Tarbiat Modares University (TMU) ECOPERSIA 2322-2700 13 1 2025 01 01 The Influence of the Media on the Understanding of the Relationship Between Modern Man and the Environment: Semiotics of the Movie "So Far, So Close" 1 12 17416 10.22034/ECOPERSIA.13.1.1 EN Mohsen Niazi Department of Sociology, University of Kashan, Kashan, Iran Mina Helali Sotoodeh Department of Sociology, University of Kashan, Kashan, Iran Afsaneh Afzali Department of Environment, Faculty of Natural Resources and Earth Sciences, University of Kashan, Kashan, Iran Zahra Goodarz Department of Sociology, University of Kashan, Kashan, Iran Journal Article Aims: The environmental crisis in today's world is one of the biggest challenges facing modern man, which requires urgent attention. With the power of wide influence and in-depth analysis, the media can play an important role in raising awareness and shaping the public attitude and behavior about this crisis.. This research aims to represent the relationship between modern humans and the environment in cinema. Materials & Methods: By reviewing the Iranian films related to the environment, the film “So Far, So Close" was examined as a case study. In this research, Roland Barthes' semiotics method has been used to analyze the complexity and depth of hidden meaning in the film. Findings: Two types of relationship between humans and environment can be considered. In the first type, the relationship should be depicted through the display of scenes where humans are enchanted by technology and only look at nature as a source of profit and pleasure. In the second type, the relationship is through the display of scenes where humans understand the weaknesses of technology against the power of nature. Human salvation should be depicted in harmonious and sustainable interactions with nature. The film effectively shows the importance of the relationship with nature, while nature is represented as a source that gives meaning to his life. Conclusion: Knowledge and technology, the two tools of modern human dominance, are powerless against the power of nature. Therefore, an effective relationship with environment can be salvific for both.

https://ecopersia.modares.ac.ir/article_17416_259c22cfdc742412a89fe293b53c6e94.pdf

Tarbiat Modares University (TMU) ECOPERSIA 2322-2700 13 1 2025 01 01 Enhancing Fire Susceptibility Mapping in Semnan Province: Integrating Machine Learning and Geospatial Analysis 13 36 17417 10.22034/ECOPERSIA.13.1.13 EN Ali Asghar Zolfaghari Associate professor, Faculty of Desert Studies, Semnan University, Semnan, Iran Maryam Raeesi Faculty of Desert Studies, Semnan University, Semnan, Iran Zahra Sheikh Faculty of Desert Studies, Semnan University, Semnan, Iran Azadeh Soltani Faculty of Desert Studies, Semnan University, Semnan, Iran Soghra Poodineh Faculty of Desert Studies, Semnan University, Semnan, Iran Mojtaba Amiri Associate professor, Faculty of Natural Resources, Semnan University, Semnan, Iran 0000-0003-4920-3602 Journal Article Aims: This study assesses the impacts of natural and human factors on fire occurrences, identifies key contributors to fire susceptibility maps, and employs machine learning algorithms (MLAs) to enhance the spatiotemporal patterns of fire susceptibility maps. Materials & Methods: Data were collected from 110 fire locations and 110 non-fire points spanning from 2001 to 2022 at annual scale. Various auxiliary variables, including climate data, terrain features, Normalized Difference Vegetation Index (NDVI), and distance to roads, were analyzed to model fire susceptibility. The study employed multiple MLAs, including Random Forest (RF), Support Vector Machine (SVM), and Gradient Boosting Decision Trees (GBDT), to generate the fire susceptibility maps. Findings: About 70% of fires occurred within 2 km of roads, indicating significant human influence. Grasslands had the highest fire rates, with over 25% of fires from 2001-2022 due to flammable fuels. The RF and mean models identified 0.4% and 1.31% of the area as very high susceptibility (38,800 km² and 12,600 km²), while the GBDT and SVM models identified 2.42% and 1.86% (234,700 km² and 180,000 km²). The very high susceptibility class, though small in percentage, covers large areas. Conclusion: This research highlights the importance of integrating environmental and human factors for predicting fire events in arid regions and developing comprehensive fire susceptibility maps, critical for protecting vulnerable ecosystems. These outcomes provide valuable tools for fire management and mitigation strategies within vulnerable ecosystems. Moreover, developing targeted fire management strategies focused on high-risk areas, such as juniper and broadleaf forests must be a priority.

https://ecopersia.modares.ac.ir/article_17417_7bcab4942f4f7e074eb4f7b4ecdf4f61.pdf

