|
1. Alharth, A., El-Sheikh, M.A., Elhag, M., A. Alatar, A., A. Abad, G., Abdel-Salam, E. M., A. Arif, I., A. Baeshen, A., M. Enid, E. 2020. Remote sensing of 10 years changes in the vegetation cover of the northwestern coastal land of Red Sea, Saudi Arabia. Saudi Journal of Biological Sciences, 27: 3169-3179. 2. Behmanesh S., Moradi M., Pourrezaei J., Basiri R. 2024. Does road construction have beneficial effects on vegetation biodiversity and tree regeneration in arid woodlands?. Land Degradation and Development, 35(7): 2508-2517. 3. Díaz, J., Settele, E, S., Brondízio, H, T., Ngo, M., Guèze, J., Agard, A., Arneth, P., Balvanera, K, A., et al. 2019. Summary for policymakers of the global assessment report on biodiversity and ecosystem services of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services. IPBES secretariat, Bonn, German: 56 p. 4. Faruque, Md, J., Vekerdy, Z., Yeasir Md, H., Ziaul Islam, K., Young, B., Ahmed, M, T., Monir, M, U., Shovon, S, M., Kakon, J, F., Kundu, P. 2022. Monitoring of land use and land cover changes by using remote sensing and gis techniques at human-induced mangrove forests areas in bangladesh. Remote Sensing Applications: Society and Environment, 25: 200699. 5. Ghoochani, O. M., Eskandari Damaneh, H., Eskandari Damaneh, H., Ghanian, M., Cotton, M. 2023. Why Do Farmers Over-Extract Groundwater Resources? Assessing (Un)sustainable Behaviors Using an Integrated Agent-Centered Framework. Environments, 10(12): 216. https://doi.org/10.3390/environments10120216. 6. Guisan, A., Zimmermann, N.E. 2000. Predictive habitat distribution models in ecology. Ecological Modelling, 135(2-3): 147-186. 7. Guo, J., Gong, P., Dronova, I., & Zhu, Z. 2022. Forest cover change in china from 2000 to 2016. International Journal of Remote Sensing, 43(2): 593–606. 8. Lepcha, L. D., Shukla G., Moonis M., Vineeta, Bhat J. A., Kumar M., Chakravarty, S. 2021. Seasonal relation of ntfps and socio-economic indicators to the household income of the forest-fringe communities of jaldapara national park. Acta Ecologica Sinica, 42(3): 180-187. 9. Lossou, E., Owusu-Prempeh, N., Agyemang, G. 2019. Monitoring land cover changes in the tropical high forests using multi-temporal remote sensing and spatial analysis techniques. Remote Sensing Applications: Society and Environment, 16: 100264. 10. Mccarthy, C., Banfill, J., Hoshino, B. 2021. National parks, protected areas and biodiversity conservation in north korea: opportunities for international collaboration. Journal of Asia-Pacific Biodiversity, 14(3): 290-298. 11. Mirzaei J., Moradi M. 2017. Biodiversity of arbuscular mycorrhizal fungi in Amygdalus scoparia Spach plantations and a natural stand. Journal of Forestry Research 28 (6): 1209-1217. 12. Moradi Behbahani S., Moradi M., Basiri R., Mirzaei J. 2017. Sand mining disturbances and their effects on the diversity of arbuscular mycorrhizal fungi in a riparian forest of Iran. Journal of Arid Land, 9: 837-849. 13. Moradi M., Jorfi MR., Basiri R., Yusef Naanaei S., Heydari M. 2021. Beneficial effects of livestock exclusion on tree regeneration, understory plant diversity, and soil properties in semi‐arid forests in Iran. Land Degradation & Development, 33(2): 324-332. 14. Purwanto, L, S., Akhsani, F, A., Yanariza, Sofiana, E, I., Ferdiansah, M, R. 2023. Land cover change assessment using random forest and ca markow from remote sensing images in the protected frost of south malang indonesia. Remote Sensing Applications: Socity and Environment, 32: 101061. 15. Quintero, G. V., Moreno, R.S., García, M. P., Guerrero, F. V., Alvarez, C.P., Alvarez, A.P. 2016. Detection and projection of forest changes by using the markov chain model and cellular automata. Sustainability, 8(236): 1- 13. 16. Rafikul Islam, Md., Nabiul Islam Khan, Md., Zulfikar Khan, Md., Roy, B. 2021. A three decade assessment of forest cover changes in nijhum dwip national park using remote sensing and GIS. Environmental Challenges, 4:1-13. 17. Valjarević, A., Djekić, T., Stevanović, V., Ivanović, R., Jandziković, B. 2018. Gis numerical and remote sensing analyses of forest changes in the toplica region for the period of 1953–2013, Applied Geography, 92: 131-139.
|
