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2,744 results for “restoration.”
Baltimore Ecosystem Study: Invertebrate and Restoration Habitat Data
An often-cited benefit of river restoration is an increase in biodiversity or shift in composition to more desirable taxa. Yet, hard manipulations of habitat structure often fail to elicit a significant response in terms of biodiversity patterns. In contrast to conventional wisdom, the dispersal of organisms may have as large an influence on biodiversity patterns as environmental conditions. This influence of dispersal may be particularly influential in river networks which are linear branching, or dendritic, and thus constrain most dispersal to the river corridor. As such, some locations in river networks, such as isolated headwaters, are expected to respond less to environmental factors and less by dispersal than more well-connected downstream reaches. We applied this metacommunity framework to study how restoration drives biodiversity patterns in river networks. By comparing assemblage structure in headwater versus more well-connected mainstem sites, we learned that headwater restoration efforts supported higher biodiversity, exhibited more stable ecological communities compared with adjacent, un-restored reaches. Such differences were not evident in mainstem reaches. Consistent with theory and mounting empirical evidence, we attribute this finding to a relatively higher influence of dispersal-driven factors on assemblage structure in more well-connected, higher order reaches. An implication of this work is that, if biodiversity is to be a goal of restoration activity, such local manipulations of habitat should elicit a more profound response in small, isolated streams than in larger downstream reaches. These results offer another significant finding supporting the notion that restoration activity cannot proceed in isolation of larger scale, catchment level degradation. This dataset represents the microhabitat sampling.
Institutional Dimensions of Restoring Everglades Water Quality - Social Capital Analysis (FCE), Florida Everglades Agricultural Area from September 2014 to July 2015
These data were compiled through the Institutional Dimensions of Restoring Everglades Water Quality research project. One of the manuscripts generated by this project focused on the social capital dynamics in the Everglades Agricultural Area. These data represent different social capital aspects reflected by the responses of interview subjects. The purpose of analyzing social capital was to explore why and how farmers cooperated given that the state law, the Everglades Forever Act, which required the adoption of best management practices, relied on shared compliance for farmers to improve water quality. The study sought to undrestand how different aspects of social capital (broadly pro-social norms of reciprocity and trust) either encouraged or discouraged farmers to adopt BMPs effectively.
PIE LTER measurements of the two tallest Phragmites australis stems per five meter interval along transects at the Argilla Rd. salt marsh restoration site (Ipswich, MA) and Rough Meadows reference marsh (Rowley, MA – Stackyard Road area).
The file contains measurements of the two tallest Phragmites australis stems per five meter interval along transects at the Argilla Rd. salt marsh restoration site (Ipswich, MA) and Rough Meadows reference marsh (Rowley, MA – Stackyard Road area). The culvert feeding Argilla Marsh was enlarged in late November 1998, thus data from 1999 onward is considered as representing a hydrologically restored marsh. A long term study not directly part of the PIE LTER, but a companion study related to tidal restrictions and hydrological alterations of salt marshes in the Plum Island ecosystem.
PIE LTER plant species percent cover in quadrats along vegetation transects at the Argilla Rd. salt marsh restoration site (Ipswich) and Rough Meadows reference marsh (Rowley – Stackyard Road area), Massachusetts.
Plant species percent cover in quadrats along vegetation transects at the Argilla Rd. salt marsh restoration site (Ipswich) and Rough Meadows reference marsh (Rowley – Stackyard Road area), Massachusetts. A long term study not directly part of the PIE LTER, but a companion study related to tidal restrictions and hydrological alterations of salt marshes in the Plum Island ecosystem.
PIE LTER geographic information regarding vegetation transects set up at the Argilla Rd. Salt marsh restoration site in Ipswich and a reference marsh (Rough Meadows) in Rowley, Massachusetts.
A description of the vegetation transects set up at the Argilla Rd. Salt marsh restoration site in Ipswich, MA and a reference marsh (Rough Meadows) in Rowley, MA.
PIE LTER plant species presence along vegetation transects at the Argilla Rd. salt marsh restoration site (Ipswich) and Rough Meadows reference marsh (Rowley – Stackyard Road area), Massachusetts.
Plant species presence along vegetation transects at the Argilla Rd. salt marsh restoration site (Ipswich) and Rough Meadows reference marsh (Rowley – Stackyard Road area). A long term study not directly part of the PIE LTER, but a companion study related to tidal restrictions and hydrological alterations of salt marshes in the Plum Island ecosystem..
