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eISSN: 2083-5906
ISSN: 1230-1485
ISSN: 1230-1485
ORIGINAL RESEARCH
Forest Carbon Sequestration Ecological
Engineering Afforestation Technology and Carbon
Sink Accounting Calculation Model
Based on a Genetic Fuzzy Algorithm
1
School of Economics and Management, Harbin University, Harbin 150086, Heilongjiang, China
2
Architecture Department, Shijiazhuang Institute of Railway Technology, Shijiazhuang 050041, Hebei, China
Submission date: 2024-07-24
Final revision date: 2025-02-05
Acceptance date: 2025-03-04
Online publication date: 2025-04-16
Publication date: 2026-04-21
Corresponding author
Jianwei Zhao
Architecture Department, Shijiazhuang Institute of Railway Technology, Shijiazhuang 050041, Hebei, China
Architecture Department, Shijiazhuang Institute of Railway Technology, Shijiazhuang 050041, Hebei, China
Pol. J. Environ. Stud. 2026;35(2):2817-2829
KEYWORDS
forest carbon sinkgenetic algorithmfuzzy algorithmecological engineeringafforestation techniquecomputational modeling
TOPICS
ABSTRACT
In order to explore the role of afforestation technology in responding to climate change, abnormal
weather conditions such as snow melting need to be considered alongside evaluating the benefits
of forest carbon sink ecological engineering afforestation technology. This paper adopts forest carbon
sink ecological engineering afforestation technology based on a genetic fuzzy algorithm and combines
static and dynamic economic evaluation indicators to evaluate the benefits. Dividing a wasteland
in S City into regions and conducting group experiments, detailed measurements of indicators such
as forest carbon storage, vegetation coverage, species richness index, and soil water retention capacity
were carried out. The results showed that the experimental group’s forest carbon storage, vegetation
coverage, and species richness were higher than those of the control group. The economic benefit
evaluation indicators such as net present value (NPV), net present value rate (NPVR), internal rate of
return (IRR), and benefit-cost ratio (BCR) were also better, proving the effectiveness of afforestation
technology in improving forest carbon sink capacity and economic benefits.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
REFERENCES (33)
1.
ESTELA N.R. Afforestation after land abandonment as a nature-based solution in Mediterranean mid-mountain areas: Implications and research gaps. Current Opinion in Environmental Science & Health. 34, 100481, 2023. https://doi.org/10.1016/j.coes....
2.
SABIR M. ALI Y., KHAN I., SALMAN A. Plants species selection for afforestation: A case study of the Billion Tree Tsunami Project of Pakistan. Journal of Sustainable Forestry. 41 (6), 537, 2022. https://doi.org/10.1080/105498....
3.
KOSOLAPOV V.M. Using Microorganismal Consortium and Bioactive Substances to Treat Seeds of Two Scots Pine Ecotypes as a Technique to Increase Re-Afforestation Efficiency on Chalk Outcrops. Forests. 14 (6), 1093, 2023. https://doi.org/10.3390/f14061....
4.
TONG X., BRANDT M., YUE Y., HORION S., WANG K., KEERSMAECKER W.D., TIAN F., SCHURGERS G., XIAO X., LUO Y. Increased vegetation growth and carbon stock in China karst via ecological engineering. Nature Sustainability. 1 (1), 44, 2018. https://doi.org/10.1038/s41893....
5.
WANG X., WEI L., ZHANG F., LI X., PAN W., ZHANG Q., CAI J. Analysis of Forestry Carbon Sink and Potential Improvement in Guangdong Province. Forestry and Environmental Science. 35 (3), 7, 2019.
6.
ZHANG Z., CAI H., ZHANG P., WANG Z., LI T. Research on spatial-temporal changes of vegetation carbon source/sink in Sanjiangyuan based on GEE remote sensing cloud platform. Natural Resources Remote Sensing. 35 (1), 231, 2023.
7.
MORRIS R.L., KONLECHNER T.M., GHISALBERTI M., SWEARER S.E. From grey to green: Efficacy of ecoengineering solutions for nature-based coastal defence. Global Change Biology. 24 (5), 1827, 2018. https://doi.org/10.1111/gcb.14... PMid:29350842.
8.
WALKER A.P., KAUWE M.G.D., BASTOS A., BELMECHERI S., ZUIDEMA P.A. Integrating the evidence for a terrestrial carbon sink caused by increasing atmospheric CO2. New Phytologist. 229 (5), 2413, 2021.
9.
AINO A., JANNE R., OLLI T. Economics of sizestructured forestry with carbon storage. Canadian Journal of Forest Research. 48 (1), 11, 2018. https://doi.org/10.1139/cjfr-2....
10.
TENG Z. Carbon Sequestration and Forestry Evaluation Model-Based on IPCC Method and GA Method. International Core Journal of Engineering. 8 (8), 295, 2022.
11.
KOYEL S. Modeling the effectiveness of natural and anthropogenic disturbances on forest health in Buxa Tiger Reserve, India, using fuzzy logic and AHP approach. Modeling Earth Systems and Environment. 8 (2), 2261, 2022. https://doi.org/10.1007/s40808....
12.
TIKENDRAJIT S., HAZARIKA J., KURMI K.K., GOGOI D., KUMAR K. Seed Bomb: A new approaches of afforestation: An overview. The Pharma Innovation. 12 (10), 2114, 2023.
13.
SAVERIO F. Reusing remote sensing-based validation data: comparing direct and indirect approaches for afforestation monitoring. Remote Sensing. 15 (6), 1638, 2023. https://doi.org/10.3390/rs1506....
