The Ecosystem Pressure-Volume Curve
Binks, O.; Meir, P.; Mencuccini, M.
Show abstract
The ecosystem pressure-volume curve (EPV) is the relationship between vegetation water content and a representative value of water potential applied on a ground-area basis. The EPV attempts to reconcile our detailed and physically rigorous understanding of small-scale field-measureable processes to the spatial scale applicable to ecosystem and climate science. Successfully bridging that gap in scale potentially allows us to use field measurements to interpret remote sensing data, and then remote sensing data to inform our understanding of vegetation-climate interactions. Here we clearly define the idea of the EPV, evaluate the limitations of applying values of water content and water potential to ecosystems on a ground area basis, and discuss practical ways to construct the EPV with existing data. We also present the first EPVs based on data from nine different plots, including tropical rainforest, savanna, temperate forest, and a long-term drought experiment in Amazonian rainforest (Caxiuana, State of Para, Brazil). The initial findings suggest high levels of consistency among sites. In particular, the ratio of water to biomass across ecosystems appears to be constrained to around 1:3. Seven of nine sites had closely converging relative maximum water storage (the proportion of total stored water than can be lost before an ecosystem succumbs to physiological damage) at 9.1% +/-1.8 standard deviation. Relative ecosystem capacitance may increase with site biomass (P = 0.091), but varied little across sites with a mean of 0.068 MPa-1 +/-0.029 standard deviation. These first estimates suggest that the EPV idea may reveal useful trends across ecosystems, potentially paving the way to increasing the ecophysiological significance of remote sensing data, and enabling an alternative method for modelling long-term ecosystem-climate feedbacks based on equilibrium thermodynamics.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Contribution of deep soil layers to the transpiration of a temperate deciduous forest: quantification and implications for the modelling of productivity 95%
- An individual, mechanistic and dynamical model to simulate urban tree growth and ecosystem services supply under future scenarios 93%
- Linking functional traits with tree growth and forest productivity in Quercus ilex forests along a climatic gradient 93%
Similar papers in this journal
- An eco-physiological model of forest photosynthesis and transpiration under combined nitrogen and water limitation 95%
- Beyond Proxies: Towards ecophysiological indicators of drought resistance for forest management 94%
- Water levels primarily drive variation in photosynthesis and nutrient use of scrub Red Mangroves in the southeastern Florida Everglades 94%
Similar papers in this journal
- Precipitation seasonality and soil texture interact to shape dryland recovery from severe disturbance 94%
- Earlier snowmelt increases the strength of the carbon sink in montane meadows unequally across the growing season 94%
- Temperature is a dominant driver of distinct annual seasonality of leaf litter production of equatorial tropical rain forests 94%
Similar papers in this journal
- Metabolism is a major driver of hydrogen isotope fractionation recorded in tree-ring glucose of Pinus nigra 95%
- Revisiting the carbon isotope discrimination and water use efficiency relation: the influence of mesophyll conductance 95%
- Whole-plant optimality predicts changes in leaf nitrogen under variable CO2 and nutrient availability 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.