"The past five decades have witnessed a rapid growth of computer models for simulating ecosystem functions and dynamics. This has been fueled by the availability of remote sensing data, computation capability, and cross-disciplinary sciences. These models contain many sub-modules for simulating different processes and forcing mechanisms, albeit it has become challenging to truly understand the details due to their complexity. Most ecosystem models, fortunately, are rooted in a few core biophysical foundations, such as widely recognized Farquhar's model, Ball-Berry-Leuning-Medlyn family models, Penman-Monteith model, Priestley-Taylor Model, Machaelis-Menten kinetics, and others. After an introduction of biophysical essentials, four chapters present the core algorithms and their behaviors in modeling ecosystem production, respiration, evapotranspiration, and global warming potentials"--

The past five decades have witnessed a rapid growth of computer models for simulating ecosystem functions and dynamics. This has been fueled by the availability of remote sensing data, computation capability, and cross-disciplinary knowledge. These models contain many submodules for simulating different processes and forcing mechanisms, albeit it has become challenging to truly understand the details due to their complexity. Most ecosystem models, fortunately, are rooted in a few core biophysical foundations, such as the widely recognized Farquhar model, Ball-Berry-Leuning and Medlyn family models, Penman-Monteith equation, Priestley-Taylor model, and Michaelis-Menten kinetics. This text includes tools such as spreadsheet (or Python codes) templates for modeling exercises with different input parameters as online materials, which include datasets, parameter estimation, and real-world applications. Users can also apply their own datasets. The materials included in this volume serve as effective tools for users to understand model behaviors and uses with specified conditions.

Quantitative models are crucial to almost every area of ecosystem science. They provide a logical structure that guides and informs empirical observations of ecosystem processes. They play a particularly crucial role in synthesizing and integrating our understanding of the immense diversity of ecosystem structure and function. Increasingly, models are being called on to predict the effects of human actions on natural ecosystems. Despite the widespread use of models, there exists intense debate within the field over a wide range of practical and philosophical issues pertaining to quantitative modeling. This book--which grew out of a gathering of leading experts at the ninth Cary Conference--explores those issues. The book opens with an overview of the status and role of modeling in ecosystem science, including perspectives on the long-running debate over the appropriate level of complexity in models. This is followed by eight chapters that address the critical issue of evaluating ecosystem models, including methods of addressing uncertainty. Next come several case studies of the role of models in environmental policy and management. A section on the future of modeling in ecosystem science focuses on increasing the use of modeling in undergraduate education and the modeling skills of professionals within the field. The benefits and limitations of predictive (versus observational) models are also considered in detail. Written by stellar contributors, this book grants access to the state of the art and science of ecosystem modeling.

Analytical models of plants. Exteme climate and plant productivity. Water transport and environmental control of diffusion. Theoretical models of animals. Observation of animal body temperatures. Energy-transfer studies of animals.

Ecological modelling has developed rapidly in recent decades, with the focus primarily on the restoration of lakes and wetlands. Ecological Modelling and Engineering in Lakes and Wetlands presents the progress being made in modelling for a wealth of applications. It covers the older biogeochemical models still in use today, structurally dynamic models, 3D models, biophysical models, entire watershed models, and ecotoxicological models, as well as the expansion of modeling to the Arctic and Antarctic climate-zones. The book also addresses modelling the effect of climate change, including the development of ecological models for addressing storm water pond issues, which are increasingly important in urban regions where more concentrated rainfalls are a consequence of climate change. The ecological engineering topics covered in the book also emphasize the advancements being made in applying ecological engineering regimes for better environmental management of lakes and wetlands. Examines recent progress towards a better understanding of these two important ecosystems Presents new results and approaches that can be used to develop better models Discusses how to increase the synergistic effect between ecosystems engineering and modelling

The Guidelines on Biophysical Modelling for Ecosystem Accounting provide an overview on how diverse models and tools to estimate the biophysical aspects of ecosystems can be applied to estimate the extent and condition of ecosystems and their service and facilitate the compilation of ecosystem accounts based on the System of Environmental-Economic Accounting - Ecosystem Accounting (SEEA EA).

Systems Analysis and Simulation in Ecology, Volume III, and its companion, Volume IV, grew out of a symposium, Modeling and Analysis of Ecosystems, held at the University of Georgia, 1-3 March 1973. The purposes of the meeting were to (i) review the status of ecosystem modeling, simulation, and analysis; (ii) provide a forum for interaction between U.S. International Biological Program (IBP) Biome modeling programs and selected non-IBP investigations involving systems approaches to ecosystem analysis; and (iii) identify and promote dialogue on key issues in macrosystem modeling. The volume is organized into two parts. Part I treats ecosystem modeling in the U.S. IBP. The introductory chapter is followed by five chapters describing grassland, deciduous forest, desert, tundra, and coniferous forest biome modeling. The concluding chapter is one of critique and evaluation. Part II is devoted mainly to freshwater ecosystems, grading into the estuarine system in the last chapter. The five chapters of this section encompass a simple thermal ecosystem, small woodland streams, a reservoir, one of the Great Lakes, a lake reclaimed from eutrophication, and a major estuary under stress of human impact.