Tarbiat Modares University (TMU) ECOPERSIA 2322-2700 13 1 2025 01 01 Effect of different nutritional treatments on the growth of Datura stramonium L. 37 48 17418 10.22034/ECOPERSIA.13.1.37 EN Esmaeil Sheidai-Karkaj Associate Professor, Department of Range and Watershed Management, Faculty of Natural Resources, Urmia University, Urmia, Iran. Esfandiar Jahantab Department of Range and Watershed Management (Nature Engineering), Faculty of Agriculture, Fasa University, Fasa, Iran; Samira Sasanifar Faculty of Natural Resources, Department of forestry, Urmia University, Urmia, Iran Morteza Mofidi-Chelan Faculty of Natural Resources, Department of Range and Watershed Management, Urmia University, Urmia, Iran. Sara Babazadeh MSc student of Rangeland Sciences and Management- Rangeland Management, Faculty of Natural Resources, Department of Range and Watershed Management, Urmia University, Urmia, Iran. Journal Article Aims: Datura stramonium L. is a medicinal plant known for its alkaloid compounds. Limited research has explored the impact of fertilizers like solopotas and fulvic acid on its growth and structural traits. This study aimed to evaluate the effects of these fertilizers on the growth rate and biomass of D. stramonium. Materials & Methods: Solopotas and fulvic acid were applied as foliar sprays at concentrations of 2%, 4%, 6%, and 8%, with five applications at 5-day intervals. Growth parameters such as plant height, leaf length, stem length, root length, leaf number, flower and fruit counts, and shoot weight were measured at maturity and compared with control plants treated with distilled water. Findings: The fertilizer treatments significantly affected leaf traits, flower and fruit numbers, plant height, and shoot weight (p<0.05), but not root length. The 2% fulvic acid treatment resulted in the tallest plants (45.75 cm), compared to 31.25 cm in the control. The 4% fulvic acid treatment had the most leaves (39.5), while the control had the lowest (19). The 2% solopotas treatment produced the longest leaves (14.15 cm), while the 8% solopotas had the shortest (8.17 cm). The 2% fulvic acid also resulted in the heaviest shoots (13.5 g), compared to 3.5 g in the control. Conclusion: Application of 2% fulvic acid and 2% solopotas significantly improved growth and biomass of D. stramonium, particularly in plant height, leaf number, and leaf length. These findings suggest these fertilizers can enhance the commercial potential of D. stramonium.

https://ecopersia.modares.ac.ir/article_17418_85e1b8bbda1bd1ec3465c9728f7d7d2e.pdf

Tarbiat Modares University (TMU) ECOPERSIA 2322-2700 13 1 2025 01 01 Machine learning based forest fire susceptibility prediction in semi-arid Oak forests of western Iran 49 67 17419 10.22034/ECOPERSIA.13.1.49 EN Somaye Azizianpour Department of Forest Science, Faculty of Agriculture, Ilam University, 69315-516 Ilam, Iran Javad Mirzaei Department of Forest Science, Faculty of Agriculture, Ilam University, 69315-516 Ilam, Iran Reza Omidipour Department of Range and Watershed Management, Faculty of Agriculture, Ilam University, 69315-516 Ilam, Iran Nahid Jafarian Department of Forest Science, Faculty of Agriculture, Ilam University, 69315-516 Ilam, Iran Journal Article https://ecopersia.modares.ac.ir/article_17419_08780eb9b58091a2d4b81a1af602b617.pdf

