Výsledky vyhledávání - "Seyed Jamaleddin Khajeddin"

An inter-comparison of different PSO-optimized artificial intelligence algorithms for thermal-based soil moisture retrieval

Autor: Negin Behnia, Mohammad Zare, Vahid Moosavi, Seyed Jamaleddin Khajeddin

Publikováno v: Earth Science Informatics. 15:473-484

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d2bab41901131902b046f26d9a28091e
https://doi.org/10.1007/s12145-021-00747-7

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Vegetation composition differentiation and species-environment relationships in the northern part of Isfahan Province, Iran

Autor: Seyed Akbar Javadi, Hadi Kargar-Chigani, M. Jafari, Ghavamodin Zahedi-Amiri, Seyed Jamaleddin Khajeddin

Publikováno v: Journal of Arid Land. 9:161-175

A considerable proportion of Iran’s territory is covered with arid and semi-arid rangelands and mismanagement and overexploitation of those rangelands have resulted in serious ecological degradation. Thus, the need is pressing to examine the presen

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0ba9810329e0ba462545037a4458a25e
https://doi.org/10.1007/s40333-017-0050-2

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Effects of smoke, ash and heat shock on seed germination of seven species from Central Zagros rangelands in the semi-arid region of Iran

Autor: Ali Asghar Naghipour, Hossein Bashari, Pejman Tahmasebi, Seyed Jamaleddin Khajeddin, Majid Iravani

Publikováno v: African Journal of Range and Forage Science; Vol 33, No 1 (2016); 67–71

Fire products have been widely identified as germination cues for a number of species from both fire-prone and fire-free ecosystems. However, there is uncertainty about the effects of fire products on seed germination of semi-arid rangeland species.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25b05701d882fc0b0e2ab91ae1b65424
https://doi.org/10.2989/10220119.2015.1119194

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Risk of fire occurrence in arid and semi-arid ecosystems of Iran: an investigation using Bayesian belief networks

Autor: Seyed Jamaleddin Khajeddin, Hossein Bashari, Pejman Tahmasebi, Hamed Sangoony, Ali Asghar Naghipour

Publikováno v: Environmental monitoring and assessment. 188(9)

Identifying areas that have a high risk of burning is a main component of fire management planning. Although the available tools can predict the fire risks, these are poor in accommodating uncertainties in their predictions. In this study, we accommo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c16104cd4d8e4a7ddc9415d4927ed83
https://pubmed.ncbi.nlm.nih.gov/27553945

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