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3,105 results for “vegetation”
Vegetation Plots of the Bonanza Creek LTER Control Plots: Species Percent Cover (1975 - 2009)
This study is a survey of the vegetation of the 35 control sites in Bonanza Creek LTER. The 35 sites represent replicates each of six successional stages of primary succession on the floodplain of the Tanana River and four stages of succession uplandsas well as a few recently burned sites. Data include percent cover of all species and count based on twenty 1 m2 or 4 m2 plots. Plots in young stages of succession were remeasured every 1 to 2 years; those in older stages every 3 to 5 years. Some information on biomass in these stages is available. Although most sites were established in 1988 some sites have vegetation plots that have been sampled periodically since 1965. 2009 was the last year of sampling using visual estimates of percent cover. In 2007 a new point framing system was developed and is now used for collecting vegetation data from these sites.
Vegetation Plots of the Bonanza Creek LTER Control Plots: Species Count (1975 - 2004)
These data are the vegetation datasets for 27 LTER sites in Bonanza Creek Experimental Forest. The 27 sites are divided into three replicates for six primary successional stages on the floodplains (3 replicates X 6 successional stages = 18 sites) and three replicates for three secondary successional stages in the uplands (3 replicates X 3 successional stages = 9 sites). Data include: 1) Visual estimates of percent cover, 2) Stem counts (the number of individuals/species), and 3) Heights (cm) for "tall shrub species" in twenty 4 m2 plots. Shrubs are considered "Tall shrubs" if they are Salix sp., Alnus sp., Rosa acicularis, Viburnum edule, Betula nana, Betula glandulosa, or Rubus idaeus. Initial colonziations plots (FP0s, SL1s, HR1A) were remeasured every year. Early successional plots were remeasured every 2-4 years. Later succesional plots were remeasured approximately every five years. For a detail schedule of plot measurements please see the file: Vegetation Monitoring Schedule.xls Although most sites were established in 1988 some sites have vegetation plots that have been sampled periodically since 1965. In 2006 shrub data collection was changed to a transect method of sampling. These data can be found in the file: <a href="http://www.lter.uaf.edu/data_detail.cfm?datafile_pkey=530"> Shrub, Seedling and Sapling Density at Bonanza Creek LTER Research Sites (2006-Present) </a>.
White Spruce Seedling Counts at Bonanza Creek Experimental Forest Vegetation Plots (4-sq meters)
This study is a survey of the spruce seedlings of 24 LTER sites in Bonanza Creek Experimental Forest. The 24 sites are divided into three replicates for six primary successional stages onthe floodplains (3 replicates X 5 successional stages = 15 sites) and three replicates for three secondary sucessional stages in the uplands (3 replicates X 3 successional stages = 9 sites). White spruce seedlings were surveyed on some sites as early as 1975 and every 1-2 years from the 1980's through 2004. Seedlings are currently surveyed as part of the <a href="http://www.lter.uaf.edu/data_detail.cfm?datafile_pkey=530"> Shrub, Seedling and Sapling Density at Bonanza Creek LTER Research Sites (2006-Present) </a> data package.
Vegetation cover: Wickersham fire sites (at the Viereck thaw probe locations), 1977-2004
In June of 1971, the Wickersham fire burned 6313 ha in an open black spruce forest underlain with permafrost and provided an opportunity to study fire and fireline effects on the rate and patterns of permafrost, soil, and vegetation recovery. When wildfire burns through a northern black spruce forest the degree of soil organic layer consumption greatly influences the post-fire community characteristics. The construction of firelines with heavy machinery involves the complete removal of vegetation and the soil organic layer down to mineral soil and likewise affects the community characteristics after fire and fire suppression. This long-term study is a comparison between the vegetative communities of firelines, burned, and unburned open black spruce forests underlain by ice rich permafrost. Vegetation percent cover for all species were measured in the fireline, burned, and unburned control sites on the east side of Cushman Creek of the Wickersham Fire Sites, as well as the fireline on the west side of Cushman Creek. This dataset largely focuses on the vegetation of the three east side sites (2004, 2012, and 2130) to corroborate the detailed studies of active layer depths and fireline surface level changes previously published (Viereck, 1982; also see datasets in related material section) and in preparation.>
Tree regeneration after fire: Wickersham Dome long-term vegetation study, bl. spruce cone analysis
These data represent the most recent set of observations (made in 2002 by J. Johnstone) for several long-term vegetation monitoring plots near Wickersham Dome that were set up by Les Viereck and Joan Foote following the 1971 wildfire and 1978 experimental burns. Earlier records are available in the BNZ long-term vegetation database. This dataset documents tree seedling/sapling and shrub measurements made in 2002. Contains counts of total numbers of cones on individual trees (black spruce only), along with tree height.
