledge on Southeastern Brazilian coastal fishes: contributions to research, conservation, and management
Fig. 1. Ordination plot of the correspondence analysis (first two axes) based on fishermen answers about uses of the nine studied fish species in the southeastern Brazilian coast: Absa = Abudefduf saxatilis; Boru = Bodianus rufus; Cala = Caranx latus; Epma = Epinephelus marginatus; Haau = Haemulon aurolineatum; Heba = Hemiramphus balao; Kysp = Kyphosus spp.; Mifu = Micropogonias furnieri; Sesp = Seriola spp.
Fig. 2 in Fishermen's local ecological knowledge on Southeastern Brazilian coastal fishes: contributions to research, conservation, and management
Fig. 2. Ordination plots of the correspondence analysis (first two axes) based on fishermen answers about fishing methods and baits of the nine studied fish species in the southeastern Brazilian coast: Absa = Abudefduf saxatilis; Boru = Bodianus rufus; Cala = Caranx latus; Epma = Epinephelus marginatus; Haau = Haemulon aurolineatum; Heba = Hemiramphus balao; Kysp = Kyphosus spp.; Mifu = Micropogonias furnieri; Sesp = Seriola spp.
Fig. 8 in Fishermen's local ecological knowledge on Southeastern Brazilian coastal fishes: contributions to research, conservation, and management
Fig. 8. Ordination plot of the correspondence analysis (first two axes) based on fishermen's answers about reproductive (spawning) season of the nine studied fish species in the southeastern Brazilian coast: Absa = Abudefduf saxatilis; Boru = Bodianus rufus; Cala = Caranx latus; Epma = Epinephelus marginatus; Haau = Haemulon aurolineatum; Heba = Hemiramphus balao; Kysp = Kyphosus spp.; Mifu = Micropogonias furnieri; Sesp = Seriola spp.
Fig. 5 in Fishermen's local ecological knowledge on Southeastern Brazilian coastal fishes: contributions to research, conservation, and management
Fig. 5. Ordination plot of the correspondence analysis (first two axes) based on fishermen's answers about migratory behavior of the nine studied fish species in the southeastern Brazilian coast: Absa = Abudefduf saxatilis; Boru = Bodianus rufus; Cala = Caranx latus; Epma = Epinephelus marginatus; Haau = Haemulon aurolineatum; Heba = Hemiramphus balao; Kysp = Kyphosus spp.; Mifu = Micropogonias furnieri; Sesp = Seriola spp.
Fig. 1 in Land management and biodiversity maintenance: a case study in grasslands in the Coastal Plain of Rio Grande do Sul
Fig. 1. Principal Coordinates Analysis of four grassland with different historical use, described for 21 variables and 80 SU. ● = GSB, ○ = GRC, □ = GR1, ◊ = GR2, Aaff = Axonopus affinis, Ppum = Paspalum pumilum.
Code and data for: Modeling the interaction between salmon management and consumption by coastal brown bears
<p>Harvest management policy for species with strong trophic connections can reverberate through food webs and cause unintended consequences such as altering the abundance of a harvested species' predators or prey. Pacific salmon (<em>Oncorhynchus</em> spp.), a key food for many predators and an economically valuable harvested species, is generally managed for maximum sustained harvests without explicit consideration for the freshwater and terrestrial food webs which they support. The density of brown bear (<em>Ursus</em> <em>arctos</em>) populations in Alaska, USA is correlated with the amount of salmon they can access and consume, so it seems likely their populations are inadvertently affected by salmon management. We simulated the effect of salmon management policy on brown bears by customizing a general bear-salmon model using empirical data from three watersheds in southwest Kodiak, Alaska. Our goal was to quantify the effect of current salmon management policy (i.e., escapement goals and early/late run allocations) on salmon consumption by brown bears. Bears in the individually based model evaluated the value of each foraging site based on salmon abundance, salmon vulnerability, and competition with other bears and made movement decisions (among salmon spawning sites) accordingly. </p> <p>The two code files provided here contain the brown bear salmon simulation, the structure for setting and adjusting the parameters of the model, and two empirical datasets needed to run simulations.</p>
Code and data for: Modeling the interaction between salmon management and consumption by coastal brown bears
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Multiple-model stock assessment frameworks for precautionary management and conservation on fishery-targeted coastal dolphin populations off Japan
<p>1. Stock assessment approaches are often oversimplified due to lack of biological knowledge and insufficient data. In spite of worldwide attention, fishery-targeted coastal dolphin species in Japan have lacked in-depth quantitative stock assessments because of limited time-series of population size and an absence of associated biological information. We consequently developed integrated population models that analyzed multiple sources of data simultaneously with published biological information within a Bayesian framework.<br> 2. We estimate population status and trends for three main species targeted by fisheries, bottlenose dolphins <em>Tursiops truncatus</em>, Risso's dolphins <em>Grampus griseus</em>, and short-finned pilot whales <em>Globicephala macrorhynchus</em>, using single-species age-aggregated and age-structured population dynamics models. Models were fit to absolute abundance estimates from systematic line-transect surveys, four series of abundance indices calculated from fisher's logbooks, and historical catch records. Published biological information was used to develop prior distributions for the biological parameters. We assessed the possible effects of ecological disturbance and competition using state-space and multispecies models.<br> 3. The multispecies model was selected by the model selection both for the age-aggregated and the age-structured approaches.