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Biodiversity loss reduces global terrestrial carbon storage

AbstractNatural ecosystems store large amounts of carbon globally, as organisms absorb carbon from the atmosphere to build large, long-lasting, or slow-decaying structures such as tree bark or root systems. An ecosystem’s carbon sequestration potential is tightly linked to its biological diversity. Yet when considering future projections, many carbon sequestration models fail to account for the role biodiversity plays in carbon storage. Here, we assess the consequences of plant biodiversity loss for carbon storage under multiple climate and land-use change scenarios. We link a macroecological model projecting changes in vascular plant richness under different scenarios with empirical data on relationships between biodiversity and biomass. We find that biodiversity declines from climate and land use change could lead to a global loss of between7.44-103.14PgC (global sustainability scenario) and10.87-145.95PgC (fossil-fueled development scenario). This indicates a self-reinforcing feedback loop, where higher levels of climate change lead to greater biodiversity loss, which in turn leads to greater carbon emissions and ultimately more climate change. Conversely, biodiversity conservation and restoration can help achieve climate change mitigation goals.
- Sapienza University of Rome Italy
- University of Tokyo Japan
- University of Montreal Canada
- Goddard Institute for Space Studies United States
- Japan Atomic Energy Agency Japan
Carbon Sequestration, Conservation of Natural Resources, Science, Climate Change, Q, Biodiversity loss; carbon storage; scenarios, Biodiversity, Plants, Article, Carbon, Biomass, Ecosystem
Carbon Sequestration, Conservation of Natural Resources, Science, Climate Change, Q, Biodiversity loss; carbon storage; scenarios, Biodiversity, Plants, Article, Carbon, Biomass, Ecosystem
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).36 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
