Patterns of plant species richness in relation to different environments: An appraisal
By Juli G. Pausas, Michael P. Austin. 2001
580 citations recorded by the source corpus.
Subfields: Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/3892cfdf7b72112f7f75f939ca8ee3a430440fc5
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
- Antoine Guisan
- Wilfried Thuiller
- C. Rahbek
- Michael P. Austin
- Miguel B. Araújo
- Guy F. Midgley
- Jane Elith
- Loïc Pellissier
In Ecology, Evolution, Behavior and Systematics
- Antoine Guisan
- Wilfried Thuiller
- Guy F. Midgley
- Michael P. Austin
- C. Rahbek
- Marc W. Cadotte
- Mathieu Rouget
- Loïc Pellissier
In Nature and Landscape Conservation
- Antoine Guisan
- Wilfried Thuiller
- Michael P. Austin
- C. Rahbek
- Miguel B. Araújo
- Guy F. Midgley
- Jane Elith
- Loïc Pellissier
Citations in the corpus
- SESAM – a new framework integrating macroecological and species distribution models for predicting spatio‐temporal patterns of species assemblages (2011, methodology): “These approaches have been widely used in the last two decades (e.g. Pausas & Austin, 2001; Currie et al., 2004; Thuiller et al., 2006; Rahbek et al., 2007; Currie & Kerr, 2008; Algar et al., 2009).”
- Biodiversity of Palaearctic grasslands: a synthesis (2014, background): “sity typically declines with decreasing water availability (Pausas and Austin, 2001).”
- Predicting patterns of plant species richness in megadiverse South Africa (2006, methodology): “Leastsquare or log-likelihood models are usually performed for such purposes (Pausas and Austin 2001) using stepwise regression to rank and select the most explanatory variables.”
- Contrasting Relationships between Precipitation and Species Richness in Space and Time (2007, background): “…to influence species richness, especially in arid and semiarid plant communities where water is a primary limiting resource (Noy-Meir 1973, Sala et al. 1988) and spatial correlations between rainfall and species richness are common (Richerson and Lum 1980, Linder 1991, Pausas and Austin 2001).”
- Beyond species: functional diversity and the maintenance of ecological processes and services (2011, background): “Species richness is commonly linked to nutrient availability, but positive, negative and unimodal trends have all been reported (Pausas & Austin 2001). Kleinebecker, Holzel & Vogel (2010) found positive linear correlations between total species richness in peat bogs and availability of N and NH4Clso”
- Predicting spatial patterns of plant species richness: a comparison of direct macroecological and species stacking modelling approaches (2011, background): “In this MEM, the number of species found at a given location is expected to depend on various control factors such as unit size, resources available (Pausas & Austin, 2001; Hawkins et al., 2003; Michalet et al., 2006; Whittaker et al., 2007), environmental heterogeneity (Palmer & Dixon, 1990;…”
- Plant species richness and diversity along an altitudinal gradient in the Sierra Nevada, Mexico (2005, background): “This pattern is not universal; the specific group of variables responsible for variations in species richness and diversity may be complex and may differ significantly between ecosystems and in different spatial an temporal scales (Pausas & Austin, 2001; Whittaker et al ., 2001).”
- Species richness and cover along a 60-year chronosequence in old-fields of southeastern Spain (2004, background): “The results also support the idea that patterns related to plant species interactions are more interpretable when the species are segregated into different functional groups Pausas and Austin 2001 .”
- Scale- and taxon-dependent biodiversity patterns of dry grassland vegetation in Transylvania (2014, background): “Heat load reduces water availability (Pausas and Austin, 2001) in such relatively hot and dry sites.”
- Spatial prediction of species distribution: an interface between ecological theory and statistical modelling (2002, methodology): “Species richness is a collective property of vegetation, therefore, that needs to be incorporated into models (Margules et al., 1987; Huston, 1994; Pausas, 1994; Austin et al., 1996; Pausas and Austin, 2001).”
- Topography related habitat associations of tree species traits, composition and diversity in a Chinese tropical forest (2014, background): “Species diversity can be positively, negatively and unimodally linked to environmental conditions (Pausas and Austin, 2001), but it does not provide any functional explanation for the detected pattern.”
- Identifying practical indicators of biodiversity for stand-level management of plantation forests (2008, background): “Our sites were of low overall fertility, however, and the true relationship between fertility and vascular plant diversity may be unimodal rather than linear (Grime 1979; Pausas and Austin 2001 ).”
- Distribution, species diversity and life-form spectra of plant communities along an altitudinal gradient in the northern slopes of Qilianshan Mountains, Gansu, China (2003, background): “Plants with similar lifeform are expected to exhibit similar responses to environmental variations and have similar effects on the dominant ecosystem processes (Walker 1992; Noble and Gitay 1996; Pausas and Austin 2001).”
- The effects of light and soil conditions on the species richness of the ground vegetation of deciduous forests in northern Germany (Schleswig-Holstein) (2003, background): “In moist forests, therefore, a certain level of soil moisture is not only a prerequisite for the occurrence of many species in the ground vegetation (Christensen and Emborg, 1996; Pausas and Austin, 2001) but is also responsible for a site heterogeneity that allows adapted mosses and phanerogams to ”