Enhancing Carbon Sequestration through Afforestation: Evaluating the Impact of Land Use and Cover Changes on Carbon Storage Dynamics

被引:21
作者
Haseeb, Muhammad [1 ]
Tahir, Zainab [1 ]
Mehmood, Syed Amer [1 ]
Gill, Sajjad Ali [2 ]
Farooq, Nida [1 ]
Butt, Hamna [1 ]
Iftikhar, Asfa [1 ]
Maqsood, Aamer [1 ]
Abdullah-Al-Wadud, M. [3 ]
Tariq, Aqil [4 ]
机构
[1] Univ Punjab, Dept Space Sci, Lahore 54780, Pakistan
[2] Univ Punjab, Dept Sports Sci & Phys Educ, Lahore 54780, Pakistan
[3] King Saud Univ, Coll Comp & Informat Sci, Dept Software Engn, Riyadh 11543, Saudi Arabia
[4] Mississippi State Univ, Coll Forest Resources, Dept Wildlife Fisheries & Aquaculture, Mississippi State, MS 39762 USA
关键词
Carbon sequestration; Land use and land cover changes (LULCC); Remote sensing; Billion tree tsunami Project (BTTP); Khyber pakhtunkhwa (KPK); Pakistan; ECOSYSTEMS; VEGETATION; LINKING; REGION; CHINA; URBAN; FIELD;
D O I
10.1007/s41748-024-00414-z
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Carbon sequestration is crucial for achieving net zero emissions and plays a vital role in mitigating climate change. However, changes in forest cover are having a significant impact on the amount of carbon stored in terrestrial ecosystems as forests play a crucial role in mitigating climate change by effectively storing and sequestering carbon dioxide (CO2) from the atmosphere. Assessing the impact of changes in land use and land cover (LULC) on the ability of forest ecosystems to store carbon (CS) is challenging. This study employs remote sensing techniques to examine the changes in spatiotemporal patterns of CS in Khyber Pakhtunkhwa (KPK), resulting from LULC alterations between 2002 and 2022. Using the Google Earth Engine (GEE), we identified patterns of LULC change for three distinct years; and The Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model was employed to assess the evolving CS patterns. The study evaluates the effectiveness of the Billion Tree Tsunami (BTTP) afforestation initiative, revealing a substantial 63% increase in forest area, indicating enhanced carbon sequestration. The carbon storage has increased from 6824 Mg/m2 to 7435 Mg/m2, representing a 9% overall increase. This can be attributed to the improved vegetation and forest cover. This research provides insights into the geographical distribution and magnitude of forestation's impact on carbon sequestration over the past two decades. Based on the findings, this study highlights the importance of implementing initiatives like BTTP and adopting policies and management strategies that promote sustainable urbanization without jeopardizing carbon reservoirs in the country. Google Earth Engine reveals a significant 63% increase in forest area due to the Billion Tree Tsunami initiative.Carbon storage shows a noteworthy 9% overall rise, confirming the positive impact of increased vegetation and forest cover.Examining the years 2002 to 2022, the study emphasizes the success of afforestation efforts in Khyber Pakhtunkhwa, Pakistan.The research provides essential insights for well-informed afforestation projects, highlighting their importance in sustainable land management and proactive climate action.
引用
收藏
页码:1563 / 1582
页数:20
相关论文
共 82 条
[1]   Carbon stocks of different land uses in the Kumrat valley, Hindu Kush Region of Pakistan [J].
Ahmad, Adnan ;
Nizami, Syed Moazzam .
JOURNAL OF FORESTRY RESEARCH, 2015, 26 (01) :57-64
[2]  
Akhtar Z., 2023, P ACM WEB C 2023 P W, P4120
[3]   Integrating forest cover change and carbon storage dynamics: Leveraging Google Earth Engine and InVEST model to inform conservation in hilly regions [J].
Al Kafy, Abdulla ;
Saha, Milan ;
Fattah, Md. Abdul ;
Rahman, Muhammad Tauhidur ;
Duti, Bushra Monowar ;
Rahaman, Zullyadini A. ;
Bakshi, Arpita ;
Kalaivani, S. ;
Rahaman, Sk Nafiz ;
Sattar, Golam Shabbir .
ECOLOGICAL INDICATORS, 2023, 152
[4]  
[Anonymous], 2014, J Pollution Eff Control, DOI [10.4172/jpe.1000110, DOI 10.4172/2375-4397.1000110]
[5]   Comparison between random forest and support vector machine algorithms for LULC classification [J].
Avci, Cengiz ;
Budak, Muhammed ;
Yagmur, Nur ;
Balcik, Filiz Bektas .
INTERNATIONAL JOURNAL OF ENGINEERING AND GEOSCIENCES, 2023, 8 (01) :1-10
[6]   The Dynamics of Public Perceptions and Climate Change in Swat Valley, Khyber Pakhtunkhwa, Pakistan [J].
Bacha, Muhammad Suleman ;
Muhammad, Muhammad ;
Kilic, Zeyneb ;
Nafees, Muhammad .
SUSTAINABILITY, 2021, 13 (08)
[7]   DETERMINATION OF LAND COVER/LAND USE USING SPOT 7 DATA WITH SUPERVISED CLASSIFICATION METHODS [J].
Balcik, F. Bektas ;
Kuzucu, A. Karakacan .
3RD INTERNATIONAL GEOADVANCES WORKSHOP, 2016, 42-2 (W1) :143-146
[8]   Forest carbon stocks under three canopy densities in Sitapahar natural forest reserve in Chittagong Hill Tracts of Bangladesh [J].
Baul, Tarit Kumar ;
Chowdhury, Anwarul Islam ;
Uddin, Md Jamal ;
Hasan, Mohammad Kamrul ;
Kilpelainen, Antti ;
Nandi, Rajasree ;
Sultana, Taslima .
FOREST ECOLOGY AND MANAGEMENT, 2021, 492
[9]   Evaluation of ecosystem services in a protected mountain area: Soil organic carbon stock and biodiversity in alpine forests and grasslands [J].
Canedoli, Claudia ;
Ferre, Chiara ;
Abu El Khair, Davide ;
Comolli, Roberto ;
Liga, Claudio ;
Mazzucchelli, Francesca ;
Proietto, Angela ;
Rota, Noemi ;
Colombo, Giacomo ;
Bassano, Bruno ;
Viterbi, Ramona ;
Padoa-Schioppa, Emilio .
ECOSYSTEM SERVICES, 2020, 44
[10]  
Dar JA, 2020, ENVIRON SCI-GER, P483, DOI 10.1007/978-3-030-32463-6_24