Modelling terrestrial biogenic isoprene fluxes and their potential impact on global chemical species using a coupled LSM–CTM model

Wang, KY; Shallcross, Dudley E.

doi:10.1016/s1352-2310(99)00525-7

Cited by 85 publications

(77 citation statements)

References 30 publications

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“…Simulation period E I E M Land cover Vegetation physiological activity a Algorithm (Tg C a −1 ) 1 Guenther et al (1995Guenther et al ( ) 1990 503 127 57 ecosystem types based GVI from AVHRR (1990), NPP from G95 on Olson (1992) realtionships with T and precipitation 2 Wang and Shallcross (2000) (Niinemets et al, 1999) 15 Shim et al (2005 9/1996-8/1997 566 Prescribed, 73 vegetation types Calculated as in Guenther et al (1995) G95 g with modifications as in Wang et al (1998) products, and reduce ozone levels that way (Derwent, 1995;Atkinson and Arey, 2003). O 3 acts as a potent greenhouse gas in the troposphere with an anthropogenic radiative forcing of near equal magnitude to that of methane (Forster et al, 2007).…”

Section: Sourcementioning

confidence: 99%

“…Broadly, global isoprene (and monoterpene) simulations may be assembled into five groups: I) In the first, vegetation cover is prescribed from satellite remote sensing information. Changes in vegetation phenology and physiological activity, as reflected in leaf area index (LAI) and net primary productivity (NPP), influence emissions via variation in the amount of emitting leaf biomass, which is calculated from the remote sensing input (Guenther et al, 1995;Wang and Shallcross, 2000;Adams et al, 2001;Tao and Jain 2005;Wiedinmyer et al, 2006). The vegetation's capacity to emit isoprene or monoterpenes is specified at standard environmental conditions on a leaf basis, and is assigned to a number of representative plant functional types (PFT, e.g., tropical broadleaf tree, boreal needleleaf tree) or ecosystem types (e.g., tropical rain forest).…”

Section: Sourcementioning

confidence: 99%

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Why are estimates of global terrestrial isoprene emissions so similar (and why is this not so for monoterpenes)?

et al. 2008

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Abstract. Emissions of biogenic volatile organic compounds (BVOC) are a chief uncertainty in calculating the burdens of important atmospheric compounds like tropospheric ozone or secondary organic aerosol, reflecting either imperfect chemical oxidation mechanisms or unreliable emission estimates, or both. To provide a starting point for a more systematic discussion we review here global isoprene and monoterpene emission estimates to-date. We note a surprisingly small variation in the predictions of global isoprene emission rate that is in stark contrast with our lack of process understanding and the small number of observations for model parameterisation and evaluation. Most of the models are based on similar emission algorithms, using fixed values for the emission capacity of various plant functional types. In some cases, these values are very similar but differ substantially in other models. The similarities with regard to the global isoprene emission rate would suggest that the dominant parameters driving the ultimate global estimate, and thus the dominant determinant of model sensitivity, are the specific emission algorithm and isoprene emission capacity. But the models also differ broadly with regard to their representation of net primary productivity, method of biome coverage determination and climate data. Contrary to isoprene, monoterpene estimates show significantly larger model-tomodel variation although variation in terms of leaf algorithm, emission capacities, the way of model upscaling, vegetation cover or climatology used in terpene models are comparable to those used for isoprene. From our summary of published studies there appears to be no evidence that the terrestrial modelling community has been any more successful in Correspondence to: A. Arneth (almut.arneth@nateko.lu.se) "resolving unknowns" in the mechanisms that control global isoprene emissions, compared to global monoterpene emissions. Rather, the proliferation of common parameterization schemes within a large variety of model platforms lends the illusion of convergence towards a common estimate of global isoprene emissions. This convergence might be used to provide optimism that the community has reached the "relief phase", the phase when sufficient process understanding and data for evaluation allows models' projections to converge, when applying a recently proposed concept. We argue that there is no basis for this apparent relief phase. Rather, we urge modellers to be bolder in their analysis, and to draw attention to the fact that terrestrial emissions, particularly in the area of biome-specific emission capacities, are unknown rather than uncertain.

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Section: Sourcementioning

confidence: 99%

Section: Sourcementioning

confidence: 99%

Why are estimates of global terrestrial isoprene emissions so similar (and why is this not so for monoterpenes)?

et al. 2008

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“…Given sufficient NO x , this oxidation of BVOCs can also produce ozone. However, in clean, NO x -poor conditions, these BVOCs can react with and therefore consume ozone (Wang and Shallcross, 2000). The emission of BVOC depends strongly on the type and density of vegetation (Guenther et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

The impact of historical land use change from 1850 to 2000 on secondary particulate matter and ozone

Heald

Geddes

2016

Atmos. Chem. Phys.

