Donald Schoolmaster, Ph.D. (Former Employee)
Science and Products
Filter Total Items: 32
Do the rich get richer? Varying effects of tree species identity and diversity on the richness of understory taxa Do the rich get richer? Varying effects of tree species identity and diversity on the richness of understory taxa
Understory herbs and soil invertebrates play key roles in soil formation and nutrient cycling in forests. Studies suggest that diversity in the canopy and in the understory are positively associated, but these studies often confound the effects of tree species diversity with those of tree species identity and abiotic conditions. We combined extensive field sampling with structural...
Authors
Juilette Champagne, C. E. Timothy Paine, Donald R. Schoolmaster, Robert Stejskal, Daniel Volarik, Jan Šebesta, Filip Trnka, Tomas Koutecky, Petr Svarc, Martin Svatek, Andy Hector, Radim Matula
Scaling relationships among drivers of aquatic respiration from the smallest to the largest freshwater ecosystems Scaling relationships among drivers of aquatic respiration from the smallest to the largest freshwater ecosystems
To address how various environmental parameters control or constrain planktonic respiration (PR), we used geometric scaling relationships and established biological scaling laws to derive quantitative predictions for the relationships among key drivers of PR. We then used empirical measurements of PR and environmental (soluble reactive phosphate [SRP], carbon [DOC], chlorophyll a [Chl-a)...
Authors
Ed K Hall, Donald R. Schoolmaster, A.M Amado, Edward G. Stets, J.T. Lennon, L. Domaine, J.B. Cotner
Structural equation modeling: Building and evaluating causal models Structural equation modeling: Building and evaluating causal models
Scientists frequently wish to study hypotheses about causal relationships, rather than just statistical associations. This chapter addresses the question of how scientists might approach this ambitious task. Here we describe structural equation modeling (SEM), a general modeling framework for the study of causal hypotheses. Our goals are to (a) concisely describe the methodology, (b)...
Authors
James B. Grace, Samuel M. Scheiner, Donald R. Schoolmaster
Connecting the dots: a collaborative USGS-NPS effort to expand the utility of monitoring data Connecting the dots: a collaborative USGS-NPS effort to expand the utility of monitoring data
The Natural Resource Challenge (National Park Service 1999) was a call to action. It constituted a mandate for monitoring based on the twin premises that (1) natural resources in national parks require active management and stewardship if we are to protect them from gradual degradation, and (2) we cannot protect what we do not understand. The intent of the challenge was embodied in its
Authors
James B. Grace, Donald R. Schoolmaster, E. William Schweiger, Brian R. Mitchell, Kathryn Miller, Glenn R. Guntenspergen
A causal examination of the effects of confounding factors on multimetric indices A causal examination of the effects of confounding factors on multimetric indices
The development of multimetric indices (MMIs) as a means of providing integrative measures of ecosystem condition is becoming widespread. An increasingly recognized problem for the interpretability of MMIs is controlling for the potentially confounding influences of environmental covariates. Most common approaches to handling covariates are based on simple notions of statistical control...
Authors
Donald R. Schoolmaster, James B. Grace, E. William Schweiger, Brian R. Mitchell, Glenn R. Guntenspergen
A general theory of multimetric indices and their properties A general theory of multimetric indices and their properties
1. Stewardship of biological and ecological resources requires the ability to make integrative assessments of ecological integrity. One of the emerging methods for making such integrative assessments is multimetric indices (MMIs). These indices synthesize data, often from multiple levels of biological organization, with the goal of deriving a single index that reflects the overall...
Authors
Donald R. Schoolmaster, James B. Grace, E. William Schweiger
An algorithmic and information-theoretic approach to multimetric index construction An algorithmic and information-theoretic approach to multimetric index construction
The use of multimetric indices (MMIs), such as the widely used index of biological integrity (IBI), to measure, track, summarize and infer the overall impact of human disturbance on biological communities has been steadily growing in recent years. Initially, MMIs were developed for aquatic communities using pre-selected biological metrics as indicators of system integrity. As interest in...
Authors
Donald R. Schoolmaster, James B. Grace, E. William Schweiger, Glenn R. Guntenspergen, Brian R. Mitchell, Kathryn M. Miller, Amanda M. Little
Guidelines for a graph-theoretic implementation of structural equation modeling Guidelines for a graph-theoretic implementation of structural equation modeling
Structural equation modeling (SEM) is increasingly being chosen by researchers as a framework for gaining scientific insights from the quantitative analyses of data. New ideas and methods emerging from the study of causality, influences from the field of graphical modeling, and advances in statistics are expanding the rigor, capability, and even purpose of SEM. Guidelines for...