Tarbiat Modares University (TMU) ECOPERSIA 2322-2700 13 1 2025 01 01 Ecotoxicological Assessment of Potentially Toxic Elements in Sediments from Some Southern Rivers of the Caspian Sea using Single and Integrated Pollution Indices 69 88 17420 10.22034/ECOPERSIA.13.1.69 EN Fatemeh Sancholi MS.c Graduated from Fisheries, Faculty of Natural Resources, Gonbad Kavoos University Hadi Raeisi Assistant Professor of Fisheries, Faculty of Natural Resources, Gonbad Kavoos University Sarah Haghparast Assistant Professor in Fisheries, Faculty of Animal Sciences and Fisheries, Sari Agricultural Sciences and Natural Resources University Rahman Patimar Professor of Fisheries, Faculty of Natural Resources, Gonbad Kavoos University 0000-0002-3106-8257 Hossein Rahmani Assistant Professor of Fisheries, Faculty of Animal Sciences and Natural Resources, Sari Agricultural Sciences and Natural Resources University Journal Article Background: Due to high toxicity, durability in natural conditions, and bioaccumulation in the food chain, potentially toxic elements are considered serious pollutants. Material and Method: toxic elements (Al, As, Cr, Cd, Co, Cu, Ni, Pb, Zn, V, and Mn) in sediment samples from some coastal rivers flowing into the southern Caspian Sea (Tajan, Babolroud, and Shirood) were assessed. Single (Cf , EF, Igeo, Hq, PLI, and QoC) and integrated contamination indices (m-PEC-q, m-PEL-q, MERMQ, NPI, and CSI) were used to assess the ecotoxicological risk of the metals. Results: At all sites, the level of Cd was less than the detection limit (<5 mg.kg-1), indicating no significant source of pollution containing Cd. The mean concentration order of the metals in the rivers varied, suggesting that their contaminant sources significantly differed. The metal content of the Tajan River was substantially lower than that of the other rivers. EF values of Cu, Ni, and As showed partial enrichment, probably indicating their anthropogenic origin. According to the single indices of CF, Igeo, PLI, and Hq, the Babolrood and Shirood Rivers, sediment was significantly contaminated by As, Ni, and Zn. Based on NPI values, the Shirood River was extremely polluted by As. Integrated ecotoxicological risk indices of CSI, m-ERM-Q, and m-PEL-q suggest that metals pose medium to low levels of environmental toxicity in the Babolrood and Shirood Rivers. Discussion and Conclusion: This research demonstrated the necessity of using management and pollution control strategies such as improving wastewater treatment, promoting sustainable agriculture, and regulating industrial discharges.

https://ecopersia.modares.ac.ir/article_17420_80b912d8d81919969ccab0080ddd8e2f.pdf

Tarbiat Modares University (TMU) ECOPERSIA 2322-2700 13 1 2025 01 01 Habitat Changes of an Endangered Species, the Caucasian Black Grouse, in the Lesser Caucasus Mountains, Iran 89 105 17421 10.22034/ECOPERSIA.13.1.89 EN Sajad Ghanbari Department of Forestry, Ahar Faculty of Agriculture and Natural Resources, University of Tabriz, 53548-54517, Iran Samira Sasanifar Urmia University Pedro Álvarez-Álvarez Department of Organisms and Systems Biology, Polytechnic School of Mieres, University of Oviedo, E-33600 Mieres, Asturias, Spain Zaynab Najafi University of Tehran Journal Article na

https://ecopersia.modares.ac.ir/article_17421_4afc974d7501498dac2fbcf27de46d34.pdf

Tarbiat Modares University (TMU) ECOPERSIA 2322-2700 13 1 2025 01 01 Efficiency Assessment of Rainwater Harvesting Systems for Water Supply in Livestock and Poultry Units: A Case Study of Golestan Province, Iran 107 120 17422 10.22034/ECOPERSIA.13.1.107 EN Seyed Pedram Nainiva Watershed Management Department, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran Maryam Mohammadrezaei Watershed Management Department, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran Kosar Ghezelsefli Department of Animal and Poultry Nutrition, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran Mostafa Hosseinabadi Department of Animal and Poultry Nutrition, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran Taghi Ghoorchi Department of Animal and Poultry Nutrition, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran Journal Article Aims: Excessive water extraction, inefficient management, climate change, and population growth have created significant global water supply challenges, particularly in arid and semi-arid regions such as Iran. Rainwater Harvesting Systems (RWHS) have emerged as an effective water management strategy. This study investigates the role of rainwater harvesting in fulfilling the water needs of dairy cattle and broiler chicken units in Gorgan County, Golestan Province. Methods: This research analyzes annual precipitation levels, roof surface areas, and water requirements of livestock and poultry. It also evaluates the compatibility of collected rainwater with physical, chemical, and microbiological standards recommended by the German Federal Ministry of Food and Agriculture (BMEL). Findings: Rainwater harvesting can meet 87.07% of annual water requirements in broiler chicken facilities, equivalent to 214,711 m3. y-1, demonstrating significant potential to reduce dependency on alternative sources. In contrast, this percentage is only 1.05% for dairy cattle units, equivalent to 13,432 m3. y-1, due to their higher water consumption. The analysis of rainwater quality shows compliance with BMEL standards, indicating favorable water quality. Conclusion: Rainwater harvesting effectively manages water resources in livestock and poultry farming, particularly in the poultry sector. These findings inform sustainable solutions for water scarcity challenges and highlight the potential of alternative water collection methods to alleviate resource pressures, especially in environmentally and agriculturally constrained regions. The study provides valuable insights for strategic water planning and sustainable agricultural development, emphasizing the varying efficiencies across farming sectors.

https://ecopersia.modares.ac.ir/article_17422_d59100468f1e33cb2d178fdef77412d5.pdf