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Variability in the effectiveness of two ornithological survey methods between tropical forest ecosystems

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Variability in the effectiveness of two ornithological survey methods between tropical forest ecosystems. / Martin, Thomas; Nightingale, Josh; Baddams, Jack; Monkhouse, Joseph; Kaban, Aronika; Sastranegara, Hafiyyan; Mulyani, Yeni; Blackburn, George Alan; Simcox, Wilf.

In: PLoS ONE, Vol. 12, No. 1, 0169786, 10.01.2017.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Martin, T, Nightingale, J, Baddams, J, Monkhouse, J, Kaban, A, Sastranegara, H, Mulyani, Y, Blackburn, GA & Simcox, W 2017, 'Variability in the effectiveness of two ornithological survey methods between tropical forest ecosystems', PLoS ONE, vol. 12, no. 1, 0169786. https://doi.org/10.1371/journal.pone.0169786

APA

Martin, T., Nightingale, J., Baddams, J., Monkhouse, J., Kaban, A., Sastranegara, H., Mulyani, Y., Blackburn, G. A., & Simcox, W. (2017). Variability in the effectiveness of two ornithological survey methods between tropical forest ecosystems. PLoS ONE, 12(1), [0169786]. https://doi.org/10.1371/journal.pone.0169786

Vancouver

Martin T, Nightingale J, Baddams J, Monkhouse J, Kaban A, Sastranegara H et al. Variability in the effectiveness of two ornithological survey methods between tropical forest ecosystems. PLoS ONE. 2017 Jan 10;12(1). 0169786. https://doi.org/10.1371/journal.pone.0169786

Author

Martin, Thomas ; Nightingale, Josh ; Baddams, Jack ; Monkhouse, Joseph ; Kaban, Aronika ; Sastranegara, Hafiyyan ; Mulyani, Yeni ; Blackburn, George Alan ; Simcox, Wilf. / Variability in the effectiveness of two ornithological survey methods between tropical forest ecosystems. In: PLoS ONE. 2017 ; Vol. 12, No. 1.

Bibtex

@article{9f2950c46ffb4989b2082dbec2a98895,
title = "Variability in the effectiveness of two ornithological survey methods between tropical forest ecosystems",
abstract = "Birds are a frequently chosen group for biodiversity monitoring as they are comparatively straightforward and inexpensive to sample and often perform well as ecological indicators. Two commonly used techniques for monitoring tropical forest bird communities are point counts and mist nets. General strengths and weaknesses of these techniques have been well-defined; however little research has examined how their effectiveness is mediated by the ecology of bird communities and their habitats. We examine how the overall performance of these methodologies differs between two widely separated tropical forests–Cusuco National Park (CNP), a Honduran cloud forest, and the lowland forests of Buton Forest Reserves (BFR) located on Buton Island, Indonesia. Consistent survey protocols were employed at both sites, with 77 point count stations and 22 mist netting stations being surveyed in each location. We found the effectiveness of both methods varied considerably between ecosystems. Point counts performed better in BFR than in CNP, detecting a greater percentage of known community richness (60% versus 41%) and generating more accurate species richness estimates. Conversely, mist netting performed better in CNP than in BFR, detecting a much higher percentage of known community richness (31% versus 7%). Indeed, mist netting proved overall to be highly ineffective within BFR. Best Akaike's Information Criterion models indicate differences in the effectiveness of methodologies between study sites relate to bird community composition, which in turn relates to ecological and biogeographical influences unique to each forest ecosystem. Results therefore suggest that, while generalized strengths and weaknesses of both methodologies can be defined, their overall effectiveness is also influenced by local characteristics specific to individual study sites. While this study focusses on ornithological surveys, the concept of local factors influencing effectiveness of field methodologies may also hold true for techniques targeting a wide range of taxonomic groups; this requires further research.",
author = "Thomas Martin and Josh Nightingale and Jack Baddams and Joseph Monkhouse and Aronika Kaban and Hafiyyan Sastranegara and Yeni Mulyani and Blackburn, {George Alan} and Wilf Simcox",
year = "2017",
month = jan,
day = "10",
doi = "10.1371/journal.pone.0169786",
language = "English",
volume = "12",
journal = "PLoS ONE",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "1",

