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25 results for “freshwater 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.
2004 Estuarine Fish Sampling - Managing freshwater inflow to estuaries in northeast Puerto Rico
Historical data are often one of the only resources for documenting and assessing causes of environmental change, particularly in developing regions where funding for ecological studies is limited. In this study, previously unpublished data from a 1977 year-long study of the fish community of the Espiritu Santo estuary are presented. This dataset is among the oldest and most extensive surveys of a Caribbean island estuarine fish community. A comparison of these historical data with data collected in June and July 2004 using identical sampling methods allowed description of potential long-term changes in the fish community, identification of vulnerable species, and assessment of potential drivers of change. Results strongly suggest a decline in species richness and abundance in the Espiritu Santo estuarine fish community, with greater declines in freshwater-tolerant than marine or euryhaline species. Declines in freshwater inflow to the estuary, due to large-scale upstream water abstractions for municipal use, have increased since the initial 1977 survey. This is the first study to examine long-term change in the fish community of a tropical island estuary. Additional research and conservation efforts are needed to understand mechanisms of change and to protect Caribbean island estuarine fish communities. Chapter 2 (isotope and gut content data): The contribution of riverine-derived organisms and organic matter to four fishes along the salinity gradient in two Puerto Rican estuaries, the Espiritu Santo and Mameyes, was examined via stable isotope and gut content analyses. Stable isotope analyses indicated that riverine organic matter potentially contributed as much as 69% of the diet of one (caitipa mojarra, Diapterus rhombeus) of four fishes sampled. In contrast, riverine organic matter was of little direct importance to the three other fishes, tarpon snook (Centropomus pectinatus), ground croaker (Bairdiella ronchus), and white mullet (Mugil curema) contributing le
Figure 2 in The Importance Of Natura 2000 Sites And Their Management For The Conservation Of Freshwater Fish, Lamprey And Crayfish In Latvia
Figure 2. Occurrence of threatened freshwater fish, lamprey and crayfish species (n=15) in N2000 and outside N2000 at GC5, grouped by 0–10 %; 10–25 %; 25–50 %;>50 % with species numbers 0–1; 2–3; 4–7; 8–12.
Figure 1 in The Importance Of Natura 2000 Sites And Their Management For The Conservation Of Freshwater Fish, Lamprey And Crayfish In Latvia
Figure 1. Occurrence of freshwater fish, lamprey and crayfish species (n=46) within Natura 2000 outside N2000 at GC5, grouped by 0–10 %; 10–25 %; 25–50 %;>50 % with species numbers 0–4; 5–11; 12–23; 24–40.
Figure 3 in The Importance Of Natura 2000 Sites And Their Management For The Conservation Of Freshwater Fish, Lamprey And Crayfish In Latvia
Figure 3. Occurrence of migratory freshwater fish and lamprey species (n=5) in N2000 and outside N2000 at GC5 cells, grouped by 0–10 %; 10–25 %; 25–50 %;>50 % with species numbers 0; 1; 2; 3–5.
Figure 4 in The Importance Of Natura 2000 Sites And Their Management For The Conservation Of Freshwater Fish, Lamprey And Crayfish In Latvia
Figure 4. Occurrence of introduced freshwater fish, lamprey and crayfish species (n=6) in N2000 and outside N2000 at GC5 cells, grouped by 0–10 %; 10–25 %; 25–50 %;>50 % with species numbers 0; 1; 2–3; 4.
Data from: Growth and longevity of the endangered freshwater pearl mussel (Margaritifera margaritifera): Implications for conservation and management
<p>Key life-history data, such as growth and age, are necessary to effectively manage and conserve threatened freshwater mussel species. Traditionally growth and age studies require large yet destructive sample sizes covering all age classes. Such methods pose a risk to populations of conservation concern, and therefore alternative methods that need only limited sample sizes are necessitated to prevent further threats to such populations. We applied retrospective shell growth at age reconstructions to 98 critically endangered freshwater pearl mussel (FPM) individuals from 34 populations across Finland and Sweden, enabling the use of extremely small sample sizes (n = 1–6 per population). We compared the performance of six different growth models with the reconstructed size-at-age data across FPM juvenile (<20 years old) and adult life stages. The growth reconstruction model showed reasonable skill in reconstructing FPM growth patterns. The von Bertalanffy model was shown to be a good general descriptor of growth for FPM, but it systematically underestimated the asymptotic size. The power law model was the most accurate in estimating juvenile growth (lowest deviances from the size-at-age data). FPM showed great variability in longevity (A<sub>max</sub> = 54–254 years) and growth constant k (0.018– 0.057 year<sup>-1</sup>). Our results show that reasonable estimates of growth can be attained even when sample sizes are extremely limited. The results can be further applied to gain knowledge on the population's age structure, size at maturation, and recovery potential. The methodology is applicable to other freshwater mussel species of conservation concern.</p>
Figure 1 in Current knowledge of New Caledonian marine and freshwater ichthyofauna, SW Pacific Ocean: diversity, exploitation, threats and management actions
Figure 1. – Location of New Caledonia in the southwest Pacific. Dotted lines: limits of the New Caledonian EEZ, triangles: main seamounts, blue zones: UNESCO world heritage areas, and red hatched zones: fully protected marine areas. Modified from New Caledonian Government, Global seamounts database, The Pew charitable trust.
