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Vegetation and land cover of Blue Ridge National Wildlife Refuge, circa 2011. This dataset is based on interpretation of aerial imagery from the National Agricultural Imagery Program from 2010. Image classification was performed using eCognition software, which creates homogeneous polygons from the imagery. Image statistics such as texture, NDVI and spectral values were then calculated for each polygon used to classify the imagery. Field data was collected in August, 2011 to assist in the image interpretation. No additional field data were collected for validation, and no validation or accuracy assessment was completed for this dataset. Therefore, no estimates of accuracy are given.
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All plant species were identified down to finest taxa when possible. Each plant code used in the survey data is paired to a plant code on this species list which provides the full scientific name of each species, the plant family the species belongs to, the native or non-native status of species, and the life history of the plant. Plant nomenclature follows: Baldwin B.G., D.H. Goldman, D.J. Keil, R. Patterson, T.J. Rosatti, and D.H. Wilken, editors. 2012. The Jepson Manual: vascular plants of California. Second edition. University of California Press, Berkeley, USA.
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Physical site characteristics including aspect, elevation, and slope were recorded for each study plot and spatial coordinates were obtained from a global positioning system. Stand height was determined by averaging the heights of the first live woody individual encountered along each 10 m subplot in mechanically masticated plots as well as in the adjacent controls. Unfortunately height data was not collected from postfire plots in the prior study. The age of the stand prior to each mechanical disturbance was obtained from stem samples collected from the first two obligate seeding individuals encountered within controls and ranged from seven to sixty-four years across all mechanically masticated fuel treatments....
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This dataset contains data pertaining to ground surface cover in a 30 meter radius around a random selection of points within San Diego County, California. These data were obtained from aerial imagery for the years 1953 and 2016 and were used to assess changes in cover type over time. These data support the following publication: Syphard, A.D., Brennan, T.J. and Keeley, J.E., 2019. Extent and drivers of vegetation type conversion in Southern California chaparral. Ecosphere, 10(7), p.e02796.
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Synopsis: The goal of this study was to examine contaminant loadings associated with stormwater runoff from recently burned areas in urban fringe areas of southern California, to derive regional patterns of runoff and contaminant loadings in this context. Postfire stormwater runoff was sampled from five wildfires that each burned between 115 and 658 km2 of natural open space between 2003 and 2009. The area is characterized by classic Mediterranean climate conditions of relatively mild to cool wet winter and warm to hot dry summers. Between two and five storm events were sampled per site over the first one to two years following the fires for basic constituents, metals, nutrients, total suspended solids, and polycyclic...
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Accurate, complete fuels data are critical for making fuel management decisions and for predicting fire behavior and fire effects. A fuel photo series is a useful reference that allows natural resource managers to quickly quantify fuel and vegetation properties by comparing on site conditions to a series of photos showing a range of calculated fuel loads within a similar vegetative community. While there are photo series available for a wide range of ecosystem types nationwide, this type of information is lacking for natural and mechanically treated chaparral. The most likely reason for this information gap is the difficulty in collecting and photographing fuels in these dense fuel types. The attached PDF document...
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Synopsis: This study examines the influence of landscape fragmentation on trophic cascades in southern California. Results indicate that, as habitat fragmentation negatively affects the persistence of coyote populations, the abundance of smaller meso-predators increase, resulting in higher mortality rates in scrub-breeding birds. Fragment size was a strong indicator of coyote abundance, and coyote abundance was a strong indicator of bird diversity, as coyotes kept down the number of meso-predators that prey on birds. The positive effect of fragment area and the negative effect of fragment age were the strongest determinants of bird diversity in this system. Conclusions: Fragment size correlates with coyote abundance,...
Accurate, complete fuels data are critical for making fuel management decisions and for predicting fire behavior and fire effects. A fuel photo series is a useful reference that allows natural resource managers to quickly quantify fuel and vegetation properties by comparing on site conditions to a series of photos showing a range of calculated fuel loads within a similar vegetative community. While there are photo series available for a wide range of ecosystem types nationwide, this type of information is lacking for natural and mechanically treated chaparral. The most likely reason for this information gap is the difficulty in collecting and photographing fuels in these dense fuel types.
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The sampling design at each of the 149 mechanically masticated fuel treatment study sites consisted of a 10 x 100 m plot established within the treated area at the random point generated in ArcGIS and an adjacent 10 x 100 m control plot placed one meter inside the edge of untreated vegetation to avoid edge affects. Each study plot was further subdivided into 10 100-m2 subplots with a nested 1-m2 quadrat placed along the top edge of the measurement tape. Postfire study sites consisted of a 20 x 50 m plot that was equal in area to a fuel treatment study plot and was also further subdivided into 10 100-m2 subplots with a nested 1-m2 quadrat placed along the outer top and bottom edges of the plot. Cover and density...
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Land cover/vegetation data produced for the Hopper Mountain NWR complex Comprehensive Conservation Plan in 2011. Process steps include the following: Aerial photography from the National Agricultural Imagery Program (NAIP) was acquired in 2010 and was used as the base for image classification. The NAIP image was clipped to a buffered area around the refuge and then segmented at multiple scales to divide the imagery into thousands of homogenous polygons. Statistics were then calculated for each segmented piece of imagery and classes were created based on these image statistics. Statistics included image spectral values for each of the four NAIP bands, the Normalized Difference Vegetation Index, and several texture-based...


map background search result map search result map Stormwater contaminant loading following southern California wildfires Mesopredator release and avifaunal extinctions in a fragmented system. Vegetation and Land Cover, Blue Ridge National Wildlife Refuge Vegetation and Land Cover, Hopper Mountain National Wildlife Refuge Southwest U.S. Mechanically Treated Chaparral Photo Series Southwest U.S. Mechanically Treated Chaparral Photo Series Site Data Species List Survey Data Vegetation type conversion in chaparral in San Diego County, California, USA between 1953 and 2016 Vegetation and Land Cover, Blue Ridge National Wildlife Refuge Vegetation and Land Cover, Hopper Mountain National Wildlife Refuge Vegetation type conversion in chaparral in San Diego County, California, USA between 1953 and 2016 Southwest U.S. Mechanically Treated Chaparral Photo Series Southwest U.S. Mechanically Treated Chaparral Photo Series Site Data Species List Survey Data Stormwater contaminant loading following southern California wildfires Mesopredator release and avifaunal extinctions in a fragmented system.