Author(s): Lauren V. Jaramillo; Mark C. Stone; Ryan M. Morrison

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Abstract: We implement a Bayesian Network (BN) approach to understand floodplain vegetation potential for KasheKatuwe Tent Rocks National Monument in the fire-impacted Peralta Canyon Watershed, New Mexico, USA. Using a coupled 2-D hydrologic and BN model, we determine the likelihood of floodplain vegetationrecruitment success for native riparian, non-native riparian, and terrestrial plant species given variousmanagement actions and hydrologic scenarios. This approach allows us to utilize small and incomplete data, incorporate expert knowledge, and explicitly account for uncertainty in the system. Our findings will help land managers and local decision-makers better understand how to improve watershed health and resilience.

DOI:

Year: 2018