Tree regeneration after fire: Wickersham Dome long-term vegetation study, shrub height data
These data represent the most recent set of observations (made in 2002 by J. Johnstone) for several long-term vegetation monitoring plots near Wickersham Dome that were set up by Les Viereck and Joan Foote following the 1971 wildfire and 1978 experimental burns. Earlier records are available in the BNZ long-term vegetation database. This dataset documents tree seedling/sapling and shrub measurements made in 2002. Contains data on woody shrub heights measured in the same plots as trees.
Nitrogen cycling at treeline. I. Study Sites and Vegetation
We studied spatial and temporal patterns of nitrogen pools and fluxes in soils at treeline and forested sites within three mountain ranges across a 785 km transect in Alaska during 2001- 2002. We measured pools of soil mineral (ammonium and nitrate) and organic (amino acid and microbial biomass) nitrogen, in situ rates of net mineralization, net nitrification, net amino acid production, and decomposition, as well as soil carbon turnover in a laboratory incubation experiment. A complete characterization of the study can be found in Loomis et al. (2006).
Vegetation composition for 84 sites in the Regional Site Network, compilation from previous surveys.
Many sites in the LTER regional site network (RSN) were adopted from preexisting site networks. Prior to becoming a part of the RSN, releve surveys were conducted at or near the current RSN site using the Braun-Bluanquet cover estimate scale. These data have been compiled for use as a baseline. It is important to note that many of the young successional sites were last surveyed in 2006, 2 years after fire.
Eight Mile Lake Research Watershed, Carbon in Permafrost Experimental Heating and Drying Research (CiPEHR and DryPEHR): Weekly 13C Keeling Plot Signatures of Ecosystem Respiration from CiPEHR, DryPEHR and vegetation removal plots, and auxilliary data, 2015
The Carbon in Permafrost Experimental Heating Research (CiPEHR) project addresses the following questions: 1) Does ecosystem warming cause a net release of C from the ecosystem to the atmosphere?, 2) Does the decomposition of old C, that comprises the bulk of the soil C pool, influence ecosystem C loss?, and 3) How do winter and summer warming alone, and in combination, affect ecosystem C exchange? We are answering these questions using a combination of field and laboratory experiments to measure ecosystem carbon balance and radiocarbon isotope ratios at a warming experiment located in an upland tundra field site near Healy, Alaska in the foothills of the Alaska Range. How does warming and water table change impact the phenology of dominant plant species? We are answering these questions using a combined warming and drying experiment (DryPEHR), which is situated with the Carbon in Permafrost Experimental Heating Research (CiPEHR) project and located in an upland tundra field site near Healy, Alaska in the foothills of the Alaska Range. Warming treatment here refers to growing season air temperature warming (~1C) using open top chambers (OTC) combined with soil 'warming' using snow fences during the snow covered months. Drying is achieved using an automated pumping system that lowers the water table in the dry plots. Soil warming and OTC air warming on CIPEHR plots began in 2008; OTCs and drying on DryPEHR in 2011, though the soil warming effect had legacy since 2008. Vegetation removal was done outside the CiPEHR footprint, in July 2012. All vegetation was clipped at the surface and plots were trenched to 30cm, regrowth was prevented by frequent weeding and by 2015 very little new growth was observed in the plots. Vegetation removal plots were paired with undisturbed, vegetated plots. The data presented here specifically addresses the questions, 1) What is the seasonal signal of ecosystem respiration 13C during the growing season, from snow melt to snow fall, 2) How
Carbon Dynamics Along a Permafrost Gradient at Caribou-Poker Creeks Research Watershed (CPCRW) in Interior Alaska: Active Layer Depth (ALD) in a 75x75m spatial domain along a permafrost and vegetation gradient.
