Island species–area relationships and species–accumulation curves are not equivalent: an analysis of habitat island datasets

Aim The relationship between species number and area is of fundamental importance within macroecology and conservation science. Yet, the implications of different means of quantitative depiction of the relationship remain contentious. We set out (i) to establish the variation in form of the relation...

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Main Authors: Whittaker, R, Matthews, T, Trinantis, K, Rigal, F, Borregaard, M, Guilhaumon, F
Format: Journal article
Published: Wiley 2016
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author Whittaker, R
Matthews, T
Trinantis, K
Rigal, F
Borregaard, M
Guilhaumon, F
author_facet Whittaker, R
Matthews, T
Trinantis, K
Rigal, F
Borregaard, M
Guilhaumon, F
author_sort Whittaker, R
collection OXFORD
description Aim The relationship between species number and area is of fundamental importance within macroecology and conservation science. Yet, the implications of different means of quantitative depiction of the relationship remain contentious. We set out (i) to establish the variation in form of the relationship between two distinct methods applied to the same habitat island datasets, (ii) to explore the relevance of several key dataset properties for variation in parameters of these relationships, and (iii) to assess implications for applications of the resulting models. Locations Global Methods Through literature search we compiled 97 habitat island datasets. For each we analysed the form of the island species–area relationship (ISAR) and several versions of species accumulation curve (SAC), giving priority to a randomized form (Ran-SAC). Having established the validity of the power model, we compared the slopes (z-values) between the ISAR and the SAC for each dataset. We used boosted regression tree and simulation analyses to investigate the effect of nestedness and other variables in driving observed differences in z values between ISARs and SACs. Results The Ran-SAC was steeper than the ISAR in 77% of datasets. The differences were primarily driven by the degree of nestedness, although other variables (e.g. number of islands in a dataset) were also important. The ISAR was often a poor predictor of archipelago species richness. Main conclusions Slopes of the ISAR and SAC for the same data set can vary substantially, revealing their non-equivalence, with implications for applications of species–area curve parameters in conservation science. For example, the ISAR was a poor predictor of archipelagic richness in datasets with a low degree of nestedness. Caution should be employed when using the ISAR for extrapolation and prediction purposes in habitat island systems.
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spelling oxford-uuid:23e51cf0-233c-44f5-9278-99337a6f7c8d2022-03-26T11:46:47ZIsland species–area relationships and species–accumulation curves are not equivalent: an analysis of habitat island datasetsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:23e51cf0-233c-44f5-9278-99337a6f7c8dSymplectic Elements at OxfordWiley2016Whittaker, RMatthews, TTrinantis, KRigal, FBorregaard, MGuilhaumon, FAim The relationship between species number and area is of fundamental importance within macroecology and conservation science. Yet, the implications of different means of quantitative depiction of the relationship remain contentious. We set out (i) to establish the variation in form of the relationship between two distinct methods applied to the same habitat island datasets, (ii) to explore the relevance of several key dataset properties for variation in parameters of these relationships, and (iii) to assess implications for applications of the resulting models. Locations Global Methods Through literature search we compiled 97 habitat island datasets. For each we analysed the form of the island species–area relationship (ISAR) and several versions of species accumulation curve (SAC), giving priority to a randomized form (Ran-SAC). Having established the validity of the power model, we compared the slopes (z-values) between the ISAR and the SAC for each dataset. We used boosted regression tree and simulation analyses to investigate the effect of nestedness and other variables in driving observed differences in z values between ISARs and SACs. Results The Ran-SAC was steeper than the ISAR in 77% of datasets. The differences were primarily driven by the degree of nestedness, although other variables (e.g. number of islands in a dataset) were also important. The ISAR was often a poor predictor of archipelago species richness. Main conclusions Slopes of the ISAR and SAC for the same data set can vary substantially, revealing their non-equivalence, with implications for applications of species–area curve parameters in conservation science. For example, the ISAR was a poor predictor of archipelagic richness in datasets with a low degree of nestedness. Caution should be employed when using the ISAR for extrapolation and prediction purposes in habitat island systems.
spellingShingle Whittaker, R
Matthews, T
Trinantis, K
Rigal, F
Borregaard, M
Guilhaumon, F
Island species–area relationships and species–accumulation curves are not equivalent: an analysis of habitat island datasets
title Island species–area relationships and species–accumulation curves are not equivalent: an analysis of habitat island datasets
title_full Island species–area relationships and species–accumulation curves are not equivalent: an analysis of habitat island datasets
title_fullStr Island species–area relationships and species–accumulation curves are not equivalent: an analysis of habitat island datasets
title_full_unstemmed Island species–area relationships and species–accumulation curves are not equivalent: an analysis of habitat island datasets
title_short Island species–area relationships and species–accumulation curves are not equivalent: an analysis of habitat island datasets
title_sort island species area relationships and species accumulation curves are not equivalent an analysis of habitat island datasets
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