Modeling the distribution of rare or cryptic bird species of Taiwan

Tsai Yu Wu, Pei Fen Lee, Ruey Shing Lin, Jian Long Wu, Bruno A. Walther

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

For the study of the macroecology and conservation of Taiwan's birds, there was an urgent need to develop distribution models of bird species whose distribution had never before been modeled. Therefore, we here model the distributions of 27 mostly rare and cryptic breeding bird species using a statistical approach which has been shown to be especially reliable for modeling species with a low sample size of presence localities, namely the maximum entropy (Maxent) modeling technique. For this purpose, we began with a dedicated attempt to collate as much high-quality distributional data as possible, assembling databases from several scientific reports, contacting individual data recorders and searching publicly accessible database, the internet and the available literature. This effort resulted in 2022 grid cells of 1 × 1 km size being associated with a presence record for one of the 27 species. These records and 10 pre-selected environmental variables were then used to model each species' probability distribution which we show here with all grid cells below the lowest presence threshold being converted to zeros. We then in detail discuss the interpretation and applicability of these distributions, whereby we pay close attention to habitat requirements, the intactness and fragmentation of their habitat, the general detectability of the species and data reliability. This study is another one in an ongoing series of studies which highlight the usefulness of using large electronic databases and modern analytical methods to help with the monitoring and assessment of Taiwan's bird species.

Original languageEnglish
Pages (from-to)342-358
Number of pages17
JournalTaiwania
Volume57
Issue number4
Publication statusPublished - 2012

Fingerprint

Taiwan
birds
modeling
macroecology
probability distribution
habitat
entropy
data quality
habitat fragmentation
electronics
analytical methods
analytical method
fragmentation
biogeography
distribution
bird species
cells
bird
ecology
environmental factors

Keywords

  • Biogeography
  • Conservation status
  • GIS
  • Rarity
  • Taiwan avifauna

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Ecology

Cite this

Wu, T. Y., Lee, P. F., Lin, R. S., Wu, J. L., & Walther, B. A. (2012). Modeling the distribution of rare or cryptic bird species of Taiwan. Taiwania, 57(4), 342-358.

Modeling the distribution of rare or cryptic bird species of Taiwan. / Wu, Tsai Yu; Lee, Pei Fen; Lin, Ruey Shing; Wu, Jian Long; Walther, Bruno A.

In: Taiwania, Vol. 57, No. 4, 2012, p. 342-358.

Research output: Contribution to journalArticle

Wu, TY, Lee, PF, Lin, RS, Wu, JL & Walther, BA 2012, 'Modeling the distribution of rare or cryptic bird species of Taiwan', Taiwania, vol. 57, no. 4, pp. 342-358.
Wu TY, Lee PF, Lin RS, Wu JL, Walther BA. Modeling the distribution of rare or cryptic bird species of Taiwan. Taiwania. 2012;57(4):342-358.
Wu, Tsai Yu ; Lee, Pei Fen ; Lin, Ruey Shing ; Wu, Jian Long ; Walther, Bruno A. / Modeling the distribution of rare or cryptic bird species of Taiwan. In: Taiwania. 2012 ; Vol. 57, No. 4. pp. 342-358.
@article{ebf620a72b9041edb674034c617de7b4,
title = "Modeling the distribution of rare or cryptic bird species of Taiwan",
abstract = "For the study of the macroecology and conservation of Taiwan's birds, there was an urgent need to develop distribution models of bird species whose distribution had never before been modeled. Therefore, we here model the distributions of 27 mostly rare and cryptic breeding bird species using a statistical approach which has been shown to be especially reliable for modeling species with a low sample size of presence localities, namely the maximum entropy (Maxent) modeling technique. For this purpose, we began with a dedicated attempt to collate as much high-quality distributional data as possible, assembling databases from several scientific reports, contacting individual data recorders and searching publicly accessible database, the internet and the available literature. This effort resulted in 2022 grid cells of 1 × 1 km size being associated with a presence record for one of the 27 species. These records and 10 pre-selected environmental variables were then used to model each species' probability distribution which we show here with all grid cells below the lowest presence threshold being converted to zeros. We then in detail discuss the interpretation and applicability of these distributions, whereby we pay close attention to habitat requirements, the intactness and fragmentation of their habitat, the general detectability of the species and data reliability. This study is another one in an ongoing series of studies which highlight the usefulness of using large electronic databases and modern analytical methods to help with the monitoring and assessment of Taiwan's bird species.",
keywords = "Biogeography, Conservation status, GIS, Rarity, Taiwan avifauna",
author = "Wu, {Tsai Yu} and Lee, {Pei Fen} and Lin, {Ruey Shing} and Wu, {Jian Long} and Walther, {Bruno A.}",
year = "2012",
language = "English",
volume = "57",
pages = "342--358",
journal = "Taiwania",
issn = "0372-333X",
publisher = "National Taiwan University (IEEB)",
number = "4",

