Skip to main navigation Skip to search Skip to main content

Monitoring of large-scale forest restoration: Evidence of vegetation recovery and reversing chronic ecosystem degradation in the mountain region of Pakistan

  • Sawaid Abbas*
  • , Faisal Mueen Qamer*
  • , Hassan Ali
  • , Muhammad Usman
  • , Ajaz Ahmad
  • , Aneel Salman
  • , Aqeela Mobeen Akhter
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

Global ecosystem restoration efforts are aimed at climate change mitigation. In response to the challenge of global warming and supporting local adaptation, the Billion Tree Tsunami Afforestation Program (BTAP) was launched in 2014 to restore depleted forest ecosystems by extensive afforestation and/or reforestation in the Khyber Pakhtunkhwa Province of Pakistan. Under the BTAP, afforestation of all categories was carried out in an area of 300,000 ha, and 160 million plants were distributed under Farm Forestry and 4509 enclosures were established for Assisting Natural Regeneration (ANR) with the help of the local community. The present study evaluated historic deforestation trends using bi-temporal (1990–2010) change analysis and the performance of recent forest ecosystem restoration efforts based on time series analysis of stallite images. A total of 226 afforestation sites of the BTAP – Phase I were examined to determine the vegetation growth and evidence of ecosystem restoration efforts by regression and trend analysis of the annual normalized difference vegetation index (NDVI) composites from 2014 to 2021. The forest plantation and protected natural regeneration performance across the three key forest management regions of the Southern, Malakand and Northern zones remained variable, with growth values of 29%, 47% and 24%, respectively. The results suggest that the three forest regions lost 3.2% of the forest between 1990 and 2010. While accounting for most conservative figures validated from satellite data, the BTAP interventions during 2014–2018 improved the overall forest cover from 14.5% to 16.5% in these regions. The framework developed in this study and the derived results can help to formulate an evidence-based assessment of indicators for ecological restoration and nature-based solutions.

Original languageEnglish
Article number102277
JournalEcological Informatics
Volume77
DOIs
StatePublished - Nov 2023
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2023 Elsevier B.V.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 2 - Zero Hunger
    SDG 2 Zero Hunger
  2. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities
  3. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production
  4. SDG 13 - Climate Action
    SDG 13 Climate Action
  5. SDG 15 - Life on Land
    SDG 15 Life on Land

Keywords

  • Afforestation
  • Billion Tree Tsunami Afforestation Program (BTAP)
  • Deforestation
  • Forest degradation
  • Forest resources
  • Forest restoration
  • Pakistan
  • Plantation
  • Vegetation recovery

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Ecology
  • Modeling and Simulation
  • Ecological Modeling
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Applied Mathematics

Fingerprint

Dive into the research topics of 'Monitoring of large-scale forest restoration: Evidence of vegetation recovery and reversing chronic ecosystem degradation in the mountain region of Pakistan'. Together they form a unique fingerprint.

Cite this