Journal of Natural Environment

Journal of Natural Environment

The Journal of Natural Environment, under the supervision of the Department of Environmental Sciences, Faculty of Natural Resources, University of Tehran, is managed and published as a quarterly journal, with four issues released annually. Full access to all articles published in the journal is freely available through the journal's website and no subscription fee is required.

Authors are kindly requested to carefully review the Instructions for Authors and comply with all requirements and conditions for manuscript submission. Particular attention should be paid to the information concerning copyright and conflicts of interest provided in the Instructions for Authors. Authors are required to comply with the relevant requirements, accurately complete the corresponding forms, and upload them to the journal’s submission system at the time of manuscript submission.

The manuscript acceptance process is described in the relevant section, where the maximum review period is also specified. Acceptance of a manuscript requires completion of a double-blind peer-review process conducted by at least two reviewers, followed by approval by the Associate Editor and the Editor-in-Chief.

All stages of manuscript processing in this journal—including submission, peer review, revision, acceptance or rejection, and final publication—are conducted exclusively through the journal’s online submission system.

According to the resolution dated April 29, 2012 (1391/02/09) of the Research and Technology Council of the University of Tehran, in research articles resulting from the supervision of a University of Tehran faculty member, a student may not be designated as the corresponding author.

Furthermore, pursuant to Clause 4-1-25 of the Special Research Grant Allocation Regulations, approved on July 16, 2016 (1395/04/26) by the University’s Research and Technology Council, failure to comply with this requirement will result in the faculty member(s) listed as author(s) of the article being ineligible to receive the corresponding special research grant credit.

The Journal of Natural Environment, in accordance with the principles and standards of publication ethics, follows the guidelines of the Committee on Publication Ethics (COPE) and complies with the Executive Regulations of the Law on Prevention of and Countering Fraud in Scientific Works.

According to the notification issued by the University's Vice President for Research, any certificate of manuscript acceptance will be issued exclusively through the journal's submission system and sent to the corresponding author. An acceptance email will be sent upon final acceptance of the manuscript, which constitutes the official acceptance of the article. No separate acceptance certificate will be issued.

For correspondence with the journal office, authors may contact the editorial office via email at jne@ut.ac.ir.

Dear Authors, please be informed that, in accordance with the Regulations for Scientific Journals of the Islamic Republic of Iran, approved on April 22, 2019 (1398/02/02) by the Ministry of Science, Research and Technology, and in order to safeguard the intellectual and moral rights of researchers and scientific authors and prevent the publication of duplicate articles, authors are requested to obtain a similarity report for their manuscript through one of the IranDoc, Samim Noor, or Hamiab systems. The corresponding similarity report form must be completed and uploaded to the journal’s submission system at the time of manuscript submission.

If the Instructions for Authors section is not active, the relevant guide may be downloaded from the designated section. The Conflict of Interest, Copyright, and Author Consent Forms are also available through the corresponding links.

To obtain a Researcher ID, please read the relevant instruction file carefully and follow the procedures specified therein.

Current Issue: Volume 79, Issue 3, Summer 2026, Pages 427-624 

Seed traits of old Hyrcanian beech, velvet maple, and Caucasian alder trees in old-growth Hyrcanian forests

Pages 495-509

10.22059/jne.2026.412285.2902

Mojtaba Azaryan, Hamed Aghajani, Vahid Etemad, Anooshirvan Shirvany, Seyed Mohammad Moein Sadeghi

