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Dive into the research topics where Allan Spessa is active.

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Featured researches published by Allan Spessa.


Global Biogeochemical Cycles | 2015

Sensitivity of global terrestrial carbon cycle dynamics to variability in satellite‐observed burned area

Benjamin Poulter; P. Cadule; Audrey Cheiney; Philippe Ciais; E. L. Hodson; Philippe Peylin; Stephen Plummer; Allan Spessa; Sassan Saatchi; Chao Yue; Niklaus E. Zimmermann

Fire plays an important role in terrestrial ecosystems by regulating biogeochemistry, biogeography, and energy budgets, yet despite the importance of fire as an integral ecosystem process, significant advances remain to improve its prognostic representation in carbon cycle models. To recommend and to help prioritize model improvements, this study investigates the sensitivity of a coupled global biogeography and biogeochemistry model, LPJ, to observed burned area measured by three independent satellite-derived products, GFED v3.1, L3JRC, and GlobCarbon. Model variables are compared with benchmarks that include pantropical aboveground biomass, global tree cover, and CO2 and CO trace gas concentrations. Depending on prescribed burned area product, global aboveground carbon stocks varied by 300 Pg C, and woody cover ranged from 50 to 73 Mkm2. Tree cover and biomass were both reduced linearly with increasing burned area, i.e., at regional scales, a 10% reduction in tree cover per 1000 km2, and 0.04-to-0.40 Mg C reduction per 1000 km2. In boreal regions, satellite burned area improved simulated tree cover and biomass distributions, but in savanna regions, model-data correlations decreased. Global net biome production was relatively insensitive to burned area, and the long-term land carbon sink was robust, ~2.5 Pg C yr−1, suggesting that feedbacks from ecosystem respiration compensated for reductions in fuel consumption via fire. CO2 transport provided further evidence that heterotrophic respiration compensated any emission reductions in the absence of fire, with minor differences in modeled CO2 fluxes among burned area products. CO was a more sensitive indicator for evaluating fire emissions, with MODIS-GFED burned area producing CO concentrations largely in agreement with independent observations in high latitudes. This study illustrates how ensembles of burned area data sets can be used to diagnose model structures and parameters for further improvement and also highlights the importance in considering uncertainties and variability in observed burned area data products for model applications.


Eos, Transactions American Geophysical Union | 2003

Confronting a burning question: The Role of fire on Earth

Allan Spessa; Sp Harrison; I. Colin Prentice; Wolfgang Cramer; Natalie M. Mahowald

Fire is an important process at the global scale, with far-reaching effects on vegetation dynamics, biogeochemical cycling, and atmospheric chemistry. At least 8 Gt/yr of dry biomass is burned globally, equivalent to the release of over 4 Gt of carbon, or about 70% of anthropogenic fossil fuel emissions per year. Burning of tropical forests contributes about 2.4 Gt C per year. Fires of this magnitude can lead to substantial changes in ecosystem functioning and vegetation distribution, which in turn affect vegetations susceptibility to fire. Fires are also a major source of several chemical species—including CO, N2O, NOx, and CH4—which play key roles in atmospheric chemistry and of carbonaceous aerosol particles, which affect the formation and physical properties of clouds.


International Journal of Wildland Fire | 2016

The effect of fire on tree-grass coexistence in savannas: a simulation study

Veiko Lehsten; Almut Arneth; Allan Spessa; Kirsten Thonicke; Aristides Moustakas

The savanna biome has the greatest burned area globally. Whereas the global distribution of most biomes can be predicted successfully from climatic variables, this is not so for savannas. Attempts to dynamically model the distribution of savannas, including a realistically varying tree : grass ratio are fraught with difficulties. In a simulation study using the dynamic vegetation model LPJ-GUESS we investigate the effect of fire on the tree : grass ratios as well as the biome distribution on the African continent. We performed simulations at three spatial scales: locally, at four sites inside Kruger National Park (South Africa); regionally, along a precipitation gradient; and for the African continent. We evaluated the model using results of a fire experiment and found that the model underestimates the effect of fire on tree cover slightly. On a regional scale, high frequencies were able to prevent trees from outcompeting grasses in mesic regions between ~700 and 900 mm mean annual precipitation. Across the African continent, incorporation of fire improved notably the simulated distribution of the savanna biome. Our model results confirm the role of fire in determining savanna distributions, a notion that has been challenged by competing theories of tree–grass coexistence.


Archive | 2012

The earth system feedbacks that matter for contemporary climate

Pierre Friedlingstein; Angela V. Gallego-Sala; Eleanor Blyth; Fiona Hewer; Sonia I. Seneviratne; Allan Spessa; Parvadha Suntharalingam; Marko Scholze

Looking at how feedbacks of earth system (e.g. biological and chemical as well as physical) processes might affect the physical climate.


Biogeosciences | 2010

The influence of vegetation, fire spread and fire behaviour on biomass burning and trace gas emissions: results from a process-based model

K. Thonicke; Allan Spessa; I. C. Prentice; Sandy P. Harrison; L. Dong; C. Carmona-Moreno


Quaternary International | 2005

Tropical snowline changes at the last glacial maximum: A global assessment

Bryan G. Mark; Sandy P. Harrison; Allan Spessa; Mark New; David J.A. Evans; Karin F. Helmens


Geoscientific Model Development | 2013

A model for global biomass burning in preindustrial time: LPJ-LMfire (v1.0)

Mirjam Pfeiffer; Allan Spessa; Jed O. Kaplan


Journal of Vegetation Science | 2004

Relationships between plant traits and climate in the Mediterranean region: A pollen data analysis

Doris Barboni; Sandy P. Harrison; Patrick J. Bartlein; G. Jalut; Mark New; I. C. Prentice; Maria Fernanda Sánchez-Goñi; Allan Spessa; B. Davis; A. C. Stevenson


Global Ecology and Biogeography | 2005

Relationships among fire frequency, rainfall and vegetation patterns in the wet-dry tropics of northern Australia: an analysis based on NOAA-AVHRR data

Allan Spessa; B McBeth; Iain Colin Prentice


Geoscientific Model Development | 2015

Taking off the training wheels: the properties of a dynamic vegetation model without climate envelopes, CLM4.5(ED)

Rosie A. Fisher; S. Muszala; M. Verteinstein; Peter J. Lawrence; Chonggang Xu; Nate G. McDowell; Ryan G. Knox; C. Koven; Jennifer Holm; B. M. Rogers; Allan Spessa; David M. Lawrence; Gordon B. Bonan

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Almut Arneth

Karlsruhe Institute of Technology

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Kirsten Thonicke

Potsdam Institute for Climate Impact Research

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Rosie A. Fisher

National Center for Atmospheric Research

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Chao Yue

Université Paris-Saclay

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Matthew S. Forrest

Wellcome Trust Sanger Institute

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