Prediction of bird community composition based on point‐occurrence data and inferential algorithms: a valuable tool in biodiversity assessments
By T. Patricia Feria A., A. Townsend Peterson. 2002
115 citations recorded by the source corpus.
Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/2fc9a7d9f8e96628219e0261043d728af26a3307
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
- A. Townsend Peterson
- R. P. Anderson
- Miguel B. Araújo
- Jorge M. Lobo
- Antoine Guisan
- Jorge Soberón
- Wilfried Thuiller
- E. Martínez‐Meyer
In Ecology
- A. Townsend Peterson
- Jorge Soberón
- R. P. Anderson
- Miguel B. Araújo
- Jorge M. Lobo
- Wilfried Thuiller
- Antoine Guisan
- E. Martínez‐Meyer
In Nature and Landscape Conservation
- A. Townsend Peterson
- Miguel B. Araújo
- Jorge M. Lobo
- Antoine Guisan
- R. P. Anderson
- Wilfried Thuiller
- Jorge Soberón
- A. Jiménez‐Valverde
Citations in the corpus
- Ecological niche differentiation in the Aphelocoma jays: a phylogenetic perspective (2003, unknown): “…circumstances (Peterson & Cohoon, 1999; Peterson, Soberon & Sanchez-Cordero, 1999; Peterson & Vieglais, 2001; Anderson, Gomez & Peterson, 2002a; Anderson, Laverde & Peterson, 2002b; Feria & Peterson, 2002; Peterson et al., 2002b; Peterson, Ball & Cohoon, 2002a; Stockwell & Peterson, 2002a, b).”
- Evaluating predictive models of species’ distributions: criteria for selecting optimal models (2003, background): “GARP has proven especially successful in predicting species’ potential distributions under a wide variety of situations ( Peterson and Cohoon, 1999 ; Peterson et al., 1999, 2001, 2002a,b,c ; Godown and Peterson, 2000; Sánchez-Cordero and Mart ı́nez-Meyer, 2000; Peterson, 2001; Elith and Burgman, 200”
- Reconstructing the Pleistocene geography of the Aphelocoma jays (Corvidae) (2004, methodology): “We thank many colleagues for invaluable contributions toward the development of these methodologies, in particular David Vieglais, Ricardo Scachetti Pereira, and David Stockwell for their computational innovations.”
- Predicting species distributions from herbarium collections: does climate bias in collection sampling influence model outcomes? (2007, methodology): “Those records are then combined with explanatory variables from interpolated climate data, and sometimes topographic, vegetation and other remote-sensed data, to estimate the ecological niche and predict the potential geographical distribution of a species (e.g. Elith & Burgmann, 2002; Feria & Peter”
- Uses and misuses of bioclimatic envelope modeling. (2012, background): “Once envelopes are estimated, they can be applied to a variety of interesting questions, including discovery of new populations (e.g., Feria and Peterson 2002, Bourg et al. 2005), discovery of previously unknown species (e.g., Raxworthy et al. 2003), conser- vation planning (e.g., Williams et al.…”
- Five (or so) challenges for species distribution modelling (2006, background): “The problem of non-independence is not overridden by carrying out additional field sampling for testing models within the modelled region (e.g. Feria & Peterson, 2002; Raxworthy et al., 2003; Elith et al., 2006; Stockman et al., 2006) because test data may be spatially autocorrelated with the data…”
- An evaluation of methods for modelling species distributions (2004, background): “In most circumstances, model performance can only be estimated through qualitative assessments (but for example of quantitative assessment see Feria & Peterson, 2002).”
- Predicting the spatial distribution of an invasive plant species (Eupatorium adenophorum) in China (2007, methodology): “The general approach is described in greater detail by Feria and Peterson (2002).”
- SEASONAL NICHES OF NEARCTIC-NEOTROPICAL MIGRATORY BIRDS: IMPLICATIONS FOR THE EVOLUTION OF MIGRATION (2004, background): “Although much more distributional information clearly exists for those species, our sources provided more-than-suffi cient information for development of predictive models (Stockwell and Peterson 2002b).”
- The importance of biotic interactions in species distribution models: a test of the Eltonian noise hypothesis using parrots (2014, background): “There are still many challenges facing the field, and factors such as sample size (Stockwell & Peterson, 2002; Hernandez et al., 2006), spatial scale (Lassueur et al., 2006; Guisan et al., 2007; Trivedi et al., 2008) and the nature of the environmental data set Journal of Biogeography 41, 513–523 ª…”
- Creating individual accessible area hypotheses improves stacked species distribution model performance (2018, methodology): “Species distribution models (SDMs) are seen as an important method towards estimating a species’ distributional extent (Feria & Peterson, 2002; Peterson et al., 2011; Sober on & Peterson, 2005).”
- Ecological niche modeling as a predictive tool: silver and bighead carps in North America (2006, methodology): “GARP modeling has been discussed in detail in e.g., Anderson et al. (2003), Feria and Peterson (2002), Levine et al. (2004) and Wiley et al. (2003).”