This dataset includes active layer depth (ALD) data across a 75x75m spatial domain in the Caribou-Poker Creeks Research Watershed. Project summary: Specific leaf area (SLA, leaf area per unit dry mass) is a key canopy structural characteristic, a measure of photosynthetic capacity, and an important input into many terrestrial process models. Although many studies have examined SLA variation, relatively few data exist from high latitude, climate-sensitive permafrost regions. We measured SLA and soil and topographic properties across a boreal forest permafrost transition, in which forest composition changed as permafrost deepened from 54 to >150 cm over 75 m hillslope transects in Caribou-Poker Creeks Research Watershed, Alaska. This is an exploratory study to begin understanding SLA variation and controls thereof in a non-contiguous permafrost system.
Carbon Dynamics Along a Permafrost Gradient at Caribou-Poker Creeks Research Watershed (CPCRW) in Interior Alaska: Net Primary Production (NPP) for black spruce (Picea mariana) in a 75x75m spatial domain along a permafrost and vegetation gradient.
This dataset includes net primary production (NPP) data for black spruce (Picea mariana) in the Caribou-Poker Creeks Research Watershed. Project summary: Specific leaf area (SLA, leaf area per unit dry mass) is a key canopy structural characteristic, a measure of photosynthetic capacity, and an important input into many terrestrial process models. Although many studies have examined SLA variation, relatively few data exist from high latitude, climate-sensitive permafrost regions. We measured SLA and soil and topographic properties across a boreal forest permafrost transition, in which forest composition changed as permafrost deepened from 54 to >150 cm over 75 m hillslope transects in Caribou-Poker Creeks Research Watershed, Alaska. This is an exploratory study to begin understanding SLA variation and controls thereof in a non-contiguous permafrost system.
Carbon Dynamics Along a Permafrost Gradient at Caribou-Poker Creeks Research Watershed (CPCRW) in Interior Alaska: Net Primary Production (NPP) in a 75x75m spatial domain along a permafrost and vegetation gradient.
This dataset includes net primary production (NPP) data for dominant tree species in the Caribou-Poker Creeks Research Watershed. Project summary: Specific leaf area (SLA, leaf area per unit dry mass) is a key canopy structural characteristic, a measure of photosynthetic capacity, and an important input into many terrestrial process models. Although many studies have examined SLA variation, relatively few data exist from high latitude, climate-sensitive permafrost regions. We measured SLA and soil and topographic properties across a boreal forest permafrost transition, in which forest composition changed as permafrost deepened from 54 to >150 cm over 75 m hillslope transects in Caribou-Poker Creeks Research Watershed, Alaska. This is an exploratory study to begin understanding SLA variation and controls thereof in a non-contiguous permafrost system.
Carbon Dynamics Along a Permafrost Gradient at Caribou-Poker Creeks Research Watershed (CPCRW) in Interior Alaska: Specific Leaf Area (SLA) for alder (Alnus crispa) and black spruce (Picea mariana) in a 75x75m spatial domain along a permafrost and vegetation gradient.
This dataset includes specific leaf area (SLA) data for two dominant tree species in the Caribou-Poker Creeks Research Watershed: alder (Alnus crispa) and black spruce (Picea mariana). Up to 10 leaf samples were collected per species per sampling location. Project summary: Specific leaf area (SLA, leaf area per unit dry mass) is a key canopy structural characteristic, a measure of photosynthetic capacity, and an important input into many terrestrial process models. Although many studies have examined SLA variation, relatively few data exist from high latitude, climate-sensitive permafrost regions. We measured SLA and soil and topographic properties across a boreal forest permafrost transition, in which forest composition changed as permafrost deepened from 54 to >150 cm over 75 m hillslope transects in Caribou-Poker Creeks Research Watershed, Alaska. This is an exploratory study to begin understanding SLA variation and controls thereof in a non-contiguous permafrost system.
