SPECIES DIVERSITY AND ECOLOGICAL ANALYSIS OF MACRO-FUNGI OF DISTRICT SWABI, KHYBER PAKHTUNKHWA, PAKISTAN

Authors

  • Fazli Maula Fungal Biology and Systematics Research Laboratory, Department of Plant Sciences, Faculty of Biological Sciences, Quaid-I-Azam University, Islamabad 45320, Pakistan Author https://orcid.org/0009-0003-2002-4931
  • Malka Saba Fungal Biology and Systematics Research Laboratory, Department of Plant Sciences, Faculty of Biological Sciences, Quaid-I-Azam University, Islamabad 45320, Pakistan Author
  • Muhammad Asif Fungal Biology and Systematics Research Laboratory, Department of Plant Sciences, Faculty of Biological Sciences, Quaid-I-Azam University, Islamabad 45320, Pakistan Author
  • Aisha Durrani Fungal Biology and Systematics Research Laboratory, Department of Plant Sciences, Faculty of Biological Sciences, Quaid-I-Azam University, Islamabad 45320, Pakistan Author
  • Wajahat Akram Fungal Biology and Systematics Research Laboratory, Department of Plant Sciences, Faculty of Biological Sciences, Quaid-I-Azam University, Islamabad 45320, Pakistan Author
  • Fahim Ullah Fungal Biology and Systematics Research Laboratory, Department of Plant Sciences, Faculty of Biological Sciences, Quaid-I-Azam University, Islamabad 45320, Pakistan Author
  • Mohsin Ullah Fungal Biology and Systematics Research Laboratory, Department of Plant Sciences, Faculty of Biological Sciences, Quaid-I-Azam University, Islamabad 45320, Pakistan Author

DOI:

https://doi.org/10.58622/nws8p475

Keywords:

Ecology, fungal diversity, poisonous mushrooms, unexplored region

Abstract

This research presents an analytical investigation of Macro-fungi found in district Swabi, Khyber Pakhtunkhwa, Pakistan. The aim of the study was to examine species diversity and community structure of Macro-fungi in relation to climatic, topographical and edaphic factors. A year-long survey was conducted in 2022-24 across a variety of ecological settings, including plains and mountainous terrains, during different seasons. The study identified 66 wild mushroom species belonging to 31 families, with Agaricaceae being the most dominant, representing 30% of the collected species. To elucidate ecological relationships and environmental influences on mushroom distribution, statistical techniques such as cluster analysis, canonical correspondence analysis (CCA), and detrended correspondence analysis (DCA) were performed using PC-ORD and CANOCO software. The findings provide valuable insights for environmental conservation, sustainable harvesting practices, and maximizing the nutritional and commercial potential of wild mushrooms.

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Published

2025-05-05