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Forest yield prediction under different climate change scenarios using data intelligent models in Pakistan.
Yousafzai, A; Manzoor, W; Raza, G; Mahmood, T; Rehman, F; Hadi, R; Shah, S; Amin, M; Akhtar, A; Bashir, S; Habiba, U; Hussain, M.
Afiliación
  • Yousafzai A; University of Haripur, Department of Forestry and Wildlife Management, Khyber Pakhtunkhwa, Pakistan.
  • Manzoor W; COMSATS University Islamabad - CUI, Lahore Campus, Department of Economics, Lahore, Punjab, Pakistan.
  • Raza G; University of Baltistan, Department of Biological Sciences, Skardu, Gilgit-Baltistan, Pakistan.
  • Mahmood T; University of Sargodha, University College of Agriculture, Department of Forestry, Sargodha, Punjab, Pakistan.
  • Rehman F; COMSATS University Islamabad - CUI, Lahore Campus, Department of Economics, Lahore, Punjab, Pakistan.
  • Hadi R; Jinnah University for Women, Department of Zoology, Nazimabad, Karachi, Sindh, Pakistan.
  • Shah S; University of Swat, Institute of Agriculture Sciences and Forestry, Khyber Pakhtunkhwa, Pakistan.
  • Amin M; Shaheed Benazir Bhutto University, Department of Environmental Sciences, Sheringal, Dir (U), KP, Pakistan.
  • Akhtar A; University of Haripur, Department of Psychology, Khyber Pakhtunkhwa, Pakistan.
  • Bashir S; Planning, Agriculture Research System, Peshawar, Khyber Pakhtunkhwa, Pakistan.
  • Habiba U; University of Haripur, Department of Forestry and Wildlife Management, Khyber Pakhtunkhwa, Pakistan.
  • Hussain M; University of Haripur, Department of Forestry and Wildlife Management, Khyber Pakhtunkhwa, Pakistan.
Braz J Biol ; 84: e253106, 2021.
Article en En | MEDLINE | ID: mdl-34730700
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Cambio Climático Tipo de estudio: Prognostic_studies / Risk_factors_studies País/Región como asunto: Asia Idioma: En Revista: Braz J Biol Asunto de la revista: BIOLOGIA Año: 2021 Tipo del documento: Article País de afiliación: Pakistán Pais de publicación: Brasil
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Cambio Climático Tipo de estudio: Prognostic_studies / Risk_factors_studies País/Región como asunto: Asia Idioma: En Revista: Braz J Biol Asunto de la revista: BIOLOGIA Año: 2021 Tipo del documento: Article País de afiliación: Pakistán Pais de publicación: Brasil