}

TY - JOUR

T1 - Modeling the distribution of rare or cryptic bird species of Taiwan

AU - Wu, Tsai Yu

AU - Lee, Pei Fen

AU - Lin, Ruey Shing

AU - Wu, Jian Long

AU - Walther, Bruno A.

PY - 2012

Y1 - 2012

N2 - For the study of the macroecology and conservation of Taiwan's birds, there was an urgent need to develop distribution models of bird species whose distribution had never before been modeled. Therefore, we here model the distributions of 27 mostly rare and cryptic breeding bird species using a statistical approach which has been shown to be especially reliable for modeling species with a low sample size of presence localities, namely the maximum entropy (Maxent) modeling technique. For this purpose, we began with a dedicated attempt to collate as much high-quality distributional data as possible, assembling databases from several scientific reports, contacting individual data recorders and searching publicly accessible database, the internet and the available literature. This effort resulted in 2022 grid cells of 1 × 1 km size being associated with a presence record for one of the 27 species. These records and 10 pre-selected environmental variables were then used to model each species' probability distribution which we show here with all grid cells below the lowest presence threshold being converted to zeros. We then in detail discuss the interpretation and applicability of these distributions, whereby we pay close attention to habitat requirements, the intactness and fragmentation of their habitat, the general detectability of the species and data reliability. This study is another one in an ongoing series of studies which highlight the usefulness of using large electronic databases and modern analytical methods to help with the monitoring and assessment of Taiwan's bird species.

AB - For the study of the macroecology and conservation of Taiwan's birds, there was an urgent need to develop distribution models of bird species whose distribution had never before been modeled. Therefore, we here model the distributions of 27 mostly rare and cryptic breeding bird species using a statistical approach which has been shown to be especially reliable for modeling species with a low sample size of presence localities, namely the maximum entropy (Maxent) modeling technique. For this purpose, we began with a dedicated attempt to collate as much high-quality distributional data as possible, assembling databases from several scientific reports, contacting individual data recorders and searching publicly accessible database, the internet and the available literature. This effort resulted in 2022 grid cells of 1 × 1 km size being associated with a presence record for one of the 27 species. These records and 10 pre-selected environmental variables were then used to model each species' probability distribution which we show here with all grid cells below the lowest presence threshold being converted to zeros. We then in detail discuss the interpretation and applicability of these distributions, whereby we pay close attention to habitat requirements, the intactness and fragmentation of their habitat, the general detectability of the species and data reliability. This study is another one in an ongoing series of studies which highlight the usefulness of using large electronic databases and modern analytical methods to help with the monitoring and assessment of Taiwan's bird species.

KW - Biogeography

KW - Conservation status

KW - GIS

KW - Rarity

KW - Taiwan avifauna

UR - http://www.scopus.com/inward/record.url?scp=84871437466&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84871437466&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:84871437466

VL - 57

SP - 342

EP - 358

JO - Taiwania

JF - Taiwania

SN - 0372-333X

IS - 4

ER -