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Grassland Simulation Model

Grassland Simulation Model
Author: G. S. Innis
Publisher: Springer Science & Business Media
Total Pages: 317
Release: 2012-12-06
Genre: Science
ISBN: 1461299292

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Perspectives on the ELM Model and Modeling Efforts This volume is the major open-literature description of a comprehensive, pioneering ecological modeling effort. The ELM model is one of the major outputs of the United States Grassland Biome study, a contribution to the International Biological Program (IBP). Writing this introduction provides wel come personal opportunity to (i) review briefly the state of the art at the beginning of the ELM modeling effort in 1971, (ii) to discuss some aspects of the ELM model's role in relation to other models and other phases of the Grassland Biome study, and (iii) to summarize the evolution of ELM or its components since 1973. Pre-Program Historical Perspective My first major contacts with ecological simulation modeling were in 1960 when I was studying intraseasonal herbage dynamics and nutrient production on foothill grasslands in southcentral Montana, making year-round measurements of the aboveground live vegetation, the standing dead, and the litter. Limitations in funding and the rockiness of the foothill soils prevented measuring the dynamics of the root biomass, both live and dead. Herbage biomass originates in live shoots from which it could be translocated into live roots or the live shoots could transfer to standing dead or to litter. Standing dead vegetation must end up in the litter and the live roots eventually transfer to dead roots. Obviously, the litter and the dead roots must decay away.


Grassland Dynamics

Grassland Dynamics
Author: J. H. M. Thornley
Publisher: Cabi
Total Pages: 264
Release: 1998
Genre: Computers
ISBN:

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The development of computer simulation models is an important growth area in both pure and applied ecology. The opportunity that mathematical models provide to integrate the components of an ecosystem, results in the ability to make quantitative predictions about the future behavior of that system, or of elements within it. This means that they are powerful tools with wide applications and enormous potential for increasing our understanding of natural systems and our ability to use them in a sustainable way. This book is, almost uniquely, a complete account of one such model, the Hurley Pasture Model, a dynamic, deterministic, mechanistic simulation model for grassland, which has been developed by the author over some 20 years, in collaboration with scientists at several centers. Firstly, the rationale and theoretical elements of this type of model are described. An overview of the Hurley grassland simulator and the derivation and construction of its plant, animal, soil and litter, water, and environment and management components is then given. Next, the model is evaluated by a series of long and short-term dynamic simulations and steady state responses, which demonstrate how predictions can be made about the effects of, for example, climate change or particular regimes of fertilizer application, grazing or cutting. This book will be of great value to grassland agronomists and modellers, crop physiologists and plant ecologists, and to students of ecology as a case study of a plant ecosystem model. It will also be of interest to other ecologists and environmentalists and those in the field of computer modelling and its applications.


Grassland Simulation Model

Grassland Simulation Model
Author: G. S. Innis
Publisher: Springer
Total Pages: 298
Release: 1978-01-18
Genre: Science
ISBN: 9780387902692

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Perspectives on the ELM Model and Modeling Efforts This volume is the major open-literature description of a comprehensive, pioneering ecological modeling effort. The ELM model is one of the major outputs of the United States Grassland Biome study, a contribution to the International Biological Program (IBP). Writing this introduction provides wel come personal opportunity to (i) review briefly the state of the art at the beginning of the ELM modeling effort in 1971, (ii) to discuss some aspects of the ELM model's role in relation to other models and other phases of the Grassland Biome study, and (iii) to summarize the evolution of ELM or its components since 1973. Pre-Program Historical Perspective My first major contacts with ecological simulation modeling were in 1960 when I was studying intraseasonal herbage dynamics and nutrient production on foothill grasslands in southcentral Montana, making year-round measurements of the aboveground live vegetation, the standing dead, and the litter. Limitations in funding and the rockiness of the foothill soils prevented measuring the dynamics of the root biomass, both live and dead. Herbage biomass originates in live shoots from which it could be translocated into live roots or the live shoots could transfer to standing dead or to litter. Standing dead vegetation must end up in the litter and the live roots eventually transfer to dead roots. Obviously, the litter and the dead roots must decay away.


RANGES

RANGES
Author: Bradley J. Gilbert
Publisher:
Total Pages: 130
Release: 1975
Genre: Computer simulation
ISBN:

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Ranges I

Ranges I
Author: George S. Innis
Publisher:
Total Pages:
Release: 1973
Genre: Grassland ecology
ISBN:

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Perspectives in Grassland Ecology

Perspectives in Grassland Ecology
Author: N.R. French
Publisher: Springer Science & Business Media
Total Pages: 215
Release: 2012-12-06
Genre: Science
ISBN: 1461261821

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This volume is a result of the summary and synthesis of data collected in the Grassland Biome Program, which is part of the American contribution to the International Biological Program (IBP). The purpose of this volume is to present a summary of quantitative ecological investigations of North American grass lands and to present a set of broad comparisons of their characteristics and functions as well as the results of some models and experiments that lead to practical considerations of the management of grasslands. Synthesis is a continuing activity in science. Early in the Grassland Biome Program there was a synthesis of literature data on grasslands, edited by R. L. Dix and R. G. Beidleman (1969). Results of the first year of field data collection under this program were synthesized in a volume edited by N. R. French (1971). Development of the large-scale model constructed to depict the processes and the dynamics of state variables in grassland ecosystems was presented by Innis (1978). Soon to appear will be two volumes integrating studies of American grasslands with IBP studies in other grasslands of the world (Coupland, in press) and the application of systems analysis to understanding grassland function and utilization (Breymeyer and Van Dyne, in press). The present volume presents current results and comparisons of field investigations and experimental studies that were conducted under this program.


Landscape Simulation Modeling

Landscape Simulation Modeling
Author: Robert Costanza
Publisher: Springer Science & Business Media
Total Pages: 337
Release: 2006-06-02
Genre: Science
ISBN: 0387215557

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The world consists of many complex systems, ranging from our own bodies to ecosystems to economic systems. Despite their diversity, complex systems have many structural and functional features in common that can be effectively si- lated using powerful, user-friendly software. As a result, virtually anyone can - plore the nature of complex systems and their dynamical behavior under a range of assumptions and conditions. This ability to model dynamic systems is already having a powerful influence on teaching and studying complexity. The books in this series will promote this revolution in “systems thinking” by integrating computational skills of numeracy and techniques of dynamic mod- ing into a variety of disciplines. The unifying theme across the series will be the power and simplicity of the model-building process, and all books are designed to engage the reader in developing their own models for exploration of the dyn- ics of systems that are of interest to them. Modeling Dynamic Systems does not endorse any particular modeling paradigm or software. Rather, the volumes in the series will emphasize simplicity of lea- ing, expressive power, and the speed of execution as priorities that will facilitate deeper system understanding.