Gunnison's Prairie Dog Restoration Experiment (GPDREx): Population Dynamics within Grasslands at the Sevilleta National Widlife Refuge, New Mexico
Prairie dogs (Cynomys spp.) are burrowing rodents considered to be ecosystem engineers and keystone species of the central grasslands of North America. Yet, prairie dog populations have declined by an estimated 98% throughout their historic range. This dramatic decline has resulted in the widespread loss of their important ecological role throughout this grassland system. The 92,060 ha Sevilleta NWR in central New Mexico includes more than 54,000 ha of native grassland. Gunnison’s prairie dogs (C. gunnisoni) were reported to occupy ~15,000 ha of what is now the SNWR during the 1960’s, prior to their systematic eradication. In 2010, we collaborated with local agencies and conservation organizations to restore the functional role of prairie dogs to the grassland system. Gunnison’s prairie dogs were reintroduced to a site that was occupied by prairie dogs 40 years ago. This work is part of a larger, long-term study where we are studying the ecological effects of prairie dogs as they re-colonize the grassland ecosystem.
Oxygen Flux in a Restored Seagrass Meadow on the Coast of Virginia, 2011-2012
Oxygen flux was measured seasonally using the eddy correlation technique in a restored eelgrass (Zostera marina L.) meadow in the Virginia coastal bays (USA). In 5 intensive field campaigns, we covered seasonal variation in oxygen metabolism and biomass with overlap in late summer to observe interannual variability.
Video S4 - Angling for Restored Native Cutthroat Trout
<p><strong>Video S4.</strong> Yellowstone cutthroat trout recovery results in large adults returning to tributaries of the upper Yellowstone River to spawn. Sustained gillnetting suppression of invasive lake trout is allowing for a recovery of native Yellowstone cutthroat trout. Although abundances remain below target levels, the relative weights (condition) of cutthroat trout have increased, large individuals (400+ mm) are more prevalent, and individual weights have more than doubled over the past four decades. Cutthroat trout from Yellowstone Lake make long-distance (> 40 km) spawning migrations upstream from Yellowstone National Park and into the remote headwaters of the upper Yellowstone River in the Bridger-Teton Wilderness, Wyoming, USA. Here, Liz Storer, Wyoming Storer Foundation and Jason Burckhardt, Wyoming Game and Fish Department are fly-fishing for the migratory cutthroat trout in Atlantic Creek during early July, 2019. The cutthroat trout transport lake-derived nutrients into these remote headwaters in U.S. Forest Service lands, highlighting the importance of large, unfragmented, highly protected watersheds such as those of Greater Yellowstone. Partnerships with the Storer Foundation, the Wyoming Game and Fish Department, and numerous others developed over the past 25 years were the driving force behind the initial recovery of cutthroat trout and restoration of this ecosystem.</p>
Data from: A new approach to map landscape variation in forest restoration success in tropical and temperate forest biomes
1. A high level of variation of biodiversity recovery within a landscape during forest restoration presents obstacles to ensure large scale, cost-effective, and long-lasting ecological restoration. There is an urgent need to predict landscape variation in forest restoration success at a global scale. 2. We conducted a meta-analysis comprising 135 study landscapes to predict and map landscape variation in forest restoration success in tropical and temperate forest biomes. Our analysis was based on the amount of forest cover within a landscape – a key driver of forest restoration success. We contrasted 17 generalized linear models measuring forest cover at different landscape sizes (with buffers varying from 5 to 200 km radii). We identified the most plausible model to predict and map landscape variation in forest restoration success. We then weighted landscape variation by the amount of potentially restorable areas (agriculture and pasture land areas) within the same landscape. Finally, we estimated restoration costs of implementing Bonn Challenge commitments in three specific temperate and tropical forest biome types in USA, Brazil and Uganda. 3. Landscape variation decreased exponentially as the amount of forest cover increased in the landscape, with stronger effects within a 5 km radius. Thirty-eight percent of forest biomes have landscapes with more than 27% of forest cover and showed levels of landscape variation below 10%. Landscapes with less than 6% of forest cover showed levels of variation in forest restoration success above 50%. 4. At the biome level, Tropical and Subtropical Moist Broadleaf Forests had the lowest (12.6%), while Tropical and Subtropical Dry Broadleaf Forests had the highest (22.9%) average of weighted landscape variation in forest restoration success. Our approach can lead to a reduction in implementation costs for each Bonn Challenge commitment between US$ 973 Mi and 9.9 Bi. 5. Policy implications. Our approach identifies landscape characteristics that increase the likelihood of biodiversity recovery during forest restoration – and potentially the chances of natural regeneration and long-term ecological sustainability and functionality. Identifying areas with low levels of landscape variation can help to reduce the risks and financial costs associated with implementing ambitious restoration commitments.
