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.

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.

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.

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

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

Populations of the chaparral shrub were sampled in southern California and further north in Monterey and Santa Clara counties and it was discovered that postfire regeneration modes were different. The southern California populations had substantial resprouting with some seedling recruitment. The Monterey populations had no resprouting ability and recovery was entirely by seedlings. However, there is an age effect in that when young these northern California populations fail to recruit seedlings due to lack of a seed bank buildup in the short interval since the last fire. These populations likely will be extirpated. I hypothesize that this obligate seeding mode has been selected for because seed reproduction is more reliable when intervals between fires are very long, longer that resprouting shrubs would survive. Support for this is provided by demonstrating substantially higher lightning fire frequencies in southern California than in the Monterey and Santa Clara area.

Populations of the chaparral shrub were sampled in southern California and further north in Monterey and Santa Clara counties and it was discovered that postfire regeneration modes were different. The southern California populations had substantial resprouting with some seedling recruitment. The Monterey populations had no resprouting ability and recovery was entirely by seedlings. However, there is an age effect in that when young these northern California populations fail to recruit seedlings due to lack of a seed bank buildup in the short interval since the last fire. These populations likely will be extirpated. I hypothesize that this obligate seeding mode has been selected for because seed reproduction is more reliable when intervals between fires are very long, longer that resprouting shrubs would survive. Support for this is provided by demonstrating substantially higher lightning fire frequencies in southern California than in the Monterey and Santa Clara area.

This data publication provides plot-based measurements of: stem diameter for each stem > 0.4 centimeters on every sampled shrub, shrub status at time of sampling (live/dead/charred), and estimated shrub height obtained from 5 plots sampled in 2012-2013 on each of three sites (15 total plots) in the Cleveland National Forest. The sites are located near Kitchen Creek Road on southern Laguna Mountain in San Diego County, CA and were characterized by time since last burn -- 7 years, 28 years, or 68 years prior to the study. These data also include stem diameter, biomass, and representative percent moisture values from shrubs harvested outside of the study plots at 18 locations across the three sites. Locations were outside, but near to, the study plots to avoid destructive sampling within the study plots. These data were collected between 2011 and 2013.

This dataset contains photographs of the plots where field vegetation sampling was conducted during the 2022 NASA Surface Biology Geology (SBG) High Frequency Time series (SHIFT) campaign. Sampling occurred at the Jack and Laura Dangermond Preserve, Sedgwick Reserve, and Carpinteria Salt Marsh Reserve, which are located in Santa Barbara County, California, USA. Photographs were taken from 2022-02-23 to 2022-09-18. This project collected field data contemporaneously with weekly flights of Airborne Visible-Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) over the study areas. Related SHIFT data packages contain additional biogeochemical, reflectance, and foliar data.