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2,744 results for “restoration.”
Data from: Scale-dependent effects of forest restoration on Neotropical fruit bats
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Data from: Tropical forest restoration enriches vascular epiphyte recovery
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Data from: Leaf litter arthropod responses to tropical forest restoration
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Proximity and abundance of mother trees affects recruitment patterns in a long-term tropical forest restoration study
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Data from: Reduced aboveground tree growth associated with higher arbuscular mycorrhizal fungal diversity in tropical forest restoration
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Data from: Litterfall and nutrient dynamics shift in tropical forest restoration sites after a decade of recovery
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Assessing the use of bison for savanna restoration at Cedar Creek Ecosystem Science Reserve: Aboveground Biomass
Oak savanna is the most threatened ecosystem in Minnesota and fire, alone, is not restoring and preserving it. Our savanna restoration research started more than a half century ago in what had once been native savanna at Cedar Creek. It has shown that burning about 4 to 7 times per decade eliminates shrubs and non-savanna tree species and restores prairie grassland species. However, our 50 years of research is also showing that these frequent and intense fires are preventing oaks from regenerating. Bison are now known to be a keystone species for restoring and preserving grasslands, but their roles in savanna ecosystems remain unknown. In grasslands, bison preferentially graze the dominant warm season grasses that would otherwise outcompete wildflowers, thereby promoting plant coexistence and enhancing plant diversity. Here we propose to test whether bison grazing might promote the growth and survivorship of oak seedlings in burned savannas by reducing grass fuel for fires and by knocking back dominant grass competitors. We will maintain the existing fire frequencies and the design of the long-term burning experiment, while adding bison grazing as an additional factor in part of several burn units on the southeast side of the property. Bison will graze during the summer and early fall seasons. Grazing exclosures will be established, and oak seedlings will be planted, to test effects of bison grazing on early oak growth and survivorship. The outcomes we plan to achieve are to: (1) discover better restoration and preservation practices for savanna ecosystems; (2) determine how these practices impact savanna biodiversity; and (3) educate Minnesotans about the ecological heritage of their state, including the roles that bison, fire and biodiversity play in the functioning of savannas and other Minnesota ecosystems. We will achieve these goals and outcomes by: (1) restoring bison grazing to 200 acres of oak savanna; (2) experimentally testing whether bison grazing promot
Assessing the use of bison for savanna restoration at Cedar Creek Ecosystem Science Reserve: Species Percent Cover
Oak savanna is the most threatened ecosystem in Minnesota and fire, alone, is not restoring and preserving it. Our savanna restoration research started more than a half century ago in what had once been native savanna at Cedar Creek. It has shown that burning about 4 to 7 times per decade eliminates shrubs and non-savanna tree species and restores prairie grassland species. However, our 50 years of research is also showing that these frequent and intense fires are preventing oaks from regenerating. Bison are now known to be a keystone species for restoring and preserving grasslands, but their roles in savanna ecosystems remain unknown. In grasslands, bison preferentially graze the dominant warm season grasses that would otherwise outcompete wildflowers, thereby promoting plant coexistence and enhancing plant diversity. Here we propose to test whether bison grazing might promote the growth and survivorship of oak seedlings in burned savannas by reducing grass fuel for fires and by knocking back dominant grass competitors. We will maintain the existing fire frequencies and the design of the long-term burning experiment, while adding bison grazing as an additional factor in part of several burn units on the southeast side of the property. Bison will graze during the summer and early fall seasons. Grazing exclosures will be established, and oak seedlings will be planted, to test effects of bison grazing on early oak growth and survivorship. The outcomes we plan to achieve are to: (1) discover better restoration and preservation practices for savanna ecosystems; (2) determine how these practices impact savanna biodiversity; and (3) educate Minnesotans about the ecological heritage of their state, including the roles that bison, fire and biodiversity play in the functioning of savannas and other Minnesota ecosystems. We will achieve these goals and outcomes by: (1) restoring bison grazing to 200 acres of oak savanna; (2) experimentally testing whether bison grazing promot
