Modeling the Impact of Direct Air Capture on Forest Biomass and Population Dynamics
Priya Verma
1
,
Jasmeet Kaur
2
,
Maninder Singh Arora
1
,
Muhammad Mubashar Dogar
3, 4, 5
,
Sanju Purohit
6
1
Department of Mathematics, P.P.N. P.G. College, Parade, Kanpur, India
|
2
Department of Chemistry, Kanpur, India
|
3
Research Institute for Global Change, Agency for Marine-Earth Science and Technology, Yokohama, Japan
|
5
Global Climate-Change Impact Studies Centre, Ministry of Climate Change, Islamabad, Pakistan
|
6
Department of Environmental/Ecological Studies and Sustainability, Akamai University, Hilo, USA
|
Publication type: Journal Article
Publication date: 2025-02-28
scimago Q1
wos Q1
SJR: 1.391
CiteScore: 11.7
Impact factor: 4.7
ISSN: 25099426, 25099434
Abstract
Anthropogenic carbon dioxide ( $$\:C{O}_{2}$$ ) emissions are considered a key driver of global temperature rise, which disrupts forest biomass productivity by altering plant phenology and increasing the frequency of forest fires. To combat this, carbon capture and sequestration (CCS) technologies, including direct air capture (DAC), have received significant attention. This study presents a novel mathematical model that integrates DAC with human population, forest biomass, atmospheric temperature and concentration of $$\:C{O}_{2}$$ . The model system has four non-negative equilibria, out of which, three are boundary equilibria and one is biologically feasible positive equilibrium. The stability of the system’s positive equilibrium is established through Lyapunov’s direct method. The stability conditions demonstrate that $$\:C{O}_{2}$$ depletion rate via DAC has a stabilizing effect on the climate system, whereas the anthropogenic emission rate has destabilizing impact. This shows the potential benefits and long-term impact of DAC. Further, using historical data from 1990 to 2021, the model is calibrated to match trends in global forest biomass, human population, $$\:C{O}_{2}$$ concentration, and atmospheric temperature. To tackle the issue of high operational costs associated with DAC, while also recognizing the cost associated with detrimental impact of $$\:{CO}_{2}$$ , a cost-effective strategy is proposed for deploying DAC that leverages optimal control theory. For this purpose, a cost functional is proposed involving these two components of cost. The cost functional is found to be minimal for the optimal control strategy as compared to no control as well as constant heuristic control strategies. The findings offer valuable insights into the role of DAC in stabilizing atmospheric $$\:C{O}_{2}$$ levels and provide guidance for policymakers who aim to balance environmental and economic factors in their climate change mitigation efforts.
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Verma P. et al. Modeling the Impact of Direct Air Capture on Forest Biomass and Population Dynamics // Earth Systems and Environment. 2025.
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Verma P., Kaur J., Arora M. S., Dogar M. M., Purohit S. Modeling the Impact of Direct Air Capture on Forest Biomass and Population Dynamics // Earth Systems and Environment. 2025.
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TY - JOUR
DO - 10.1007/s41748-025-00599-x
UR - https://link.springer.com/10.1007/s41748-025-00599-x
TI - Modeling the Impact of Direct Air Capture on Forest Biomass and Population Dynamics
T2 - Earth Systems and Environment
AU - Verma, Priya
AU - Kaur, Jasmeet
AU - Arora, Maninder Singh
AU - Dogar, Muhammad Mubashar
AU - Purohit, Sanju
PY - 2025
DA - 2025/02/28
PB - Springer Nature
SN - 2509-9426
SN - 2509-9434
ER -
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@article{2025_Verma,
author = {Priya Verma and Jasmeet Kaur and Maninder Singh Arora and Muhammad Mubashar Dogar and Sanju Purohit},
title = {Modeling the Impact of Direct Air Capture on Forest Biomass and Population Dynamics},
journal = {Earth Systems and Environment},
year = {2025},
publisher = {Springer Nature},
month = {feb},
url = {https://link.springer.com/10.1007/s41748-025-00599-x},
doi = {10.1007/s41748-025-00599-x}
}