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Tree diversity and carbon storage cobenefits in tropical human‐dominated landscapes

AbstractA lack of spatial congruence between carbon storage and biodiversity in intact forests suggests limited cobenefits of carbon‐focused policies for conserving tropical biodiversity. However, whether the same applies in tropical human‐dominated landscapes (HDLs) is unclear. In India's Western Ghats Biodiversity Hotspot, we found that while HDL forests harbor lower tree diversity and aboveground carbon stocks than relatively intact forests, positive diversity–carbon correlations are more prevalent in HDLs. This is because anthropogenic drivers of species loss in HDLs consistently reduce carbon storing biomass volume (lower basal area), and biomass per unit volume (fewer hardwood trees). We further show, using a meta‐analysis spanning multiple regions, that these patterns apply to tropical HDLs more generally. Thus, while complementary strategies are needed for securing the irreplaceable biodiversity and carbon values of intact forests, ubiquitous tropical HDLs might hold greater potential for synergizing biodiversity conservation and climate change mitigation.
- New York University United States
- King’s University United States
- French National Centre for Scientific Research France
- Columbia University, Earth Institute United States
- Florida Southern College United States
Carbon sequestration, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Tropical forests, forest degradation, QH1-199.5, Biodiversity conservation, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, 333, Basal area, Climate change mitigation, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Climate change, Forest degradation, General. Including nature conservation, geographical distribution, Phylogenetics and taxonomy, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, carbon storage, Tree density, Xood density, Western Ghats, Meta-analysis, Carbon storage, basal area, climate change, meta‐analysis, Land use, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, Forests and forestry, biodiversity conservation, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, environment/Ecosystems
Carbon sequestration, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Tropical forests, forest degradation, QH1-199.5, Biodiversity conservation, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, 333, Basal area, Climate change mitigation, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Climate change, Forest degradation, General. Including nature conservation, geographical distribution, Phylogenetics and taxonomy, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, carbon storage, Tree density, Xood density, Western Ghats, Meta-analysis, Carbon storage, basal area, climate change, meta‐analysis, Land use, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, Forests and forestry, biodiversity conservation, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, environment/Ecosystems
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).28 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.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
