2022
DOI: 10.1111/nph.18158
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An integrated high‐resolution mapping shows congruent biodiversity patterns of Fagales and Pinales

Abstract: Summary The documentation of biodiversity distribution through species range identification is crucial for macroecology, biogeography, conservation, and restoration. However, for plants, species range maps remain scarce and often inaccurate. We present a novel approach to map species ranges at a global scale, integrating polygon mapping and species distribution modelling (SDM). We develop a polygon mapping algorithm by considering distances and nestedness of occurrences. We further apply an SDM approach cons… Show more

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Cited by 12 publications
(14 citation statements)
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References 89 publications
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“…2c). Species richness patterns recovered here overall compare closely to those reported in Fagales in a recent methodological contribution (Lyu et al, 2022).…”
Section: Discussionsupporting
confidence: 85%
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“…2c). Species richness patterns recovered here overall compare closely to those reported in Fagales in a recent methodological contribution (Lyu et al, 2022).…”
Section: Discussionsupporting
confidence: 85%
“…Western and central Europe formed an additional hotspot of species richness that could represent sampling intensity bias. However, high species richness in this area has been identified before in Fagales (Lyu et al, 2022) and is also reflected in a recent investigation of actinorhizal RNS species including Fagales (Tamme et al, 2021: Fig. 2c).…”
Section: Discussionsupporting
confidence: 67%
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“…According to Gallien et al (2012), background points created to calibrate regional ENMs were given a different weight depending on committee averaging values generated by global ENMs (Appendix S1). As to regional ENMs, we adopted a mixed strategy depending on the species number of occurrences (Di Febbraro et al, 2018; Lyu et al, 2022). In particular, we calibrated the so‐called ‘ensemble of small models’ (Breiner et al, 2018) for those species reporting fewer than 50 occurrences in either scientific survey or citizen science data sets (Santini et al, 2021), that is, considering all possible combinations of the 21 environmental variables taken two at a time.…”
Section: Methodsmentioning
confidence: 99%
“…Some researchers have used grid counting methods to statistically determine the species number of the grids (Li et al, 2021). However, the reality is that the distribution data of some species meet the need for niche modelling and others do not, and the SDM + grid counting method is generally combined to better explore the biodiversity pattern (Lyu et al, 2022). The resolution of areas depends on the environmental variables, and it could supply practical advice for PA construction.…”
Section: Limitations and Implicationsmentioning
confidence: 99%