Estimating carbon and showing impacts of drought using satellite data in regression-tree models
Links
- More information: Publisher Index Page (via DOI)
- Data Release: USGS data release Mapping average GPP, RE, and NEP for 2000 to 2013 using satellite data integrated into regression-tree models in the conterminous United States
- Download citation as: RIS | Dublin Core
Abstract
Integrating spatially explicit biogeophysical and remotely sensed data into regression-tree models enables the spatial extrapolation of training data over large geographic spaces, allowing a better understanding of broad-scale ecosystem processes. The current study presents annual gross primary production (GPP) and annual ecosystem respiration (RE) for 2000–2013 in several short-statured vegetation types using carbon flux data from towers that are located strategically across the conterminous United States (CONUS). We calculate carbon fluxes (annual net ecosystem production [NEP]) for each year in our study period, which includes 2012 when drought and higher-than-normal temperatures influence vegetation productivity in large parts of the study area. We present and analyse carbon flux dynamics in the CONUS to better understand how drought affects GPP, RE, and NEP. Model accuracy metrics show strong correlation coefficients (r) (r ≥ 94%) between training and estimated data for both GPP and RE. Overall, average annual GPP, RE, and NEP are relatively constant throughout the study period except during 2012 when almost 60% less carbon is sequestered than normal. These results allow us to conclude that this modelling method effectively estimates carbon dynamics through time and allows the exploration of impacts of meteorological anomalies and vegetation types on carbon dynamics.
Study Area
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Estimating carbon and showing impacts of drought using satellite data in regression-tree models |
| Series title | International Journal of Remote Sensing |
| DOI | 10.1080/01431161.2017.1384592 |
| Volume | 39 |
| Issue | 2 |
| Year Published | 2018 |
| Language | English |
| Publisher | Taylor & Francis |
| Contributing office(s) | Earth Resources Observation and Science (EROS) Center |
| Description | 25 p.; Data release |
| First page | 374 |
| Last page | 398 |
| Country | United States |
| Google Analytic Metrics | Metrics page |