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

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.

Authors

Institutions

Publication Details

Journal
Voyage Journal of Scientific Research and Exploration
Published
2025-05-05
DOI
https://doi.org/10.58622/nws8p475
Primary Topic
Fungal Biology and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Fazli Maula, Malka Saba, Fahim Ullah, Aneela Zameer Durrani et al.
Voyage Journal of Scientific Research and Exploration
Fungal Biology and Applications
article

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

Fazli Maula, Malka Saba, Fahim Ullah, Aneela Zameer Durrani, Misbah Ullah, Wajahat Akram, Muhammad Asif
article en

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.

Voyage Journal of Scientific Research and ExplorationVol. 2(1)
Quaid-i-Azam University (PK)
Openalex Percentile: Top 87%
Fungal Biology and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.