@article{70f17a6988ca4d3ab14b1954d9a92b5a,
title = "Bioclimatological mapping tackling uncertainty propagation: Application to mainland Portugal",
abstract = "We present a bioclimatological diagnosis of mainland Portugal, namely the thermotype and ombrotype maps following Rivas-Mart{\'i}nez's worldwide bioclimatic classification system. In order to obtain this diagnosis, we produced maps of bioclimatological indices using, as base data, geostatistical interpolations of air temperature and precipitation. We performed uncertainty propagation obtaining uncertainty measures for the produced maps: mean absolute errors and root mean squared errors. For the non-linear indices, besides the usual approximation using Taylor expansion, we devised error formulae, for which we showed that the propagated uncertainties are upper bounds on the true uncertainty measures. We compared the obtained uncertainty measures to those reported on a previously published work, which used a different methodological framework to obtain the same diagnosis. Although the approach we used here implies a great number of interpolations and subsequent calculation steps, it permitted the use of a large amount of data relative to precipitation. An F-test showed that the estimated mean squared errors for the maps of ombrothermic indices were significantly lower than those produced by the former methodological framework.",
keywords = "Bioclimatological mapping, Bioclimatology, Error propagation, Map algebra, Mean absolute error, Portugal, Root mean squared error",
author = "Tiago Monteiro-Henriques and Martins, {M. J.} and Cerdeira, {J. O.} and Silva, {Pedro Cristiano} and Pedro Ars{\'e}nio and Silva, {{\'A}lvaro M.} and Annalisa Bellu and Costa, {Jos{\'e} Carlos}",
note = "We would like to thank: Rita Nicolau for the support given, particularly in the access to the base data used in this research; Felicity Anne Rowe for the English revision; and three anonymous reviewers for their suggestions, which helped us to improve the manuscript. For this work, Monteiro-Henriques was financially supported mostly by a doctoral grant of Fundacao para a Ciencia e a Tecnologia (SFRH/BD/12356/2003) within Programa Operacional Ciencia e Inovacao 2010, III Quadro Comunitario de Apoio - Formacao Avancada para a Ciencia - Medida IV.3, and partially by a post-doctoral grant within Project SUSTAINSYS: Environmental Sustainable Agro-Forestry Systems - NORTE-07-0124-FEDER-0000044 (ON.2-QREN-FEDER and PIDDAC-FCT-MEC). Cerdeira was partially supported by the Portuguese Foundation for Science and Technology through the Center of Mathematics and Applications (CMA) within project UID/MAT/04106/2013. This work was also funded by the Fundacao para a Ciencia e a Tecnologia through the projects: UID/AGR/00239/2013 (Centro de Estudos Florestais) under FEDER/POCI; PTDC/AAC-AMB/113394/2009; and PTDC/AAC-AMB/111349/2009. We dedicate this work to Professor Salvador Rivas-Martinez.",
year = "2016",
month = jan,
day = "1",
doi = "10.1002/joc.4357",
language = "English",
volume = "36",
pages = "400--411",
journal = "International Journal Of Climatology",
issn = "0899-8418",
publisher = "Royal Meteorological Society",
number = "1",
}