Abstract
Effective forest management, particularly during forest disturbance events, requires timely and accurate monitoring information at appropriate spatial scales. In Hawai‘i, widespread ‘ōhi‘a (Metrosideros polymorpha Gaud.) mortality associated with introduced fungal pathogens affects forest stands across the archipelago, further impacting native ecosystems already under threat from invasive species. Here, we share results from an integrated monitoring program based on high resolution (<5 cm) aerial imagery, field sampling, and confirmatory laboratory testing to detect and monitor ‘ōhi‘a mortality at the individual tree level across four representative sites on Hawai‘i island. We developed a custom imaging system for helicopter operations to map thousands of hectares (ha) per flight, a more useful scale than the ten to hundreds of ha typically covered using small, unoccupied aerial systems. Based on collected imagery, we developed a rating system of canopy condition to identify ‘ōhi‘a trees suspected of infection by the fungal pathogens responsible for rapid ‘ōhi‘a death (ROD); we used this system to quickly generate and share suspect tree candidate locations with partner agencies to rapidly detect new mortality outbreaks and prioritize field sampling efforts. In three of the four sites, 98% of laboratory samples collected from suspect trees assigned a high confidence rating (n = 50) and 89% of those assigned a medium confidence rating (n = 117) returned positive detections for the fungal pathogens responsible for ROD. The fourth site, which has a history of unexplained ‘ōhi‘a mortality, exhibited much lower positive detection rates: only 6% of sampled trees assigned a high confidence rating (n = 16) and 0% of the sampled suspect trees assigned a medium confidence rating (n = 20) were found to be positive for the pathogen. The disparity in positive detection rates across study sites illustrates challenges to definitively determine the cause of ‘ōhi‘a mortality from aerial imagery alone. Spatial patterns of ROD-associated ‘ōhi‘a mortality were strongly affected by ungulate presence or absence as measured by the density of suspected ROD trees in fenced (i.e., ungulate-free) and unfenced (i.e., ungulate present) areas. Suspected ROD tree densities in neighboring areas containing ungulates were two to 69 times greater than those found in ungulate-free zones. In one study site, a fence line breach occurred during the study period, and feral ungulates entered an area that was previously ungulate-free. Following the breach, suspect ROD tree densities in this area rose from 0.02 to 2.78 suspect trees/ha, highlighting the need for ungulate control to protect ‘ōhi‘a stands from Ceratocystis-induced mortality and repeat monitoring to detect forest changes and resource threats.
Highlights
Land managers, perennially faced with difficult choices, need to make informed decisions regarding deployment of limited resources, access rights for public and livestock, and long-term strategies relating to climate change, development pressures, invasive species, and other issues [1,2,3,4]
Following discovery of the initial infected tree in 2016, the number of suspect trees within the small unmanned aerial systems (sUAS)-monitored area remained very low and relatively stable until late 2019, at which point there was an increase in the number of trees expressing characteristic symptoms and positive laboratory samples; five trees were confirmed as infected with C. lukuohia in 2019
Samples collected from May 2020 helicopter surveys (n = 99) returned C. lukuohia detection rates of 88% and 100%, respectively, for a subset of medium and high confidence trees, while 46% of the samples collected from low confidence trees tested positive for C. lukuohia (Table 2)
Summary
Perennially faced with difficult choices, need to make informed decisions regarding deployment of limited resources, access rights for public and livestock, and long-term strategies relating to climate change, development pressures, invasive species, and other issues [1,2,3,4]. We present results from an integrated method to monitor and test forest health at the individual-tree level in regions of interest on Hawai‘i island which experienced widespread native forest declines since 2010 associated with ‘ohi‘a (Metrosideros polymorpha Gaudich.) mortality characterized as rapid ‘ohi‘a death [14,15]. This approach included multi-platform remote sensing in conjunction with field sampling and confirmatory laboratory testing to characterize new ROD outbreaks and illustrate the importance of fencing, feral ungulate removal, and felling of infected trees in suppressing ‘ohi‘a mortality levels across affected regions
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