General

Belize National Forest Monitoring System 2001-2020

Background

Belize’s diverse ecosystems, land tenure systems, and land-use dynamics require a robust and flexible National Forest Monitoring System (NFMS). Early efforts focused on establishing permanent forest inventory plots in the late 1990s to address data gaps in forest structure and carbon dynamics. Over time, Belize has expanded its forest monitoring framework to integrate both ground-based and remote sensing approaches, ensuring transparency, consistency, and national ownership of forest data systems.

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Framework for National Forest Monitoring System

Background

Open access copy available

National forest monitoring system assessment tool – Quick guidance

Background

Open access copy available

User-Driven Land Cover Change Prediction Map Tool for Land Conservation Planning

Background

Effective conservation planning requires forward-looking tools that anticipate land cover change, rather than relying solely on historical analysis. Rapid urbanization and land-use change threaten ecosystems and biodiversity, particularly in regions experiencing development pressure. Traditional models often lack accessibility for nontechnical users, limiting their application in real-world decision-making. Integrating machine learning with user-friendly platforms can enhance stakeholder engagement and improve conservation outcomes.

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Integrating satellite-based forest disturbance alerts improves detection timeliness and confidence

Background

Satellite-based forest monitoring systems are essential for detecting deforestation and supporting climate change mitigation efforts. Multiple alert systems exist, including Global Land Analysis and Discovery (GLAD)-Landsat, GLAD-Sentinel-2, and RADD, each with distinct capabilities and limitations related to sensor type and environmental conditions. Optical systems struggle under cloud cover, while radar systems may miss certain disturbance signals. This creates uncertainty for users and highlights the need for integrated monitoring approaches.

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Near real-time monitoring of tropical forest disturbance by fusion of Landsat, Sentinel-2, and Sentinel-1 data

Background

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Afforestation and Reforestation Have Varying Biodiversity Impacts Across and Within Biomes

Background

Afforestation and reforestation (AR) are widely promoted as nature-based solutions (NbS) for carbon dioxide removal and climate mitigation. Global initiatives aim to expand forest cover significantly to meet climate targets. However, AR can produce unintended biodiversity impacts, particularly when implemented in ecosystems such as grasslands or savannas, where native species are not adapted to forest conditions. The ecological outcomes of AR vary across biomes and species, highlighting the need for spatially explicit, biodiversity-sensitive planning frameworks.

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Enhancing Above-Ground Biomass Estimation in Agroforestry Systems: A Scalable Deep Learning Approach Using Sentinel-2 Data

Background

Open access copy available

The rate of global sea level rise doubled during the past three decades

Background

Tracking global mean sea level (GMSL) is important for both global climate monitoring and informing coastal communities’ adaptation strategies. Previous methods of tracking GMSL calculate the average rate of GMSL rise to be 3.3 mm/year based on satellite data over 30 years. However, studies since 2017 have identified a significant acceleration in GMSL rise. Thus, it is important to ensure that current GMSL rate estimates are accurate to inform both local and GMSL rise adaptation strategies. 

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Life cycle impacts of forest management and wood utilization on carbon mitigation: knowns and unknowns

Background

Forests currently remove 2-3 GtC yr⁻¹ from the atmosphere, while global wood harvest exceeds 3-4 billion m³ yr⁻¹, creating complex interactions between forest carbon stocks, harvested wood products, and the substitution of wood for more emission-intensive materials. Lifecycle assessment (LCA) is widely used to evaluate these interactions, but differing system boundaries, baselines, and treatment of carbon pools can lead to very different conclusions about mitigation benefits. Clarifying where evidence is robust and where major uncertainties remain is essential for designing coherent forest-climate policy.

Open access copy available
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