14.
YILDIZ O., EEN D., SARGNC M., ETIN B., TOPRAK B., DNMEZ A.H. Restoration success in afforestation sites established at different times in arid lands of Central Anatolia. Forest Ecology and Management. 503, 119808, 2022. https://doi.org/10.1016/j.fore....
15.
CAO Y., FAN X., GUO Y., LI S., HUANG H. Multiobjective optimization of injection-molded plastic parts using entropy weight, random forest, and genetic algorithm methods. Journal of Polymer Engineering. 40 (4), 360, 2020. https://doi.org/10.1515/polyen....
16.
PAN Y., BIRDSEY R.A., PHILLIPS O.L. The enduring world forest carbon sink. Nature. 631 (8021), 563, 2024. https://doi.org/10.1038/s41586... PMid:39020035.
17.
KE S., ZHANG Z., WANG Y. China's forest carbon sinks and mitigation potential from carbon sequestration trading perspective. Ecological Indicators. 148, 110054, 2023. https://doi.org/10.1016/j.ecol....
18.
CHEN T., SHANG C., YANG J., LI F., SHEN Q. A new approach for transformation-based fuzzy rule interpolation. IEEE Transactions on Fuzzy Systems. 28 (12), 3330, 2019. https://doi.org/10.1109/TFUZZ.....
19.
MARTÍNEZ-GARCÍA E., NILSSON M.B., LAUDON H., LUNDMARK T., FRANSSON J.E., WALLERMAN J., PEICHL M. Drought response of the boreal forest carbon sink is driven by understorey-tree composition. Nature Geoscience. 17 (3), 197, 2024. https://doi.org/10.1038/s41561....
20.
HUBAU W., LEWIS S., PHILLIPS O., AFFUM-BAFFOE K., BEECKMAN H., CUNI-SANCHEZ A., DANIELS A.K., EWANGO C. Asynchronous carbon sink saturation in African and Amazonian tropical forests. Nature. 579 (7797), 80, 2020.
21.
THOMAS A.M., LINDESKOG M., SMITH B., CALLE L. Role of forest regrowth in global carbon sink dynamics. Proceedings of the National Academy of Sciences. 116 (10), 4382, 2019. https://doi.org/10.1073/pnas.1... PMid:30782807 PMCid:PMC6410874.
22.
ABID F. A survey of machine learning algorithms based forest fires prediction and detection systems. Fire Technology. 57 (2), 559, 2021. https://doi.org/10.1007/s10694....
23.
LIU Q., WANG S., MA R., HUANG F., LI J., YE S., GUO Y. Comparative analysis of forest soil carbon sink and source based on bibliometrics: Development, hotspots, and trends. Journal of Cleaner Production. 480, 144106, 2024. https://doi.org/10.1016/j.jcle....
24.
FAN J., WANG H., ZHOU D., MA N., LIU B. Policy approaches to optimizing ecological construction layout and improving carbon sequestration capacity. Journal of the Chinese Academy of Sciences. 37 (4), 459, 2022.
25.
ZHANG Y., MENG N., JIANG Y. Analysis on the coupling between forest carbon sink and forestry economic development in China and the characteristics of Secular variation. Journal of Beijing Forestry University. 44 (10), 129, 2022.
26.
ISUKURU E.J., OGUNKEYEDE A.O., ADEBAYO A.A., URUEJOMA M.F. Potentials of bamboo and its ecological benefits in Nigeria. Advances in Bamboo Science. 4, 100032, 2023. https://doi.org/10.1016/j.bamb....
27.
WANG J., SHI K., HU M. Measurement of forest carbon sink efficiency and its influencing factors empirical evidence from China. Forests. 13 (11), 1909, 2022. https://doi.org/10.3390/f13111....
28.
WEI J., SHEN M. Analysis of the efficiency of forest carbon sinks and its influencing factors-Evidence from China. Sustainability. 14 (18), 11155, 2022. https://doi.org/10.3390/su1418....
29.
MAGERL A., MATEJ S., KAUFMANN L., NO J.L., ERB K., GINGRICH S. Forest carbon sink in the US (1870-2012) driven by substitution of forest ecosystem service flows. Resources, Conservation and Recycling. 176, 105927, 2022. https://doi.org/10.1016/j.resc....
30.
XU C., WANG B., CHEN J. Forest carbon sink in China: Linked drivers and long short-term memory networkbased prediction. Journal of Cleaner Production. 359, 132085, 2022. https://doi.org/10.1016/j.jcle....
31.
ZHANG H. Relationship between the geographical environment and the forest carbon sink capacity in China based on an individual-tree growth-rate model. Ecological Indicators. 138, 108814, 2022. https://doi.org/10.1016/j.ecol....
32.
WEI Q. ZHOU C., HUANG Z.J. A barrier evaluation framework for forest carbon sink project implementation in China using an integrated BWM-IT2F-PROMETHEE II method. Expert Systems with Applications. 230, 120612, 2023. https://doi.org/10.1016/j.eswa....
33.
YU Z., CIAIS P., PIAO S., HOUGHTON R.A., LU C., TIAN H., AGATHOKLEOUS E., KATTEL G.R., SITCH S., GOLL D. Forest expansion dominates China's land carbon sink since 1980. Nature Communications. 13 (1), 5374, 2022. https://doi.org/10.1038/s41467... PMid:36100606 PMCid:PMC9470586.
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| eISSN: | 2083-5906 |
| ISSN: | 1230-1485 |
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