Jaxine Wolfe on Muck Rack

Jaxine Wolfe

As seen in: Nature, Wiley Online Library, Eyes on Earth
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Articles

Spatial and landscape-scale variability in global mangrove soil carbon estimates

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By Lucy Carruthers, Jaxine Wolfe, David Lagomasino, Stuart Hamilton, Lukas Lamb-Wotton
| Nature Verified
Abstract Accurate global mangrove soil carbon estimates are essential, considering the critical role mangroves play in the coastal carbon cycle. However, current global estimates vary widely, ranging from 2.26 to 10.2 Pg C. Large uncertainties in carbon stocks can be challenging for effective policymaking and inaccurately estimate climate mitigation potential. Here, we identify factors driving spatial and landscape variability by comparing five global mangrove soil carbon stock models.
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The Coastal Carbon Library and Atlas: Open source soil data and tools supporting blue carbon research and policy

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By James R. Holmquist, David Klinges, Michael Lonneman, Jaxine Wolfe
| Eyes on Earth
Links More information: Publisher Index Page (via DOI) Open Access Version: Publisher Index Page Download citation as: RIS | Dublin Core Publication type Article Publication Subtype Journal Article Title The Coastal Carbon Library and Atlas: Open source soil data and tools supporting blue carbon research and policy Series title Global Change Biology DOI 10.1111/gcb.17098 Volume 30 Issue 1 Year Published 2024 Language English Publisher Wiley Contributing office(s) Woods Hole Coastal and Marine...
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The Coastal Carbon Library and Atlas: Open source soil data and tools supporting blue carbon research and policy

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By James R. Holmquist, David Klinges, Michael Lonneman, Jaxine Wolfe
| Wiley Online Library Verified
1 INTRODUCTION Globally, wetland soils are estimated to contain 500–680 Petagrams of carbon (Poulter et al., 2021), equivalent to 60%–82% of all carbon present in the atmosphere (Ciais et al., 2014). Coastal wetlands such as tidal marshes, tidal freshwater forests, referred to throughout as swamps, mangroves, and seagrasses are known to sequester carbon on decadal to millennial time scales (Chmura et al., 2003; Howard et al., 2017; Mcleod et al., 2011; Ouyang & Lee, 2014).
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