Carbon Dynamics Along a Permafrost Gradient at Caribou-Poker Creeks Research Watershed (CPCRW) in Interior Alaska: Slope data in a 75x75m spatial domain along a permafrost and vegetation gradient.
This dataset includes landscape slope data. Project summary: Specific leaf area (SLA, leaf area per unit dry mass) is a key canopy structural characteristic, a measure of photosynthetic capacity, and an important input into many terrestrial process models. Although many studies have examined SLA variation, relatively few data exist from high latitude, climate-sensitive permafrost regions. We measured SLA and soil and topographic properties across a boreal forest permafrost transition, in which forest composition changed as permafrost deepened from 54 to >150 cm over 75 m hillslope transects in Caribou-Poker Creeks Research Watershed, Alaska. This is an exploratory study to begin understanding SLA variation and controls thereof in a non-contiguous permafrost system.
Carbon Dynamics Along a Permafrost Gradient at Caribou-Poker Creeks Research Watershed (CPCRW) in Interior Alaska: Specific Leaf Area (SLA) for alder (Alnus crispa) and black spruce (Picea mariana) in a 75x75m spatial domain along a permafrost and vegetation gradient.
This dataset includes depth-resolved soils data from September 2014 coring: soil pH, gravimetric soil moisture, roots/rocks, bulk density, humification indices as determined by FTIR, total elemental composition (carbon, nitrogen, sulfur), depth to mineral horizon, thickness of the moss layer, percent groundcover at the sampling location of several common species, and soil temperature at the time of coring. Project summary: Specific leaf area (SLA, leaf area per unit dry mass) is a key canopy structural characteristic, a measure of photosynthetic capacity, and an important input into many terrestrial process models. Although many studies have examined SLA variation, relatively few data exist from high latitude, climate-sensitive permafrost regions. We measured SLA and soil and topographic properties across a boreal forest permafrost transition, in which forest composition changed as permafrost deepened from 54 to >150 cm over 75 m hillslope transects in Caribou-Poker Creeks Research Watershed, Alaska. This is an exploratory study to begin understanding SLA variation and controls thereof in a non-contiguous permafrost system.
Carbon Dynamics Along a Permafrost Gradient at Caribou-Poker Creeks Research Watershed (CPCRW) in Interior Alaska: Forest stand structure in a 75x75m spatial domain along a permafrost and vegetation gradient.
This dataset includes forest stand structure. Project summary: Specific leaf area (SLA, leaf area per unit dry mass) is a key canopy structural characteristic, a measure of photosynthetic capacity, and an important input into many terrestrial process models. Although many studies have examined SLA variation, relatively few data exist from high latitude, climate-sensitive permafrost regions. We measured SLA and soil and topographic properties across a boreal forest permafrost transition, in which forest composition changed as permafrost deepened from 54 to >150 cm over 75 m hillslope transects in Caribou-Poker Creeks Research Watershed, Alaska. This is an exploratory study to begin understanding SLA variation and controls thereof in a non-contiguous permafrost system.
Carbon Dynamics Along a Permafrost Gradient at Caribou-Poker Creeks Research Watershed (CPCRW) in Interior Alaska: GPS coordinates for a 75x75m spatial domain along a permafrost and vegetation gradient.
This dataset includes GPS coordinates and elevation data across a 75x75m spatial domain in the Caribou-Poker Creeks Research Watershed. Project summary: Specific leaf area (SLA, leaf area per unit dry mass) is a key canopy structural characteristic, a measure of photosynthetic capacity, and an important input into many terrestrial process models. Although many studies have examined SLA variation, relatively few data exist from high latitude, climate-sensitive permafrost regions. We measured SLA and soil and topographic properties across a boreal forest permafrost transition, in which forest composition changed as permafrost deepened from 54 to >150 cm over 75 m hillslope transects in Caribou-Poker Creeks Research Watershed, Alaska. This is an exploratory study to begin understanding SLA variation and controls thereof in a non-contiguous permafrost system.
