Modeling, Goalsetting, and Frameworks

Tropical dry forest land use/land cover change detection using semi-supervised deep learning algorithms and remote sensing

Background

Open access copy available

Remote sensing of drylands: An overview

Background

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Asian dryland ecohealth progress for land degradation neutrality

Background

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A systematic review on remote sensing of dryland ecological integrity: Improvement in the spatiotemporal monitoring of vegetation is required

Background

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Storm Surge Reduction by Mangroves

Background

Flooding and wave energy from storm surges can damage infrastructure and harm inhabitants of coastal communities. Climate change and sea level rise have the potential to increase or intensify storm surges, which necessitate investment in coastal defenses and disaster risk reduction. Mangroves can reduce the effects of storm surges through attenuating waves and wind, making mangroves an important form of nature-based protection for coastal communities.

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Reduction of Wind and Swell Waves by Mangroves

Background

Coastal ecosystems can mitigate the damage from extreme weather events like tropical storms and hurricanes. With human populations increasing in coastal areas, policymakers and stakeholders are interested in coastal ecosystems, like mangrove forests, as a nature-based form of coastal defense and resilience. This report aims to examine the potential for mangroves to reduce wind and swell waves in order to inform decision makers about the potential for mangroves to decrease the risks faced by coastal communities.

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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

Forest carbon in Amazonia: the unrecognized contribution of indigenous territories and protected natural areas

Background

Amazonia stores an estimated 80–120 Pg of aboveground carbon, and changes in this stock have global climate implications. Indigenous territories (ITs) and protected natural areas (PNAs) together cover roughly one-third to one-half of the Amazon region, yet their specific contribution to maintaining forest carbon has often been overlooked in regional mitigation discussions. Quantifying their role is important for designing REDD+, climate finance, and land rights policies that reflect on-the-ground conservation performance.

Open access copy available

Towards a modular multi ecosystem monitoring, reporting and verification (MRV) framework for soil organic carbon stock change assessment

Background

Soils store roughly 1,500–2,400 petagrams (Pg) of organic carbon globally, more than the combined carbon in the atmosphere and vegetation, making soil organic carbon (SOC) a critical component of climate mitigation and land degradation neutrality targets. Many initiatives assume that relatively small annual increases in SOC across large areas could offset gigatonnes (Gt) of CO2, but these claims require robust, comparable monitoring systems. Current MRV approaches often focus on single sectors and use heterogeneous methods, limiting their usefulness for cross-ecosystem accounting and results-based finance.

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Overestimated natural biological nitrogen fixation translates to an exaggerated CO2 fertilization effect

Background

Biological nitrogen fixation (BNF) supplies a substantial fraction of reactive nitrogen of ecosystems, typically estimated in the tens to over 100 Tg N yr⁻¹ globally, thus constraining how strongly plants can respond to rising CO2. Many Earth system models (ESMs) parameterize BNF such that nitrogen does not strongly limit CO2 fertilization, potentially inflating modelled land carbon sinks and underestimating future atmospheric CO2 concentrations. Quantifying this bias is important for realistic carbon budget and mitigation assessments.

Open access copy available
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