17 research outputs found
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An estimate of natural volatile organic compound emissions from vegetation since the last glacial maximum
The flux of volatile organic chemicals from natural vegetation influences various atmospheric properties including oxidation state of the troposphere via the hydroxyl radical (OH), photochemical haze production and the concentration of greenhouse gases (CH4, H2O, CO). Because the Volatile Organic Compound (VOC) flux in the present-day world varies markedly with both vegetation cover and with climate, changes in the emission of VOCs may have damped or amplified past climate changes. Here we conduct a preliminary study on possible changes in VOC emission resulting from broad scale vegetation and climate change since the Last Glacial Maximum (LGM). During the general period of the LGM (~25-17,000 years before present {BP}), global forest cover was considerably less than in the present potential situation. The change in vegetation would have resulted in a ~30% reduction in VOC emission at 643 Tg y-1 relative to the present potential vegetation (912.9 Tg y-1). Uncertainty in global vegetation cover during the LGM bounds the VOC estimate by ±15%. In contrast, during the warmer early-to-mid Holocene (8000 and 5000 BP), with greater forest extent and less desert than during the late Holocene (0 BP), emission rates of VOCs seem likely to have been higher than at present. Further modifications in VOC emission may have been mediated by a reduction in mean tropical lowland temperatures (by around 5-6°C) decreasing the LGM VOC emission estimate by 38% relative to the warmer LGM scenario. Increased VOC emissions due to forest expansion and increased tropical temperatures since the LGM may have served as a significant driver of climate change over the last 15 ka y through the influence of VOC oxidation; this can impact tropospheric radiative balance through reductions in the concentration of OH, increasing the concentration of CH4. The error limits on past VOC emission estimates are large, given the uncertainties of present-day VOC emission rates, paleoecosystem distribution, tropical paleoclimatic conditions, and physiological assumptions regarding controls over VOC emission. Nevertheless, the potential significance of changes in natural VOC emission over the last 20 ka and their influence on climate are an important unknown that should at least be borne in mind as a limit on the understanding of past atmospheric conditions. Elucidation of the role of VOCs in climate change through paleoclimatic general circulation model simulations may improve understanding of past and future changes in climate. (C) 2000 Elsevier Science Ltd
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Modelling changes in VOC emission in response to climate change in the continental United States
The alteration of climate is driven not only by anthropogenic activities, but also by biosphere processes that change in conjunction with climate. Emission of volatile organic compounds (VOCs) from vegetation may be particularly sensitive to changes in climate and may play an important role in climate forcing through their influence on the atmospheric oxidative balance, greenhouse gas concentration, and the formation of aerosols. Using the VEMAP vegetation database and associated vegetation responses to climate change, this study examined the independent and combined effects of simulated changes in temperature, CO2 concentration, and vegetation distribution on annual emissions of isoprene, monoterpenes, and other reactive VOCs (ORVOCs) from potential vegetation of the continental United States. Temperature effects were modelled according to the direct influence of temperature on enzymatic isoprene production and the vapour pressure of monoterpenes and ORVOCs. The effect of elevated CO2 concentration was modelled according to increases in foliar biomass per unit of emitting surface area. The effects of vegetation distribution reflects simulated changes in species spatial distribution and areal coverage by 21 different vegetation classes. Simulated climate warming associated with a doubled atmospheric CO2 concentration enhanced total modelled VOC emission by 81.8% (isoprene +82.1%, monoterpenes +81.6%, ORVOC +81.1%), whereas a simulated doubled CO2 alone enhanced total modelled VOC emission by only +11.8% (isoprene +13.7%, monoterpenes +4.1%, ORVOC +11.7%). A simulated redistribution of vegetation in response to altered temperatures and precipitation patterns caused total modelled VOC emission to decline by 10.4% (isoprene -11.7%, monoterpenes -18.6%, ORVOC 0.0%) driven by a decline in area covered by vegetation classes emitting VOCs at high rates. Thus, the positive effect of leaf-level adjustments to elevated CO2 (i.e. increases in foliar biomass) is balanced by the negative effect of ecosystem-level adjustments to climate (i.e. decreases in areal coverage of species emitting VOC at high rates)
Scaling from Stand to Landscape of Climate Change Mitigation by Afforestation and Forest Management: a Modeling Approach
There is a gap between the increased scientific understanding of carbon pools and fluxes at individual trees/stand and that of forested landscape with complex structures (i.e. variety of species, age classes, site characteristic and management practices). The question about how results generated from a simulated physiologically distinct individual(s)/stands grown at a particular location (scale) can be extrapolated (scaling) across a diverse population in time and space with diverse environments, has been troubling scientists for many years. Scale and scaling present three problems in common: (a) spatial heterogeneity, (b) non-linearity in response and (c) disturbance regimes. Scale, in particular, presents other three problems: (d) threshold scale for processes, (e) dominant processes with scales and (f) emerging properties of the system. Scaling presents problems with (g) feedbacks between plants and environment and (h) plant interactions. The present study proposes a modeling framework linking a process-based model SECRETS - to overcome some of the scale and scaling problems (a, b, c, d and g) - to a C accounting model GORCAM - to integrate the effects of C stock in wood products and from fossil fuel substitution. The capabilities of the modeling framework are tested against three theoretical complex forested landscapes that combine some of the five following scenarios: existing multifunctional forest under (1) actual and (2) changing environmental conditions, and afforestation of an agricultural area with (3) a new multifunctional forest or with (4) a short rotation coppice (poplar) or with (5) an agricultural crop (miscanthus) for bioenergy production. Forest reserves calculations are included for completeness of the landscape C balance and as reference. Results, on the one hand, suggest that the framework is able to simulate C sequestration and stock in ecosystem pools, wood products and fossil fuel substitution of the scenarios under actual environmental conditions. However, comparison of results under changing environmental conditions, against specific plant literature suggest SECRETS formulation must be improved with recent development in photosynthesis, stomatal conductance and N balances. On the other hand, results also suggest that under actual environmental conditions, the optimum landscape scenario to sequester C and avoid fossil emissions to the atmosphere is composed by existing multifunctional forest, reserves and afforestation with short rotation coppice for bioenergy production. © 2007 Springer Science+Business Media B.V