ECOPERSIA

ECOPERSIA

      Indexed in Scopus
 
ISO Abbreviation: ECOPERSIA
Language: English
Mean Time to First Decision: 3 days
Peer Review Policy: Double Blind Peer Review
Publication policy: Open Access Journal Support
ISC Impact Factor: 0.446
Ranking in the Portal of Scientific Journals: A
Article Processing Charges: Free
System Similarity Finder: Yes
Ethical Policy: Following COPE 

  Introduction

ECOPERSIA is a combination of ECO, referring to all different types of ecosystems, and PERSIA, the old name of Iran, where the journal is published. It is a Scopus-Indexed Journal, entirely free-of-charge, fast processing, and an international multidisciplinary journal for the publication of novel and high-impact research in all sciences, technologies, engineering, and managerial aspects of terrestrial and aquatic ecosystems. It has profoundly received the gracious support of the World Association of Soil and Water Conservation (WASWAC- http://www.waswac.org.cn/waswac/index.htm) as a worldwide academic society, established in the USA in August 1983, moved in 2003 to the International Center for Research and Training on Erosion and Sedimentation (ICRTS), Beijing, China, and ultimately from October 2010 to the International Research and Training Center on Erosion and Sedimentation (IRTCES), also in Beijing, China.

Aims and Scope

ECOPERSIA is a peer-reviewed quarterly journal published by the Tarbiat Modares University (https://www.modares.ac.ir/) and under the responsibility of its Editor-in-Chief and Editorial Board in the determined scopes. All manuscripts on the terrestrial and marine environments, including the atmosphere, lithosphere, hydrosphere, biosphere, anthroposphere, and associated aspects, are considered for processing. The editorial board of ECOPERSIA invites innovative, high-quality, multidisciplinary environmental research papers with an overall impact. Studies that advance fundamental understanding and focus on the interconnectedness of multiple domains will be prioritized. Manuscripts reporting laboratory experiments and field investigations with substantial improvements in technique or mechanistic knowledge with a clear relationship to the environment are preferred. There will be no consideration for descriptive, repetitive, or research with little originality. ECOPERSIA is an international research journal that advances scientific studies. The journal will consider submissions from around the world on research not yet published or submitted for publication, including full papers, review articles, and research notes. The Papers are published in English. Papers deemed suitable are then typically sent to at least three independent expert reviewers to assess the scientific quality of the paper in a double-blind style. The Editor is responsible for the final decision regarding acceptance or rejection of articles.


Ethical Policy

ECOPERSIA's ethical policy is based on the principles of the Committee on Publication Ethics (COPE) as detailed in Ethical Policy Statement for ECOPERSIA. Since the beginning of 2013, ECOPERSIA has been published regularly. The journal has a renowned international editorial board with substantial academic credentials, ensuring high scientific standards and broad international reach. All submitted papers are cross-checked using iThenticate software to ensure the highest standards. 


Third-Party Digital Archiving & Preservation

In line with COPE’s core practice on digital preservation, ECOPERSIA is committed to ensuring the long-term accessibility of its published content. To this end, the journal deposits complete articles and metadata with the Islamic World Science Citation Center (ISC), the Ministry of Science, Research and Technology (MSRT) of Iran, and Magiran. The journal also maintains a secure private backup system managed by the Editor-in-Chief and the journal's executive team. Together, these measures ensure that all content remains accessible even if Tarbiat Modares University's servers are unavailable, safeguarding perpetual access in the event of institutional disruptions.


Ranking

ECOPERSIA, with IF 2024 equals 0.446, is ranked in the top 4.07% in all subjects of the ISC master journal list (https://jcr.isc.ac/main.aspx). It is also indexed in the National Academy of Agricultural Sciences of India Scoring List (IF=4.18), and a Scopus-indexed journal (Q4).   
 
