B090-04
Fine-scale spatial heterogeneity of drought-induced mortality in tropical dry forests

Monday, 14 December 2020: 20:42
Virtual
Donghai Wu1, German Vargas G.2, Jennifer S Powers3, Nathan McDowell4, Justin Becknell5, Daniel Perez-Aviles6, David Medvigy7 and Xiangtao Xu1, (1)Cornell University, Ecology and Evolutionary Biology, Ithaca, NY, United States, (2)University of Minnesota, Plant and Microbial Biology, St. Paul, MN, United States, (3)University of Minnesota, College of Biological Sciences, Saint Paul, MN, United States, (4)Pacific Northwest National Laboratory, Richland, WA, United States, (5)Colby College, Waterville, ME, United States, (6)University of Minnesota, Ecology, Evolution and Behavior, St. Paul, MN, United States, (7)University of Notre Dame, Biological Sciences, Notre Dame, IN, United States
Abstract:
Increasing extreme drought events have greatly enhanced global forest mortality risks in last decades. Multiple biotic and abiotic factors can interact to generate heterogenous mortality patterns during the same drought, especially in the diverse tropical forests. However, characterizing high-resolution mortality heterogeneity is still a challenge beyond field plot scale. Here, we integrated plot scale mortality observations and remotely sensed ecosystem resilience to generate fine resolution (i.e. 30m*30m) mortality maps for tropical dry forests in Costa Rica during the 2015 ENSO drought. Local water stress, forest composition, and topography all contributed to the spatial heterogeneity with varying relative importance across landscapes. Furthermore, we found that reduced ecosystem resilience can provide robust post-drought diagnosis of mortality but little early warning signals in our study region. These findings demonstrate fine-scale variations in ecosystem resistance to drought and the large potential of high resolution remote sensing time series to monitor forest mortality. Furthermore, we aim to apply our established methods to generate fine resolution mortality maps in Amazon forest, and we hope that we could tell this story by December.