The crucial role of the accessible area in ecological niche modeling and species distribution modeling

Barve, Narayani; Barve, Vijay; Jiménez‐Valverde, Alberto; Lira‐Noriega, Andrés; Maher, Sean P.; Peterson, A. Townsend; Soberón, Jorge; Villalobos, Fabricio

doi:10.1016/j.ecolmodel.2011.02.011

Cited by 1,476 publications

(1,360 citation statements)

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“…Our results can inform studies exploring sympatric ranges and niche evolution versus conservatism for related species, where analyses theoretically should be focused at the extent scale at which the phenomena of interest are dominant (Turner et al 2001). In light of our findings and those of Anderson and Raza (2010) and Barve et al (2011), we should be cautious of selecting the extent and recognize that the extent has been accessible to the species of interest over relevant time periods representing the ideal extent for implementing SMDs.…”

Section: Effects Of the Extent Of The Study Region On Predicted Distrmentioning

confidence: 72%

“…The selection of an appropriate extent which is relevant for all correlative SDMs employing background, pseudo-absence, or absence data (Bahn and McGill 2007;Barve et al 2011;Chefaoui and Lobo 2008) may help resolve debates regarding model generality/transferability across space and time (e.g., Duncan et al 2009). Our results support the hypothesis that SDMs predict differently when different methods of defining the extent are used (Anderson and Raza 2010;Barve et al 2011;VanDerWal et al 2009). Of the two methods applied here, Anderson and Raza (2010) found that method 2 performed better than method 1; models using method 2 at narrower extents predicted larger suitable areas which were less concentrated in regions surrounding species' localities, as well as higher interpredictivity.…”

Section: Effects Of the Extent Of The Study Region On Predicted Distrmentioning

confidence: 99%

“…Geometric shapes such as rotated rectangles and buffered minimum convex polygons, rather than the smaller rectangular extent used in method 2, have been suggested (Anderson and Raza 2010). However, if only part of an important environmental gradient is sampled, an overly constrained extent may underestimate the importance of coarse resolution factors such as climate in delimiting species' distributions and can lead to an incorrect interpretation (Barve et al 2011;Van Horn 2002). Typically, a useful framework for assessing the environment-biota relationship is as a hierarchy (defined as being a system of interconnections wherein the higher levels constrain the lower levels to various degrees) of factors operating at different scales (Pearson and Dawson 2003;Turner et al 2001).…”

Section: Effects Of the Extent Of The Study Region On Predicted Distrmentioning

confidence: 99%

“…The proportional geographic overlap was calculated in three ways based on overlap between potential distributions of Procapra species as a proportion of: (1) the number of pixels with data in the larger study region; (2) the number of pixels in the prediction for each respective species alone; and (3) the number of pixels predicted for either species. The last measure provides the best single indicator of the amount of geographic overlap between the predictions of gazelles (Anderson and Raza 2010) Barve et al 2011), are relevant to SMDs in many study areas. Our results can inform studies exploring sympatric ranges and niche evolution versus conservatism for related species, where analyses theoretically should be focused at the extent scale at which the phenomena of interest are dominant (Turner et al 2001).…”

Section: Effects Of the Extent Of The Study Region On Predicted Distrmentioning

confidence: 99%

“…Compared with spatial resolution, which has attracted substantial attention (e.g., Braunisch and Suchant 2010;Hu and Jiang 2010), the extent of the study region has until recently been ignored, or at least has not been considered explicitly in most studies (e.g., Costa and Schlupp 2010; but see Acevedo et al 2012;Anderson and Raza 2010;Barve et al 2011). Because patterns observed on one scale may not be apparent on another, it is essential to understand the theory and processes driving the observed distribution patterns in order to avoid a mismatch between the scale used for modeling and the one at which key processes occur (Guisan and Thuiller 2005).…”

Section: Introductionmentioning

confidence: 99%

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Detecting the potential sympatric range and niche divergence between Asian endemic ungulates of Procapra