Assessing the use of bison for savanna restoration at Cedar Creek Ecosystem Science Reserve: Consumption
Oak savanna is the most threatened ecosystem in Minnesota and fire, alone, is not restoring and preserving it. Our savanna restoration research started more than a half century ago in what had once been native savanna at Cedar Creek. It has shown that burning about 4 to 7 times per decade eliminates shrubs and non-savanna tree species and restores prairie grassland species. However, our 50 years of research is also showing that these frequent and intense fires are preventing oaks from regenerating. Bison are now known to be a keystone species for restoring and preserving grasslands, but their roles in savanna ecosystems remain unknown. In grasslands, bison preferentially graze the dominant warm season grasses that would otherwise outcompete wildflowers, thereby promoting plant coexistence and enhancing plant diversity. Here we propose to test whether bison grazing might promote the growth and survivorship of oak seedlings in burned savannas by reducing grass fuel for fires and by knocking back dominant grass competitors. We will maintain the existing fire frequencies and the design of the long-term burning experiment, while adding bison grazing as an additional factor in part of several burn units on the southeast side of the property. Bison will graze during the summer and early fall seasons. Grazing exclosures will be established, and oak seedlings will be planted, to test effects of bison grazing on early oak growth and survivorship. The outcomes we plan to achieve are to: (1) discover better restoration and preservation practices for savanna ecosystems; (2) determine how these practices impact savanna biodiversity; and (3) educate Minnesotans about the ecological heritage of their state, including the roles that bison, fire and biodiversity play in the functioning of savannas and other Minnesota ecosystems. We will achieve these goals and outcomes by: (1) restoring bison grazing to 200 acres of oak savanna; (2) experimentally testing whether bison grazing promot
Data from: Applied use of alternate stable state modeling in restoration ecology
<p>The concept of alternate stable states is important in ecological theory and models, but the application and implementation of these models have the potential to make significant future advances in the field of patterned landscapes. The bi-stable, ridge and slough landscape is a central feature of Everglades restoration and provides an important opportunity to test stable state theory with multistate transition models. We used these models to estimate environmental parameters associated with state changes (water depths, edaphic factors, etc.) to develop a quantitative method to measure resilience and stability. The multistate model indicates that long-term, local hydrology (15-year mean maximums and 15-year mean amplitude) and edaphic factors control the local scale shifts between ridge and slough states. We show that multistate models can provide hydrologic envelopes for managers, produce a tool to help assess future water management scenarios, and address issues of sustainability, resilience, and restoration for any bi-stable system.</p>
Restore Centre of Excellence: High-resolution mapping of Louisina vegetation remote sensing data for surge modelling
<p>Satellite derived Leaf Area Index map of the Louisiana coast, translated into plant dimensions using field data from CMRS stations and dedicated project sampling. Plant dimensions have been used to prescribe hydraulic roughness fields for a hydrodynamic model (Delft3D) used to asses the effect of wetlands on storm surge levels.</p>
Carbon stocks from rangeland riparian restoration, northern California
<p>Data on carbon accumulation in soils and woody biomass as a result of rangeland riparian restoration in northern California. These data accompany a paper expected to appear in Carbon Balance and Management.</p>