}

RIS

TY - JOUR

T1 - Variability in the effectiveness of two ornithological survey methods between tropical forest ecosystems

AU - Martin, Thomas

AU - Nightingale, Josh

AU - Baddams, Jack

AU - Monkhouse, Joseph

AU - Kaban, Aronika

AU - Sastranegara, Hafiyyan

AU - Mulyani, Yeni

AU - Blackburn, George Alan

AU - Simcox, Wilf

PY - 2017/1/10

Y1 - 2017/1/10

N2 - Birds are a frequently chosen group for biodiversity monitoring as they are comparatively straightforward and inexpensive to sample and often perform well as ecological indicators. Two commonly used techniques for monitoring tropical forest bird communities are point counts and mist nets. General strengths and weaknesses of these techniques have been well-defined; however little research has examined how their effectiveness is mediated by the ecology of bird communities and their habitats. We examine how the overall performance of these methodologies differs between two widely separated tropical forests–Cusuco National Park (CNP), a Honduran cloud forest, and the lowland forests of Buton Forest Reserves (BFR) located on Buton Island, Indonesia. Consistent survey protocols were employed at both sites, with 77 point count stations and 22 mist netting stations being surveyed in each location. We found the effectiveness of both methods varied considerably between ecosystems. Point counts performed better in BFR than in CNP, detecting a greater percentage of known community richness (60% versus 41%) and generating more accurate species richness estimates. Conversely, mist netting performed better in CNP than in BFR, detecting a much higher percentage of known community richness (31% versus 7%). Indeed, mist netting proved overall to be highly ineffective within BFR. Best Akaike's Information Criterion models indicate differences in the effectiveness of methodologies between study sites relate to bird community composition, which in turn relates to ecological and biogeographical influences unique to each forest ecosystem. Results therefore suggest that, while generalized strengths and weaknesses of both methodologies can be defined, their overall effectiveness is also influenced by local characteristics specific to individual study sites. While this study focusses on ornithological surveys, the concept of local factors influencing effectiveness of field methodologies may also hold true for techniques targeting a wide range of taxonomic groups; this requires further research.

AB - Birds are a frequently chosen group for biodiversity monitoring as they are comparatively straightforward and inexpensive to sample and often perform well as ecological indicators. Two commonly used techniques for monitoring tropical forest bird communities are point counts and mist nets. General strengths and weaknesses of these techniques have been well-defined; however little research has examined how their effectiveness is mediated by the ecology of bird communities and their habitats. We examine how the overall performance of these methodologies differs between two widely separated tropical forests–Cusuco National Park (CNP), a Honduran cloud forest, and the lowland forests of Buton Forest Reserves (BFR) located on Buton Island, Indonesia. Consistent survey protocols were employed at both sites, with 77 point count stations and 22 mist netting stations being surveyed in each location. We found the effectiveness of both methods varied considerably between ecosystems. Point counts performed better in BFR than in CNP, detecting a greater percentage of known community richness (60% versus 41%) and generating more accurate species richness estimates. Conversely, mist netting performed better in CNP than in BFR, detecting a much higher percentage of known community richness (31% versus 7%). Indeed, mist netting proved overall to be highly ineffective within BFR. Best Akaike's Information Criterion models indicate differences in the effectiveness of methodologies between study sites relate to bird community composition, which in turn relates to ecological and biogeographical influences unique to each forest ecosystem. Results therefore suggest that, while generalized strengths and weaknesses of both methodologies can be defined, their overall effectiveness is also influenced by local characteristics specific to individual study sites. While this study focusses on ornithological surveys, the concept of local factors influencing effectiveness of field methodologies may also hold true for techniques targeting a wide range of taxonomic groups; this requires further research.

U2 - 10.1371/journal.pone.0169786

DO - 10.1371/journal.pone.0169786

M3 - Journal article

VL - 12

JO - PLoS ONE

JF - PLoS ONE

SN - 1932-6203

IS - 1

M1 - 0169786

ER -