Phenological Predictability Index in BRAHMS: a tool for herbarium-based phenological studies

Autor: Eddie Lenza, Stephen A. Harris, Denis Filer, Carolyn Elinore Barnes Proença, Juliana S. Silva
Rok vydání: 2012
Předmět:
Zdroj: Ecography. 35:289-293
ISSN: 0906-7590
DOI: 10.1111/j.1600-0587.2011.07329.x
Popis: 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 positively correlated (R 2= 0.610, p = 0.02) with phenophase length, even using suboptimum numbers of unique records. © 2011 The Authors.
Databáze: OpenAIRE