 
Current Issue: Volume 14, Issue 4 - Serial Number 58, Summer 2026 

Keywords Cloud

  • Iran
  • Climate Change
  • Heavy metals
  • Caspian sea
  • Biomass
  • Soil properties
  • Drought
  • remote sensing
  • Germination
  • Rangelands
  • Sediment
  • Environmental factors
  • Salinity
  • Soil
  • Soil characteristics
  • Biodiversity
  • Growth
  • Carbon sequestration
  • Fire
  • Groundwater
  • Soil erosion
  • Allelopathy
  • Landslide
  • Rangeland
  • Sistan region
  • Runoff
  • Rainfall-runoff modeling
  • Soil conservation
  • Drought Stress
  • GIS
  • SWAT model
  • land use
  • soil moisture
  • Catalase
  • Stomatal conductance
  • Wind Erosion
  • Flood
  • Seed dormancy
  • Qeshm Island
  • Drought indices
  • Zagros
  • Regression
  • Erosion
  • Downscaling
  • Geographical Information System
  • Fish
  • Dust storm
  • Water use efficiency
  • Growth parameters
  • Forest
  • Soil organic carbon
  • Medicinal plants
  • Antioxidant
  • Sustainability
  • Mercury
  • Environmental pollution
  • Topography
  • Peroxidase
  • evapotranspiration
  • Proline
  • Random Forest
  • Suitability
  • Calcareous soil
  • Rainfall simulator
  • Sea Of Oman
  • sustainable development
  • Pseudomonas putida
  • Phytoremediation
  • Halocnemum strobilaceum
  • simulation
  • Sistan
  • SVM
  • Atbatan Rangelands
  • Trend
  • total chlorophyll
  • Semi-arid regions
  • Global warming
  • MODIS
  • Risk management
  • Land Suitability
  • Environmental Stress
  • Land-use change
  • Grazing
  • Natural Disasters
  • Goal programming
  • Seed germination
  • economic valuation
  • phenology
  • pollution
  • Vegetation Types
  • Spatial modeling
  • water pollution
  • Nanoparticles
  • Darabkola Forest
  • Ilam
  • morphology
  • Chlorophyll content
  • Water budget
  • Nitrogen
  • Soil degradation
  • Soil chemistry
  • Plant Diversity
  • Phytoplankton
  • Spatial distribution
  • Elevation
  • deep learning
  • Landscape Metrics
  • artificial neural network
  • Photosynthetic pigments
  • Bulk density
  • Vigor index
  • Temperature
  • Natural resources
  • Reforestation
  • lead
  • Abiotic stress
  • Quercus brantii
  • Tree species
  • Land management
  • Artemisia
  • histopathology
  • Infiltration rate
  • General Circulation Models
  • Floodwater spreading
  • Biochar
  • Erodibility
  • Hydrological Modeling
  • Vegetation
  • Water treatment
  • Water quality
  • Banqueting
  • Environmental monitoring
  • Saccostrea cucullata
  • Drought monitoring
  • Palatability classes
  • Air pollution
  • Species richness
  • Tree Biomass
  • Soil management
  • Arasbaran
  • Rainbow trout
  • Fars province
  • Integrated watershed management
  • Early warning
  • Fuzzy Logic
  • Economic assessment
  • Desertification
  • climate
  • Trend analysis
  • artificial neural networks
  • Dehloran
  • Organic carbon
  • Grazing intensity
  • Interpolation
  • toxicity
  • Machine learning
  • Sediment Yield
  • Optimization
  • Carbon Dioxide
  • distribution
  • environment
  • Soil Strength
  • Photosynthesis
  • Richness
  • Seed Vigor Index
  • GC-MS
  • Sustainable water management
  • Multiple Linear Regression
  • SUFI-2
  • Path analysis
  • plantation
  • Insurance companies
  • Medicinal Plant
  • Plant growth
  • Sensitivity Analysis
  • Scarification
  • Geopedology
  • Analytical hierarchy process
  • SWAT
  • Environmental parameters
  • Mann-Kendall
  • Land use management
  • Cross correlation function
  • Indole-Butyric Acid
  • Agricultural management
  • Acquirer’s unit hydrograph
  • Land-use optimization
  • Index
  • venomous
  • Erosion Price
  • Climatic variables
  • Shear stress
  • Lorestan
  • Biodiversity Inventory
  • Extreme temperature
  • Shell
  • amoxicillin
  • Geographic Information Systems (GIS)
  • LISS-IV
  • Semi-arid region