Values and attitudes associated with public support for biodiversity and ecosystem services as goals of ecological restoration
<p>Source data and metadata for "Public support for restoration: Does including ecosystem services as a goal engage a different set of values and attitudes than biodiversity protection alone?", accepted to PLOS One in December 2020. </p>
Dataset from Pardini, E. A., Parsons, L. S., Ştefan, V., & Knight, T. M. (2018). GLMM BACI environmental impact analysis shows coastal dune restoration reduces seed predation on an endangered plant. Restoration Ecology, 26(6), 1190-1194.
<p>Data and its metadata used in the analysis from the publication: Pardini, E. A., Parsons, L. S., Ştefan, V., & Knight, T. M. (2018). GLMM BACI environmental impact analysis shows coastal dune restoration reduces seed predation on an endangered plant. Restoration Ecology, 26(6), 1190-1194. <a href="https://onlinelibrary.wiley.com/doi/full/10.1111/rec.12678">https://onlinelibrary.wiley.com/doi/full/10.1111/rec.12678</a> </p>
Data from: Optimizing Coastal Restoration with the Stress Gradient Hypothesis
Restoration efforts have been escalating worldwide in response to widespread habitat degradation. However, coastal restoration attempts notoriously vary in their ability to establish resilient, high-functioning ecosystems. Conventional restoration attempts disperse transplants in competition-minimizing arrays, yet recent studies suggest that clumping transplants to maximize facilitative, intraspecific interactions improves restoration success. Here, we modify the Stress Gradient Hypothesis to generate predictions about where each restoration design will perform best across environmental stress gradients. We then test the model by combining measurements of physical stress with a field experiment manipulating transplant density and configuration across coastal dune elevational zones and latitudes. In hurricane-damaged Georgia (USA) dunes, grass transplanted in competition-minimizing (low-density, dispersed) arrays exhibited the highest growth, resilience to disturbance, and dune formation in low stress conditions. In contrast, facilitation-maximizing (high-density, clumped) arrays exhibited the highest survivorship in high stress conditions. Transplant survival was significantly lower on Massachusetts compared to Georgia dunes, suggesting there are thresholds above which intraspecific facilitation cannot overcome local stressors. Thus, switching from competition-minimizing to facilitation-maximizing transplant designs with increasing environmental stress can improve multiple metrics of restoration success, suggesting our modified Stress Gradient Hypothesis offers a roadmap for how to rebuild resilient, high-functioning coastal ecosystems.
Model output and figure code for "Tradeoffs Between Vertical and Lateral Resilience in a Salt Marsh Restoration Model"
<p>Simulation output data from COLT_Restorations model stored on the Community Surface Dynamics Modeling System public model repository at <a href="https://csdms.colorado.edu/wiki/Model:COLT_Restorations">https://csdms.colorado.edu/wiki/Model:COLT_Restorations</a> and on a GitHub public repository at<a href="https://github.com/mbbarksdale/CoLT_Restorations"> https://github.com/mbbarksdale/CoLT_Restorations</a>.</p> <p>These data were processed and graphed with model code that can also be found in a GitHub public repository at <a href="https://github.com/mbbarksdale/COLTRestorationsPaper_dataANDfigures">https://github.com/mbbarksdale/COLTRestorationsPaper_dataANDfigures</a>. </p>
Yield increases mediated by pollination and carbon payments can offset restoration costs in coffee landscapes
<p>This dataset and code can be used to reproduce results from the article with the same title</p> <p>The scripts to generate the farm-level scenarios and the regional-level scenarios are as following:</p> <ul> <li><strong>farm-level</strong> = <em>optimization_scenarios.R</em></li> <li><strong>regional-level</strong> = <em>optimization_scenarios_rl.R</em></li> </ul> <p>The <strong>properties boundaries</strong> and <strong>APP limits</strong> for the municipalities considered in this study can be obtained from the adress:</p> <ul> <li><a href="https://www.car.gov.br/publico/imoveis/index">https://www.car.gov.br/publico/imoveis/index</a>.</li> </ul> <p>The <strong>list of municipalities</strong> is located at the file "list_mun.csv" within the tables folder.</p> <p>The raster with <strong>land-use and land-cover classes</strong> is classified as follows:</p> <ul> <li>class 0: all other uses;</li> <li>class 1: natural vegetation;</li> <li>class 2: coffee;</li> </ul> <p>The <strong>estimated yield per property</strong> is at the yield_estimation.csv file. Each property (n=507) is identified with an unique ID. The dataframe contains:</p> <ul> <li>the predicted yield in coffee bags/ha (<em>predictec_coffee_bags</em>);</li> <li>yield in USD/ha (<em>yield_USD_future</em>); the difference in yield bewteen the future scenarios and the baseline scenario (<em>diff_USD</em>);</li> <li>the net present value of the difference between the future scenarios and the baseline (<em>npv_yield_USD_future</em>)</li> </ul> <p>The script "merging_scen_land_use.R" was used to combine the restoration scenarios generated by the optimization model with the baseline land-use and land-cover;</p> <p> </p> <p> </p>
