A comparison of methods for estimating plant population size

Reisch, Christoph and Schmid, Christoph and Hartig, Florian (2018) A comparison of methods for estimating plant population size. BIODIVERSITY AND CONSERVATION, 27 (8). pp. 2021-2028. ISSN 0960-3115, 1572-9710

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Abstract

Assessing local population size is one of the most common tasks in biodiversity monitoring. Population size estimates are not only important for conservation management and population threat assessment; they also enter many other analyses in landscape ecology and conservation. It is therefore concerning that methods for estimating plant population sizes are not standardized. We surveyed the literature and found that the most commonly used methods are counting either all or only flowering individuals on a site, as well as counting individuals in random plots or plots on transects. Sometimes, these methods are combined in the same study, without assurance that they produce comparable results. We therefore conducted a field study, in which we obtained population size estimates from all four methods for six different calcareous grassland species at 18 study sites. Our results demonstrate not only substantial differences between overall count rates generated by the different methods, but methods that surveyed the whole population also systematically yielded lower counts when species were less visible and when the area was larger, suggesting that these methods suffer from biases that could distort species and site comparisons. We conclude that estimates from different methods should not be mixed, and that plot or transect based surveys have likely smaller biases for large areas or poorly visible individuals, and are therefore preferable.

Item Type: Article
Uncontrolled Keywords: GENETIC-VARIATION; FITNESS; Plant population size; Population ecology; Conservation; Counting; Plots; Vegetation monitoring; Vegetation surveys; Field methods
Subjects: 500 Science > 570 Life sciences
500 Science > 580 Botanical sciences
Divisions: Biology, Preclinical Medicine > Institut für Pflanzenwissenschaften
Depositing User: Dr. Gernot Deinzer
Date Deposited: 06 Mar 2020 12:34
Last Modified: 06 Mar 2020 12:34
URI: https://pred.uni-regensburg.de/id/eprint/14366

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