The Experts below are selected from a list of 98478 Experts worldwide ranked by ideXlab platform
Laurie L. Richardson - One of the best experts on this subject based on the ideXlab platform.
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remote sensing of algal bloom Dynamicsnew research fuses remote sensing of aquatic Ecosystems with algal accessory pigment analysis
BioScience, 1996Co-Authors: Laurie L. RichardsonAbstract:mhe last decade has seen rapid advances in two technologybased approaches to the study of algal biology: the use of remote sensing, which quantitatively measures light reflected from the surface of the earth, as a tool to study regional-scale aquatic Ecosystem Dynamics, and the refinement of techniques to identify and quantify algal pigments. Although research in remote sensing has been driven by the ongoing development of new sensors, advances in pigment analysis have essentially evolved from continual research in algal population Dynamics, ecology, and physiology. Recent innovative results in both
Leticia Cotrim Da Cunha - One of the best experts on this subject based on the ideXlab platform.
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Ecosystem Dynamics based on plankton functional types for global ocean biogeochemistry models
Global Change Biology, 2005Co-Authors: Corinne Le Quere, Sandy P Harrison, Colin I Prentice, Erik T Buitenhuis, Olivier Aumont, Laurent Bopp, Herve Claustre, Leticia Cotrim Da CunhaAbstract:Ecosystem processes are important determinants of the biogeochemistry of the ocean, and they can be profoundly affected by changes in climate. Ocean models currently express Ecosystem processes through empirically derived parameterizations that tightly link key geochemical tracers to ocean physics. The explicit inclusion of Ecosystem processes in models will permit ecological changes to be taken into account, and will allow us to address several important questions, including the causes of observed glacial-interglacial changes in atmospheric trace gases and aerosols, and how the oceanic uptake of CO2 is likely to change in the future. There is an urgent need to assess our mechanistic understanding of the environmental factors that exert control over marine Ecosystems, and to represent their natural complexity based on theoretical understanding. We present a prototype design for a Dynamic Green Ocean Model (DGOM) based on the identification of (a) key plankton functional types that need to be simulated explicitly to capture important biogeochemical processes in the ocean; (b) key processes controlling the growth and mortality of these functional types and hence their interactions; and (c) sources of information necessary to parameterize each of these processes within a modeling framework. We also develop a strategy for model evaluation, based on simulation of both past and present mean state and variability, and identify potential sources of validation data for each. Finally, we present a DGOM-based strategy for addressing key questions in ocean biogeochemistry. This paper thus presents ongoing work in ocean biogeochemical modeling, which, it is hoped will motivate international collaborations to improve our understanding of the role of the ocean in the climate system.
Brian Harvey - One of the best experts on this subject based on the ideXlab platform.
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Basing silviculture on natural Ecosystem Dynamics: An approach applied to the southern boreal mixedwood forest of Quebec
Forest Ecology and Management, 1997Co-Authors: Yves Bergeron, Brian HarveyAbstract:We present a method in which fundamental knowledge of natural Ecosystem Dynamics of the southern boreal forest may be used as a basis for a new silvicultural approach aimed at maintaining biodiversity and long-term Ecosystem productivity under management. The natural disturbance regime of the southern boreal forest of Quebec is characterized by intense crown fires. Natural forest Dynamics following fire on mesic sites involve a gradual replacement of stands of broadleaf species by mixedwood then softwood stands. This succession is accompanied by a decrease in soil fertility and in Ecosystem productivity. In the absence of fire, spruce budworm outbreaks contribute in regenerating mature, fir-dominated forests and in reintroducing a hardwood component into stands. Current silvicultural practices promote successive rotations of similarly composed stands. Attaining softwood regeneration following harvest of softwood stands often necessitates site preparation, planting and control of competitive species, including economically and ecologically valuable hardwoods. At the landscape level this strategy may contribute to decreasing stand diversity by favouring replacement of mixedwood stands by hardwood or softwood stands. Natural Dynamics indicate that a silvicultural approach favouring species replacement while, at the landscape level preserving a representative proportion of hardwood, mixedwood and softwood stands would be more appropriate. The advantages of such an approach are discussed in comparison with current practices.
Sandy P Harrison - One of the best experts on this subject based on the ideXlab platform.
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Ecosystem Dynamics based on plankton functional types for global ocean biogeochemistry models
Global Change Biology, 2005Co-Authors: Corinne Le Quere, Sandy P Harrison, Colin I Prentice, Erik T Buitenhuis, Olivier Aumont, Laurent Bopp, Herve Claustre, Leticia Cotrim Da CunhaAbstract:Ecosystem processes are important determinants of the biogeochemistry of the ocean, and they can be profoundly affected by changes in climate. Ocean models currently express Ecosystem processes through empirically derived parameterizations that tightly link key geochemical tracers to ocean physics. The explicit inclusion of Ecosystem processes in models will permit ecological changes to be taken into account, and will allow us to address several important questions, including the causes of observed glacial-interglacial changes in atmospheric trace gases and aerosols, and how the oceanic uptake of CO2 is likely to change in the future. There is an urgent need to assess our mechanistic understanding of the environmental factors that exert control over marine Ecosystems, and to represent their natural complexity based on theoretical understanding. We present a prototype design for a Dynamic Green Ocean Model (DGOM) based on the identification of (a) key plankton functional types that need to be simulated explicitly to capture important biogeochemical processes in the ocean; (b) key processes controlling the growth and mortality of these functional types and hence their interactions; and (c) sources of information necessary to parameterize each of these processes within a modeling framework. We also develop a strategy for model evaluation, based on simulation of both past and present mean state and variability, and identify potential sources of validation data for each. Finally, we present a DGOM-based strategy for addressing key questions in ocean biogeochemistry. This paper thus presents ongoing work in ocean biogeochemical modeling, which, it is hoped will motivate international collaborations to improve our understanding of the role of the ocean in the climate system.
Colin I Prentice - One of the best experts on this subject based on the ideXlab platform.
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Ecosystem Dynamics based on plankton functional types for global ocean biogeochemistry models
Global Change Biology, 2005Co-Authors: Corinne Le Quere, Sandy P Harrison, Colin I Prentice, Erik T Buitenhuis, Olivier Aumont, Laurent Bopp, Herve Claustre, Leticia Cotrim Da CunhaAbstract:Ecosystem processes are important determinants of the biogeochemistry of the ocean, and they can be profoundly affected by changes in climate. Ocean models currently express Ecosystem processes through empirically derived parameterizations that tightly link key geochemical tracers to ocean physics. The explicit inclusion of Ecosystem processes in models will permit ecological changes to be taken into account, and will allow us to address several important questions, including the causes of observed glacial-interglacial changes in atmospheric trace gases and aerosols, and how the oceanic uptake of CO2 is likely to change in the future. There is an urgent need to assess our mechanistic understanding of the environmental factors that exert control over marine Ecosystems, and to represent their natural complexity based on theoretical understanding. We present a prototype design for a Dynamic Green Ocean Model (DGOM) based on the identification of (a) key plankton functional types that need to be simulated explicitly to capture important biogeochemical processes in the ocean; (b) key processes controlling the growth and mortality of these functional types and hence their interactions; and (c) sources of information necessary to parameterize each of these processes within a modeling framework. We also develop a strategy for model evaluation, based on simulation of both past and present mean state and variability, and identify potential sources of validation data for each. Finally, we present a DGOM-based strategy for addressing key questions in ocean biogeochemistry. This paper thus presents ongoing work in ocean biogeochemical modeling, which, it is hoped will motivate international collaborations to improve our understanding of the role of the ocean in the climate system.
