Evidence map›Paper›PMID 31627275›Full record

ArticleSensors (Basel, Switzerland)2019

Causality of Biodiversity Loss: Climate, Vegetation, and Urbanization in China and America.

Danlu Cai, Klaus Fraedrich, Yanning Guan, Shan Guo, Chunyan Zhang, Leila M V Carvalho, Xiuhua Zhu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Danlu CaiInstitute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China. caidl@radi.ac.cn.ORCID 0000-0002-8986-1354
Klaus FraedrichMax-Planck-Institute for Meteorology, 20146 Hamburg, Germany. Klaus.Fraedrich@mpimet.mpg.de.
Yanning GuanInstitute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China. guanyn@radi.ac.cn.
Shan GuoInstitute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China. guoshan@irsa.ac.cn.
Chunyan ZhangInstitute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China. zhangcy@radi.ac.cn.
Leila M V CarvalhoDepartment of Geography, Earth Research Institute, University of California Santa Barbara, Santa Barbara, CA 93106, USA. leila@eri.ucsb.edu.ORCID 0000-0002-8662-1953
Xiuhua ZhuCenter for Earth System and Sustainability, Hamburg University, 20146 Hamburg, Germany. semv097@uni-hamburg.de.

Funding

Strategic Priority Research Program of Chinese Academy of Sciences XDA23100500
6 · The paper itself

Abstract

Essential for directing conservation resources is to identify threatened vertebrate regions and diagnose the underlying causalities. Through relating vertebrates and threatened vertebrates to the rainfall-runoff chain, to the food chain, and to the human impact of urbanization, the following relationships are noticed: (i) The Earth's vertebrates generally show increasing abundance and decreasing threatened species indicator (threatened species number/species abundance) for a higher Normalized Difference Vegetation Index (NDVI) or larger city-size. (ii) Regional vertebrates reveal a notable 'U-shape profile' ('step-like jump') of threatened species indicator occurs in the moderate (high) NDVI regions in China (America). (iii) Positive/green city states emerge in China and are characterized by the lowest threatened species indicators in areas of low to moderate greenness, where the greenness trend of change during the last 30 years is about three times higher in the urbanized areas than over land. (iv) Negative/brown city states emerge in America revealing high threatened species indicators for greenness exceeding NDVI > 0.2, where similar greenness trends are of both urbanized and land areas. The occurrence of green and brown city states suggests a biodiversity change pattern characterized by the threatened species indicator declining from city regimes with high to those with low indicator values for increasing ratio of the city-over-land NDVI trends.

Indexed as

BiodiversityEcosystemEnvironmental MonitoringAnimalsChinaCitiesClimateHumansTemperatureUnited StatesUrbanizationVertebratesgreen and brown citiesnight-light citiesrainfall-runoff chainthreatened vertebratesvegetation greenness

Identifiers

PMID31627275
PMCPMC6832388

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.