Linked collectors and determiners for: Pollinating insects of restored, managed freshwater marshes in central New York, USA..
Natural history specimen data linked to collectors and determiners held within, "Pollinating insects of restored, managed freshwater marshes in central New York, USA.". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/2319d633-3078-45ae-99e0-b58777b12f86">https://bionomia.net/dataset/2319d633-3078-45ae-99e0-b58777b12f86</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/2319d633-3078-45ae-99e0-b58777b12f86">https://gbif.org/dataset/2319d633-3078-45ae-99e0-b58777b12f86</a>. Formatted as a Frictionless Data package.
Master database for publication "Stakeholder engagement and knowledge co-production for better watershed management with the Freshwater Health Index"
<p> </p> <p>The spreadsheet is the master database used for the research with the title of "Stakeholder engagement and knowledge co-production for better watershed management with the Freshwater Health Index" to be published on <em>Current Research in Environmental Sustainability</em> in late 2022.</p> <p>The data include narratives for six principles on stakeholder engagement and knowledge co-production. These principles were derived by combining Talley et al’s five principles for effective stakeholder engagement (Talley et al. 2016) with Norström et al’s four principles for knowledge co-production (Norström et al. 2020). The six principles were aligned with the components of the freshwater health index (FHI) framework. Project leaders from nine FHI case studies completed a text table based on the description of the six principles and their FHI factors. This process generated the present master qualitative database with narrative responses. </p> <p>The socio-ecological context for each case study is provided for contextualization.</p>
Data from: A shift to metapopulation genetic management for persistence of a species threatened by fragmentation: the case of an endangered Australian freshwater fish
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Data from: Growth and longevity of the endangered freshwater pearl mussel (Margaritifera margaritifera): Implications for conservation and management
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Quantification of thermal impacts across freshwater life stages to improve temperature management for anadromous salmonids
<p>Water temperature is the major controlling factor that shapes the physiology, behavior, and ultimately, survival of aquatic ectotherms. Here we examine temperature effects on the survival of Chinook salmon (<em>Oncorhynchus tshawytscha</em>), a species of high economic and conservation importance. We implement a framework to assess how incremental changes in temperature impact survival across populations that is based on thermal performance models for three freshwater life stages of Chinook salmon. These temperature-dependent models were combined with local spatial distribution and phenology data to translate spatial-temporal stream temperature data into maps of life stage-specific physiological performance in space and time. Specifically, we converted temperature-dependent performance (i.e., energy used by pre-spawned adults, mortality of incubating embryos, and juvenile growth rate) into a common currency that measures survival in order to compare thermal effects across life stages. Based on temperature data from two abnormally warm and dry years for three managed rivers in the Central Valley, California, temperature-dependent mortality during pre-spawning holding was higher than embryonic mortality or juvenile mortality prior to smolting. However, we found that local phenology and spatial distribution helped to mitigate negative thermal impacts. In a theoretical application, we showed that high temperatures may inhibit successful reintroduction of threatened Central Valley spring-run Chinook salmon to two rivers where they have been extirpated. To increase Chinook salmon population sizes, especially for the threatened and declining spring-run, our results indicate that adults may need more cold-water holding habitat than currently available in order to reduce pre-spawning mortality stemming from high temperatures. To conclude, our framework is an effective way to calculate thermal impacts on multiple salmonid populations and life stages within a river over time, providing local managers the information to minimize negative thermal impacts on salmonid populations, particularly important during years when cold-water resources are scarce.</p>
Data for: Size spectrum model reveals importance of considering species interactions in a freshwater fisheries management context
<p>Inland fisheries have significant cultural and economic value around the globe, providing dietary protein, income, and recreation. Consequently, methods for monitoring and managing these important fisheries are continually being refined. In marine systems, multi-species size spectrum models have been increasingly used to explore management scenarios of important fish stocks within an ecosystem-based fisheries management framework; however, these models have not been applied in freshwater systems. In this study, we developed a multi-species size spectrum model for the fish community of Lake Nipissing, a large, productive lake in Ontario, Canada. To the best of our knowledge, this is the first fully calibrated multi-species size spectrum model for an inland fishery. Using this model, we explored the impacts of different management scenarios on fish community dynamics while taking species interactions into account. Specifically, we examined how changes in fishing mortality affect: (1) species biomass; (2) community size structure; and (3) stock recovery times. We found that community dynamics following changes in fishing mortality were driven by complex interactions among species, including competition and predation. The greatest changes in biomass and community size structure were observed following changes in fishing mortality to top predators, with community size structure most strongly influenced by changes in mortality to the largest species in the community. Counter to predictions based on generation time, the smallest species in our model exhibited the longest time to recovery due to strong competition and predation. Our results demonstrate the importance of taking an ecosystem-based approach and considering species interactions in the management of inland fisheries and highlight the potential of size spectrum model use in freshwater systems.</p>
