The mid‐domain effect applied to elevational gradients: species richness of small mammals in Costa Rica
By C. McCain. 2004
374 citations recorded by the source corpus.
Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/35f1e17566d1cbd22b81a8648e6d949832e43c45
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecological Modeling
- C. McCain
- Robert K. Colwell
- C. Rahbek
- Nicholas Gotelli
- John‐Arvid Grytnes
- N. Sanders
- R. Dunn
- M. Kessler
In Ecology
- C. McCain
- Nicholas Gotelli
- Robert K. Colwell
- John‐Arvid Grytnes
- C. Rahbek
- M. Kessler
- R. Dunn
- N. Sanders
In Nature and Landscape Conservation
- C. McCain
- Robert K. Colwell
- C. Rahbek
- Nicholas Gotelli
- John‐Arvid Grytnes
- Gunnar Brehm
- R. Dunn
- K. Fiedler
Citations in the corpus
- Elevational Gradients in Species Richness (2010, background): “MDE predicts a unimodal diversity curve with maximum diversity at the midpoint of the mountain (Grytnes and Vetaas, 2002; McCain, 2004), and a strong concordance between MDE Monte Carlo simulations and empirical diversity (e.”
- The Mid‐Domain Effect and Species Richness Patterns:What Have We Learned So Far? (2004, methodology): “…effects of geometric constraints using an appropriate MDE model is an effective means of pinpointing regions where a net excess or net deficiency of species remains (Rahbek 1997; Connolly et al. 2003; McCain 2004)—deviations that might be explained by spatial patterns of speciation and extinction.”
- ELEVATIONAL GRADIENTS IN DIVERSITY OF SMALL MAMMALS (2005, methodology): “To test the influence of geographic boundaries, diversity patterns were compared to null model predictions with a Monte Carlo simulation procedure (Mid-Domain Null; McCain 2004).”
- TESTS OF THE MID-DOMAIN HYPOTHESIS: A REVIEW OF THE EVIDENCE (2008, background): “Appendix C provides additional examples of MDE–environment collinearity on elevational gradients (Grytness and Vetaas 2002, McCain 2004, Carpenter 2005).”
- Phylogeny, ecology, and the origins of climate-richness relationships (2012, methodology): “In brief, we used Mid-Domain null (McCain 2004) to simulate 1000 data sets in which species’ ranges were randomly placed along the temperature and precipitation gradients in each region.”
- Global warming, elevational ranges and the vulnerability of tropical biota (2010, background): “…2004), to identify centers of species endemism (Fjeldså and Lovett, 1997; Rahbek, 1997), to test the mid-domain hypothesis (Bachman et al., 2004; McCain, 2004), and to evaluate the extent of thermal specialization (Williams et al., 2009; McCain, 2009) and recent vertical-range shifts (Chen et…”
- Global analysis of bird elevational diversity (2009, background): “On mountains, MDE predicts (McCain , 2004) (A) a unimodal diversity curve with maximum diversity at the mid-point of the mountain.”
- Why are there so many species in the tropics? (2013, background): “Also relevant are mechanisms responsible for the frequently observed peak of diversity at intermediate elevations, a phenomenon seldom seen across latitude (e.g. McCain, 2004; Colwell, 2011).”
- Explaining the species richness of birds along a subtropical elevational gradient in the Hengduan Mountains (2013, background): “…and the functioning of ecosystems (Rahbek, 1995, 2005; Colwell & Lees, 2000; 2310 http://wileyonlinelibrary.com/journal/jbi ª 2013 John Wiley & Sons Ltd doi:10.1111/jbi.12177 Lomolino, 2001; McCain, 2004, 2009; Fu et al., 2006; Kluge et al., 2006; Nogu es-Bravo et al., 2008; Wu et al., 2013).”
- When does diversity fit null model predictions? Scale and range size mediate the mid‐domain effect (2007, methodology): “For this work, all studies are based on MDE null models that use randomizations of empirical range sizes (e.g. RangeModel, Colwell, 2005; Mid-Domain Null, McCain, 2004b).”
- Elevational Trends in Biodiversity (2013, background): “…in actually detecting an abrupt change in species composition or increased species richness around the assumed ecotones (Terborgh, 1985; McCain, 2004; but see Grytnes, 2003 and Kessler, 2000), indicating that this may not be important for shaping the elevational richness pattern, but…”
- Altitudinal patterns of seed plant richness in the Gaoligong Mountains, south‐east Tibet, China (2007, background): “…recent years, many researches have explored the elevational biodiversity patterns of birds (Rahbek, 1997), mammals (Heaney, 2001; Li et al ., 2003; McCain, 2004, 2007), insects (Sanders, 2002), and plants (Ohsawa, 1995; Kessler, 2000; Grytnes & Vetaas, 2002; Oommen & Shanker, 2005), and different…”
- Harvestman (Arachnida: Opiliones) species distribution along three Neotropical elevational gradients: an alternative rescue effect to explain Rapoport's rule? (2006, methodology): “To compare the observed with the expected species richness by the middomain effect, we generated 95% prediction intervals through 50,000 Monte Carlo simulations of the elevational ranges within the domain using the software mid-domain null (McCain, 2004, 2005).”
- Could temperature and water availability drive elevational species richness patterns? A global case study for bats (2006, methodology): “To test the influence of geographical boundaries, species richness patterns were compared to null model predictions with a Monte Carlo simulation procedure (Mid-Domain Null; McCain, 2004).”