Thursday, May 7, 2026
Science
No Result
View All Result
  • Login
  • HOME
  • SCIENCE NEWS
  • CONTACT US
  • HOME
  • SCIENCE NEWS
  • CONTACT US
No Result
View All Result
Scienmag
No Result
View All Result
Home Science News Social Science

Estimating Carbon Emissions from Land-Use Changes in Bangladesh’s Chittagong Hill Tracts

May 7, 2026
in Social Science
Reading Time: 4 mins read
0
Estimating Carbon Emissions from Land-Use Changes in Bangladesh’s Chittagong Hill Tracts — Social Science

Estimating Carbon Emissions from Land-Use Changes in Bangladesh’s Chittagong Hill Tracts

65
SHARES
591
VIEWS
Share on FacebookShare on Twitter
ADVERTISEMENT

A comprehensive new study has sounded a stark warning about the environmental and economic risks posed by ongoing forest loss and land-use transformation in Bangladesh’s Chittagong Hill Tracts (CHT). Through a rigorous three-decade spatiotemporal analysis combined with advanced predictive modeling techniques, the research illuminates how shifting land use patterns are progressively diminishing the region’s capacity for carbon storage and sequestration, portending significant ecological degradation and monetary loss by the year 2043.

Published recently in the journal Carbon Research, the investigation leverages extensive satellite data spanning 1993 to 2023 to capture how land cover dynamics have evolved across the CHT, a critically important ecological zone featuring rich biodiversity and vital forest resources. The research team applied sophisticated computational modeling—incorporating Land Change Modeler, Cellular Automata Markov Chain methodology, and Multi-Layer Perceptron neural networks—to generate projections of land cover for the upcoming two decades, revealing alarming trends.

Central to the study’s findings is the identification of a consistent decrease in deep forest areas, a key carbon reservoir, juxtaposed against marked expansions in built-up infrastructure, agricultural lands, and fragmented shrublands containing scattered trees. Quantitatively, deep forest cover shrank by approximately 6.23% over the last thirty years, while shrubland and developed regions grew by 10.34% and 1.10% respectively. These transitions underline the intensifying anthropogenic pressures reshaping this unique terrain.

The researchers attribute these land-use changes to multiple converging factors: burgeoning population growth, infrastructural development initiatives, expanding agricultural fronts, the persistence of traditional shifting cultivation practices, infrastructural encroachments like hill cutting, tourism expansion, and rampant illegal logging activities. Each of these contributes to forest fragmentation and the conversion of dense timbered tracts into less carbon-dense land types.

To quantitatively assess carbon stock changes, the study employed carbon density metrics derived from various biomass pools—including above-ground and below-ground biomass, soil organic carbon reserves, and accumulated dead organic matter. These carbon-specific parameters allowed the researchers to estimate total carbon storage variations across the CHT landscape through different temporal snapshots.

The results indicate a troubling decline in overall carbon stock—from an estimated 75,674 megagrams (Mg) of stored carbon in 1993, down to a projected 70,221 Mg by 2043. Though intermittent periods—most notably between 2003 and 2013—showed marginal positive carbon sequestration gains (around 227 Mg), presumably due to enhanced environmental protection efforts during that decade, the general trend remains persistently negative.

This net reduction in carbon sequestration potential directly threatens the region’s role as a natural climate buffer, exacerbating its vulnerability to climate change-induced disturbances. Prolonged declines in carbon storage capacity signify not only increased atmospheric CO2 contributions but also diminished ecosystem resilience and biodiversity support functions.

Economically, the repercussions are equally significant. By translating carbon sequestration data through the lens of the social cost of carbon—a metric that encapsulates monetized climate damage—the study calculated that the value of sequestered carbon has oscillated between losses totaling $263,944 USD to transient gains of $18,074 USD. As sequestration falters, attendant economic damages are poised to mount, underscoring the fiscal imperatives of forest conservation.

The authors argue that these insights provide a critical evidence base for policymakers aiming to mitigate climate impacts while safeguarding the livelihoods of diverse local communities in the CHT region. Identifying degradation hotspots, prioritizing reforestation efforts, and enforcing stricter forest conservation policies form essential strategies for reversing adverse trends.

Moreover, the study highlights the need for the integration of sustainable land management practices that reconcile development pressures with ecological preservation. Protecting intact deep forests and restoring ecologically degraded landscapes could serve as pivotal levers for enhancing carbon sinks, strengthening climate adaptation capacities, and preserving the unique biodiversity that defines the Chittagong Hill Tracts.

The multidisciplinary approach of this research, combining remote sensing technology, machine learning-based predictive modeling, and carbon accounting, exemplifies cutting-edge environmental science’s capacity to address complex socio-ecological challenges. The results underline the urgency of adopting proactive land use frameworks tailored to the region’s particular vulnerabilities and potentials.

In sum, this study vividly illustrates the interconnectedness of land use change, carbon dynamics, biodiversity conservation, and socio-economic wellbeing in the Chittagong Hill Tracts. Its findings resonate far beyond Bangladesh, serving as a cautionary tale and a roadmap for other forested, ecologically sensitive regions confronting similar developmental and climatic pressures.

As the scientific community continues to unravel the nuanced mechanisms by which human activities influence terrestrial carbon cycles, such region-specific investigations are paramount for guiding global climate mitigation policies. The Chittagong Hill Tracts study stands out as a benchmark for leveraging advanced analytical tools to predict and preempt environmental decline while fostering sustainable economic development.

