Inland Migration Space Requirements for Maintaining Blue Carbon Stocks after Spartina Eradication under Accelerating Sea Level Rise

Abstract China’s nationwide Spartina alterniflora eradication program across 18,000 km of coastline aims to restore native biodiversity, but removing these carbon-rich invasive stands is estimated to release 21.4 Mt CO2. This challenge is compounded by accelerating sea level rise, which threatens the native replacements meant to restore blue carbon functions, and current restoration approaches lack systematic strategies to address both pressures. We coupled species distribution modeling with the Sea Level Affecting Marshes Model (SLAMM) to project the performance of two posteradication restoration strategies─Environmental Suitability (ES, prioritizing habitat preferences) and Optimized Carbon Stock (CS, prioritizing high-carbon species)─under SSP1–2.6 and SSP5–8.5 through 2100, and quantified the minimum inland migration area required to sustain a target carbon stock (2.16 Tg C). Across projections for 2060 and 2100, tidal marshes outside seawalls are projected to lose 23–50% of their area, with carbon stocks declining 12–51% relative to 2021 levels. The CS strategy maintained 6–16% higher carbon stocks than ES. Mainting the target carbon stock required 31–157 km2 of inland migration space, with CS’s advantage over ES in reducing migration requirements narrowing from 37% under SSP1-2.6 (2060) to 4% under SSP5-8.5 (2100). These results show that management strategies lose effectiveness under extreme climate conditions, underscoring the value of early intervention under low-emission scenarios, and offer practical migration-space targets for coastal planning wherever invasive species control intersects with accelerating environmental change.

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Publication Details

Journal
Environmental Science & Technology
Published
2026-10-13
DOI
https://doi.org/10.1021/acs.est.6c10279
Primary Topic
Coastal wetland ecosystem dynamics
Type
article
Field-Weighted Citation Impact
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article

Inland Migration Space Requirements for Maintaining Blue Carbon Stocks after Spartina Eradication under Accelerating Sea Level Rise

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Inland Migration Space Requirements for Maintaining Blue Carbon Stocks after Spartina Eradication under Accelerating Sea Level Rise

Peter Ian Macreadie, Shupu Wu, Wenzhen Zhao, Jingqiu Zhong, Xiuzhen Li, Lv Gong, Shiwei Lin, Lin Su, Yufeng Jiang, Jiangjing Wang, Micheli D. P. Costa, Yang Hu, Xiaolu Yan
article en

Abstract

Abstract China’s nationwide Spartina alterniflora eradication program across 18,000 km of coastline aims to restore native biodiversity, but removing these carbon-rich invasive stands is estimated to release 21.4 Mt CO2. This challenge is compounded by accelerating sea level rise, which threatens the native replacements meant to restore blue carbon functions, and current restoration approaches lack systematic strategies to address both pressures. We coupled species distribution modeling with the Sea Level Affecting Marshes Model (SLAMM) to project the performance of two posteradication restoration strategies─Environmental Suitability (ES, prioritizing habitat preferences) and Optimized Carbon Stock (CS, prioritizing high-carbon species)─under SSP1–2.6 and SSP5–8.5 through 2100, and quantified the minimum inland migration area required to sustain a target carbon stock (2.16 Tg C). Across projections for 2060 and 2100, tidal marshes outside seawalls are projected to lose 23–50% of their area, with carbon stocks declining 12–51% relative to 2021 levels. The CS strategy maintained 6–16% higher carbon stocks than ES. Mainting the target carbon stock required 31–157 km2 of inland migration space, with CS’s advantage over ES in reducing migration requirements narrowing from 37% under SSP1-2.6 (2060) to 4% under SSP5-8.5 (2100). These results show that management strategies lose effectiveness under extreme climate conditions, underscoring the value of early intervention under low-emission scenarios, and offer practical migration-space targets for coastal planning wherever invasive species control intersects with accelerating environmental change.

Environmental Science & Technology
Liaoning Normal University (CN), East China Normal University (CN), Yangzhou University (CN), RMIT University (AU)
Department of Science and Technology of Liaoning Province
Openalex Percentile: Top 16%
Coastal wetland ecosystem dynamics
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