Evidence map›Paper›PMID 36294183›Full record

ArticleInternational journal of environmental research and public health2022

Spatial Differentiation and Tradeoff-Synergy of Rural Multifunction at the County Scale in Anhui Province in the China's Traditional Agricultural Areas.

Rongtian Zhang

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 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

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Evaluating Spatial Identity Based on Climate Adaptation in Small Cities.International journal of environmental research and public health · 2022
    Article
4 · The record

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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

1 author.

Rongtian ZhangInstitute of Rural Revitalization Strategy, Yangzhou University, Yangzhou 225009, China.

Funding

Research Project of National Agricultural Professional Degree Graduate Education Steering Committee 2021-NYYB-07the Humanities and Social Sciences Foundation of the Ministry of Education 20YJCZH230the National Natural Science Foundation of China 42101201
6 · The paper itself

Abstract

The study of rural multifunction interaction has ignored the spatial differentiation characteristics, so it is necessary to reveal in-depth the spatial interaction relationship of rural multifunction interaction on the basis of type division and pattern recognition at the county scale. Taking Anhui as a case study, based on the county scale, the paper constructed an index system of rural multifunction evaluation, and comprehensively applied the improved entropy method, spatial autocorrelation model, and Spearman correlation coefficient to study the temporal-spatial characteristics and tradeoff-synergy relationship of rural multifunction from 2000 to 2020. The results showed that (1) the overall rural production function at the county level in Anhui showed an upward trend, showing a spatial pattern of "low in the south and high in the north". The rural life function was gradually weakened, showing the characteristics of gradual decline from suburban to exurb. The rural ecological function increased, showing a high value distribution in areas with rich mountains and hills or a dense water network. (2) The spatial concentration of HH (High-High) and LL (Low-Low) positive correlation types of rural production, life, and ecological function was significant during the study period. The negative correlation types of HL (High-Low) and LH (Low-High) had low spatial agglomeration and showed discrete distribution. (3) There was a spatial synergistic relationship between rural production and life function at the county scale in Anhui Province. The tradeoff-synergy relationship between rural production and ecological function and between rural life and ecological function showed a trend of synergistic-tradeoff fluctuation. The spatial difference of the rural multifunction tradeoff-synergy relationship was significant during the study period. (4) In the future, we should change the situation that the expansion of rural production function compresses rural life and ecological function, and promote rural life and ecological function to promote the benign and coordinated development of rural multifunction at the county scale in traditional agricultural areas.

Indexed as

AgricultureRural PopulationChinaHumansSpatial AnalysisWaterWaterAnhui Provincecounty scalerural multifunctionspatial differentiationsynergytradeofftraditional agricultural areas

Identifiers

PMID36294183
PMCPMC9602513

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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.