Annual seasonality trends of Normalized Difference Vegetation Index (NDVI), Maricopa County, Arizona, 2001-2018
Description: A dataset with 18 years (2001-2018) of consistent, spatial and temporal patterns of Normalized Difference Vegetation Index (NDVI) values in Maricopa County AZ Abstract: This dataset consists of 18 years (2001-2018) of consistent, spatial, and temporal patterns of vegetation indices, as expressed by the Normalized Difference Vegetation Index (NDVI), in Maricopa County, AZ. I download and process images, at 250m resolution, from the Moderate Resolution Imaging Spectroradiometer (MODIS). MODIS uses the atmospherically-corrected reflectance in the red, near-infrared, and blue wavebands to calculate vegetation indices. In the last decades, vegetation indices have been widely used for monitoring the seasonal variation of vegetation, document vegetation structure, productivity, overall health, and land cover changes and measure vegetation productivity in desert landscapes. NDVI is also of high interest to investigate the potential distribution of plant and animal species and to investigate the effect of climate change on vegetation productivity. MODIS data were obtained from https://lpdaac.usgs.gov, maintained by the NASA EOSDIS Land Processes Distributed Active Archive Center (LP DAAC) at the USGS Earth Resources Observation and Science (EROS) Center, Sioux Falls, South Dakota. Spatial Extent: Maricopa County, AZ, USA.
Annual seasonality trends of Enhanced Vegetation Index (EVI), Maricopa County, Arizona, 2001-2018
Description: A dataset with 18 years (2001-2018) of consistent, spatial and temporal patterns of enhanced vegetation index (EVI) values in Maricopa County AZ Abstract: This dataset consists of 18 years (2001-2018) of consistent, spatial, and temporal patterns of vegetation indices, as expressed by the enhanced vegetation index (EVI), in Maricopa County, AZ. I download and process images, at 250m resolution, from the Moderate Resolution Imaging Spectroradiometer (MODIS). MODIS uses the atmospherically-corrected reflectance in the red, near-infrared, and blue wavebands to calculate vegetation indices. In the last decades, vegetation indices have been widely used for monitoring the seasonal variation of vegetation, document vegetation structure, productivity, overall health, and land cover changes and measure vegetation productivity in desert landscapes. EVI is also of high interest to investigate the potential distribution of plant and animal species and to investigate the effect of climate change on vegetation productivity. MODIS data were obtained from https://lpdaac.usgs.gov, maintained by the NASA EOSDIS Land Processes Distributed Active Archive Center (LP DAAC) at the USGS Earth Resources Observation and Science (EROS) Center, Sioux Falls, South Dakota. Spatial Extent: Maricopa County, AZ, USA.
Vegetation influences desert soil arthropods and their response to altered precipitation
Altered size and frequency of precipitation pulses will influence both plant and soil communities in water-limited systems such as the Sonoran Desert. Little is known about the response of desert soil fauna communities, particularly the mesofauna that are important components of the detrital food web. Further, while there is a well-documented impact of vegetation on soil fauna communities, the role of vegetation in buffering the soil community against such environmental changes is unclear. We conducted a short-term field study to (1) assess how the amount and frequency of monsoon season precipitation pulses influence soil arthropod communities and (2) explore the role of plant-soil linkages in the response of soil arthropod communities to altered precipitation. We experimentally altered the size (ambient and 50% increase) and frequency (ambient and 2X reduced frequency) of monsoon season precipitation for two dominant shrubs representing distinctly different functional types, as well as interplant spaces. We measured the resulting soil arthropod abundance, diversity, and composition, as well as key soil properties to characterize the soil habitat beneath each vegetation type.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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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.