Health risk assessment of Formaldehyde in Tehran’s air using Remote Sensing Data

Pages 531-545

10.22059/jne.2026.413913.2914

Mosayeb Kalvandi, Amir Arsellon Pardakhti, Aziz Azizpour, Mohammad Naji

Keywords Cloud

  • Heavy metals
  • climate change
  • Biodiversity
  • Land use
  • Air pollution
  • environment
  • Caspian Sea
  • remote sensing
  • Pollution
  • Iran
  • Sustainable Development
  • risk assessment
  • Willingness to Pay
  • Delphi method
  • Habitat Suitability
  • Bioaccumulation
  • Ecotourism
  • Water quality
  • GIS
  • Cadmium
  • soil
  • Artificial Neural Network
  • Ecosystem services
  • zoning
  • Persian Gulf
  • Phytoremediation
  • Global warming
  • Protected area
  • Adsorption
  • Sediment
  • environment
  • lead
  • Environmental Impact Assessment
  • carbon storage
  • Nitrate
  • Heavy metal
  • Local communities
  • Landscape
  • Analytic Hierarchy Process
  • Life Cycle Assessment
  • Logistic regression
  • Karaj
  • modeling
  • protected areas
  • Landscape metrics
  • TOPSIS
  • Hyrcanian forests
  • groundwater
  • Tourism
  • Kheyrud forest
  • Geographic Information System (GIS)
  • Groundwater
  • Land surface temperature
  • Geographic Information System
  • Hamedan province
  • Mazandaran province
  • microplastics
  • Optimization
  • analytical hierarchy process
  • Spatial distribution
  • participation
  • Habitat suitability modeling
  • Ecological Footprint
  • AHP
  • management
  • Economic valuation
  • soil pollution
  • Natural environment
  • Environmental Protection
  • Biological index
  • Recreational value
  • Ecological Vulnerability
  • Attitude
  • Conflict
  • Social network analysis
  • Panel data
  • MaxEnt
  • Random forest
  • Chlorophyll
  • mangrove
  • Guilan province
  • noise pollution
  • Conservation
  • Dust
  • InVEST
  • Kriging
  • Carbon sequestration
  • vegetation
  • Principal component analysis
  • arsenic
  • PAHs
  • aqueous solution
  • Logit Model
  • Habitat variables
  • oil pollution
  • Habitat suitability model
  • biosorption
  • economic growth
  • Land Use
  • tolerance
  • Greenhouse Gases
  • Environmental impacts
  • Sensitivity analysis
  • Golestan national park
  • Suitability index
  • Ordination
  • Fars province
  • Large carnivores
  • Minimum Data Set
  • Weighted Linear Combination
  • Drought
  • Response Surface Method
  • Conservation prioritization
  • Bavi County
  • urban development
  • Hyrcanian forest
  • Travel Cost Method
  • Rainbow trout
  • Natural Resources
  • Climate
  • chromium
  • toxic elements
  • contaminated soil
  • brown bear
  • National Park
  • Golestan province
  • traffic
  • Wolf
  • bioremediation
  • Land Use Change
  • Density
  • metrics
  • diazinon
  • mercury
  • Fire
  • Landfill
  • Environmental flow
  • Green businesses
  • environmental factors
  • Forest
  • Persian leopard
  • contingent valuation
  • Zinc
  • Environmental Pollution
  • Habitat selection
  • species diversity
  • Adsorption
  • Environmental Sustainability
  • environmental assessment
  • Accumulation
  • Energy consumption
  • Taxonomy
  • Flora
  • Diversity
  • disturbance
  • Vulnerability assessment
  • TOPSIS method
  • spatial pattern
  • recreation
  • Biological Capacity
  • Dena protected area
  • Wastewater treatment
  • waste management
  • Spatial Distribution
  • ecological niche factor analysis (ENFA)
  • protection
  • Bushehr
  • nickel
  • multi criteria evaluation
  • Ecological niche factor analysis
  • Chemical Fertilizer
  • PM10
  • Financial Development
  • sustainability
  • Landscape ecology
  • Eutrophication
  • Mashhad
  • InVEST model
  • Photocatalyst
  • wetland
  • Markov Chain
  • Physiographic factors
  • Goitered gazelle
  • Wastewater
  • Site selection
  • Satellite images
  • Bioindicator
  • wildlife
  • Khuzestan Province
  • Environmental
  • Cokriging
  • Soil Quality Index
  • Geostatistic
  • Earth surface temperature
  • Generalized linear model
  • biomonitoring
  • Machine learning
  • rice
  • Ranking