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Henrik Balslev

Species Distribution modeling as a tool to unravel determinants of palm distribution in Thailand

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Species Distribution modeling as a tool to unravel determinants of palm distribution in Thailand. / Tovaranonte, Jantrararuk; Barfod, Anders S.; Balslev, Henrik; Overgaard, Anne Blach; Svenning, J.-C.

2011.

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Tovaranonte, Jantrararuk et al. Species Distribution modeling as a tool to unravel determinants of palm distribution in Thailand. Conference abstract for conference, 2011. 1 p.

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@conference{166f4ee571a94d1eb895ddf6d92dd29a,
title = "Species Distribution modeling as a tool to unravel determinants of palm distribution in Thailand",
abstract = "As a consequence of the decimation of the forest cover in Thailand from 50{\%} to ca. 20 {\%} since the 1950ies, it is difficult to gain insight in the drivers behind past, present and future distribution ranges of plant species. Species distribution modeling allows visualization of potential species distribution under specific sets of assumptions. In this study we used maximum entropy to map potential distributions of 103 species of palms for which more than 5 herbarium records exist. Palms constitute key-stone plant group from both an ecological, economical and conservation perspective. The models were built on information extracted from more that 1,900 geo-referenced herbarium vouchers and a number of carefully selected predictor variables (four climatic, five environmental and two spatial variables). The performances of different models were compared using the Receiver Operating Characteristics (ROC) and the Area Under the Curve (AUC). All models performed well with AUC scores above 0.95. The predicted distribution ranges showed high suitability for palms in the southern region of Thailand. It also shows that spatial predictor variables are important in cases where historical processes may explain extant distribution patterns.",
author = "Jantrararuk Tovaranonte and Barfod, {Anders S.} and Henrik Balslev and Overgaard, {Anne Blach} and J.-C. Svenning",
year = "2011",
language = "English",

}

RIS

TY - ABST

T1 - Species Distribution modeling as a tool to unravel determinants of palm distribution in Thailand

AU - Tovaranonte, Jantrararuk

AU - Barfod, Anders S.

AU - Balslev, Henrik

AU - Overgaard, Anne Blach

AU - Svenning, J.-C.

PY - 2011

Y1 - 2011

N2 - As a consequence of the decimation of the forest cover in Thailand from 50% to ca. 20 % since the 1950ies, it is difficult to gain insight in the drivers behind past, present and future distribution ranges of plant species. Species distribution modeling allows visualization of potential species distribution under specific sets of assumptions. In this study we used maximum entropy to map potential distributions of 103 species of palms for which more than 5 herbarium records exist. Palms constitute key-stone plant group from both an ecological, economical and conservation perspective. The models were built on information extracted from more that 1,900 geo-referenced herbarium vouchers and a number of carefully selected predictor variables (four climatic, five environmental and two spatial variables). The performances of different models were compared using the Receiver Operating Characteristics (ROC) and the Area Under the Curve (AUC). All models performed well with AUC scores above 0.95. The predicted distribution ranges showed high suitability for palms in the southern region of Thailand. It also shows that spatial predictor variables are important in cases where historical processes may explain extant distribution patterns.

AB - As a consequence of the decimation of the forest cover in Thailand from 50% to ca. 20 % since the 1950ies, it is difficult to gain insight in the drivers behind past, present and future distribution ranges of plant species. Species distribution modeling allows visualization of potential species distribution under specific sets of assumptions. In this study we used maximum entropy to map potential distributions of 103 species of palms for which more than 5 herbarium records exist. Palms constitute key-stone plant group from both an ecological, economical and conservation perspective. The models were built on information extracted from more that 1,900 geo-referenced herbarium vouchers and a number of carefully selected predictor variables (four climatic, five environmental and two spatial variables). The performances of different models were compared using the Receiver Operating Characteristics (ROC) and the Area Under the Curve (AUC). All models performed well with AUC scores above 0.95. The predicted distribution ranges showed high suitability for palms in the southern region of Thailand. It also shows that spatial predictor variables are important in cases where historical processes may explain extant distribution patterns.

M3 - Conference abstract for conference

ER -