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Inconsistent detection of extinction debts using different methods

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Inconsistent detection of extinction debts using different methods. / Ridding; Newton, Adrian C.; Keith, Sal et al.
In: Ecography, Vol. 44, No. 1, 01.01.2021, p. 33-43.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Ridding, Newton, AC, Keith, S, Walls, R, Diaz, A, Bullock, J & Pywell, RF 2021, 'Inconsistent detection of extinction debts using different methods', Ecography, vol. 44, no. 1, pp. 33-43. https://doi.org/10.1111/ecog.05344

APA

Ridding, Newton, A. C., Keith, S., Walls, R., Diaz, A., Bullock, J., & Pywell, R. F. (2021). Inconsistent detection of extinction debts using different methods. Ecography, 44(1), 33-43. https://doi.org/10.1111/ecog.05344

Vancouver

Ridding, Newton AC, Keith S, Walls R, Diaz A, Bullock J et al. Inconsistent detection of extinction debts using different methods. Ecography. 2021 Jan 1;44(1):33-43. Epub 2020 Oct 8. doi: 10.1111/ecog.05344

Author

Ridding ; Newton, Adrian C. ; Keith, Sal et al. / Inconsistent detection of extinction debts using different methods. In: Ecography. 2021 ; Vol. 44, No. 1. pp. 33-43.

Bibtex

@article{b7a9ceb09a4b4b9180ec22c467274fc4,
title = "Inconsistent detection of extinction debts using different methods",
abstract = "The extinction debt, delayed species extinctions following landscape degradation, is a widely discussed concept. But a consensus about the prevalence of extinctions debts is hindered by a multiplicity of methods and a lack of comparisons among habitats. We applied three contrasting species–area relationship methods to test for plant community extinction debts in three habitats which had different degradation histories over the last century: calcareous grassland, heathland and woodland. These methods differ in their data requirements, with the first two using information on past and current habitat area alongside current species richness, whilst the last method also requires data on past species richness. The most data‐intensive, and hence arguably most reliable method, identified extinction debts across all habitats for specialist species, whilst the other methods did not. All methods detected an extinction debt in calcareous grassland, which had undergone the most severe degradation. We conclude that some methods failed to detect an extinction debt, particularly in habitats that have undergone moderate degradation. Data on past species numbers are required for the most reliable method; as such data are rare, extinction debts may be under‐reported.",
keywords = "calcareous grassland, extinction debt, habitat, heathland, landscape , plants, species–area relationship, species richness, woodland",
author = "Ridding and Newton, {Adrian C.} and Sal Keith and R Walls and Anita Diaz and James Bullock and Pywell, {Richard F.}",
year = "2021",
month = jan,
day = "1",
doi = "10.1111/ecog.05344",
language = "English",
volume = "44",
pages = "33--43",
journal = "Ecography",
issn = "0906-7590",
publisher = "Wiley-Blackwell",
number = "1",

}

RIS

TY - JOUR

T1 - Inconsistent detection of extinction debts using different methods

AU - Ridding,

AU - Newton, Adrian C.

AU - Keith, Sal

AU - Walls, R

AU - Diaz, Anita

AU - Bullock, James

AU - Pywell, Richard F.

PY - 2021/1/1

Y1 - 2021/1/1

N2 - The extinction debt, delayed species extinctions following landscape degradation, is a widely discussed concept. But a consensus about the prevalence of extinctions debts is hindered by a multiplicity of methods and a lack of comparisons among habitats. We applied three contrasting species–area relationship methods to test for plant community extinction debts in three habitats which had different degradation histories over the last century: calcareous grassland, heathland and woodland. These methods differ in their data requirements, with the first two using information on past and current habitat area alongside current species richness, whilst the last method also requires data on past species richness. The most data‐intensive, and hence arguably most reliable method, identified extinction debts across all habitats for specialist species, whilst the other methods did not. All methods detected an extinction debt in calcareous grassland, which had undergone the most severe degradation. We conclude that some methods failed to detect an extinction debt, particularly in habitats that have undergone moderate degradation. Data on past species numbers are required for the most reliable method; as such data are rare, extinction debts may be under‐reported.

AB - The extinction debt, delayed species extinctions following landscape degradation, is a widely discussed concept. But a consensus about the prevalence of extinctions debts is hindered by a multiplicity of methods and a lack of comparisons among habitats. We applied three contrasting species–area relationship methods to test for plant community extinction debts in three habitats which had different degradation histories over the last century: calcareous grassland, heathland and woodland. These methods differ in their data requirements, with the first two using information on past and current habitat area alongside current species richness, whilst the last method also requires data on past species richness. The most data‐intensive, and hence arguably most reliable method, identified extinction debts across all habitats for specialist species, whilst the other methods did not. All methods detected an extinction debt in calcareous grassland, which had undergone the most severe degradation. We conclude that some methods failed to detect an extinction debt, particularly in habitats that have undergone moderate degradation. Data on past species numbers are required for the most reliable method; as such data are rare, extinction debts may be under‐reported.

KW - calcareous grassland

KW - extinction debt

KW - habitat

KW - heathland

KW - landscape

KW - plants

KW - species–area relationship

KW - species richness

KW - woodland

U2 - 10.1111/ecog.05344

DO - 10.1111/ecog.05344

M3 - Journal article

VL - 44

SP - 33

EP - 43

JO - Ecography

JF - Ecography

SN - 0906-7590

IS - 1

ER -