4.7 Article

Meta-analysis of carbon stocks and biodiversity outcomes across Brazilian restored biomes

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SCIENCE OF THE TOTAL ENVIRONMENT
卷 906, 期 -, 页码 -

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ELSEVIER
DOI: 10.1016/j.scitotenv.2023.167558

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Restoration; Carbon; Soil; Biodiversity; Brazil

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Ecosystem restoration strategies vary in techniques and ecological contexts. Success in restoring plants, animals, and soils varies, as well as across ecological indicators. Assisted natural regeneration has higher success compared to other strategies, but restoring converted and degraded areas poses challenges.
Ecosystem restoration strategies vary widely in the techniques applied and ecological contexts. We conducted a meta-analysis to evaluate how restoration success varies across socio-ecological contexts, taxonomic groups and biomes. Restoration success is quantified as the percentage of each ecological metric value attained in the restoration site compared to the reference systems. We show that restoration success is different for plants, animals, and soils and across ecological indicators. Abundance of individuals is easier to restore than carbon stocks, which are easier than species diversity. However, abundance may be a poor indicator of ecosystem recovery because there is no unidirectional trend over time, and abundance often fails to distinguish restored from degraded areas. We also found that carbon stocks in the soil and in the vegetation are restored at analogous paces, but the recovery of soil carbon stocks is less variable than plant stocks across sites. Our results demonstrate that different restoration techniques are effective in recovering diversity and carbon stocks, but assisted natural regeneration showed a slightly higher success compared to other strategies. However, there is a considerable difficulty in restoring converted and degraded areas to achieve conditions similar to the original ecosystems. It is critical and timely to investigate benefits and effectiveness of ecosystem restoration techniques to biodiversity and carbon recovery different ecosystem types to improve the restoration effectiveness.

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