| Issue |
BIO Web Conf.
Volume 123, 2024
The 1st International Seminar on Tropical Bioresources Advancement and Technology (ISOTOBAT 2024)
|
|
|---|---|---|
| Article Number | 01021 | |
| Number of page(s) | 13 | |
| Section | Agriculture, Animal Sciences, Agroforestry, and Agromaritime Innovation | |
| DOI | https://doi.org/10.1051/bioconf/202412301021 | |
| Published online | 30 August 2024 | |
Addressing Environmental Vulnerability: Land Cover Dynamics Assessment and Afforestation Strategies in Pakistan for Disaster Resilience
1 Departement of Forest Management, Dendrometry and Forest Economics, Institute of Forest Sciences, Warsaw University of Life Sciences, Warsaw 02-776, Poland
2 Range Research Institute, Field of Forestry, National Agriculture Research Centre (NARC), Islamabad 45500, Pakistan
3 Department of Forestry and Range Management, PMAS Arid Agriculture University, Rawalpindi 44000, Pakistan
4 Institute of Forest Sciences, The Islamia University of Bahawalpur, Bahawalpur 63100, Pakistan
5 Ministry of Climate Change Pakistan, Islamabad 44000, Pakistan
6 Department of Plant Protection, Faculty of Horticulture and Agriculture Warsaw University of Life Sciences, Warsaw 02-787, Poland
7 BRIK Quality Services Corp., Cibinong City Center Blok E No. 16, St. Tegar Beriman, Cibinong, Kab. Bogor, Indonesia
8 Department of Ornamental Plants, Faculty of Horticulture, Warsaw University of Life Sciences, Warsaw 02-787, Poland
* Corresponding author: nugraha_nurrochmat@sggw.edu.pl
Pakistan has a limited forest cover. The present condition of forests in Pakistan indicates a profound apathy. The devastating floods of 2022 in Pakistan killed 1,739 people and caused 15.2 billion USD in economic losses, underscoring the urgent need for proactive environmental management strategies. This study investigates land cover changes, focusing on forest cover, in Pakistan from 2017 to 2023, aiming to inform policy and mitigation efforts. High precipitation intensity from July to August 2022 exacerbated the impact of the floods, revealing the region's vulnerability. The method uses spatial analysis from Existing artificial intelligence (AI) land classification models, which were enhanced by bringing together a massive training dataset of billions of human-labeled image pixels. The analysis reveals a stark reality: Pakistan's forest cover is a mere 2%, highlighting the critical need for intervention. Examining land cover dynamics over the six years illuminates trends and projections crucial for environmental planning. Protecting existing forest cover along with Government-led afforestation initiatives underway signal a proactive response, intending to bolster environmental resilience and reduce the susceptibility to natural disasters. Insights gleaned from this research serve as a foundation for strategic policy formulation, guiding efforts to enhance environmental quality and safeguard against future calamities in Pakistan.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.