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53 results for “reforestation”
Ecosystem metabolism and associated environmental data for a forested, meadow and reforested reach of White Clay Creek, Chester Co., Pennsylvania; 1971-1975 and 1997-2010
Ecosystem metabolism data for a 3rd-order Piedmont stream were collected during two periods: P1- April 1971 – Dec 1975, and P2- May 1997 – January 2010. Measures were made in a meadow and a forested reach during each period and in a reforested (formerly meadow) reach during the latter years of P2. During P1, measures were made by transferring streambed substrata to chambers in water jackets located on the streambank and measuring dissolved oxygen changes over diel periods. During P2, open system measures of dissolved O2 change were made for several days in warm and cold seasons, with reaeration determined from a propane injection experiment. Metabolism estimates were determined from diel curves of dissolved O2 change. Photosynthetically active radiation (PAR) and chlorophyll were measured concurrent with many measurements in P1 and all measures during P2, and temperature with all measures. Water chemistry parameters (NH4-N, NO3-N, PO4-P, SiO2, Cl, SO4, total alkalinity, pH) associated with each run are included in the data set, as are days since storm of various thresholds. Field procedures, analytical methods and data analyses are detailed in Bott, T.L. & J. D. Newbold, 2023. A multi-year analysis of factors affecting ecosystem metabolism in forested and meadow reaches of a Piedmont Stream. Hydrobiologia
Species and groundcover of understory herbaceous plants in a chronosequence of reforested urban sites, Lexington, KY USA
This dataset contains information on understory plant communities in across twenty urban reforestation sites planted as part of the Reforest the Bluegrass program in Lexington, KY. Urban reforested areas located in Lexington, Kentucky were evaluated over the course of summer 2020. At least three plots (and up to nine plots) were established in each site, with additional plots added if forested patches were sufficiently large. At each plot, we established a 0.008-ha (0.02-ac) circular sampling plot to survey understory plant species. Groundcover of all species, excepting tree- and shrub-forming species, was visually estimated in 10 grids, 0.6 m x 0.6 m. These data will contribute to understanding of understory plant community dynamics in developing urban forests.
Climate based seed zones for Mexico: spatial grids to guide reforestation under observed and projected climate change
<p>This database entry provides climate-based seed zone system for Mexico to address climate change observed over the last 30 years and projected climate change for the 2050s. The database corresponds to a journal publication by Castellanos-Acuña et al. (2018), available at https://doi.org/10.1007/s11056-017-9620-6. This seed zone classification is based on bands of two climate variables that have often been shown to drive genetic adaptation of tree species: mean coldest month temperature (MCMT), and an aridity index (AHM). MCMT was divided into ten bands of 3°C intervals, with the limits of these bands being, temperatures below <2°C, 2-5°, 5-8°, 8-11°, 11-14°, 14-17°, 17-20°, 20-23°, 23-26°, >26°C. AHM was divided into seven bands with intervals that are approximately equal width under a log-transformation: <20, 20-30, 30-45, 45-65, 65-95, 95-140, and >140 °C/mm. The gridded files provided in this database entry, the classes are coded as integer numbers, with the last digit representing the AHM class (1-7) and the first or first and second digit representing the MCMT class (1-10).</p>
Species, DBH, and height of overstory trees in a chronosequence of reforested urban sites, Lexington, KY, USA
Urban reforested areas located in Lexington, Kentucky were evaluated over the course of summer 2020. This dataset contains information on tree species, height, DBH, and snag class across twenty urban reforestation sites planted as part of the Reforest the Bluegrass program in Lexington, KY. At least three plots (and up to nine plots) were established in each site, with additional plots added if forested patches were sufficiently large. At each plot, we established a 0.008-ha (0.02-ac) circular sampling plot and recorded the species, diameter at breast-height (DBH), and total height of each tree ≥2.5 cm (1 in) DBH. DBH was measured to the nearest 0.25 cm (0.1 in) using a DBH tape, and tree height was measured to the nearest 0.1 m using a laser hypsometer (Nikon Forestry Pro II) or telescoping height pole. These data provide a critical baseline for understanding tree growth on reforested urban sites.
Chemical and physical characteristics of soil samples collected from a chronosequence of reforested urban sites in Lexington, KY USA.
