PMID- 36711385 OWN - NLM STAT- MEDLINE DCOM- 20230131 LR - 20230918 IS - 2296-2565 (Electronic) IS - 2296-2565 (Linking) VI - 10 DP - 2022 TI - Carbon sequestration potential of different forest types in Pakistan and its role in regulating services for public health. PG - 1064586 LID - 10.3389/fpubh.2022.1064586 [doi] LID - 1064586 AB - A high amount of CO(2) causes numerous health effects, including headaches, restlessness, difficulty in breathing, increased heart rate, high blood pressure, asphyxia, and dizziness. This issue of increasing atmospheric CO(2) can only be solved via above-ground and below-ground carbon sequestration (CS). This study was designed to determine the relationship between CS with the crown area (CA), diameter at breast height (DBH), height (H), species richness (SR), and elevation in different forest types of Pakistan with the following specific objectives: (1) to quantify the direct and indirect relationship of carbon sequestration with CA, DBH, H, and SR in various natural forest types and (2) to evaluate the effect of elevation on the trees functional traits and resultant CS. We used the linear structural equation model (SEM) for each conceptual model. Our results confirmed that the highest CS potential was recorded for dry temperate conifer forests (DTCF) i.e., 52.67%, followed by moist temperate mix forests (MTMF) and sub-tropical broad-leaved forests (STBLF). The SEM further described the carbon sequestration variation, i.e., 57, 32, 19, and 16% under the influence of CA (beta = 0.90 and P-value < 0.001), H (beta = 0.13 and p-value = 0.05), DBH (beta = 0.07 and p-value = 0.005), and SR (beta = -0.55 and p-value = 0.001), respectively. The individual direct effect of SR on carbon sequestration has been negative and significant. At the same time, the separate effect of CA, DBH, and H had a positive and significant effect on carbon sequestration. The remaining 20% of CS variations are indirectly influenced by elevation. This means that elevation affects carbon sequestration indirectly through CA, DBH, H, and SR, i.e., beta = 0.133 and P-value < 0.166, followed by beta = 0.531 and P-value < 0.001, beta = 0.007 and P-value < 0.399, and beta = -0.32 and P-value < 0.001, respectively. It is concluded that abiotic factors mainly determined carbon sequestration in forest ecosystems along with the elevation gradients in Pakistan. Quantifying the role of various forest types in carbon dioxide (CO(2)) reduction leads to improved air quality, which positively impacts human health. This is an imperative and novel study that links the dynamics of the biosphere and atmosphere. CI - Copyright (c) 2023 Ali, Khan, Ahmad, Siddiq, Ullah, Yoo, Han and Raposo. FAU - Ali, Shahab AU - Ali S AD - Department of Plant Sciences, Quaid-i-Azam University, Islamabad, Pakistan. FAU - Khan, Shujaul Mulk AU - Khan SM AD - Department of Plant Sciences, Quaid-i-Azam University, Islamabad, Pakistan. AD - Member Pakistan Academy of Sciences, Islamabad, Pakistan. FAU - Ahmad, Zeeshan AU - Ahmad Z AD - Department of Plant Sciences, Quaid-i-Azam University, Islamabad, Pakistan. FAU - Siddiq, Zafar AU - Siddiq Z AD - Department of Botany, Government College University, Lahore, Pakistan. FAU - Ullah, Abd AU - Ullah A AD - Department of Plant Sciences, Quaid-i-Azam University, Islamabad, Pakistan. FAU - Yoo, Sunghoon AU - Yoo S AD - Audit Team, Hanmoo Convention (Oakwood Premier), Seoul, Republic of Korea. FAU - Han, Heesup AU - Han H AD - College of Hospitality and Tourism Management, Sejong University, Seoul, Republic of Korea. FAU - Raposo, Antonio AU - Raposo A AD - CBIOS (Research Center for Biosciences and Health Technologies), Universidade Lusofona de Humanidades e Tecnologias, Lisboa, Portugal. LA - eng PT - Journal Article DEP - 20230113 PL - Switzerland TA - Front Public Health JT - Frontiers in public health JID - 101616579 RN - 142M471B3J (Carbon Dioxide) SB - IM MH - Humans MH - *Ecosystem MH - *Carbon Sequestration MH - Carbon Dioxide MH - Pakistan MH - Public Health MH - Forests PMC - PMC9881653 OTO - NOTNLM OT - air quality OT - carbon sequestration OT - elevation OT - regional scale OT - structural equation model OT - trees functional traits COIS- The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. EDAT- 2023/01/31 06:00 MHDA- 2023/02/01 06:00 PMCR- 2023/01/13 CRDT- 2023/01/30 03:53 PHST- 2022/10/08 00:00 [received] PHST- 2022/12/28 00:00 [accepted] PHST- 2023/01/30 03:53 [entrez] PHST- 2023/01/31 06:00 [pubmed] PHST- 2023/02/01 06:00 [medline] PHST- 2023/01/13 00:00 [pmc-release] AID - 10.3389/fpubh.2022.1064586 [doi] PST - epublish SO - Front Public Health. 2023 Jan 13;10:1064586. doi: 10.3389/fpubh.2022.1064586. eCollection 2022.