Authors
James B. Grace, Donald R. Schoolmaster, Glenn R. Guntenspergen, Amanda M. Little, Brian R. Mitchell, Kathryn M. Miller, E. William Schweiger
Science and Products
Filter Total Items: 32
Do the rich get richer? Varying effects of tree species identity and diversity on the richness of understory taxa Do the rich get richer? Varying effects of tree species identity and diversity on the richness of understory taxa
Understory herbs and soil invertebrates play key roles in soil formation and nutrient cycling in forests. Studies suggest that diversity in the canopy and in the understory are positively associated, but these studies often confound the effects of tree species diversity with those of tree species identity and abiotic conditions. We combined extensive field sampling with structural...
Authors
Juilette Champagne, C. E. Timothy Paine, Donald R. Schoolmaster, Robert Stejskal, Daniel Volarik, Jan Šebesta, Filip Trnka, Tomas Koutecky, Petr Svarc, Martin Svatek, Andy Hector, Radim Matula
Scaling relationships among drivers of aquatic respiration from the smallest to the largest freshwater ecosystems Scaling relationships among drivers of aquatic respiration from the smallest to the largest freshwater ecosystems
To address how various environmental parameters control or constrain planktonic respiration (PR), we used geometric scaling relationships and established biological scaling laws to derive quantitative predictions for the relationships among key drivers of PR. We then used empirical measurements of PR and environmental (soluble reactive phosphate [SRP], carbon [DOC], chlorophyll a [Chl-a)...
Authors
Ed K Hall, Donald R. Schoolmaster, A.M Amado, Edward G. Stets, J.T. Lennon, L. Domaine, J.B. Cotner
Structural equation modeling: Building and evaluating causal models Structural equation modeling: Building and evaluating causal models
Scientists frequently wish to study hypotheses about causal relationships, rather than just statistical associations. This chapter addresses the question of how scientists might approach this ambitious task. Here we describe structural equation modeling (SEM), a general modeling framework for the study of causal hypotheses. Our goals are to (a) concisely describe the methodology, (b)...
Authors
James B. Grace, Samuel M. Scheiner, Donald R. Schoolmaster
Connecting the dots: a collaborative USGS-NPS effort to expand the utility of monitoring data Connecting the dots: a collaborative USGS-NPS effort to expand the utility of monitoring data
The Natural Resource Challenge (National Park Service 1999) was a call to action. It constituted a mandate for monitoring based on the twin premises that (1) natural resources in national parks require active management and stewardship if we are to protect them from gradual degradation, and (2) we cannot protect what we do not understand. The intent of the challenge was embodied in its
Authors
James B. Grace, Donald R. Schoolmaster, E. William Schweiger, Brian R. Mitchell, Kathryn Miller, Glenn R. Guntenspergen
A causal examination of the effects of confounding factors on multimetric indices A causal examination of the effects of confounding factors on multimetric indices
The development of multimetric indices (MMIs) as a means of providing integrative measures of ecosystem condition is becoming widespread. An increasingly recognized problem for the interpretability of MMIs is controlling for the potentially confounding influences of environmental covariates. Most common approaches to handling covariates are based on simple notions of statistical control...
Authors
Donald R. Schoolmaster, James B. Grace, E. William Schweiger, Brian R. Mitchell, Glenn R. Guntenspergen
A general theory of multimetric indices and their properties A general theory of multimetric indices and their properties
1. Stewardship of biological and ecological resources requires the ability to make integrative assessments of ecological integrity. One of the emerging methods for making such integrative assessments is multimetric indices (MMIs). These indices synthesize data, often from multiple levels of biological organization, with the goal of deriving a single index that reflects the overall...
Authors
Donald R. Schoolmaster, James B. Grace, E. William Schweiger
An algorithmic and information-theoretic approach to multimetric index construction An algorithmic and information-theoretic approach to multimetric index construction
The use of multimetric indices (MMIs), such as the widely used index of biological integrity (IBI), to measure, track, summarize and infer the overall impact of human disturbance on biological communities has been steadily growing in recent years. Initially, MMIs were developed for aquatic communities using pre-selected biological metrics as indicators of system integrity. As interest in...
Authors
Donald R. Schoolmaster, James B. Grace, E. William Schweiger, Glenn R. Guntenspergen, Brian R. Mitchell, Kathryn M. Miller, Amanda M. Little
Guidelines for a graph-theoretic implementation of structural equation modeling Guidelines for a graph-theoretic implementation of structural equation modeling
Structural equation modeling (SEM) is increasingly being chosen by researchers as a framework for gaining scientific insights from the quantitative analyses of data. New ideas and methods emerging from the study of causality, influences from the field of graphical modeling, and advances in statistics are expanding the rigor, capability, and even purpose of SEM. Guidelines for...
Authors
James B. Grace, Donald R. Schoolmaster, Glenn R. Guntenspergen, Amanda M. Little, Brian R. Mitchell, Kathryn M. Miller, E. William Schweiger