Author: Gerth Edison Hendrickson
Publisher:
ISBN:
Category : Recreation
Languages : en
Pages : 98
Book Description
Hydrology and Recreation on the Cold-water Rivers of Michigan's Southern Peninsula
Hydrology and Recreation on the Cold-water Rivers of Michigan's Upper Peninsula
Author: Gerth Edison Hendrickson
Publisher:
ISBN:
Category : Recreation
Languages : en
Pages : 52
Book Description
Publisher:
ISBN:
Category : Recreation
Languages : en
Pages : 52
Book Description
Water Information Series Report
An Annotated Bibliography on River Recreation
Author: Dorothy H. Anderson
Publisher:
ISBN:
Category : Rivers
Languages : en
Pages : 68
Book Description
Publisher:
ISBN:
Category : Rivers
Languages : en
Pages : 68
Book Description
Research Publications of the H.J. Andrews Experimental Forest, Cascade Range, Oregon, 1948 to 1986
Author:
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 754
Book Description
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 754
Book Description
Models that Predict Standing Crop of Stream Fish from Habitat Variables
Author: Kurt D. Fausch
Publisher:
ISBN:
Category : Fish communities
Languages : en
Pages : 60
Book Description
We reviewed mathematical models that predict standing crop of stream fish (number or biomass per unit area or length of stream) from measurable habitat variables and classified them by the types of independent habitat variables found significant, by mathematical structure, and by model quality. Habitat variables were of three types and were measured on different scales in relation to stream channels: variables of drainage basins were measured on the coarsest scale from topographic maps; channel-morphometry and flow variables were measured in the field along transects perpendicular to flow; and habitat-structure, biological, physical, and chemical variables were measured on the finest scale in the field. We grouped the 99 reviewed models by the types of independent variables found significant during model development: (A) primarily drainage basin (5 models), (8) primarily channel morphometry and flow (16 models), (C) primarily habitat structure, biological, physical, and chemical (25 models), (D) a combination of several types of variables (39 models), and (E) tests of weighted usable area as a habitat model (14 models. Most models were linear or multiple linear regressions, or correlations, but a few were curvilinear functions (exponential or power). Some used multivariate techniques (principal components or factor analysis), and some combined independent variables into one or more indices. We judged model quality based on simple criteria of precision and generality: coefficient of determination, sample size, and degrees of freedom. Most models were based on data sets of fewer than 20 observations and, thus, also had fewer than 20 degrees of freedom. Most models with coefficients of determination of greater than 0.75 had fewer than 20 degrees of freedom, which led us to conclude that relatively precise models often lacked generality. We found that sound statistical procedures were often overlooked or were minimized during development of many models. Frequent problems were too small a sample size, possible bias caused by error in measuring habitat variables, using poor methods for choosing the best model, not testing models, using models based on observational data to predict standing crop, and making unrealistic assumptions about capture probabilities when estimating standing crop. The major biological assumptionthat the fish population was limited by habitat rather than fishing mortality, interspecific competition, or predationusually was not addressed. We found five main ways stream-fish-habitat models are used in fishery management. To be useful for analyzing land management alternatives, models must include variables affected by management and be specific for a homogeneous area of land.
Publisher:
ISBN:
Category : Fish communities
Languages : en
Pages : 60
Book Description
We reviewed mathematical models that predict standing crop of stream fish (number or biomass per unit area or length of stream) from measurable habitat variables and classified them by the types of independent habitat variables found significant, by mathematical structure, and by model quality. Habitat variables were of three types and were measured on different scales in relation to stream channels: variables of drainage basins were measured on the coarsest scale from topographic maps; channel-morphometry and flow variables were measured in the field along transects perpendicular to flow; and habitat-structure, biological, physical, and chemical variables were measured on the finest scale in the field. We grouped the 99 reviewed models by the types of independent variables found significant during model development: (A) primarily drainage basin (5 models), (8) primarily channel morphometry and flow (16 models), (C) primarily habitat structure, biological, physical, and chemical (25 models), (D) a combination of several types of variables (39 models), and (E) tests of weighted usable area as a habitat model (14 models. Most models were linear or multiple linear regressions, or correlations, but a few were curvilinear functions (exponential or power). Some used multivariate techniques (principal components or factor analysis), and some combined independent variables into one or more indices. We judged model quality based on simple criteria of precision and generality: coefficient of determination, sample size, and degrees of freedom. Most models were based on data sets of fewer than 20 observations and, thus, also had fewer than 20 degrees of freedom. Most models with coefficients of determination of greater than 0.75 had fewer than 20 degrees of freedom, which led us to conclude that relatively precise models often lacked generality. We found that sound statistical procedures were often overlooked or were minimized during development of many models. Frequent problems were too small a sample size, possible bias caused by error in measuring habitat variables, using poor methods for choosing the best model, not testing models, using models based on observational data to predict standing crop, and making unrealistic assumptions about capture probabilities when estimating standing crop. The major biological assumptionthat the fish population was limited by habitat rather than fishing mortality, interspecific competition, or predationusually was not addressed. We found five main ways stream-fish-habitat models are used in fishery management. To be useful for analyzing land management alternatives, models must include variables affected by management and be specific for a homogeneous area of land.
Coordination of Federal Research and Monitoring Programs for Toxic and Hazardous Substances in the Great Lakes Region
Author: United States. Congress. House. Committee on Science and Technology. Subcommittee on Natural Resources and Environment
Publisher:
ISBN:
Category : Water
Languages : en
Pages : 470
Book Description
Publisher:
ISBN:
Category : Water
Languages : en
Pages : 470
Book Description
Selected Water Resources Abstracts
USDA Forest Service General Technical Report NC.
Author:
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 486
Book Description
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 486
Book Description