Dataset on light measuments in the understory of a Tropical forest restoration submitted to four thinning intensities through chemical management
<p>The lack of information on the management of light in tropical forests causes a technical constraint for timber production in restoration sites, especially given the light restrictions for timber production. This issue could be amended with the development of methods to easily manage and estimate light availability, targeting practices that balance restoration success and productivity. We conducted the study that gathered this data in an area within the Atlantic Forest, Brazil, where we tested the efficiency of chemical thinning fast-growing species to increase light availability in the understory of a five-year-old restoration planting. Our goal was to increase the growth rates of desirable timber species in the understory of the restoration site. <br>Moreover, we tested the viability of using hemispherical photography taken with a smartphone to assess light incidence and assist restoration management practices. We calculated the percentage of photosynthetically active radiation (PAR) using a ceptometer in four different thinning intensities and compared them to the smartphone measures using correlation analysis and generalized mixed models. Chemical thinning increased light incidence in the understory Light management through PAR and canopy opening were highly correlated overall, especially after three months of management and above 60% of the basal area thinned. Data demonstrates the potential of chemical thinning as a management practice to enhance light availability in the understory of tropical forest restoration sites and highlights the value of using smartphones and fisheye clips for the indirect assessment of light conditions. </p>
Forest restoration and fuels reduction work: Different pathways for achieving success in the Sierra Nevada
Fire suppression and past selective logging of large trees have fundamentally changed frequent-fire adapted forests in California. The culmination of these changes produced forests that are vulnerable to catastrophic change by wildfire, drought, and bark beetles, with climate change exacerbating this vulnerability. Management options available to address this problem include mechanical treatments (Mech), prescribed fire (Fire), or combinations of these treatments (Mech + Fire). We quantify changes in forest structure and composition, fuel accumulation, modeled fire behavior, inter-tree competition, and economics from a 20-year forest restoration study in the northern Sierra Nevada. All three active treatments (Fire, Mech, Mech + Fire) produced forest conditions that were much more resistant to wildfire than the untreated control. The treatments that included prescribed fire (Fire, Mech + Fire) produced the lowest surface and duff fuel loads and the lowest modeled fire hazards. Mech produced low fire hazards beginning 7-years after the initial treatment and Mech + Fire had lower tree growth than controls. The only treatment that produced inter-tree competition similar to historical California mixed-conifer forests was Mech + Fire, indicating that stands under this treatment would likely be more resilient to enhanced forest stressors. While Fire reduced modeled fire hazard and reintroduced a fundamental ecosystem process, it was done at a net cost to the landowner. Using Mech that included mastication and commercial thinning resulted in positive revenues and was also relatively strong as an investment in reducing modeled fire hazard. The Mech + Fire treatment represents a compromise between the desire to sustain financial feasibility and the desire to reintroduce fire. One key component to long-term forest conservation will be continued treatments to maintain or improve the conditions from forest restoration. Many Indigenous people speak of 'active stewardship' as one of the key principles in land management and this aligns well with the need for increased restoration in western US forests. If we do not use the knowledge from 20+ years of forest research and the much longer tradition of Indigenous cultural practices and knowledge, frequent-fire forests will continue to be degraded and lost.
