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