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Going underground: root traits as drivers of ecosystem processes

pmid: 25459399
Ecologists are increasingly adopting trait-based approaches to understand how community change influences ecosystem processes. However, most of this research has focussed on aboveground plant traits, whereas it is becoming clear that root traits are important drivers of many ecosystem processes, such as carbon (C) and nutrient cycling, and the formation and structural stability of soil. Here, we synthesise emerging evidence that illustrates how root traits impact ecosystem processes, and propose a pathway to unravel the complex roles of root traits in driving ecosystem processes and their response to global change. Finally, we identify research challenges and novel technologies to address them.
- Wageningen University & Research Netherlands
- University of Salford United Kingdom
water transport, Nitrogen, Climate Change, Population Dynamics, Adaptation, Biological, Plant Roots, nutrient-acquisition, Mycorrhizae, plant functional traits, roots, soil, carbon cycling, nutrient cycling, soil structure, global change, species richness, Ecosystem, elevated co2, plant functional traits, Biodiversity, carbon sequestration, economics spectrum, Carbon, climate-change, soil microbial communities, biogeochemical significance
water transport, Nitrogen, Climate Change, Population Dynamics, Adaptation, Biological, Plant Roots, nutrient-acquisition, Mycorrhizae, plant functional traits, roots, soil, carbon cycling, nutrient cycling, soil structure, global change, species richness, Ecosystem, elevated co2, plant functional traits, Biodiversity, carbon sequestration, economics spectrum, Carbon, climate-change, soil microbial communities, biogeochemical significance
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).982 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 0.1% 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 1% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 0.1%
