Global climate forcing driven by altered BVOC fluxes from 1990 to 2010 land cover change in maritime Southeast Asia

Harper, Kandice; Unger, Nadine

doi:10.5194/acp-18-16931-2018

Cited by 16 publications

(10 citation statements)

References 131 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In South East Asia, increasing BVOC emissions from oil palm plantations interplay with increasing NO x emissions resulting from the spread in mechanization, fossil fuel use, and fertilizer application associated with the oil palm industry. The complex interaction between BVOC and NO x finally enhances O 3 levels at local-regional scales (Goldammer et al, 2009;Hewitt et al, 2009;Silva et al, 2016;Harper and Unger, 2018), with even transboundary effects (i.e. downwind regions) (Warwick et al, 2013).…”

Section: Deforestation-afforestationmentioning

confidence: 99%

See 1 more Smart Citation

Reviews and syntheses: influences of landscape structure and land uses on local to regional climate and air quality

et al. 2019

View full text Add to dashboard Cite

Abstract. The atmosphere and the land surface interact in multiple ways, for instance through the radiative-energy balance, the water cycle or the emission and deposition of natural and anthropogenic compounds. By modifying the land surface, land use and land cover changes (LULCCs) and land management changes (LMCs) alter the physical, chemical, and biological processes of the biosphere and therefore all land–atmosphere interactions, from local to global scales. Through socio-economic drivers and regulatory policies adopted at different levels (local, regional, national, or supranational), human activities strongly interfere in the land–atmosphere interactions, and those activities lead to a patchwork of natural, semi-natural, agricultural, urban, and semi-urban areas. In this context, urban and peri-urban areas, which have a high population density, are of particular attention since land transformation can lead to important environmental impacts and affect the health and life of millions of people. The objectives of this review are to synthesize the existing experimental and modelling works that investigate physical, chemical, and/or biogeochemical interactions between land surfaces and the atmosphere, therefore potentially impacting local/regional climate and air quality, mainly in urban or peri-urban landscapes at regional and local scales. The conclusions we draw from our synthesis are the following. (1) The adequate temporal and spatial description of land use and land management practices (e.g. areas concerned, type of crops, whether or not they are irrigated, quantity of fertilizers used and actual seasonality of application) necessary for including the effects of LMC in global and even more in regional climate models is inexistent (or very poor). Not taking into account these characteristics may bias the regional projections used for impact studies. (2) Land–atmosphere interactions are often specific to the case study analysed; therefore, one can hardly propose general solutions or recommendations. (3) Adaptation strategies, proposed after climatic impacts on the targeted resource have been derived, are often biased as they do not account for feedbacks on local/regional climate. (4) There is space for considering atmospheric chemistry, through land–atmosphere interactions, as a factor for land management, helping to maintain air quality and supporting ecosystem functioning. (5) There is a lack of an integrated tool, which includes the many different processes of importance in an operational model, to test different land use or land management scenarios at the scale of a territory.

show abstract

Section: Deforestation-afforestationmentioning

confidence: 99%

“…building size and density, human use, fraction of vegetation) (e.g. Emmanuel and Fernando, 2007;Hart and Sailor, 2009), and rural land use (e.g. forests, crops, bare soil) (Chen et al, 2006).…”

Section: Urbanizationmentioning

confidence: 99%

Reviews and syntheses: influences of landscape structure and land uses on local to regional climate and air quality

et al. 2019

View full text Add to dashboard Cite

show abstract

“…The basis for estimates of CO flux from biogenic sources is a 15-year inversion analysis (Jiang et al, 2017) that used the adjoint of the GEOS-Chem model (Henze et al, 2007) and MOPITT Version 6J multispectral CO observations (Deeter et al, 2014). This approach used latitude bias-corrected MO-PITT data (total CO columns and CO vertical profiles) averaged on the GEOS-Chem 5 • longitude ×4 • latitude grid to constrain model estimates of monthly CO fluxes in each grid cell from three primary source sectors: anthropogenic fossil fuel and biofuel, biomass burning, and oxidation from biogenic NMVOCs.…”

Section: Co Flux Estimationmentioning

confidence: 99%

New constraints on biogenic emissions using satellite-based estimates of carbon monoxide fluxes

Worden¹,

Bloom²,

Worden³

et al. 2019

Atmos. Chem. Phys.

View full text Add to dashboard Cite

Abstract. Biogenic non-methane volatile organic compounds (NMVOCs) emitted from vegetation are a primary source for the chemical production of carbon monoxide (CO) in the atmosphere, and these biogenic emissions account for about 18 % of the global CO burden. Partitioning CO fluxes to different source types in top-down inversion methods is challenging; typically a simple scaling of the posterior flux to prior flux values for fossil fuel, biogenic and biomass burning sources is used. Here we show top-down estimates of biogenic CO fluxes using a Bayesian inference approach, which explicitly accounts for both posterior and a priori CO flux uncertainties. This approach re-partitions CO fluxes following inversion of Measurements Of Pollution In The Troposphere (MOPITT) CO observations with the GEOS-Chem model, a global chemical transport model driven by assimilated meteorology from the NASA Goddard Earth Observing System (GEOS). We compare these results to the prior information for CO used to represent biogenic NMVOCs from GEOS-Chem, which uses the Model of Emissions of Gases and Aerosols from Nature (MEGAN) for biogenic emissions. We evaluate the a posteriori biogenic CO fluxes against top-down estimates of isoprene fluxes using Ozone Monitoring Instrument (OMI) formaldehyde observations. We find similar seasonality and spatial consistency in the posterior CO and top-down isoprene estimates globally. For the African savanna region, both top-down CO and isoprene seasonality vary significantly from the MEGAN a priori inventory. This method for estimating biogenic sources of CO will provide an independent constraint on modeled biogenic emissions and has the potential for diagnosing decadal-scale changes in emissions due to land-use change and climate variability.

show abstract

“…O 3 levels at local-regional scales (Goldammer et al, 2009;Hewitt et al, 2009;Silva et al, 2016;Harper and Unger, 2018), with even transboundary effects (i.e. downwind regions) (Warwick et al, 2013).…”

Section: Deforestation-afforestationmentioning

confidence: 99%

Response to Reviewer 1

Massad¹

2019

Preprint

View full text Add to dashboard Cite

Global climate forcing driven by altered BVOC fluxes from 1990 to 2010 land cover change in maritime Southeast Asia

Cited by 16 publications

References 131 publications

Reviews and syntheses: influences of landscape structure and land uses on local to regional climate and air quality

Reviews and syntheses: influences of landscape structure and land uses on local to regional climate and air quality

New constraints on biogenic emissions using satellite-based estimates of carbon monoxide fluxes

Response to Reviewer 1

Contact Info

Product

Resources

About