2019
DOI: 10.1016/j.foreco.2018.10.034
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Comparing the efficacy of various aerial spraying scenarios using Bacillus thuringiensis to protect trees from spruce budworm defoliation

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Cited by 20 publications
(24 citation statements)
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“…These sociopolitical dynamics can be difficult to quantify, but are nonetheless a key determinant of whether an EIS program can work. In Foliage Protection these issues tend to be less prominent as the majority of treatments take place on Crown Lands [11]. In contrast, an area-wide management program such as EIS aims to control all areas with hotspots and thus must account for the values of a diverse range of affected stakeholders.…”
Section: Sociopoliticalmentioning
confidence: 99%
“…These sociopolitical dynamics can be difficult to quantify, but are nonetheless a key determinant of whether an EIS program can work. In Foliage Protection these issues tend to be less prominent as the majority of treatments take place on Crown Lands [11]. In contrast, an area-wide management program such as EIS aims to control all areas with hotspots and thus must account for the values of a diverse range of affected stakeholders.…”
Section: Sociopoliticalmentioning
confidence: 99%
“…Fuentealba et al. () suggested that RPC could be used to better estimate the effects of damage by SBW than the measures of defoliation used in short‐term studies because RPC is less sensitive to fluctuations in SBW population (Hardy and Dorais ). We did not observe a direct relationship between AD and NEP; however, there was a clear inverse relationship between AD DS1 and NEP DS1 for all forest types early (Table ).…”
Section: Discussionmentioning
confidence: 99%
“…The delayed effects of spray on defoliation, carbon fluxes, or stocks, 1–3 yr (i.e., the period for which foliage protection is considered efficacious, Fuentealba et al. ) after the application, were compared to the immediate effect numerically by calculating the delayed effect X DS n on variable X as follows Eq. 3: XDSn=i=1pfalse(Xfalse¯normalDSi0.166667emnormalsprayXfalse¯normalDSi0.166667emnormalno0.166667emnormalsprayfalse)n>0false(Xfalse¯normalDSi0.166667emnormalsprayXfalse¯normalDSi0.166667emnormalno0.166667emnormalsprayfalse)n=1/p where X is AD, carbon fluxes, or stocks (e.g., GPP, NEP, and aboveground biomass).…”
Section: Methodsmentioning
confidence: 99%
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