Progress and Limitations in Forest Carbon Stock Estimation Using Remote Sensing Technologies: A Comprehensive Review

Forests, Journal Year: 2025, Volume and Issue: 16(3), P. 449 - 449

Published: March 2, 2025

Forests play a key role in carbon sequestration and oxygen production. They significantly contribute to peaking neutrality goals. Accurate estimation of forest stocks is essential for precise understanding the capacity ecosystems. Remote sensing technology, with its wide observational coverage, strong timeliness, low cost, stock research. However, challenges data acquisition processing include variability, signal saturation dense forests, environmental limitations. These factors hinder accurate estimation. This review summarizes current state research on from two aspects, namely remote methods, highlighting both advantages limitations various sources models. It also explores technological innovations cutting-edge field, focusing deep learning techniques, optical vegetation thickness impact forest–climate interactions Finally, discusses including issues related quality, model adaptability, stand complexity, uncertainties process. Based these challenges, paper looks ahead future trends, proposing potential breakthroughs pathways. The aim this study provide theoretical support methodological guidance researchers fields.

Language: Английский

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Analysis of the Spatiotemporal Patterns of Water Conservation in the Yangtze River Ecological Barrier Zone Based on the InVEST Model and SWAT-BiLSTM Model Using Fractal Theory: A Case Study of the Minjiang River Basin

Fractal and Fractional, Journal Year: 2025, Volume and Issue: 9(2), P. 116 - 116

Published: Feb. 13, 2025

The Yangtze River Basin serves as a vital ecological barrier in China, with its water conservation function playing critical role maintaining regional balance and resource security. This study takes the Minjiang (MRB) case study, employing fractal theory combination InVEST model SWAT-BiLSTM to conduct an in-depth analysis of spatiotemporal patterns conservation. research aims uncover relationship between dynamics watershed capacity ecosystem service functions, providing scientific basis for protection management. Firstly, is introduced quantify complexity spatial heterogeneity natural factors such terrain, vegetation, precipitation Basin. Using model, evaluates functions area, identifying key zones their variations. Additionally, employed simulate hydrological processes basin, particularly impact nonlinear meteorological variables on responses, aiming enhance accuracy reliability predictions. At annual scale, it achieved NSE R2 values 0.85 during calibration 0.90 validation. seasonal these increased 0.91 0.93, at monthly reached 0.94 0.93. showed low errors (RMSE, RSR, RB). findings indicate significant differences Basin, upper middle mountainous regions serving primary areas, whereas downstream plains exhibit relatively lower capacity. Precipitation, terrain slope, vegetation cover are identified main affecting changes having notable regulatory effect Fractal dimension reveals distinct structure which partially explains geographical distribution characteristics functions. Furthermore, simulation results based show increasingly climate change human activities frequent occurrence extreme events, particular, disrupts posing greater challenges Model validation demonstrates that SWAT integrated BiLSTM achieves high capturing complex processes, thereby better supporting decision-makers formulating management strategies.

Language: Английский

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Estimation of blue carbon stock in the Liaohe Estuary wetland based on soil thickness and multi-scenario modeling

Ecological Indicators, Journal Year: 2025, Volume and Issue: 171, P. 113201 - 113201

Published: Feb. 1, 2025

Language: Английский

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Calculation and Analysis of the Distribution Characteristics of Groundwater Resources in the Middle Reaches of the Mudanjiang River Basin in China Based on SWAT Model and InVEST Model

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(5), P. 2671 - 2671

Published: March 2, 2025

The Integrated Valuation of Ecosystem Services and Trade-Offs (InVEST) model with the distributed hydrological Soil Water Assessment Tool (SWAT) were implemented. SWAT quantifies visualizes water production groundwater reserves in Mudanjiang River Basin, employing runoff modulus method to calculate recharge basin. This study aims assess model’s applicability cold basins subsequently analyze distribution characteristics, reserves, exploitable volume. It serves as a reference for judicious allocation resources preservation local aquatic ecosystem. indicates following: (1) Utilizing monthly data from Mudan hydrologic station, simulation calibration conducted, yielding determination coefficient (R2) 0.75 Nash–Sutcliffe efficiency (NS) 0.77, thereby satisfying fundamental scientific research criteria. yield predicted by InVEST aligns closely bulletin region. (2) module indicate that average annual during period was 6.725 billion m3, an depth 148 mm. In 2018, characterized ample supply, output at its peak, 242 2014, recorded merely 16 (3) Throughout period, flow 4.2 whereas reserve 24.13 (108 m3·a−1). 2013, maximum 38.42 m3·a−1), while minimum 2014 2.36 suggesting region predominantly experiencing sustainable exploitation. (4) mean is 0.28 L/(s·km2), peak 15.4 m3·a−1) 2013 lowest just 3.2 2011.

Language: Английский

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An Improved Method for Estimating Blue Carbon Storage in Coastal Salt Marsh Wetlands: Considering the Heterogeneity of Soil Thickness

Land, Journal Year: 2025, Volume and Issue: 14(4), P. 776 - 776

Published: April 4, 2025

Coastal wetlands are vital ecosystems at the land–sea interface. They intercept land-based pollutants, regulate microclimates, and mediate carbon cycles. play a significant role in enhancing sequestration capacity maintaining ecological structure functioning. This study proposes an improved method for estimating blue storage coastal salt marsh wetlands, considering soil thickness, by utilizing enhanced Soil Land Inference Model (SoLIM) to estimate thickness with restricted number of sample points. The wetland index is integrated into Integrated Valuation Ecosystem Services Trade-offs (InVEST) estimation model, ultimately enabling visualization Liaohe Estuary wetland. Results indicate following: (1) studied area’s shows spatial distribution pattern that becomes progressively thinner from north south. more vegetation areas minor tidal flat areas, 52% region having between 40 60 cm. (2) In 2023, stock area estimated 389.85 × 106 t, high-value concentrated northern natural landscapes, low-value southern zone, characterized terrain human influence. coupled thickness–blue model provides methodological support refining wetlands. It also offers technical formulating policies on restoration, compensation, protection, management

Language: Английский

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Water quality evaluation in Liaoning Province large reservoirs: a new method integrating random forest-TOPSIS and Monte Carlo simulation

Applied Water Science, Journal Year: 2025, Volume and Issue: 15(5)

Published: April 7, 2025

Language: Английский

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Runoff simulation and analysis of water source in the high-altitude and cold region of the Shaliu River Basin

Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 59, P. 102294 - 102294

Published: April 19, 2025

Language: Английский

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Holistic uncertainty quantification and attribution for real-time seasonal streamflow predictions: Insights from input, parameter and initial condition

Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 59, P. 102427 - 102427

Published: May 2, 2025

Language: Английский

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Best management practices for reducing nutrient loads under diverge hydrological conditions: A case study in an agricultural watershed in Southwest China

Ecological Indicators, Journal Year: 2025, Volume and Issue: 176, P. 113631 - 113631

Published: June 2, 2025

Language: Английский

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