Measures, perceptions and scaling patterns of aggregated species distributions
| dc.contributor.author | Hui, Cang | en_ZA |
| dc.contributor.author | Veldtman, Ruan | en_ZA |
| dc.contributor.author | McGeoch, Melodie A. | en_ZA |
| dc.date.accessioned | 2010-05-25T09:19:34Z | |
| dc.date.accessioned | 2021-08-26T19:43:01Z | |
| dc.date.available | 2010-05-25T09:19:34Z | |
| dc.date.available | 2021-08-26T19:43:01Z | |
| dc.date.issued | 2010 | |
| dc.description | CITATION: Hui, C., Veldtman, R. & McGeoch, M. A. 2010. Measures, perceptions and scaling patterns of aggregated species distributions. Ecography, 33: 95-102, doi:10.1111/j.1600-0587.2009.05997.x. | |
| dc.description | The original publication is available at https://onlinelibrary.wiley.com | |
| dc.description.abstract | Non-random (aggregated) species distributions arise from habitat heterogeneity and nonlinear biotic processes. A comprehensive understanding of the concept of aggregation, as well as its measurement, is pivotal to our understanding of species distributions and macroecological patterns. Here, using an individual-based model, we analyzed opinions on the concept of aggregation from the public and experts (trained ecologists), in addition to those calculated from a variety of aggregation indices. Three forms of scaling patterns (logarithmic, power-law and lognormal) and four groups of scaling trajectories emerged. The experts showed no significant difference from the public, although with a much lower deviation. The public opinion was partially influenced by the abundance of individuals in the spatial map, which was not found in the experts. With the increase of resolution (decrease of grain), aggregation indices showed a general trend from significantly different to significantly similar to the expert opinion. The over-dispersion index (i.e. the clumping parameter k in the negative binomial distribution) performed, at certain scales, as the closest index to the expert opinion. Examining performance of aggregation measures from different groups of scaling patterns was proposed as a practical way of analyzing spatial structures. The categorization of the scaling patterns of aggregation measures, as well as their over- and in-sensitivity towards spatial structures, thus not only provides a potential solution to the modifiable areal unit problem, but also unveils the interrelationship among the concept, measures and perceptions of aggregated species distributions. | en |
| dc.description.sponsorship | The authors are grateful to Stuart H. Hurlbert, Steven L. Chown, Peter C. le Roux, Jesse M. Kalwij, Lars B. Pettersson, Pedro Peres-Neto, Joaquı´n Hortal and two anonymous referees for comments and discussions, thankful to colleagues and other persons who completed the survey. Support from the DST-NRF Centre of Excellence for Invasion Biology, Claude Leon Foundation and the NRF Blue Skies Programme is acknowledged. | en |
| dc.description.uri | https://onlinelibrary.wiley.com/doi/10.1111/j.1600-0587.2009.05997.x | |
| dc.description.version | Publisher's version | |
| dc.format.extent | 8 pages : illustrations | en_ZA |
| dc.identifier.citation | Hui, C., Veldtman, R. & McGeoch, M. A. 2010. Measures, perceptions and scaling patterns of aggregated species distributions. Ecography, 33: 95-102, doi:10.1111/j.1600-0587.2009.05997.x | |
| dc.identifier.issn | 1600-0587 (online) | |
| dc.identifier.issn | 0906-7590 (print) | |
| dc.identifier.other | doi:10.1111/j.1600-0587.2009.05997.x | |
| dc.identifier.uri | http://hdl.handle.net/10019.1/117498 | |
| dc.language.iso | en_ZA | en_ZA |
| dc.publisher | Nordic Society Oikos | |
| dc.rights.holder | Authors retain copyright | |
| dc.subject | Scaling | en |
| dc.subject | Habitat (Ecology) -- Mathematical models | en_ZA |
| dc.subject | Numbers of species | en_ZA |
| dc.subject | Species distribution | en_ZA |
| dc.subject | Species -- Geographical distribution | en_ZA |
| dc.subject | Biogeography | en_ZA |
| dc.title | Measures, perceptions and scaling patterns of aggregated species distributions | en_ZA |
| dc.type | Article | en_ZA |