Evidence map›Paper›PMID 29985437›Full record

ArticleScientific reports2018

Hotspots within a global biodiversity hotspot - areas of endemism are associated with high mountain ranges.

Jalil Noroozi, Amir Talebi, Moslem Doostmohammadi, Sabine B Rumpf, Hans Peter Linder, Gerald M Schneeweiss

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 1 pooled it
–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

65 citing papers in PubMed, 1 synthesis or guideline pooled it.

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5 more citing papers are in PubMed but not listed here.

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

6 authors.

Jalil NorooziDepartment of Botany and Biodiversity Research, University of Vienna, Vienna, Austria. jalil.noroozi@univie.ac.at.ORCID 0000-0003-4124-2359
Amir TalebiDepartment of Plant Science, University of Tehran, Tehran, Iran.
Moslem DoostmohammadiDepartment of Plant Science, University of Tehran, Tehran, Iran.ORCID 0000-0003-1777-6676
Sabine B RumpfDepartment of Botany and Biodiversity Research, University of Vienna, Vienna, Austria.ORCID 0000-0001-5909-9568
Hans Peter LinderInstitute of Systematic and Evolutionary Botany, University of Zürich, Zürich, Switzerland.
Gerald M SchneeweissDepartment of Botany and Biodiversity Research, University of Vienna, Vienna, Austria.ORCID 0000-0003-2811-3317

Funding

Austrian Science Fund FWF P 28489Austrian Science Fund (FWF Der Wissenschaftsfonds) 28489-B29
6 · The paper itself

Abstract

Conservation biology aims at identifying areas of rich biodiversity. Currently recognized global biodiversity hotspots are spatially too coarse for conservation management and identification of hotspots at a finer scale is needed. This might be achieved by identification of areas of endemism. Here, we identify areas of endemism in Iran, a major component of the Irano-Anatolian biodiversity hotspot, and address their ecological correlates. Using the extremely diverse sunflower family (Asteraceae) as our model system, five consensus areas of endemism were identified using the approach of endemicity analysis. Both endemic richness and degree of endemicity were positively related to topographic complexity and elevational range. The proportion of endemic taxa at a certain elevation (percent endemism) was not congruent with the proportion of total surface area at this elevation, but was higher in mountain ranges. While the distribution of endemic richness (i.e., number of endemic taxa) along an elevational gradient was hump-shaped peaking at mid-elevations, the percentage of endemism gradually increased with elevation. Patterns of endemic richness as well as areas of endemism identify mountain ranges as main centres of endemism, which is likely due to high environmental heterogeneity and strong geographic isolation among and within mountain ranges. The herein identified areas can form the basis for defining areas with conservation priority in this global biodiversity hotspot.

Identifiers

PMID29985437
PMCPMC6037708

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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.