Integrating plant–soil interactions into global carbon cycle models

By N. Ostle, Pete Smith, R. Fisher, F. Ian Woodward, Joshua B. Fisher, Joanne U Smith, D. Galbraith, P. Levy, Patrick Meir, N. McNamara and 1 more. 2009

279 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Plant Science, Soil Science

View Paper: https://www.semanticscholar.org/paper/a12b3abe061486aa20423b35994f4e4bd7bb24e2

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Global and Planetary Change

In Plant Science

In Soil Science

Citations in the corpus

Plant functional type classifications in tropical dry forests in Costa Rica: leaf habit versus taxonomic approaches (2010, background): “evergreen, deciduous, etc) may be sufficient for placing species into distinct groups and most DGVMs employ such an approach (Ostle et al. 2009).”
Direct and indirect effects of climate change on soil microbial and soil microbial‐plant interactions: What lies ahead? (2015, background): “…understanding how soil microbe-microbe and soil microbe-plant interactions respond to climate change is a research priority that will shed light on important ecosystem functions such as soil carbon storage and net primary productivity (Ostle et al. 2009, Berg et al. 2010, Fischer et al. 2014).”
Dominant bryophyte control over high‐latitude soil temperature fluctuations predicted by heat transfer traits, field moisture regime and laws of thermal insulation (2013, unknown): “Our results suggest that in global vegetation models of carbon and nutrient cycling (Ostle et al. 2009), the cold region bryophyte mats can be modelled as top organic soil layers with possibly distinct albedo, but the thermal properties as determined in this study and depending solely on water avail”
Expanding the role of reactive transport models in critical zone processes (2017, background): “currently conceptualized and modeled as pools of different decomposition rates and turnover times (Ostle et al., 2009; Thornton et al., 2009).”
Plant–soil feedbacks: the past, the present and future challenges (2013, background): “webs and the biogeochemical cycles at local and, potentially, global scales (Chapin et al. 2009; Ostle et al. 2009).”
Rapid transfer of photosynthetic carbon through the plant-soil system in differently managed species-rich grasslands (2011, unknown): “In general, our understanding of the short-term transfer of C between plants and soil biota remains limited, although it is widely recognized that this interaction plays a key role in the C cycle and soil C sequestration (Ostle et al., 2009b; Bardgett et al., 2009; Paterson et al., 2009).”
Rhizosphere engineering: Enhancing sustainable plant ecosystem productivity (2017, unknown): “It is clear that both these climate change-induced and plantmediated effects on soil properties and soil biota will have major impacts on carbon 14 cycling, uptake of methane and nitrous oxide, and climate in terrestrial ecosystems (Bardgett, 2011; Ostle et al., 2009).”
Soil biodiversity and carbon cycling: a review and synthesis of studies examining diversity–function relationships (2011, background): “However, despite the role of soil organisms in decomposing organic matter, their community structure and diversity is rarely included explicitly in models of C cycling (Smith et al., 1998; Fang et al., 2005; Ostle et al., 2009).”
Reconciling the optimal and empirical approaches to modelling stomatal conductance (2011, unknown): “…al., 1997; Pitman, 2003), whereas dynamic vegetation models are our major tool for predicting climate impacts on biospheric carbon cycles (e.g. Scholze et al., 2006; Sitch et al., 2008), hydrological cycles (e.g. Gedney et al., 2006; Piao et al., 2007) and nutrient cycles (e.g. Ostle et al., 2009).”
How to measure, report and verify soil carbon change to realize the potential of soil carbon sequestration for atmospheric greenhouse gas removal (2019, methodology): “A wide range of different models show this structure, either as independent SOM model or as part of an eco‐ system model, dynamic vegetation model or a general circulation model (Campbell & Paustian, 2015; Ostle et al., 2009; Parton et al., 2015).”
Soil food web properties explain ecosystem services across European land use systems (2013, background): “Moreover, 269 explicitly incorporating soil food web properties a nd their response to land use and 270 climate change (17) in Dynamic Global Vegetation Mo dels (DGVM’s) might improve 271 predictions of climate change impacts on terrestria l ecosystem functions and their 272 feedbacks to climate cha”