Spatial data of California riparian vegetation productivity trends over time (2000-2020) and environmental covariates
Dates
Publication Date
2023-06-20
Start Date
2000-06-01
Citation
Villarreal, M.L., Conrad, C.R., Selmants, P., and Wilson, T.S., 2023, Spatial data of California riparian vegetation productivity trends over time (2000-2020) and environmental covariates: U.S. Geological Survey data release, https://doi.org/10.5066/P9PT6DYC
Summary
This data release contains a shapefile of riparian vegetation communities attributed with information on trends in satellite-estimates of vegetation productivity for the period from 2000-2020. Cloud-masked Landsat data were processed from 2000 to 2020 to generate a 21-year growing season (June, July, and August) time series combining data from Landsat 5 (2000-2011), Landsat 7 (2012), and Landsat 8 (2013-2020). We computed the near-infrared reflectance of vegetation (NIRv) which is strongly correlated to vegetation Gross Primary Productivity (GPP). We analyzed growing season time series trends in NIRv by riparian vegetation type at the polygon-level using the Theil-Sen estimator (aka Sen's slope). In addition to the vector dataset is [...]
Summary
This data release contains a shapefile of riparian vegetation communities attributed with information on trends in satellite-estimates of vegetation productivity for the period from 2000-2020. Cloud-masked Landsat data were processed from 2000 to 2020 to generate a 21-year growing season (June, July, and August) time series combining data from Landsat 5 (2000-2011), Landsat 7 (2012), and Landsat 8 (2013-2020). We computed the near-infrared reflectance of vegetation (NIRv) which is strongly correlated to vegetation Gross Primary Productivity (GPP). We analyzed growing season time series trends in NIRv by riparian vegetation type at the polygon-level using the Theil-Sen estimator (aka Sen's slope). In addition to the vector dataset is a table containing climate, topographic and land use co-variates used to model the environmental drivers of riparian vegetation change.
Selmants, P.C., Conrad, C.R., Wilson, T.S., and Villarreal, M.L., 2023, Resilience of riparian vegetation productivity to early 21st century drought in northern California, USA: Ecosphere, v. 14, no. 8, https://doi.org/10.1002/ecs2.4638.
Drought and intensive land use can interact as stressors on riparian vegetation, especially along rivers flowing through seasonally dry landscapes. Knowledge of past riparian vegetation response to drought and land use change can provide land managers with a better understanding of changes induced by upstream management actions, climate change and chronic stressors. To investigate the response of riparian vegetation productivity to drought and land use, we developed a 21-year time series (2000-2020) of growing season vegetation dynamics using near-infrared reflectance of vegetation (NIRV) derived from satellite data across 30 HUC 8 watershed subbasins that drain into the San Francisco Bay Delta from the Central Valley of California, USA.
