Evidence map›Paper›PMID 35429166›Full record

ArticleThe New phytologist2022

An integrated high-resolution mapping shows congruent biodiversity patterns of Fagales and Pinales.

Lisha Lyu, Flurin Leugger, Oskar Hagen, Fabian Fopp, Lydian M Boschman, Joeri Sergej Strijk, Camille Albouy, Dirk N Karger, Philipp Brun, Zhiheng Wang and 2 more

Abstract read
In one paragraph

Article in The New phytologist, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Lisha LyuDepartment of Environmental System Science, ETH Zürich, Universitätstrasse 16, 8092, Zürich, Switzerland.ORCID 0000-0001-7855-8109
Flurin LeuggerDepartment of Environmental System Science, ETH Zürich, Universitätstrasse 16, 8092, Zürich, Switzerland.ORCID 0000-0001-9027-6892
Oskar HagenDepartment of Environmental System Science, ETH Zürich, Universitätstrasse 16, 8092, Zürich, Switzerland.ORCID 0000-0002-7931-6571
Fabian FoppDepartment of Environmental System Science, ETH Zürich, Universitätstrasse 16, 8092, Zürich, Switzerland.ORCID 0000-0003-0648-8484
Lydian M BoschmanDepartment of Environmental System Science, ETH Zürich, Universitätstrasse 16, 8092, Zürich, Switzerland.ORCID 0000-0002-1802-0187
Joeri Sergej StrijkInstitute for Biodiversity and Environmental Research, Universiti Brunei Darussalam, Jalan Tungku Link, Gadong, BE1410, Brunei Darussalam.ORCID 0000-0003-1109-7015
Camille AlbouyIFREMER, Unité Écologie et Modèles pour l'Hallieutique, rue I'lle d'Yeau, BP21105, 44311, Nantes Cedex 3, France.ORCID 0000-0003-1629-2389
Dirk N KargerSwiss Federal Institute for Forest, Snow and Landscape Research WSL, Zürcherstrasse 111, 8903, Birmensdorf, Switzerland.ORCID 0000-0001-7770-6229
Philipp BrunSwiss Federal Institute for Forest, Snow and Landscape Research WSL, Zürcherstrasse 111, 8903, Birmensdorf, Switzerland.ORCID 0000-0002-2750-9793
Zhiheng WangInstitute of Ecology and Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, 100871, Beijing, China.
Niklaus E ZimmermannDepartment of Environmental System Science, ETH Zürich, Universitätstrasse 16, 8092, Zürich, Switzerland.ORCID 0000-0003-3099-9604
Loïc PellissierDepartment of Environmental System Science, ETH Zürich, Universitätstrasse 16, 8092, Zürich, Switzerland.ORCID 0000-0002-2289-8259

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 considering multiple modelling algorithms, complexity levels, and pseudo-absence selections to map the species at a high spatial resolution and intersect it with the generated polygons. We use this approach to construct range maps for all 1957 species of Fagales and Pinales with data compilated from multiple sources. We construct high-resolution global species richness maps of these important plant clades, and document diversity hotspots for both clades in southern and south-western China, Central America, and Borneo. We validate the approach with two representative genera, Quercus and Pinus, using previously published coarser range maps, and find good agreement. By efficiently producing high-resolution range maps, our mapping approach offers a new tool in the field of macroecology for studying global species distribution patterns and supporting ongoing conservation efforts.

Indexed as

FagalesPinalesBiodiversityChinaConservation of Natural ResourcesPlantsbiodiversityFagalesmappingPinalespolygon (hull)range mapspecies distribution modelling (SDM)species richness

Identifiers

PMID35429166
PMCPMC9323436

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.