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Filters: Tags: chaparral (X) > Extensions: Shapefile (X)

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This dataset contains data pertaining to ground surface cover in 30 meter plots around a random selection of points within chaparral from Santa Barbara county south to San Diego County in southern California, USA. These data were obtained from historical aerial imagery from 1943 to 1959 and current imagery from 2016 to 2018 and they were compared to quantify changes in cover type over time. These data support the following publication: Syphard, A.D., Brennan, T.J., Rustigian‐Romsos, H. and Keeley, J.E., 2022. Fire‐driven vegetation type conversion in southern California. Ecological Applications, p.e2626. https://doi.org/10.1002/eap.2626.
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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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This dataset contains data pertaining to vegetation type, woody versus herbaceous versus non-vegetated, for a random selection of points within the Santa Monica Mountains National Recreation Area of Southern California. These data were obtained from aerial imagery for the years 1947, 1977, 1995, 2005, and 2014 and were used to determine changes in cover type over time. These data support the following publication: Syphard, A.D., Brennan, T.J. and Keeley, J.E., 2018. Drivers of chaparral type conversion to herbaceous vegetation in coastal Southern California. Diversity and Distributions. https://doi.org/10.1111/ddi.12827
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This dataset contains data pertaining to chaparral vegetation dieback based on the difference or change in the Normalized Difference Vegetation Index (NDVI) prior to and 6 years into an extensive drought before the 2017 Thomas and 2018 Woolsey Fires in southern California. The difference in mean NDVI is provided for 9322 study plots as are values for a number of physical and climatological variables and burn severity following the two fires. These data support the following publication: Keeley, J.E., Brennan-Kane, T.J., and Syphard, A.D., 2022. The effects of prolonged drought on vegetation dieback and megafires in southern California chaparral. Ecosphere, 13(8), e4203. https://doi.org/10.1002/ecs2.4203.
    map background search result map search result map Chaparral Type Conversion into Herbaceous Vegetation in Coastal Southern California from 1947 to 2014, Data Compiled from Aerial Imagery, Geographic NAD83 (2017) Vegetation type conversion in chaparral in San Diego County, California, USA between 1953 and 2016 The Effect of Prolonged Drought on Chaparral Dieback within the Perimeters of the Thomas and Woolsey Fires in Southern California, USA Vegetation Type Conversion in Southern California Between 1943 and 2018 Chaparral Type Conversion into Herbaceous Vegetation in Coastal Southern California from 1947 to 2014, Data Compiled from Aerial Imagery, Geographic NAD83 (2017) The Effect of Prolonged Drought on Chaparral Dieback within the Perimeters of the Thomas and Woolsey Fires in Southern California, USA Vegetation type conversion in chaparral in San Diego County, California, USA between 1953 and 2016 Vegetation Type Conversion in Southern California Between 1943 and 2018