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Article

Ecological Change in Minnesota’s Carbon Sequestration and Oxygen Release Service: A Multidimensional Assessment Using Multi-Temporal Remote Sensing Data

Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
Remote Sens. 2026, 18(3), 391; https://doi.org/10.3390/rs18030391
Submission received: 17 December 2025 / Revised: 15 January 2026 / Accepted: 17 January 2026 / Published: 23 January 2026

Abstract

Carbon sequestration and oxygen release (CSOR) are core regulating functions of terrestrial ecosystems. However, regional assessments often fail to (i) separate scale-driven high supply from per-area efficiency, (ii) detect structural instability and degradation risk from long-term trajectories, and (iii) provide evidence that is comparable across units for management prioritization. Using Minnesota, USA, we integrated satellite-derived net primary productivity (NPP; 1998–2021) with a Quantity–Intensity–Structure (Q–I–S) framework to quantify CSOR, detect trends and change points (Mann–Kendall and Pettitt tests), map spatial clustering and degradation risk (Exploratory Spatial Data Analysis, ESDA), and attribute natural and human drivers (principal component regression and GeoDetector). CSOR increased overall from 1998 to 2021, with a marked shift around 2013 from a slight, variable decline to sustained recovery. Spatially, CSOR showed a persistent north–south gradient, with higher and improving services in northern Minnesota and lower, more degraded services in the south; persistent degradation was concentrated in a central high-risk belt. The Q–I–S framework also revealed inconsistencies between total supply and condition, identifying high-supply yet degrading areas and low-supply areas with recovery potential that are not evident from the totals alone. Climate variables primarily controlled CSOR quantity and structure, whereas human factors more strongly influenced intensity; the interactions of the two further shaped observed patterns. These results provide an interpretable and transferable basis for diagnosing degradation and prioritizing restoration under long-term environmental change.
Keywords: Quantity–Intensity–Structure (Q–I–S) framework; carbon sequestration and oxygen release (CSOR) services; dimensional assessment; ecological change; multi-resource remote sensing Quantity–Intensity–Structure (Q–I–S) framework; carbon sequestration and oxygen release (CSOR) services; dimensional assessment; ecological change; multi-resource remote sensing

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MDPI and ACS Style

Shi, D. Ecological Change in Minnesota’s Carbon Sequestration and Oxygen Release Service: A Multidimensional Assessment Using Multi-Temporal Remote Sensing Data. Remote Sens. 2026, 18, 391. https://doi.org/10.3390/rs18030391

AMA Style

Shi D. Ecological Change in Minnesota’s Carbon Sequestration and Oxygen Release Service: A Multidimensional Assessment Using Multi-Temporal Remote Sensing Data. Remote Sensing. 2026; 18(3):391. https://doi.org/10.3390/rs18030391

Chicago/Turabian Style

Shi, Donghui. 2026. "Ecological Change in Minnesota’s Carbon Sequestration and Oxygen Release Service: A Multidimensional Assessment Using Multi-Temporal Remote Sensing Data" Remote Sensing 18, no. 3: 391. https://doi.org/10.3390/rs18030391

APA Style

Shi, D. (2026). Ecological Change in Minnesota’s Carbon Sequestration and Oxygen Release Service: A Multidimensional Assessment Using Multi-Temporal Remote Sensing Data. Remote Sensing, 18(3), 391. https://doi.org/10.3390/rs18030391

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