Knowledge-Based and Intelligent Information and Engineering Systems

doi:10.1007/978-3-642-15384-6

Cited by 3 publications

(2 citation statements)

References 15 publications

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“…This minimum requirement was established because locality specificity to two decimal places equates to 1,110 m (at the equator) and is therefore sufficient for running analyses with 30 arc second spatial resolution in environmental layers (Heap & Culham, 2010).…”

Section: Occurrence Datamentioning

confidence: 99%

The future of cold‐adapted plants in changing climates: Micranthes (Saxifragaceae) as a case study

Stubbs

Soltis

Cellinese

2018

Ecology and Evolution

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Research has shown species undergoing range contractions and/or northward and higher elevational movements as a result of changing climates. Here, we evaluate how the distribution of a group of cold‐adapted plant species with similar evolutionary histories changes in response to warming climates. We selected 29 species of Micranthes (Saxifragaceae) representing the mountain and Arctic biomes of the Northern Hemisphere. For this analysis, 24,755 data points were input into ecological niche models to assess both present fundamental niches and predicted future ranges under climate change scenarios. Comparisons were made across the Northern Hemisphere between all cold‐adapted Micranthes, including Arctic species, montane species, and species defined as narrow endemics. Under future climate change models, 72% of the species would occupy smaller geographical areas than at present. This loss of habitat is most pronounced in Arctic species in general, but is also prevalent in species restricted to higher elevations in mountains. Additionally, narrowly endemic species restricted to high elevations were more susceptible to habitat loss than those species found at lower elevations. Using a large dataset and modeling habitat suitability at a global scale, our results empirically model the threats to cold‐adapted species as a result of warming climates. Although Arctic and alpine biomes share many underlying climate similarities, such as cold and short growing seasons, our results confirm that species in these climates have varied responses to climate change and that key abiotic variables differ between these two habitats.

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Section: Occurrence Datamentioning

confidence: 99%

The future of cold‐adapted plants in changing climates: Micranthes (Saxifragaceae) as a case study

Stubbs

Soltis

Cellinese

2018

Ecology and Evolution

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“…Even being more restrictive than usual procedures to select records from biological collections, the set of steps described here still do not encompass other data cleaning techniques, such as checking for a possible conflict between the provided altitude and the corresponding value from a Digital Elevation Model at the given coordinates (Chapman 2005), looking for inconsistencies in collectors' itineraries and verifying the species kingdom (Heap & Culham 2010) as there can be homonyms across different kingdoms. Additionally, automatic filters may not detect problems in all situations.…”

Section: Resultsmentioning

confidence: 99%

The Real Task of Selecting Records for Ecological Niche Modelling

Giovanni¹,

Bernacci²,

Siqueira³

et al. 2012

NatCon

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Biological collections evoke contrasting feelings for being such a vast source of biodiversity data which is prone to all sorts of errors and uncertainties. The situation is not different for Brazilian herbaria, currently sharing more than two million easily accessible records on the Web. Properly dealing with this reality is a crucial task when using this kind of data for ecological niche modelling (ENM), so that errors and uncertainties do not generate misleading results in conservation. Here we investigate some of the issues that can be found in herbarium specimen data, describing a set of automatic procedures that can be used for a prior selection of records for ENM. In total, 11531 records for 135 species of Passifloraceae that natively occur in Brazil were analyzed considering different spatial resolutions, ranging from 30 arc-seconds to 10 arc-minutes. After applying the procedures, the proportion of spatially unique records was 9.3% for the highest resolution considering all species, with an average number of 8 records selected per species. These numbers increased to 17% and 16, respectively, for all other resolutions. This scenario highlights the importance of using data quality filters and further developing ENM presence-only methods that can work with a low number of records per species. Automatic procedures still cannot discard expert review, but they can greatly facilitate it by drawing attention to a much smaller number of records potentially useful for ENM. Most of the data quality procedures described here can also be applied to other taxonomic groups, regions and specimen data sources.

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