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Plant invasions reduce the degree of nestedness on warm temperate islands

Plant invasions reduce the degree of nestedness on warm temperate islands

This is a Preprint and has not been peer reviewed. This is version 2 of this Preprint.

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Authors

Fabio Mologni , Peter J. Bellingham, Ewen K. Cameron, Anthony E. Wright, Yanping Wang

Abstract

Questions


Understanding the composition and structure of island floras is crucial for making informed conservation decisions, especially in the context of biological invasions. Island floras are often nested, i.e. species-poor assemblages are frequently subsets of species-rich ones. However, the circumstances under which this occurs on islands are often unclear. To gain insight into the processes that shape the composition and structure of island floras, we incorporated taxonomic and trait categories to investigate the relationships between the degree of nestedness of native and non-native species and island characteristics. We hypothesise that the degree of nestedness (1) declines with island area (non-random local extinctions), increases with isolation (non-random colonisation), declines with exposure to ocean-borne disturbances (non-random local extinction of specialists with their habitat), and is higher on volcanic compared to sedimentary islands (assembly rules). We also hypothesise that (2) plant invasions will reduce overall nestedness and (3) plant assemblages will be more nested if smaller in size (e.g. grasses, forbs) and not adapted to long-dispersal (e.g. wind-dispersed, ferns).


Location


264 islands offshore from northern Aotearoa New Zealand.


Methods


We combined field surveys and published data for 1,543 native and non-native plant species across 264 islands. We compiled information about their taxonomy at the fine (species) and coarse level (i.e. ferns and allies, conifers, monocots, and dicots), and categorised each species by their growth form (i.e. graminoids, forbs, woody species, climbers and lianas, and epiphytes) and dispersal mode (i.e. water-dispersed, unspecialised, short-distance, animal-dispersed, and wind-dispersed). We quantified nestedness by organising species incidence matrices using the NODF (i.e. nestedness metric based on overlap and decreasing fill) and fixed-fixed null models. Finally, we related island nestedness ranks with four island characteristics (area, isolation, exposure to ocean-borne disturbances, and geological origin). 


Results


All plant categories were nested, with a few exceptions. However, non-native species reduced the overall degree of nestedness. Nestedness ranks were consistently related to island area and largely to exposure to ocean-borne disturbances, but rarely to isolation and geological origin. This results strongly support the selective extinction (i.e., small, species-poor islands are subsets of larger, species-rich islands due to non-random local extinctions) and habitat nestedness (i.e., nested patterns generated by the non-random local extinction of specialists with their habitat) hypotheses.


Conclusions


Non-native species reduce the overall degree of nestedness, modifying the species composition of island floras. The overarching effect of island area in shaping insular plant composition underscores the key role of large islands for conserving plant diversity. Nestedness studies can suggest probable processes that determine insular community composition and aid in identifying conservation priority islands.

DOI

https://doi.org/10.32942/X2CK7J

Subjects

Botany, Ecology and Evolutionary Biology, Life Sciences

Keywords

Taxonomic Nestedness, Taxonomic Nestedness, Species composition, plants, NODF, Nestedness, native species, Island flora, island conservation, Island biogeography, Aotearoa New Zealand, species composition, Plants, NODF, Nestedness, Native species, Island flora, Island Conservation, Island biogeography

Dates

Published: 2025-02-03 06:52

Last Updated: 2025-07-09 07:32

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License

CC-BY Attribution-NonCommercial 4.0 International

Additional Metadata

Language:
English

Data and Code Availability Statement:
See Data and Code Availability Statements in the preprint