<br> 4. Single-species assessments found that population size declined 4.2% (Risso's dolphin) to 8.0% (bottlenose dolphin) for three species since the late 1800s based on median posterior values, while the state-space and multispecies models found that environmental disturbance and an interaction among species could have reduced population size more substantially.<br> 5. '<em>Policy implications</em>' Simple single-species models are often used to provide conservation and management advice for wild animals but, in this case, results from such models are overly optimistic because they overlook important ecological process. In contrast, current population status could be less favorable if environmental disturbance and interspecific competition actually control population dynamics. Even if that is not the case, considering ecological process in the model will provide more precautionary ways. Our approach of combining multiple modelling frameworks is applicable to many other management systems, and offers increased confidence in estimated status and trends over assessments that consider only a single model.</p>
Fijian sea krait behavior relates to fine‐scale environmental heterogeneity in old‐growth coastal forest: The importance of integrated land–sea management for protecting amphibious animals
<p><span>Here the data for "Fijian sea krait behaviour relates to fine-scale environmental heterogeneity in old growth forest: the importance of integrated land-sea management for protecting amphibious animals" by</span><span> Lowe, C., Keppel, G., Waqa, K., Peters, S., Fisher, R.N., Scanlon, A., Osborne-Naikatini, T, and Thomas-Moko, N </span><span> is provided. This article investigates the habitat of </span>Yellow Lipped Sea Kraits, <em>Laticauda</em> <em>colubrina</em>, in the terrestrial realm on Leluvia Island, a small, topographically flat atoll in Fiji with coastal forest. The investigation uses concurrent microclimate measurements and behaviour surveys, as well as vegetation surveys, and the data collected for these analyses are provided here. Microclimates were significantly related to canopy cover, leaf litter depth, and distance from the high-water mark (HWM). Sea kraits were almost exclusively observed in coastal forest within 30 m of the HWM. Sloughing of skins only occurred within crevices of mature or dying trees. Resting <em>L</em>. <em>colubrina</em> were significantly more likely to occur at locations with higher mean diurnal temperatures, lower leaf litter depths, and shorter distances from the HWM. On Leleuvia, behaviour of <em>L</em>. <em>colubrina</em> therefore relates to environmental heterogeneity created by old-growth coastal forests, particularly canopy cover and crevices in mature and dead tree trunks. The importance of healthy coastal habitats, both terrestrial and marine, for <em>L</em>. <em>colubrina</em> suggests it could be a good flagship species for advocating integrated land-sea management. Furthermore, our study highlights the importance of coastal forests and topographically flat atolls for biodiversity conservation. Effective conservation management of amphibious species that utilise land- and seascapes is therefore likely to require a holistic approach that incorporates connectivity among ecosystems and environmental heterogeneity at all relevant scales.</p>
Passive acoustic monitoring indicates Barred Owls are established in northern coastal California and management intervention is warranted
<p>Barred Owls (<em>Strix varia</em>) have recently expanded westward from eastern North America, contributing to substantial declines in Northern Spotted Owls (<em>Strix occidentalis caurina</em>). Passive acoustic monitoring (PAM) represents a potentially powerful approach for tracking range expansions like the Barred Owl's, but further methods development is needed to ensure that PAM-informed occupancy models meaningfully reflect population processes. Focusing on the leading edge of the Barred Owl range expansion in coastal California, we used a combination of PAM data, GPS-tagging, and active surveys to (1) estimate breeding home range size, (2) identify patterns of vocal activity that reflect resident occupancy, and (3) estimate resident occupancy rates. Mean breeding season home range size (452 ha) was reasonably consistent with the size of cells (400 ha) sampled with autonomous recording units (ARUs). Nevertheless, false-positive acoustic detections of Barred Owls frequently occurred within cells not containing an activity center such that site occupancy estimates derived using all detected vocalizations (0.61) were unlikely to be representative of resident occupancy. However, the proportion of survey nights with confirmed vocalizations (VN) and the number of ARUs within a sampling cell with confirmed vocalizations (VU) were indicative of Barred Owl residency. Moreover, the false positive error rate could be reduced for occupancy analyses by establishing thresholds of VN and VU to define detections, although doing so increased false negative error rates in some cases. Using different thresholds of VN and VU, we estimated resident occupancy to be 0.29–0.44, which indicates that Barred Owls have become established in the region but also that timely lethal removals could still help prevent the extirpation of Northern Spotted Owls. Our findings provide a scalable framework for monitoring Barred Owl populations throughout their expanded range and, more broadly, a basis for converting site occupancy to resident occupancy in PAM programs. </p>
Fijian sea krait behavior relates to fine‐scale environmental heterogeneity in old‐growth coastal forest: The importance of integrated land–sea management for protecting amphibious animals
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Understanding the fate of shrimp aquaculture effluent in a mangrove ecosystem: aiding management for coastal conservation
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Passive acoustic monitoring indicates Barred Owls are established in northern coastal California and management intervention is warranted
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.