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