Community reorganization stabilizes freshwater ecosystems in intensively managed agricultural fields
<ol> <li>Sustainable intensification may depend on associating precision farming with the harnessing of ecological principles in crop fields and with integrating farms and non-farmed land in productive landscapes. Small wetlands could play an important role in both pursuits for having high per-unit-area rates of element cycling and species richness while deeply penetrating crop fields. However, their potential for ecosystem service provisioning is unlikely to be met if land management intensification promotes ecosystem destabilization in biomass production. </li> <li>We tested the consequences of land use intensification on various dimensions of freshwater ecosystem stability by means of a large-scale field experiment converting extensive pastures to intensive pastures and sugarcane plantations in Southeastern Brazil. Nested within experimental plots were 4,000-L mesocosms simulating ponds and puddles commonly found in productive landscapes. Mesocosms were monitored for basic physico-chemical parameters, nutrients, pesticides, phytoplankton standing crop, and the spontaneously colonizing biodiversity.</li> <li>3. Despite severe environmental change, the stability of sugarcane communities was no different from that of extensive and intensive pastures. This occurred because the local extinction of a sensitive top dragonfly predator following the application of vinasse and insecticide was compensated by colonization of a suite of more tolerant invertebrate mesopredators such as beetles and bugs. Community stability tended to increase with biomass asynchrony and species richness, evidencing a portfolio effect of biodiversity. Unfortunately, the species richness necessary to stabilize biomass production is unlikely to be available in many sugarcane fields and several other row crops.</li> <li> <em>Synthesis and applications.</em> Ponds and puddles could be effective centers of irradiation of ecosystem service provisioning in agricultural fields in terms of pest control; nutrient accumulation, cycling, and export back to fields; and habitat and stepping stones for freshwater biodiversity. However, the impoverished biodiversity that results from a combination of harsh local conditions and spatial isolation renders pond communities inherently unstable. Given the unlikely, immediate reduction in agrochemical use in much of the intensively managed crop area, a combination of large, protected source wetlands at the margin of fields and small constructed or naturally forming ponds and puddles in plantations could contribute to sustainable intensification.</li> </ol>
Is my model fit for purpose? Validating a population model for predicting freshwater fish responses to flow management
<p>Models based on ecological processes ("process-explicit models") are often used to predict ecosystem responses to environmental changes or management scenarios. However, models are imperfect and need to be validated, ideally by testing their assumptions and outputs against independent empirical data sets. Examples of validation of process-explicit models are rare. Recently, stochastic population models have been developed to predict the likely responses (over 10-120 years) of a riverine fish (golden perch, Macquaria ambigua) to flow management in the Murray-Darling Basin (MDB) in eastern Australia, one of the world's most regulated river basins. Declines of golden perch (and other species) are a direct consequence of altered hydrology, and managers require information to predict how fish will respond to possible future hydrological conditions to guide the substantial investments in flow management. Here, we use two independent field data sets to validate our population model. We compared model predictions to observed trends to ask: (1) how do predicted population sizes and growth rates compare to observed data? (2) does the correlation between predicted and observed population sizes and growth rates vary among populations? (3) does the correlation between predicted and observed population sizes and growth rates vary across observed hydrological conditions? and (4) how do modelled and observed fish movement rates compare? We found reasonable correlations between fish population sizes and growth rates as predicted by the model and observed in independent data sets for several populations (Aim 1) but the strength of these correlations varied among populations (Aim 2) and hydrological conditions (Aim 3). Predicted and observed fish movement rates were strongly correlated (Aim 4). Population models are frequently used in conservation decision-making but are rarely validated. We demonstrate that: (1) validation can identify model strengths and weaknesses; (2) observed data sets often have inherent limitations that can preclude robust validations; (3) validation is likely be more common if appropriate observed data sets are available; and (4) validation should consider the purpose of modelling. Wider consideration of these messages would contribute to more critical examinations of models so they can be most appropriately used in conservation decision-making.</p>
Data from: Environmental DNA metabarcoding elucidates freshwater mussel diversity and occupancy to facilitate improved management and conservation
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Is my model fit for purpose? Validating a population model for predicting freshwater fish responses to flow management
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Community reorganization stabilizes freshwater ecosystems in intensively managed agricultural fields
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Quantification of thermal impacts across freshwater life stages to improve temperature management for anadromous salmonids
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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.