Evidence map›Paper›PMID 39660194›Full record

ReviewHeliyon2024

Urban development impacts on natural ecosystems in urban protected areas of Tehran province, Iran.

Parvaneh Sobhani

Abstract readReview
In one paragraph

Review in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Parvaneh SobhaniDepartment of Environmental Science, Natural Resources Faculty, University of Tehran, Karaj, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urban development, especially in metropolises, is effective in threatening natural ecosystems and Protected Areas (PAs). Consequently, the current study seeks to explore the interrelationships between urban development and its environmental impacts on PAs. To achieve this, a set of main indicators has been evaluated to assess the progression of urbanization within the Jajrud protected set. According to the results, the highest weight value among the urban development indicators is related to spatial urbanization. This is attributed to the establishment of industrial sites, excessive mining activities, development of various infrastructures, expansion of transportation networks and roads, as well as the widespread growth of tourism activities. Moreover, the outcomes of secondary indicators suggest that the growth of urban regions and the rise of total fixed-asset assets over the past two decades are fundamental factors contributing to urban development in the Jajrud protected set. Likewise, the path of urbanization has increased from 2000 to 2021, and urbanization indicators of spatial and economic have increased most compared. In conclusion, the analysis of the mutual impact of urban development on PAs indicates that, according to a double exponential curve, a direct and significant relationship between urban development and its impacts on the environment is visible. This implies that regions characterized by lower levels of urbanization could have better opportunity for environmental quality. Hence, managers and planners should give greater consideration to the significance of environmental protection and socio-economic issues in the decision-making process of urban plans, particularly in urban areas with extensive urbanization development such as Tehran.

Indexed as

Driving factorsIran.Jajrud protected setNatural habitatTehran provinceUrbanization

Identifiers

PMID39660194
PMCPMC11629189

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.