Assessment of alternative approaches for bioclimatic modeling with special emphasis on the Mahalanobis distance

Farber, Oren; Kadmon, Ronen

doi:10.1016/s0304-3800(02)00327-7

Cited by 302 publications

(274 citation statements)

References 51 publications

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“…To reduce this error, outliers were identified by a multi-dimensional-based approach using Mahalanobis distances [47] and were eliminated if they occurred outside the 5-95th range of the niche space using the raster package [48] in R [49]. In this process, the climatic combinations at each site of the occurrence were given a Mahalanobis distance in relation to a vector describing the mean conditions found within the dataset, which is assumed to represent the 'optimal' climatic niche of the species [47]. In this way, any site with different environmental conditions from the mean climatic niche can be identified.…”

Section: Seed Zone Delimitation Of P Orientalis and Occurrence Data mentioning

confidence: 99%

Predicting Future Seed Sourcing of Platycladus orientalis (L.) for Future Climates Using Climate Niche Models

Wang

Liu

et al. 2017

Forests

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Climate niche modeling has been widely used to assess the impact of climate change on forest trees at the species level. However, geographically divergent tree populations are expected to respond differently to climate change. Considering intraspecific local adaptation in modeling species responses to climate change will thus improve the credibility and usefulness of climate niche models, particularly for genetic resources management. In this study, we used five Platycladus orientalis (L.) seed zones (Northwestern; Northern; Central; Southern; and Subtropical) covering the entire species range in China. A climate niche model was developed and used to project the suitable climatic conditions for each of the five seed zones for current and various future climate scenarios (Representative Concentration Pathways: RCP2.6, RCP4.5, RCP6.0, and RCP8.5). Our results indicated that the Subtropical seed zone would show consistent reduction for all climate change scenarios. The remaining seed zones, however, would experience various degrees of expansion in suitable habitat relative to their current geographic distributions. Most of the seed zones would gain suitable habitats at their northern distribution margins and higher latitudes. Thus, we recommend adjusting the current forest management strategies to mitigate the negative impacts of climate change.

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Section: Seed Zone Delimitation Of P Orientalis and Occurrence Data mentioning

confidence: 99%

Predicting Future Seed Sourcing of Platycladus orientalis (L.) for Future Climates Using Climate Niche Models

Wang

Liu

et al. 2017

Forests

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“…We selected nine eNM techniques, consisting of a variety of methods and concepts, and combined them into three groups from which were generated ensemble forecasting predictions: (i) bioclimatic envelope and distance-based models -BIOCLIM (Busby 1991), Gower distance (Carpenter et al 1993), Mahalanobis distance (Farber and Kadmon 2003), and ensemble forecasting of bioclimatic envelope and distance models; (ii) statistical models -Generalized Linear Models (GLM; McCullagh and Nelder 1989), Generalized Additive Models (GAM; Hastie and Tibshirani 1990) (Breiman 2001), and ensemble forecasting of machine learning. The ensemble consensuses were generated by a mean of all single-models for each group considered.…”

Section: Ecological Niche Modeling Approachmentioning

confidence: 99%

Climatically-mediated landcover change: impacts on Brazilian territory

Zanin

Tessarolo

Machado

et al. 2017

An. Acad. Bras. Ciênc.

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In the face of climate change threats, governments are drawing attention to policies for mitigating its effects on biodiversity. However, the lack of distribution data makes predictions at species level a difficult task, mainly in regions of higher biodiversity. To overcome this problem, we use native landcover as a surrogate biodiversity, because it can represent specialized habitat for species, and investigate the effects of future climate change on Brazilian biomes. We characterize the climatic niches of native landcover and use ecological niche modeling to predict the potential distribution under current and future climate scenarios. Our results highlight expansion of the distribution of open vegetation and the contraction of closed forests. Drier Brazilian biomes, like Caatinga and Cerrado, are predicted to expand their distributions, being the most resistant to climate change impacts. However, these would also be affected by losses of their closed forest enclaves and their habitat-specific or endemic species. Replacement by open vegetation and overall reductions are a considerable risk for closed forest, threatening Amazon and Atlantic forest biomes. Here, we evidence the impacts of climate change on Brazilian biomes, and draw attention to the necessity for management and attenuation plans to guarantee the future of Brazilian biodiversity.

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“…The magnitude and direction of the biases introduced through the use of an imperfect reference vary as a function of the quality of the reference data and its relationship to the data evaluated (Valenstein, 1990). It is, therefore, important to base an accuracy assessment on high quality reference data (Farber and Kadmon, 2003).…”

Section: Accuracy and Comparisonmentioning

confidence: 99%

“…One feature often stressed in the ecological literature is that a useful measure of accuracy should be independent of prevalence (Manel et al, 2001). Thus, the use of some of the popular measures which are prevalent dependent, such as the overall accuracy and positive predicted value, is often discouraged in ecological applications discouraged (Fielding and Bell, 1997;Manel et al, 2001;Farber and Kadmon, 2003;Freeman and Moisen, 2008). It should be noted that the popular kappa coefficient of agreement is also prevalent dependent (Manel et al, 2001;McPherson et al, 2004;Freeman and Moisen, 2008) and prevalence correction may be unsuitable (Hoehler, 2000).…”

Section: Accuracy and Comparisonmentioning

confidence: 99%

An overview of recent remote sensing and GIS based research in ecological informatics

Boyd

Foody

2011

Ecological Informatics

111

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This article provides an overview of some of the recent research in ecological informatics involving remote sensing and GIS. Attention focuses on a selected range of issues including topics such as the nature of remote sensing data sets, issues of accuracy and uncertainty, data visualization and sharing activities as well as developments in aspects of ecological modeling research. It is shown that considerable advances have been made over recent years and foundations for future research established. BackgroundGeotechnology has been couched as one of the three "mega-technologies" of the 21 st century, along with nanotechnology and biotechnology (Gewin, 2004). On the cusp of the second decade of the 21 st century it is evident that recent developments in the geotechnologies of Geographic Information Science (GIS) and remote sensing have had a substantial impact on ecological research, providing spatial data and associated information to enable the further understanding of ecological systems (Rundell et al., 2009). In a digital society there is sometimes an expectation that information is just a click away and this may apply to spatial information in the domain of ecological informatics. Indeed, it has been in the last five years that developments in and relating to the fields of GIS and remote sensing, such as those seen in internet technologies (e.g., Web 2.0; high performance communication networks; Brunt et al., 2007), sensing technology (e.g., quantum well infrared photodetectors; Krabach, 2000), data standards and interoperability (e.g., OGC® KML 2.2) and spatially explicit modeling (e.g., Osborne et al., 2007), have resulted in the revelation of previously unobservable phenomena and posing of what might be termed second generation of ecological questions. During this time we have also seen more support for the open exchange of data and software and infrastructure for location based services. This paper serves as a review of some of the recent developments in GIS and remote sensing that have been or promises to be of benefit to ecological informatics. The subjects addressed are necessarily selective and limited in scope, drawing on topics of interest to us and, we hope, to you.

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Assessment of alternative approaches for bioclimatic modeling with special emphasis on the Mahalanobis distance

Cited by 302 publications

References 51 publications

Predicting Future Seed Sourcing of Platycladus orientalis (L.) for Future Climates Using Climate Niche Models

Predicting Future Seed Sourcing of Platycladus orientalis (L.) for Future Climates Using Climate Niche Models

Climatically-mediated landcover change: impacts on Brazilian territory

An overview of recent remote sensing and GIS based research in ecological informatics

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