Evidence map›Paper›PMID 26902418›Full record

ArticleScientific reports2016

Disentangling the determinants of species richness of vascular plants and mammals from national to regional scales.

Haigen Xu, Mingchang Cao, Yi Wu, Lei Cai, Yun Cao, Jun Wu, Juncheng Lei, Zhifang Le, Hui Ding, Peng Cui

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Description ofBiodiversity data journal · 2026
    Article
  2. Article
  3. Phylogeography ofForestry research · 2023
    Article
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  7. Review
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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

10 authors.

Haigen XuNanjing Institute of Environmental Sciences, Ministry of Environmental Protection, Nanjing 210042, China.
Mingchang CaoNanjing Institute of Environmental Sciences, Ministry of Environmental Protection, Nanjing 210042, China.
Yi WuCollege of Forest Resources and Environment, Nanjing Forestry University, Nanjing 210037, China.
Lei CaiDepartment of Natural Ecology Conservation, Ministry of Environmental Protection, Beijing 100035, China.
Yun CaoNanjing Institute of Environmental Sciences, Ministry of Environmental Protection, Nanjing 210042, China.
Jun WuNanjing Institute of Environmental Sciences, Ministry of Environmental Protection, Nanjing 210042, China.
Juncheng LeiCollege of Forest Resources and Environment, Nanjing Forestry University, Nanjing 210037, China.
Zhifang LeNanjing Institute of Environmental Sciences, Ministry of Environmental Protection, Nanjing 210042, China.
Hui DingNanjing Institute of Environmental Sciences, Ministry of Environmental Protection, Nanjing 210042, China.
Peng CuiNanjing Institute of Environmental Sciences, Ministry of Environmental Protection, Nanjing 210042, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the spatial patterns in species richness gets new implication for biodiversity conservation in the context of climate change and intensified human intervention. Here, we created a database of the geographical distribution of 30,519 vascular plant species and 565 mammal species from 2,376 counties across China and disentangled the determinants that explain species richness patterns both at national and regional scales using spatial linear models. We found that the determinants of species richness patterns varied among regions: elevational range was the most powerful predictor for the species richness of plants and mammals across China. However, species richness patterns in the Qinghai-Tibetan Plateau Region (QTR) are quite unique, where net primary productivity was the most important predictor. We also detected that elevational range was positively related to plant species richness when it is less than 1,900 m, whereas the relationship was not significant when elevational range is larger than 1,900 m. It indicated that elevational range often emerges as the predominant controlling factor within the regions where energy is sufficient. The effects of land use on mammal species richness should attract special attention. Our study suggests that region-specific conservation policies should be developed based on the regional features of species richness.

Indexed as

BiodiversityAltitudeAnimal DistributionAnimalsChinaClimateClimate ChangeLinear ModelsMammalsPlant DispersalSpecies SpecificityTracheophyta

Identifiers

PMID26902418
PMCPMC4763236

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Registered trials

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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.