Jiang

2012

Naturwissenschaften

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Species distribution modeling (SDM) is increasingly used to reveal biogeographical relationships, for example the sympatric range for species coexistence, and fundamental questions about niche evolution between related species. We explored the sympatric ranges between three Procapra species (Procapra przewalskii, Procapra Picticaudata, and Procapra gutturosa) via two methods of defining the study region (method 1, in which models were developed in a larger region including the whole geographic range of Procapra, and method 2 in which a smaller region surrounding focal species' localities was used and then projected to the larger region). We also quantified environmental niche divergence between gazelles across the whole range in Procapra. Models for gazelles generally performed well. Compared with method 2, method 1 led to larger predicted areas with high suitability and was less concentrated around known localities. Clamping, which deals with variables outside the training range, varied between gazelles and occurred primarily in regions unsuitable for respective species. For all gazelle pairs, models revealed an overlap zone where more than one species should occur, while the estimates varied between the two methods. Moreover, we found that the niche overlap was closely associated with geographic distance but not with phylogenetic distance among gazelles. Our findings indicate that SDM is a useful tool for testing whether related species tend to be in sympatry at large scales, with method 1 leading to more realistic predictions for Procapra. This study provides evidence of a distinct niche divergence among related species and supports the theory that ecological speciation plays a significant role in lineage generation.

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Section: Effects Of the Extent Of The Study Region On Predicted Distrmentioning

confidence: 72%

Section: Effects Of the Extent Of The Study Region On Predicted Distrmentioning

confidence: 99%

Section: Effects Of the Extent Of The Study Region On Predicted Distrmentioning

confidence: 99%

Section: Effects Of the Extent Of The Study Region On Predicted Distrmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Detecting the potential sympatric range and niche divergence between Asian endemic ungulates of Procapra

Jiang

2012

Naturwissenschaften

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Quantifying the stability of planktic foraminiferal physical niches between the Holocene and Last Glacial Maximum

et al. 2017

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The application of transfer functions on fossil assemblages to reconstruct past environments is fundamentally based on the assumption of stable environmental niches in both space and time. We quantitatively test this assumption for six dominant planktic foraminiferal species (Globigerinoides ruber (pink), G. ruber (white), Trilobatus sacculifer, Truncorotalia truncatulinoides, Globigerina bulloides, and Neogloboquadrina pachyderma) by contrasting reconstructions of species realized and optimum distributions in the modern and during the Last Glacial Maximum (LGM) using an ecological niche model (ENM; MaxEnt) and ordination framework. Global ecological niche models calibrated in the modern ocean have high predictive performance when projected to the LGM for subpolar and polar species, indicating that the environmental niches of these taxa are largely stable at the global scale across this interval. In contrast, ENMs had much poorer predictive performance for the optimal niche of tropical‐dwelling species, T. sacculifer and G. ruber (pink). This finding is supported by independent metrics of niche margin change, suggesting that niche stability in environmental space was greatest for (sub)polar species, with greatest expansion of the niche observed for tropical species. We find that globally calibrated ENMs showed good predictions of species occurrences globally, whereas models calibrated in either the Pacific or Atlantic Oceans only and then projected globally performed less well for T. sacculifer. Our results support the assumption of environmental niche stability over the last ~21,000 years for most of our focal planktic foraminiferal species and, thus, the application of transfer function techniques for palaeoenvironmental reconstruction during this interval. However, the lower observed niche stability for (sub)tropical taxa T. sacculifer and G. ruber (pink) suggests that (sub)tropical temperatures could be underestimated in the glacial ocean with the strongest effect in the equatorial Atlantic where both species are found today.

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Latent Factor Models: A Tool for Dimension Reduction in Joint Species Distribution Models

Bystrova

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Arbel

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Statistical Approaches for Hidden Variables in Ecology

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The crucial role of the accessible area in ecological niche modeling and species distribution modeling

Cited by 1,476 publications

References 71 publications

Detecting the potential sympatric range and niche divergence between Asian endemic ungulates of Procapra

Detecting the potential sympatric range and niche divergence between Asian endemic ungulates of Procapra

Quantifying the stability of planktic foraminiferal physical niches between the Holocene and Last Glacial Maximum

Latent Factor Models: A Tool for Dimension Reduction in Joint Species Distribution Models

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