Evidence map›Paper›PMID 28933770›Full record

ArticleInternational journal of environmental research and public health2017

Effects of Land Use/Cover Changes and Urban Forest Configuration on Urban Heat Islands in a Loess Hilly Region: Case Study Based on Yan'an City, China.

Xinping Zhang, Dexiang Wang, Hongke Hao, Fangfang Zhang, Youning Hu

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. An Empirical Study on Low-Carbon: Human Resources Performance Evaluation.International journal of environmental research and public health · 2018
    Article
  9. The Development Evaluation of Economic Zones in China.International journal of environmental research and public health · 2018
    Article
  10. 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

5 authors.

Xinping ZhangCollege of Forestry, Northwest A&F University, Yangling 712100, China. jhonxinping81@nwsuaf.edu.cn.
Dexiang WangCollege of Forestry, Northwest A&F University, Yangling 712100, China. wangdx66@sohu.com.ORCID 0000-0002-3820-9585
Hongke HaoCollege of Forestry, Northwest A&F University, Yangling 712100, China. hhk_2008@126.com.
Fangfang ZhangGaoling Branch School, Shaanxi Agricultural Broadcasting and Television School, Xi'an 710200, China. huyouning@163.com.
Youning HuCollege of Forestry, Northwest A&F University, Yangling 712100, China. yuanyi0918@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study Yan'an City, a typical hilly valley city, was considered as the study area in order to explain the relationships between the surface urban heat island (SUHI) and land use/land cover (LULC) types, the landscape pattern metrics of LULC types and land surface temperature (LST) and remote sensing indexes were retrieved from Landsat data during 1990-2015, and to find factors contributed to the green space cool island intensity (GSCI) through field measurements of 34 green spaces. The results showed that during 1990-2015, because of local anthropogenic activities, SUHI was mainly located in lower vegetation cover areas. There was a significant suburban-urban gradient in the average LST, as well as its heterogeneity and fluctuations. Six landscape metrics comprising the fractal dimension index, percentage of landscape, aggregation index, division index, Shannon's diversity index, and expansion intensity of the classified LST spatiotemporal changes were paralleled to LULC changes, especially for construction land, during the past 25 years. In the urban area, an index-based built-up index was the key positive factor for explaining LST increases, whereas the normalized difference vegetation index and modified normalized difference water index were crucial factors for explaining LST decreases during the study periods. In terms of the heat mitigation performance of green spaces, mixed forest was better than pure forest, and the urban forest configuration had positive effects on GSCI. The results of this study provide insights into the importance of species choice and the spatial design of green spaces for cooling the environment.

Indexed as

ClimateForestsHot TemperatureChinaCitieslandscape pattern analysisland surface temperaturesingle-channel algorithmspatial random point analysisurban green space cooling island

Identifiers

PMID28933770
PMCPMC5580544

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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.