Supplementary material 4 from: Beltrán LC, Aguilar-Dorantes KM, Howe HF (2020) Effects of a recalcitrant understory fern layer in an enclosed tropical restoration experiment. NeoBiota 59: 99-118. https://doi.org/10.3897/neobiota.59.51906
Fern data from quadrat study
Supplementary material 7 from: Beltrán LC, Aguilar-Dorantes KM, Howe HF (2020) Effects of a recalcitrant understory fern layer in an enclosed tropical restoration experiment. NeoBiota 59: 99-118. https://doi.org/10.3897/neobiota.59.51906
Output from mixed-effects models on frond density
Supplementary material 6 from: Beltrán LC, Aguilar-Dorantes KM, Howe HF (2020) Effects of a recalcitrant understory fern layer in an enclosed tropical restoration experiment. NeoBiota 59: 99-118. https://doi.org/10.3897/neobiota.59.51906
Seed addition experiment data
Supplementary material 2 from: Beltrán LC, Aguilar-Dorantes KM, Howe HF (2020) Effects of a recalcitrant understory fern layer in an enclosed tropical restoration experiment. NeoBiota 59: 99-118. https://doi.org/10.3897/neobiota.59.51906
Trees by origin and restoration treatment
Supplementary material 3 from: Beltrán LC, Aguilar-Dorantes KM, Howe HF (2020) Effects of a recalcitrant understory fern layer in an enclosed tropical restoration experiment. NeoBiota 59: 99-118. https://doi.org/10.3897/neobiota.59.51906
Information on planted tree species
Supplementary material 5 from: Beltrán LC, Aguilar-Dorantes KM, Howe HF (2020) Effects of a recalcitrant understory fern layer in an enclosed tropical restoration experiment. NeoBiota 59: 99-118. https://doi.org/10.3897/neobiota.59.51906
Recruit data from quadrat study
Supplementary material 1 from: Beltrán LC, Aguilar-Dorantes KM, Howe HF (2020) Effects of a recalcitrant understory fern layer in an enclosed tropical restoration experiment. NeoBiota 59: 99-118. https://doi.org/10.3897/neobiota.59.51906
Model output for canopy cover characteristics by restoration treatment
Maximizing the value of forest restoration for tropical mammals by detecting three-dimensional habitat associations
<b>Description: </b><p>Species detection data for 28 medium-large mammal species obtained using camera trap methods across a logging-induced degradation gradient. Cameras were deployed using a paired design across 74 sampling locations. Data were used to explore species-habitat associations with LiDAR-derived measures of forest structure.</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/26"><b>Understanding covariation between mammalian diversity and forest carbon across a human-modified tropical landscape</b></a></p><p><b>Funding: </b>These data were collected as part of research funded by: </p><ul><li>NERC (Standard grant, NE/K016407/1, <a href="http://gotw.nerc.ac.uk/list_full.asp?pcode=NE%2FK016407%2F1&classtype=ENRIs&classification=Biodiversity&cookieConsent=A">http://gotw.nerc.ac.uk/list_full.asp?pcode=NE%2FK016407%2F1&classtype=ENRIs&classification=Biodiversity&cookieConsent=A</a>)</li></ul><p>This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs.</p><p></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=4010757">here</a></p><p><b>Files: </b>This consists of 1 file: DeereEtAl2020_PNAS.xlsx</p><p><b>DeereEtAl2020_PNAS.xlsx</b></p><p>This file contains dataset metadata and 2 data tables:</p><ol><li><p><b>Site metadata and deployment details</b> (described in worksheet Deployment)</p><p>Description: Details of sampling locations, operational dates and survey effort for each camera trap station (N=126)</p><p>Number of fields: 9</p><p>Number of data rows: 126</p><p>Fields: </p><ul><li><b>Site_ID</b>: Unique alphanumeric identifier of the location camera traps were deployed (Field type: location)</li><li><b>Habitat_Class</b>: Forest condition relative to logging-indiced degradation. Follows Putz and Redford Classification scheme (Putz, Francis E., and Kent H. Redford. "The importance of defining 'forest': tropical forest degradation, deforestation, long‐term phase shifts, and further transitions." Biotropica 42.1 (2010): 10-20) (Field type: categorical)</li><li><b>Latitude</b>: Geographic coordinate of camera trap location (Field type: latitude)</li><li><b>Longitude</b>: Geographic coordinate of camera trap location (Field type: longitude)</li><li><b>Date_On</b>: Date camera traps were deployed (Field type: date)</li><li><b>Time_On</b>: Time camera traps were deployed (Field type: time)</li><li><b>Date_Off</b>: Date camera traps were collected (Field type: date)</li><li><b>Time_Off</b>: Time camera traps were collected (Field type: time)</li><li><b>CTNs</b>: Total survey effort for camera trap station (Field type: numeric)</li></ul></li><li><p><b>Species detection