Forest drought response index (Fordri): A new combined model to monitor forest drought in the eastern united states

Tsegaye Tadesse, David Y. Hollinger, Yared A. Bayissa, Mark Svoboda, Brian Fuchs, Beichen Zhang, Getachew Demissie, Brian D. Wardlow, Gil Bohrer, Kenneth L. Clark, Ankur R. Desai, Lianhong Gu, Asko Noormets, Kimberly A. Novick, Andrew D. Richardson

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Monitoring drought impacts in forest ecosystems is a complex process because forest ecosystems are composed of different species with heterogeneous structural compositions. Even though forest drought status is a key control on the carbon cycle, very few indices exist to monitor and predict forest drought stress. The Forest Drought Indicator (ForDRI) is a new monitoring tool developed by the National Drought Mitigation Center (NDMC) to identify forest drought stress. ForDRI integrates 12 types of data, including satellite, climate, evaporative demand, ground water, and soil moisture, into a single hybrid index to estimate tree stress. The model uses Principal Component Analysis (PCA) to determine the contribution of each input variable based on its covariance in the historical records (2003–2017). A 15-year time series of 780 ForDRI maps at a weekly interval were produced. The ForDRI values at a 12.5km spatial resolution were compared with normalized weekly Bowen ratio data, a biophysically based indicator of stress, from nine AmeriFlux sites. There were strong and significant correlations between Bowen ratio data and ForDRI at sites that had experienced intense drought. In addition, tree ring annual increment data at eight sites in four eastern U.S. national parks were compared with ForDRI values at the corresponding sites. The correlation between ForDRI and tree ring increments at the selected eight sites during the summer season ranged between 0.46 and 0.75. Generally, the correlation between the ForDRI and normalized Bowen ratio or tree ring increment are reasonably good and indicate the usefulness of the ForDRI model for estimating drought stress and providing decision support on forest drought management.

Original languageEnglish
Article number3605
Pages (from-to)1-22
Number of pages22
JournalRemote Sensing
Volume12
Issue number21
DOIs
StatePublished - Nov 1 2020

Funding

Funding: This research was funded by USDA Cooperative Agreement, Federal Award Identification Number 58-0111-16-013. Acknowledgments: The authors would like to thank the USDA, U.S. Forest Service, NASA, and USGS for providing satellite and model products, and the Department of Energy AmeriFlux Network Management Project for support of US-WCr, US-Syv, US-Ho1, US-NC2, US-MMF, and US-UMB. Research at US-Ho1, US-Bar, and US-Slt is supported by the USDA Forest Service’s Northern Research Station. The authors also thank Deborah Wood of the NDMC for her editorial comments.

FundersFunder number
Department of Energy AmeriFlux
US-MMF
US-UMB
USDA Forest Service’s Northern Research Station
National Aeronautics and Space Administration
U.S. Department of Agriculture58-0111-16-013
U.S. Geological Survey
U.S. Forest Service

    Keywords

    • Bowen ratio
    • Carbon flux
    • Drought
    • Forest monitoring
    • Time series satellite data

    Fingerprint

    Dive into the research topics of 'Forest drought response index (Fordri): A new combined model to monitor forest drought in the eastern united states'. Together they form a unique fingerprint.

    Cite this