This dataset contains information on soil physical and chemical characteristics across twenty urban reforestation sites planted as part of the Reforest the Bluegrass program in Lexington, Kentucky, USA. At least three plots (and up to nine plots) were established in each site, with additional plots added if forested patches were sufficiently large. Soil samples were collected from each plot in summer 2020. Samples were composited from five subsamples collected from plot center and approximately 1 m from plot center in the four cardinal directions. Subsamples were collected to a depth of approximately 10 cm using a sampling spade. Composite samples were air-dried and passed through a 2cm sieve, and then sent to the University of Kentucky Regulatory Services soils lab for analysis for pH, P, K, Ca, Mg, Zn, particle size distribution, total C, and total N.
Species and height of understory trees and shrubs in a chronosequence of reforested urban sites, Lexington, KY USA.
This dataset contains information on soil physical and chemical characteristics across twenty urban reforestation sites planted as part of the Reforest the Bluegrass program in Lexington, KY. Urban reforested areas located in Lexington, Kentucky were evaluated over the course of summer 2020. At least three plots (and up to nine plots) were established in each site, with additional plots added if forested patches were sufficiently large. At each plot, we established a 0.002-ha (0.005-ac) circular sampling plot to survey woody understory species, respectively. Height and species of all woody plants <2.5 cm DBH and ≥30 cm tall were tallied to the nearest 0.5 cm with a telescoping height pole. These data will contribute to understanding of understory stand dynamics in developing urban forests.
Data from: Riparian reforestation on the landscape scale – Navigating trade-offs among agricultural production, ecosystem functioning and biodiversity
<p> </p> <p><strong>Short description</strong></p> <p>This repository contains the relevant data and code used for the analyses of the scientific publication: "<em>Riparian reforestation on the landscape scale – Navigating trade-offs among agricultural production, ecosystem functioning and biodiversity</em>", published in the Journal of Applied Ecology.</p> <p>For further details please see the original article and its supplementary materials.</p> <p> </p> <p><strong>Organization of the data</strong></p> <p>The repository contains two main folders:</p> <p> 1. Target indicators & spatial analysis</p> <p><em>‘target indicators.csv’</em>: Measured variables that have been quantified at the CROSSLINK field sampling campaign in the Zwalm catchment (EPT taxa richness, diatoms functional evenness, cotton-strip assay).</p> <p><em>‘bio-suitability segments.csv’</em>: Biophysical suitability for food production of the arable land for each riparian segment of the Zwalm.</p> <p><em>‘spatial analysis.xlsx’</em>: Results of the Zwalm spatial analyses addressing land-use and physiographic properties of the (1) local riparian corridors; (2) full riparian corridors within in the upstream catchments and (3) total upstream catchment areas for each sampling site.</p> <p><em>‘Summary model development Zwalm.pptx’</em>: Additional information on the models that have been used in the CoMOLA optimization framework.</p> <p> 2. CoMOLA input & parameterisation</p> <p>The files in this folder can be used for the parameterisation of the Python tool CoMOLA (Strauch et al., 2019). Source for CoMOLA, including user manual: https://github.com/michstrauch/CoMOLA</p> <p><em>‘config.ini’</em>: Basic configuration file of CoMOLA (needs to be adjusted to local settings)</p> <p><em>‘input’ folder</em>: Includes the CoMOLA input files that have been used in our study. See CoMOLA manual for more details on each file.</p> <p><em>‘models’ folder</em>: Includes the Python code of the models that are used for the calculation of all target indicators within the optimization framework (‘Zwalm_4_Models_v1_utf8.py’). The sub-folders ‘GIS_temp_files’ and ‘Input’ contain all files that are needed and have been used to run the Python code.</p> <p> </p>
Distribution of Biophysical Feasibility of Mangrove Reforestation in China and Southeast Asia
<p><a target="_blank">The spatially-explicit opportunities map for mangrove reforestation in China and Southeast Asia, a global hotspot of mangrove loss, used long-term satellite observations and a habitat suitability assessment. Extensive mangrove losses occurred in the region (165,079 ha), primarily caused by aquaculture expansion. Our results identify approximately 60% of the lost mangrove areas as biophysical feasibility for reforestation, primarily along the eastern coastlines of Indonesia. Mangroves reforestation in these areas could provide a climate change mitigation benefit of 26-28 Mt C.</a></p>
Raw data for: Habitat edges affect tree diversity more than biomass regeneration in a reforested wet neotropical timber plantation
<p>Raw data for: Habitat edges affect tree diversity more than biomass regeneration in a reforested wet neotropical timber plantation. Code hosted on GitHub/Zenodo.</p>