data</b> (described in worksheet Detection)</p><p>Description: Raw camera trap detection data for 28 medium-large mammal species obtained from 126 camera trap stations deployed using a paired design across 74 sampling locations </p><p>Number of fields: 7</p><p>Number of data rows: 29008</p><p>Fields: </p><ul><li><b>Site</b>: Unique alphanumeric identifier of the location camera traps were deployed (Field type: location)</li><li><b>common_name</b>: Mammal species identifier (Field type: taxa)</li><li><b>Sp_ID</b>: Numeric species identifier, used to coerce dataframe into a 4D array (Field type: id)</li><li><b>Site_ID</b>: Numeric site identifier, used to coerce dataframe into a 4D array (Field type: id)</li><li><b>Spatial_Rep</b>: Spatial replicate indicative of the number of camera trap stations deployed at a site. Also used to coerce dataframe into a 4d array (Field type: replicate)</li><li><b>Temporal_Rep</b>: Temporal replicate, each comprising six camera trap nights (Field type: replicate)</li><li><b>Detection</b>: Presence/absence of species during survey period (Field type: abundance)</li></ul></li></ol><p><b>Date range: </b>2014-06-20 to 2017-10-09</p><p><b>Latitudinal extent: </b>4.5536 to 4.8121</p><p><b>Longitudinal extent: </b>117.4122 to 117.7398</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div> -  Animalia <br> -  -  Chordata <br> -  -  -  Mammalia <br> -  -  -  -  Rodentia <br> -  -  -  -  -  Sciuridae <br> -  -  -  -  -  -  <i>Rheithrosciurus</i> <br> -  -  -  -  -  -  -  <i>Rheithrosciurus macrotis</i> <br> -  -  -  -  -  Hystricidae <br> -  -  -  -  -  -  <i>Hystrix</i> <br> -  -  -  -  -  -  -  <i>Hystrix brachyura</i> <br> -  -  -  -  -  -  -  <i>Hystrix crassispinis</i> <br> -  -  -  -  -  -  <i>Trichys</i> <br> -  -  -  -  -  -  -  <i>Trichys fasciculata</i> <br> -  -  -  -  Proboscidea <br> -  -  -  -  -  Elephantidae <br> -  -  -  -  -  -  <i>Elephas</i> <br> -  -  -  -  -  -  -  <i>Elephas maximus</i> <br> -  -  -  -  Carnivora <br> -  -  -  -  -  Viverridae <br> -  -  -  -  -  -  <i>Viverra</i> <br> -  -  -  -  -  -  -  <i>Viverra tangalunga</i> <br> -  -  -  -  -  -  <i>Arctictis</i> <br> -  -  -  -  -  -  -  <i>Arctictis binturong</i> <br> -  -  -  -  -  -  <i>Paradoxurus</i> <br> -  -  -  -  -  -  -  <i>Paradoxurus hermaphroditus</i> <br> -  -  -  -  -  -  <i>Hemigalus</i> <br> -  -  -  -  -  -  -  <i>Hemigalus derbyanus</i> <br> -  -  -  -  -  -  <i>Paguma</i> <br> -  -  -  -  -  -  -  <i>Paguma larvata</i> <br> -  -  -  -  -  Felidae <br> -  -  -  -  -  -  <i>Pardofelis</i> <br> -  -  -  -  -  -  -  <i>Pardofelis marmorata</i> <br> -  -  -  -  -  -  <i>Prionailurus</i> <br> -  -  -  -  -  -  -  <i>Prionailurus bengalensis</i> <br> -  -  -  -  -  -  <i>Neofelis</i> <br> -  -  -  -  -  -  -  <i>Neofelis diardi</i> <br> -  -  -  -  -  Mustelidae <br> -  -  -  -  -  -  <i>Martes</i> <br> -  -  -  -  -  -  -  <i>Martes flavigula</i> <br> -  -  -  -  -  Ursidae <br> -  -  -  -  -  -  <i>Helarctos</i> <br> -  -  -  -  -  -  -  <i>Helarctos malayanus</i> <br> -  -  -  -  -  Herpestidae <br> -  -  -  -  -  -  <i>Herpestes</i> <br> -  -  -  -  -  -  -  <i>Herpestes brachyurus</i> <br> -  -  -  -  -  Mephitidae <br> -  -  -  -  -  -  <i>Mydaus</i> <br> -  -  -  -  -  -  -  <i>Mydaus javanensis</i> <br> -  -  -  -  Primates <br> -  -  -  -  -  Cercopithecidae <br> -  -  -  -  -  -  <i>Macaca</i> <br> -  -  -  -  -  -  -  <i>Macaca fascicularis</i> <br> -  -  -  -  -  -  -  <i>Macaca nemestrina</i> <br> -  -  -  -  -  Hominidae <br> -  -  -  -  -  -  <i>Pongo</i> <br> -  -  -  -  -  -  -  <i>Pongo pygmaeus</i> <br> -  -  -  -  Artiodactyla <br> -  -  -  -  -  Suidae <br> -  -  -  -  -  -  <i>Sus</i> <br> -  -  -  -  -  -  -  <i>Sus barbatus</i> <br> -  -  -  -  -  Tragulidae <br> -  -  -  -  -  -  <i>Tragulus</i> <br> -  -  -  -  -  -  -  <i>Tragulus napu</i> <br> -  -  -  -  -  -  -  <i>Tragulus kanchil</i> <br> -  -  -  -  -  Cervidae <br> -  -  -  -  -  -  <i>Muntiacus</i> <br> -  -  -  -  -  -  -  <i>Muntiacus atherodes</i> <br> -  -  -  -  -  -  -  <i>Muntiacus muntjak</i> <br> -  -  -  -  -  -  <i>Rusa</i> <br> -  -  -  -  -  -  -  <i>Rusa unicolor</i> <br> -  -  -  -  Pholidota <br> -  -  -  -  -  Manidae <br> -  -  -  -  -  -  <i>Manis</i> <br> -  -  -  -  -  -  -  <i>Manis javanica</i> <br> -  -  -  -  Erinaceomorpha <br> -  -  -  -  -  Erinaceidae <br> -  -  -  -  -  -  <i>Echinosorex</i> <br> -  -  -  -  -  -  -  <i>Echinosorex gymnura</i> <br></div><p></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)
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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.