The mid-domain effect: geometric constraints on the geography of species richness

Colwell, Robert K.; Lees, David C.

doi:10.1016/s0169-5347(99)01767-x

Cited by 942 publications

(1,059 citation statements)

References 39 publications

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“…While contributing by only the settlement of this gradient including the existence of a center of overlap among distinct biogeographic domains [29,107,108], the highest connectivity of the Pleistocene coral reef refuges in the Indo-Australian archipelago [109] and geometric constraints on the distribution of species richness [110,111].…”

Section: The Sahul Ichthyofaunamentioning

confidence: 99%

DNA Barcoding Indonesian freshwater fishes: challenges and prospects

Hubert¹,

Kadarusman²,

Wibowo³

et al. 2015

DNA Barcodes

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With 1172 native species, the Indonesian ichthyofauna is among the world’s most speciose. Despite that the inventory of the Indonesian ichthyofauna started during the eighteen century, the numerous species descriptions during the last decades highlight that the taxonomic knowledge is still fragmentary. Meanwhile, the fast increase of anthropogenic perturbations during the last decades is posing serious threats to Indonesian biodiversity. Indonesia, however, is one of the major sources of export for the international ornamental trade and home of several species of high value in aquaculture. The development of new tools for species identification is urgently needed to improve the sustainability of the exploitation of the Indonesian ichthyofauna. With the aim to build comprehensive DNA barcode libraries, the co-authors have started a collective effort to DNA barcode all Indonesian freshwater fishes. The aims of this review are: (1) to produce an overview of the ichthyological researches conducted so far in Indonesia, (2) to present an updated checklist of the freshwater fishes reported to date from Indonesia’s inland waters, (3) to highlight the challenges associated with its conservation and management, (4) to present the benefits of developing comprehensive DNA barcode reference libraries for the conservation of the Indonesian ichthyofauna.

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Section: The Sahul Ichthyofaunamentioning

confidence: 99%

DNA Barcoding Indonesian freshwater fishes: challenges and prospects

Hubert¹,

Kadarusman²,

Wibowo³

et al. 2015

DNA Barcodes

View full text Add to dashboard Cite

show abstract

“…For the distribution of species richness along the temperature domain most of the observed variance is generated by a pattern of ranges in relation to temperature that does not differ substantially from random range placement under geometric constraints set by fixed physiological limits. We stress that this pattern is the statistical outcome of deterministic evolutionary and ecological processes at the level of individuals and populations (Colwell & Lees 2000).…”

Section: Discussionmentioning

confidence: 92%

“…The degree to which the empirical data match the MDE model and thus can be ascribed to 'geometric constraints' is highly variable among studies (Pineda & Caswell 1998, Colwell & Lees 2000, Colwell et al 2004. Findings of certain hump-shaped patterns of species richness documented across the depth gradient may be largely ascribed to a mid-domain effect (Gage & Tyler 1991, Colwell & Lees 2000, whereas other data sets do not fully meet the assumptions of the null models (North Atlantic deep sea fishes; Kendall & Haedrich 2006).…”

Section: Discussionmentioning

confidence: 99%

“…Findings of certain hump-shaped patterns of species richness documented across the depth gradient may be largely ascribed to a mid-domain effect (Gage & Tyler 1991, Colwell & Lees 2000, whereas other data sets do not fully meet the assumptions of the null models (North Atlantic deep sea fishes; Kendall & Haedrich 2006). In this vein, as suggested by Colwell et al (2004), MDE models are not null hypotheses to be simplistically rejected or accepted.…”

Section: Discussionmentioning

confidence: 99%

“…Middomain effect theory (MDE; Colwell & Hurtt 1994, Colwell & Lees 2000) involves a null model that predicts that species ranges, when randomly arranged within a bounded domain, produce a unimodal curve with a mid-domain maximum (Colwell & Lees 2000). To date, MDE models have been tested in several 1-dimensional gradients (i.e.…”

Section: Introductionmentioning

confidence: 99%

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Distribution of megabenthic gastropods along environmental gradients: the mid-domain effect and beyond

Carranza¹,

Colwell²,

Rangel³

2008

Mar. Ecol. Prog. Ser.

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We analysed the distribution patterns of megabenthic species of marine molluscs from the Uruguayan shelf in relation to 3 interacting gradients, namely depth, salinity and temperature of sea bottom waters. Our results were generated from a data set comprising the complete list of megabenthic gastropods (adult shell length > 50 mm; 22 species) from a study area that encompassed latitudes from 34 to 39°south, between 4 and 800 m depth. Multiple regressions were used to evaluate the contribution of 3 classes of explanatory variables to gastropod richness at sampling points along the gradients: (1) geometric constraints on the distribution of species' tolerance ranges for environmental variables (the mid-domain effect, MDE), (2) the species-area effect driven by the spatial extent of scaled environmental variables, and (3) the environmental variables themselves. In addition, we explored multivariate explanations for the bathymetric pattern of gastropod species richness, incorporating depth-based area, temperature, salinity and geometric constraints as predictor variables. Examination of Moran's I for regression residuals confirmed that results were not biased by spatial autocorrelation. Overall, the environmental variables per se were the most important contributors to the observed patterns. However, a significant signature of the MDE was revealed, by the entry of geometric constraints into nearly all models. In contrast, the species-area effect was less important. These results suggest that: (1) MDE may operate in any kind of bounded gradient, (2) both stochastic and deterministic processes are responsible for the pattern observed, and (3) the relative contribution of the MDE to the patterns is dependent on the gradient considered and the way in which species richness is measured. KEY WORDS: Mid-domain effect · Species richness · Continental shelf · Gastropods · UruguayResale or republication not permitted without written consent of the publisher

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Mountain Biogeography

Shen

2017

International Encyclopedia of Geography

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The status of mountain in biogeography can be traced back to the origin of the discipline of biogeography and linked with the model of island biogeography. The physiographic and environmental properties of mountains are reviewed with regard to biogeographic patterns and processes. The features of mountain biogeographic patterns include three major aspects, that is, altitudinal vegetation zonation, altitudinal pattern of species richness, and the isolated distribution of organisms. The mechanisms for mountain biogeographical patterns are summarized based on temporal scale, with six factors in the contemporary mechanisms, and three processes in the historical mechanisms. Climate change, human disturbance, and species conservation are the primary challenges for mountain biogeography in theoretical and practical aspects.

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The mid-domain effect: geometric constraints on the geography of species richness

Cited by 942 publications

References 39 publications

DNA Barcoding Indonesian freshwater fishes: challenges and prospects

DNA Barcoding Indonesian freshwater fishes: challenges and prospects

Distribution of megabenthic gastropods along environmental gradients: the mid-domain effect and beyond

Mountain Biogeography

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