Reforestation of high elevation pines: Direct seeding success depends on seed source and sowing environment
<p>Forest persistence in regions impacted by increasing water and temperature stress will depend upon species' ability to either rapidly adjust to novel conditions or migrate to track ecological niches. Predicted, rapid climate change is likely to outpace the adaptive and migratory capacity of long-lived isolated tree species, and reforestation may be critical to species' persistence. Facilitating persistence both within and beyond a species' range requires identification of seed lots best adapted to the current and future conditions predicted with rapid climate change. We evaluate variation in emergent seedling performance that leads to differential survival among species and populations for three high-elevation five-needle pines. We paired a fully reciprocal field common garden experiment with a greenhouse common garden study to a) quantify variation in seedling emergence and functional traits, b) ask how functional traits affect performance under different establishment conditions, and c) evaluate whether trait and performance variation demonstrates local adaptation and plasticity. Among study species – limber, Great Basin bristlecone, and whitebark pines – we found divergence in emergence and functional traits, though soil moisture was the strongest driver of seedling emergence and abundance across all species. Generalist limber pine had a clear emergence advantage as well as traits associated with drought adaptation, while edaphic specialist bristlecone pine was characterized by low emergence yet high early survival once established. Despite evidence for edaphic specialization, soil characteristics alone did not explain bristlecone success. Across species, trait-environment relationships provided some evidence for local adaptation in drought-adapted traits, but we found no evidence of local adaptation in emergence or survival at this early life stage. For managers looking to promote persistence, sourcing seed from drier environments is likely to impart greater drought resistance into reforestation efforts through strategies such as greater root investment, increasing the probability of early seedling survival. This research demonstrates, through a rigorous reciprocal transplant experimental design, that it may be possible to select climate- and soil-appropriate seed sources for reforestation. However, planting success will ultimately rely on a suitable establishment environment, requiring careful consideration of interannual climate variability for management interventions in these climate- and disturbance-impacted tree species.</p>
Reforestation of high elevation pines: Direct seeding success depends on seed source and sowing environment
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Figure 12 in An ornithological inventory in a reforested woodlot in western Paraná state, southern Brazil
Figure 12. Eucometis penicillata photographed at Coluna Prestes, Diamante d'Oeste County. Photo: Vagner Cavarzere.
Figure 11 in An ornithological inventory in a reforested woodlot in western Paraná state, southern Brazil
Figure 11. Spectrogram of the vocalization (after playback) of an individual of Myiothlypis flaveola recorded at Santa Helena Relevant Ecological Interest Area, Santa Helena County.
Figure 13 in An ornithological inventory in a reforested woodlot in western Paraná state, southern Brazil
Figure 13. Male Sporophila palustris photographed at the Universidade Tecnológica Federal do Paraná campus, city of Santa Helena. Photo: Vagner Cavarzere.
Figure 9 in An ornithological inventory in a reforested woodlot in western Paraná state, southern Brazil
Figure 9. Casiornis rufus photographed at Santa Helena Relevant Ecological Interest Area, Santa Helena County. Photo: Vagner Cavarzere.
Figure 8 in An ornithological inventory in a reforested woodlot in western Paraná state, southern Brazil
Figure 8. Individual of Campylorhamphus trochilirostris photographed on the UniversidadeFederaldoParanácampus, cityofPalotina. Photo:AndréRüdiger.
Figure 6 in An ornithological inventory in a reforested woodlot in western Paraná state, southern Brazil
Figure 6. Three of the six Amazona vinacea individuals photographed at the UniversidadeTecnológica Federal do Paraná campus, city of Santa Helena (WA4249943). Photo: Vagner Cavarzere.
Figure 7 in An ornithological inventory in a reforested woodlot in western Paraná state, southern Brazil
Figure 7. Female Herpsilochmus longirostris photographed at Santa Helena Relevant Ecological Interest Area, Santa Helena County. Photo: Vagner Cavarzere.
Figure 5 in An ornithological inventory in a reforested woodlot in western Paraná state, southern Brazil
Figure 5. Male Laterallus exilis (UTFPR-56) in ventral (A) and dorsal (B) views registered at the UniversidadeTecnológica Federal do Paraná campus, city of Santa Helena.
Figure 10 in An ornithological inventory in a reforested woodlot in western Paraná state, southern Brazil
Figure 10. Campylorhynchus turdinus photographed in the city of Santa Helena. Photo: Vagner Cavarzere.
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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.