2021
DOI: 10.1007/s11355-021-00472-9
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A 15-year study on the relationship between beech (Fagus crenata) reproductive-organ production and the numbers of nuisance Japanese black bears (Ursus thibetanus japonicus) killed in a snowy rural region in central Japan

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Cited by 2 publications
(5 citation statements)
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“…argenteus density in 2016 is unclear, however, masting of beech ( F . crenata ), which was reported in 2015 in central Japan (Ida 2021), likely influenced the rodent population dynamics (Abe et al . 2005).…”
Section: Discussionmentioning
confidence: 99%
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“…argenteus density in 2016 is unclear, however, masting of beech ( F . crenata ), which was reported in 2015 in central Japan (Ida 2021), likely influenced the rodent population dynamics (Abe et al . 2005).…”
Section: Discussionmentioning
confidence: 99%
“…The mass production of S. borealis seeds, which are rich in nutrients (Shimada et al 2019), may have improved the breeding capability of rodents (Wolff 1996). The reason for the relatively high A. argenteus density in 2016 is unclear, however, masting of beech (F. crenata), which was reported in 2015 in central Japan (Ida 2021), likely influenced the rodent population dynamics (Abe et al 2005).…”
Section: Gradual Changes In Environmental Conditionsmentioning
confidence: 99%
“…The expected response of masting to climate change remains unresolved, and MASTREE+ will enable testing of contrasting predictions that masting will be unresponsive to trends in mean temperature (Kelly et al, 2013), or will shift predictably based on climate‐driven changes in resource limitation (Bogdziewicz, 2021). Resolving this uncertainty is a priority because changes in seed masting will impact plant reproductive success, and more widely affect ecosystem services and habitat management (Ida, 2021; Pearse et al, 2021; Touzot et al, 2020).…”
Section: Applications Of Mastree+mentioning
confidence: 99%
“…Many ecologically and economically important species show highly variable investment in reproduction between years, and the ability to accurately forecast occasional years of high seed production is a priority for habitat management, with wide ranging applications (Chiavetta & Marzini, 2021; Pearse et al, 2021; Pukkala et al, 2010). Predictive models of masting developed and tested using MASTREE+ data may enable more effective seed collection for afforestation and restoration schemes (Fargione et al, 2021; Kettle et al, 2010), inform wildlife and conservation management (Choquenot & Ruscoe, 2000; Fujiki, 2018; Ida, 2021; O'Donnell & Hoare, 2012), and enable forecasting of periods of elevated infection risk from tick‐borne disease, which predictably follow years of high seed production in many forest ecosystems (Brugger et al, 2018; Cunze et al, 2018; Heyman et al, 2012; Ostfeld et al, 1996).…”
Section: Applications Of Mastree+mentioning
confidence: 99%
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