2012
DOI: 10.1111/j.1600-0587.2011.07329.x
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Phenological Predictability Index in BRAHMS: a tool for herbarium‐based phenological studies

Abstract: Phenological Predictability Index (PPI) is a tool for analysing phenological patterns incorporating herbarium data within BRAHMS (Botanical Research and Herbarium Management System). PPI produces a maximum‐activity period and associated event predictability index between ∼0 and 1. Simple, monthly random sampling showed the ideal number of unique records (event/month/year) is > 50. PPI correctly predicted the maximum‐activity flowering month for seven out of eight species studied in the field, and was positivel… Show more

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Cited by 11 publications
(14 citation statements)
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“…In addition, one may infer geographic patterns and build phylogeographic models that can offer key insights on the future distribution of endangered and rare species. We can further use herbarium records to identify "phenospecies" (Proença et al, 2012), which can be investigated for shifts in reproductive schedules over time (Borchert, 1998;Primack, 2014;Rivera and Borchert, 2001).…”
Section: Long-term Phenological Databasesmentioning
confidence: 99%
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“…In addition, one may infer geographic patterns and build phylogeographic models that can offer key insights on the future distribution of endangered and rare species. We can further use herbarium records to identify "phenospecies" (Proença et al, 2012), which can be investigated for shifts in reproductive schedules over time (Borchert, 1998;Primack, 2014;Rivera and Borchert, 2001).…”
Section: Long-term Phenological Databasesmentioning
confidence: 99%
“…Remote sensing phenology is highlighted along with the few phenology global networks (Pereira et al, 2013). We also advocate developing other data platforms, especially citizen-science initiatives (Theobald et al, 2015), a denser network of local direct observations, and herbarium data (Lavoie and Lachance, 2006;Proença et al, 2012). Those data sources will provide invaluable information to validate remote sensing global patterns and improve biodiversity management and conservation.…”
Section: Conclusion: Promising Avenues For Future Research Linking Pmentioning
confidence: 99%
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“…Geographic variation in phenology related to, for example, flowering and fruiting can be gleaned from specimen labels or specimens themselves (Proença et al, 2012). Here we show how the flowering phenology of A. sieberiana varies across its range (Fig.…”
Section: Resultsmentioning
confidence: 99%
“…Maidment et al 2017, IPCC 2013. Collaboration with modelers on research design and analytical tools will permit the inclusion of new explanatory parameters in phenology research, such as the 'phenospecies' concept (Proenc ßa et al 2012) or indicator species for the behavior of larger groups (Siddig et al 2016).…”
mentioning
confidence: 99%