Dataset related to the manuscript entitled "Inhalation with Vitamin D3 Metabolites - A Novel Strategy to Restore Vitamin D3 Deficiencies in Lung Tissue"
<p><strong>The dataset contains the results presented in the manuscript entitled "Inhalation with Vitamin D3 Metabolites - A Novel Strategy to Restore Vitamin D3 Deficiencies in Lung Tissue" Appl. Sci. 2023, 13, 10672. </strong></p><p> </p><p>The presented dataset contains the results of the implementation of the following research project: </p><p><i>Project title</i><strong>:</strong> "Assessment of the possibility of using vitamin D3 in the prevention and treatment of pulmonary fibrosis in the course of hypersensitivity pneumonitis - <i>in vivo</i> studies"</p><p><i>Founder</i><strong>: </strong>National Scientific Center, Poland</p><p><i>Project number</i><strong>:</strong> UMO-2020/38/E/NZ7/00366</p><p><i>Principal Investigator</i>: Marta Kinga Lemieszek</p><p><i>Main investigators:</i><strong> </strong>Michał Chojnacki, Jakub Anisiewicz, Ilona Leśniowska</p><p><i>Place of project implementation</i><strong>:</strong> Department of Medical Biology, Institute of Rural Health, Jaczewskiego 2, 20-090 Lublin, Poland</p>
Model to: Participatory modelling of scenarios to restore nitrogen cycles in a nutrient-saturated area
<p>Based on this model we wrote the manuscript: "Participatory modelling of scenarios to restore nitrogen cycles in a nutrient-saturated area"</p><p><strong>Abstract</strong></p><p>This paper aims to find socially acceptable solutions of circularity as measure to reduce nitrogen (N) losses and prevent environmental damage by combining participatory modelling and scenario Substance Flow Analyses (SFA). A local perspective was taken on the agro-food-waste system in the animal production-dominated German district Cleves. Three scenarios were programmed as Monte Carlo simulation of SFA with stakeholder input regarding crop allocation, livestock composition, livestock reduction, and manure allocation following the elimination of feed imports. One scenario with the unaltered stakeholder input (PS), one with altered crop allocation to satisfy the demand for feed (CBS), and one with the livestock numbers changed to match the locally available feed (LBS). In the reference year (2020) agricultural losses amounted to 0.07 t N year-1 ha -1 agricultural land and 0.12 t N in feed was imported year-1 ha -1 agricultural land. In the PS feed import elimination led to deficits in feed availability. The LBS showed the biggest reduction of agricultural N losses and improved N use efficiency (+6%), however agricultural losses were still high (0.05 t N year-1 ha -1 agricultural land). The results show a limited effect of feed import elimination on N losses if no further measures are taken, such as increased sufficiency of consumers, e.g. less animal-based products. Further, the study shows, that it is important to improve stakeholders´ knowledge about approaches to circular agro-food-waste systems. The discrepancy between stakeholder visions and N circularity provide policy makers with the recommendation to improve stakeholders´ visions of a circular agro-food-waste system.</p><p> </p>
Peatland restoration in Norway – evaluation of ongoing monitoring and identification of plant indicators of restoration success
<p>Norway launched a national action plan on wetland restoration in 2016. So far, 90% of the restoration effort has been on peatland restoration, with about 140 mires restored so far. There are three main restoration goals stated in the action plan: 1) Limit greenhouse gas (GHG) emissions, 2) climate adaptation, and 3) improve ecological condition. Quantifying the outcome of the restoration actions is necessary to evaluate whether the goals of the action plan are met. A vegetation monitoring protocol was suggested before restoration started and has been implemented at five restoration sites. As the peatland restoration effort in Norway is increasing, it is timely to evaluate if the data currently collected can measure peatland restoration outcomes. We evaluate the monitoring protocol based on statistical analyses of the data collected at two sites, describe how indicator species can be identified using generalized composition data used as the basis for classifying habitats in Norway (EcoSyst framework), and suggest the way forward for peatland restoration monitoring in Norway. Data collected according to the monitoring protocol can document changes in species composition at restoration sites but has limitations when the ecological complexity at the sites increases and reference sites are unavailable. We argue that adjusting the monitoring protocol will: 1) Facilitate alignment with existing peatland research; 2) connect better with monitoring programs where data is collected applying EcoSyst framework principles; and 3) enable upscaling to cover the wide variation emerging in peatland restoration.</p>
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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.