Looking forward, the authors emphasize that the study’s outcomes are not merely academic but carry practical weight to shape effective forest management, land use planning, and climate adaptation policies. The message is clear: without concerted conservation efforts and wise land use decisions today, the Chittagong Hill Tracts risk losing vital ecological functions and economic opportunities tied to their forest carbon stocks over the coming decades.

Subject of Research: Land use transformation impacts on carbon sequestration in the Chittagong Hill Tracts, Bangladesh.

Article Title: Land use transformation and carbon sequestration in the Chittagong Hill Tracts, Bangladesh: a spatiotemporal and predictive analysis with economic implications.

News Publication Date: 20-Apr-2026.

Web References: http://dx.doi.org/10.1007/s44246-025-00251-3

References:
Khandaker, M., Kamal, A.S.M.M., Hossain, M.J. et al. Land use transformation and carbon sequestration in the Chittagong Hill Tracts, Bangladesh: a spatiotemporal and predictive analysis with economic implications. Carbon Res. 5, 27 (2026).

Image Credits: Mahfuja Khandaker, A. S. M. Maksud Kamal, Md. Jakir Hossain, Md. Zillur Rahman, Md. Shakhawat Hossain & Subrata Sarker.

Keywords: Land use change, Carbon sequestration, Chittagong Hill Tracts, Bangladesh, Forest conservation, Remote sensing, Predictive modeling, Environmental economics, Climate mitigation, Carbon storage, Sustainable land management, Ecosystem services.

Tags: biodiversity impact of forest fragmentationcarbon emissions from land-use changecarbon sequestration decline BangladeshCellular Automata Markov Chain land useeconomic risks of land transformationforest loss in Chittagong Hill TractsLand Change Modeler applicationsland cover change projections 2043Multi-Layer Perceptron neural networks in ecologypredictive modeling of deforestationsatellite data for forest monitoringspatiotemporal land cover analysis
Share26Tweet16
Previous Post

Researchers Develop Smarter, More Efficient Computer Hardware Inspired by the Brain

Next Post

Study Finds Beer and Cannabis May Share Common ‘Sex Switch’ Mechanism

Related Posts

Hasanuddin University Develops Community-Based Protocol to Prevent Suicide Among Adolescent Girls — Social Science
Social Science

Hasanuddin University Develops Community-Based Protocol to Prevent Suicide Among Adolescent Girls

May 7, 2026
The ‘Nostalgia Effect’: How Aging Scientists Shift Toward Less Disruptive Research — Social Science
Social Science

The ‘Nostalgia Effect’: How Aging Scientists Shift Toward Less Disruptive Research

May 7, 2026
Forest Fuel Treatments Slash Wildfire Risk and Costs, Study Finds — Social Science
Social Science

Forest Fuel Treatments Slash Wildfire Risk and Costs, Study Finds

May 7, 2026
Democracy’s Role in Economic and Social Progress — Social Science
Social Science

Democracy’s Role in Economic and Social Progress

May 7, 2026
Scientists Unlock the ‘Black Box’ of Depression Treatment for the First Time — Social Science
Social Science

Scientists Unlock the ‘Black Box’ of Depression Treatment for the First Time

May 7, 2026
Despite Advances, Many Patients Remain Untreated for Metastatic Lung Cancer — Social Science
Social Science

Despite Advances, Many Patients Remain Untreated for Metastatic Lung Cancer

May 7, 2026
Next Post
Study Finds Beer and Cannabis May Share Common ‘Sex Switch’ Mechanism — Agriculture

Study Finds Beer and Cannabis May Share Common ‘Sex Switch’ Mechanism

  • Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study

    Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study

    27640 shares
    Share 11052 Tweet 6908
  • University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept

    1044 shares
    Share 418 Tweet 261
  • Bee body mass, pathogens and local climate influence heat tolerance

    678 shares
    Share 271 Tweet 170
  • Researchers record first-ever images and data of a shark experiencing a boat strike

    541 shares
    Share 216 Tweet 135
  • Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function

    527 shares
    Share 211 Tweet 132
Science

Embark on a thrilling journey of discovery with Scienmag.com—your ultimate source for cutting-edge breakthroughs. Immerse yourself in a world where curiosity knows no limits and tomorrow’s possibilities become today’s reality!

RECENT NEWS

  • Spermidine Halts Liver Fibrosis by Cell Signal Remodeling
  • Triose Phosphate Isomerase 1 Rewires Microglial Metabolism
  • Nationwide Study Aims to Enhance Sleep Quality in ICU Patients
  • Risky Choices Expose Biased Sampling, Sequence Effects

Categories

  • Agriculture
  • Anthropology
  • Archaeology
  • Athmospheric
  • Biology
  • Biotechnology
  • Blog
  • Bussines
  • Cancer
  • Chemistry
  • Climate
  • Earth Science
  • Editorial Policy
  • Marine
  • Mathematics
  • Medicine
  • Pediatry
  • Policy
  • Psychology & Psychiatry
  • Science Education
  • Social Science
  • Space
  • Technology and Engineering

Subscribe to Blog via Email

Enter your email address to subscribe to this blog and receive notifications of new posts by email.

Join 5,146 other subscribers

© 2025 Scienmag - Science Magazine

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In
No Result
View All Result
  • HOME
  • SCIENCE NEWS
  • CONTACT US

© 2025 Scienmag - Science Magazine

Discover more from Science

Subscribe now to keep reading and get access to the full archive.

Continue reading