Terrestrial Biosphere Atmosphere Fluxes Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Terrestrial Biosphere Atmosphere Fluxes book. This book definitely worth reading, it is an incredibly well-written.
Fluxes of trace gases, water and energy - the 'breathing of the biosphere' - are controlled by a large number of interacting physical, chemical, biological and ecological processes. In this interdisciplinary book, the authors provide the tools to understand and quantitatively analyse fluxes of energy, organic compounds such as terpenes, and trace gases including carbon dioxide, water vapour and methane. It first introduces the fundamental principles affecting the supply and demand for trace gas exchange at the leaf and soil scales: thermodynamics, diffusion, turbulence and physiology. It then builds on these principles to model the exchange of water, carbon dioxide, terpenes and stable isotopes at the ecosystem scale. Detailed mathematical derivations of commonly used relations in biosphere-atmosphere interactions are provided for reference in appendices. An accessible introduction for graduate students and a key resource for researchers in related fields, such as atmospheric science, hydrology, meteorology, climate science, biogeochemistry and ecosystem ecology.
"Fluxes of trace gases, water and energy between the terrestrial biosphere and the atmosphere govern the state and fate of these two coupled systems. This 'breathing of the biosphere' is controlled by a large number of interacting physical, chemical, biological and ecological processes. In this integrated and interdisciplinary book, the authors provide the tools to understand and quantitatively analyse fluxes of energy, trace gases such as carbon dioxide, water vapour, methane, and organic compounds, such as terpenes"--
This book provides a synthesis of the past decade of research into global changes that occurred in the earth system in the past. Focus is achieved by concentrating on those changes in the Earth's past environment that best inform our evaluation of current and future global changes and their consequences for human populations. The book stands as a ten year milestone in the operation of the Past Global Changes (PAGES) Project of the International Geosphere-Biosphere Programme (IGBP). It seeks to provide a quantitative understanding of the Earth’s environment in the geologically recent past and to define the envelope of natural environmental variability against which anthropogenic impacts on the Earth System may be assessed. A set of color overhead transparencies based on the figures in the book is available free on the PAGES website (www.pages-igbp.org) for use in teaching and lecturing.
Carbon and Nitrogen in the Terrestrial Environment is a comprehensive, interdisciplinary description of C and N fluxes between the atmosphere and the terrestrial biosphere; issues related to C and N management in different ecosystems and their implications for the environment and global climate change; and the approaches to mitigate emission of greenhouse gases. Drawing upon the most up-to-date books, journals, bulletins, reports, symposia proceedings and internet sources documenting interrelationships between different aspects of C and N cycling in the terrestrial environment, Carbon and Nitrogen in the Terrestrial Environment fills the gap left by most of the currently available books on C and N cycling. They either deal with a single element of an ecosystem, or are related to one or a few selected aspects like soil organic matter (SOM) and agricultural or forest management, emission of greenhouse gases, global climate change or modeling of SOM dynamics.
The Climate Change 2007 volumes of the Fourth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC) provide the most comprehensive and balanced assessment of climate change available. This IPCC Working Group I report brings us completely up-to-date on the full range of scientific aspects of climate change. Written by the world's leading experts, the IPCC volumes will again prove to be invaluable for researchers, students, and policymakers, and will form the standard reference works for policy decisions for government and industry worldwide.
The North American terrestrial biosphere acts as a strong sink of atmospheric CO2 and therefore plays a key role in the global carbon cycle. The atmospheric inversion approach is used to quantify the magnitude and distribution land-atmosphere carbon exchange, and requires accurate atmospheric transport and surface flux prior. We evaluate the relative sensitivity of simulated atmospheric total, biological, and fossil fuel CO2 mole fractions in the atmospheric boundary layer and integrated column over North America to changes in transport model and surface fluxes. We run three versions of a mesoscale model that incorporate different physics parameterization schemes and identical surface fluxes; we run the same mesoscale transport model with two different surface fluxes. All simulations are conducted for North America during 2008. Observed CO2 mole fractions reveal that seasonal amplitude ranges from 13 ppm in the West to over 34 ppm in the Midcontinent, and the models tested match these amplitudes to within a few ppm. Biology drives both the magnitude of the seasonal amplitude and regional differences in amplitude. Fossil fuels exhibit a seasonal cycle that is smaller than biological CO2, but not trivial. During the growing season, variations in surface fluxes yield mean differences in regionally, seasonally averaged atmospheric boundary layer total CO2 mole fractions that are larger for all regions than those resulting from varied transport model. The relative contributions of biological and fossil fuel to total mean difference CO2 show distinct quantitative patterns for varied flux and transport, and can provide information for attributing model-model differences in total CO2. Seasonal amplitude is much greater in the ABL than in the integrated column. Simulated total biological, and fossil fuel integrated column XCO2 are about 1/10th the magnitude of their signal in the atmospheric boundary layer. Flux and transport differences are also found in the integrated column at approximately 1/10th their atmospheric boundary layer values. While transport error is a significant problem for identifying terrestrial carbon fluxes, it is not an overwhelming one. Our work indicates that there is potential for remotely sensed integrated column XCO2 to distinguish between the flux signal and transport errors. Understanding transport error deserves more study, motivating current and future observational campaigns and modeling.While reducing transport uncertainty in atmospheric inversions has received considerable attention in recent years, quantification of carbon surface flux uncertainty remains a challenge. Model-observation studies can help identify model temporal and spatial limitations. To this end, we organize 166 CO2 flux tower measurement sites across North America by region, climate, and vegetation type into 23 groupings. The data span from 2000 through 2014 and are compared to output from eight atmospheric inverse estimates and 17 terrestrial biosphere models. We generate a mean year of observed and simulated net ecosystem exchange for each regional vegetation group and for each model. The NOAA CarbonTracker inverse estimates, major carbon flux inverse products, almost always underestimate amplitude of the seasonal cycle (biased positive relative to observations) and have a small spread. Furthermore, the inversions dont typically improve upon the prior with respect to the observations. Groups characterized by large seasonal amplitudes are not well represented by the models. For these groups, drawdown is underestimated. The terrestrial biosphere models often encompass the observations, but may have too much model-model variability. No one model is best everywhere. Model performance varies by vegetation and location. Certain biomes are well represented, certain biomes are not, and some models are reliably better than others. In general, evergreen forests in the north and east are better represented by the models than grasslands or crops in the midcontinent and southwest. Our large-scale, regional approach to model-observation analyses provides insight into the vegetation- and location-dependent performance of many inverse and terrestrial biosphere model estimates of land-atmosphere carbon exchange. This can help inform selection and application of surface flux priors in future inversions.