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Can we predict the number of plant species from the richness of a few common genera, families or orders?

Mazaris, Antonios D., Kallimanis, Athanasios S., Tzanopoulos, Joseph, Sgardelis, Stefanos P., Pantis, John D. (2010) Can we predict the number of plant species from the richness of a few common genera, families or orders? Journal of Applied Ecology, 47 (3). pp. 662-670. ISSN 0021-8901. (doi:10.1111/j.1365-2664.2010.01814.x) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:30019)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1111/j.1365-2664.2010.0181

Abstract

1. Halting biodiversity loss, a major environmental challenge, relies on the understanding of species richness patterns. The assessment of species richness is often hampered by limited taxonomic knowledge and the general dearth of trained systematists. Research has shown that we can predict the number of species in a community by the number of higher order taxonomic units present. Here, we test whether we need to know all the genera, families or orders in order to do so. Further, the number of common species in a region is a good predictor of total richness and we test if this predictability translates to using higher taxa.

3. We found that we do not need to know all higher order taxa present, in order to predict species richness. If we know how many out of the 30 most common orders are present, we can reliably predict the number of species. Similar results were obtained if we know how many of the 60 most common families or 200 most common genera are present.

5. Synthesis and applications. Our analysis demonstrates that species richness can be predicted from the number of common or more speciose genera, families and orders present. These predictions hold without complete sampling of these higher taxa. The implication is that we need only limited systematic knowledge, resources and effort in order to predict species richness. Assuming these findings hold in other taxonomic groups and in other regions, we argue that the uncertainty introduced by limited knowledge of the systematics of less studied taxa should not be used as an excuse to avoid making conservation decisions.

Item Type: Article
DOI/Identification number: 10.1111/j.1365-2664.2010.01814.x
Uncontrolled keywords: commonness and rarity, conservation biogeography, Greece, higher taxonomic levels, Natura 2000 Network, rapid biodiversity assessments, surrogate methods
Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
Q Science > QH Natural history > QH541 Ecology
Q Science > QH Natural history > QH75 Conservation (Biology)
Divisions: Divisions > Division of Human and Social Sciences > School of Anthropology and Conservation > DICE (Durrell Institute of Conservation and Ecology)
Depositing User: Joseph Tzanopoulos
Date Deposited: 10 Oct 2012 21:43 UTC
Last Modified: 16 Feb 2021 12:41 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/30019 (The current URI for this page, for reference purposes)
Tzanopoulos, Joseph: https://orcid.org/0000-0002-3322-2019
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