Seeing the Disturbed Forest for the Trees: Remote Sensing Is Underutilized to Quantify Critical Zone Response to Unprecedented Disturbance

Author:

Hwang Kyotaek1ORCID,Harpold Adrian A.2ORCID,Tague Christina L.3ORCID,Lowman Lauren4ORCID,Boisramé Gabrielle F. S.5ORCID,Lininger Katherine B.6ORCID,Sullivan Pamela L.7ORCID,Manning Aidan8ORCID,Graup Louis3ORCID,Litvak Marcy9ORCID,Lewis Gabriel2ORCID,Miller Kate2,Brooks Paul D.10ORCID,Barnard Holly R.16ORCID

Affiliation:

1. Institute of Arctic and Alpine Research University of Colorado Boulder Boulder CO USA

2. Department of Natural Resources and Environmental Science University of Nevada, Reno Reno NV USA

3. Bren School of Environmental Science and Management University of California, Santa Barbara Santa Barbara CA USA

4. Department of Engineering Wake Forest University Winston‐Salem NC USA

5. Division of Hydrologic Sciences Desert Research Institute Las Vegas NV USA

6. Department of Geography University of Colorado Boulder Boulder CO USA

7. College of Earth, Ocean and Atmospheric Science Oregon State University Corvallis OR USA

8. Graduate Program of Hydrologic Sciences University of Nevada, Reno Reno NV USA

9. Department of Biology University of New Mexico Albuquerque NM USA

10. Department of Geology and Geophysics University of Utah Salt Lake City UT USA

Abstract

AbstractUnderstanding the severity and extent of near surface critical zone (CZ) disturbances and their ecosystem response is a pressing concern in the face of increasing human and natural disturbances. Predicting disturbance severity and recovery in a changing climate requires comprehensive understanding of ecosystem feedbacks among vegetation and the surrounding environment, including climate, hydrology, geomorphology, and biogeochemistry. Field surveys and satellite remote sensing have limited ability to effectively capture the spatial and temporal variability of disturbance and CZ properties. Technological advances in remote sensing using new sensors and new platforms have improved observations of changes in vegetation canopy structure and productivity; however, integrating measures of forest disturbance from various sensing platforms is complex. By connecting the potential for remote sensing technologies to observe different CZ disturbance vectors, we show that lower severity disturbance and slower vegetation recovery are more difficult to quantify. Case studies in montane forests from the western United States highlight new opportunities, including evaluating post‐disturbance forest recovery at multiple scales, shedding light on understory vegetation regrowth, detecting specific physiological responses, and refining ecohydrological modeling. Learning from regional CZ disturbance case studies, we propose future directions to synthesize fragmented findings with (a) new data analysis using new or existing sensors, (b) data fusion across multiple sensors and platforms, (c) increasing the value of ground‐based observations, (d) disturbance modeling, and (e) synthesis to improve understanding of disturbance.

Funder

National Science Foundation

Publisher

American Geophysical Union (AGU)

Subject

Earth and Planetary Sciences (miscellaneous),General Environmental Science

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