To Fit or Not to Fit? A Poorly Fitting Procedure Produces Inconsistent Results When the Species–Area Relationship is used to Locate Hotspots

By Simone Fattorini. Biodiversity and Conservation, 2007

70 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/fe00296ce86712081b68aec2b23deb849e51f154

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

1. Corey J. A. Bradshaw
2. N. Sodhi
3. H. Tan
4. Lihu Dong
5. Lianjun Zhang
6. Jürgen Dengler
7. Fengri Li
8. Xingli Giam

In Ecology, Evolution, Behavior and Systematics

1. Corey J. A. Bradshaw
2. H. Tan
3. Lihu Dong
4. Lianjun Zhang
5. Jürgen Dengler
6. Fengri Li
7. Xingli Giam
8. N. Sodhi

In Nature and Landscape Conservation

1. Corey J. A. Bradshaw
2. Lihu Dong
3. Fengri Li
4. Lianjun Zhang
5. H. Tan
6. Jürgen Dengler
7. Xingli Giam
8. N. Sodhi

Citations in the corpus

• Which function describes the species–area relationship best? A review and empirical evaluation (2009, methodology): “…for species sampling relationships and not for real SARs); (3) there is no general agreement on how to select the ‘best’ model (Connor & McCoy, 1979; Fattorini, 2007); (4) despite general acknowledgement of the effect of different transformations of the dependent variable, for example as S, log…”
• A compatible system of biomass equations for three conifer species in Northeast, China (2014, methodology): “Therefore, data analysis and modeling should be carried out on the original data of measurement using the nonlinear power function (Fattorini, 2007; Packard and Birchard, 2008; Packard, 2009; Bi et al., 2004).”
• Future habitat loss and the conservation of plant biodiversity (2010, methodology): “…that the curvilinear form of the SAR is likely to provide a more realistic detection of the hotspots of endangerment compared to the linearized form (Fattorini, 2007); hence, we first fitted the curvilinear form of the power-law SAR using the nls function in R v.2.8 (R Development Core Team, 2008).”
• Shapes and functions of species–area curves (II): a review of new models and parameterizations (2009, unknown): “Fattorini (2007), who applied five models plus a linearized power model to the distribution of butterflies in Europe, reports the linearized power function and the Archibald logistic (which he calls the ‘He–Legendre model’) produces the best fit.”