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Abstract. Anthropogenic land use change (LUC) since preindustrial (1850) has altered the vegetation distribution and density around the world. We use a global model (GEOSChem) to assess the attendant changes in surface air quality and the direct radiative forcing (DRF). We focus our analysis on secondary particulate matter and tropospheric ozone formation. The general trend of expansion of managed ecosystems (croplands and pasturelands) at the expense of natural ecosystems has led to an 11 % decline in global mean biogenic volatile organic compound emissions. Concomitant growth in agricultural activity has more than doubled ammonia emissions and increased emissions of nitrogen oxides from soils by more than 50 %. Conversion to croplands has also led to a widespread increase in ozone dry deposition velocity. Together these changes in biosphere-atmosphere exchange have led to a 14 % global mean increase in biogenic secondary organic aerosol (BSOA) surface concentrations, a doubling of surface aerosol nitrate concentrations, and local changes in surface ozone of up to 8.5 ppb. We assess a global mean LUC-DRF of +0.017, −0.071, and −0.01 W m −2 for BSOA, nitrate, and tropospheric ozone, respectively. We conclude that the DRF and the perturbations in surface air quality associated with LUC (and the associated changes in agricultural emissions) are substantial and should be considered alongside changes in anthropogenic emissions and climate feedbacks in chemistry-climate studies.

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“…they use the temperature values in the meteorological data fields used to drive the model, along with the extent of illumination, to calculate the resident emission fluxes (e.g. Wang and Shallcross, 2000;Im et al, 2011). Given that climatic extremes are likely to increase in frequency in the coming decades this online approach has the potential to capture a more realistic variability in isoprene emissions, assuming the algorithms are able to perform well over a typical range in temperatures and soil moisture regimes.…”

Section: Introductionmentioning

confidence: 99%

Quantifying the uncertainty in simulating global tropospheric composition due to the variability in global emission estimates of Biogenic Volatile Organic Compounds

2013

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Abstract. The emission of organic compounds from biogenic processes acts as an important source of trace gases in remote regions away from urban conurbations, and is likely to become more important in future decades due to the further mitigation of anthropogenic emissions that affect air quality and climate forcing. In this study we examine the contribution of biogenic volatile organic compounds (BVOCs) towards global tropospheric composition using the global 3-D chemistry transport model TM5 and the recently developed modified CB05 chemical mechanism. By comparing regional BVOC emission estimates we show that biogenic processes act as dominant sources for many regions and exhibit a large variability in the annually and seasonally integrated emission fluxes. By performing sensitivity studies we find that the contribution of BVOC species containing between 1 to 3 carbon atoms has an impact on the resident mixing ratios of tropospheric O3 and CO, accounting for ~2.5% and ~10.8% of the simulated global distribution, respectively. This is approximately a third of the cumulative effect introduced by isoprene and the monoterpenes. By examining an ensemble of 3-D global chemistry transport simulations which adopt different global BVOC emission inventories we determine the associated uncertainty introduced towards simulating the composition of the troposphere for the year 2000. By comparing the model ensemble values against a composite of atmospheric measurements we show that the effects on tropospheric O3 are limited to the lower troposphere (with an uncertainty between −2% to 10%), whereas that for tropospheric CO extends up to the upper troposphere (with an uncertainty of between 10 to 45%). Comparing the mixing ratios for low molecular weight alkenes in TM5 against surface measurements taken in Europe implies that the cumulative emission estimates are too low, regardless of the chosen BVOC inventory. This variability in the global distribution of CO due to BVOC emissions introduces an associated uncertainty in the tropospheric CO burden of 11.4%, which impacts strongly on the oxidative capacity of the troposphere, introducing an uncertainty in the atmospheric lifetime of the greenhouse gas CH4 of ~3.3%. This study thus identifies the necessity of placing further constraints on non-CH4 global biogenic emission estimates in large-scale global atmospheric chemistry models.

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Modelling terrestrial biogenic isoprene fluxes and their potential impact on global chemical species using a coupled LSM–CTM model

Cited by 85 publications

References 30 publications

Why are estimates of global terrestrial isoprene emissions so similar (and why is this not so for monoterpenes)?

Why are estimates of global terrestrial isoprene emissions so similar (and why is this not so for monoterpenes)?

The impact of historical land use change from 1850 to 2000 on secondary particulate matter and ozone

Quantifying the uncertainty in simulating global tropospheric composition due to the variability in global emission estimates of Biogenic Volatile Organic Compounds

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