This file was created by scanning the printed publication. Errors identified by the software have been corrected; however, some errors may remain. MANAGEMENT IMPLICATIONS ASSOCIATED WITH LAND STRATIFICATION AND HABITAT TYPING Ronald K. Tew ABSTRACT: The Boise National Forest is following land systems inventory procedures to identify resource values and management constraints. Habitat-typing concepts are used to refine the inventory data and provide additional interpretations on land systems units. Several levels of inventory are used to meet planning needs. FOREST STRATIFICATION The land systems inventory process presented by Wertz and Arnold (1972) provided the original framework for land stratification on the Boise National Forest. Work by Wendt and others (1975) expanded the interpretations and provided a Forest map. Since that time, additional changes have been made using the concepts of Arnold (1975) and Bailey (1980) to obtain a broader frame of reference than just the Boise National Forest. INTRODUCTION Land management planning is currently being done on National Forest System lands as required by the National Forest Management Act of 1976. Broad inventories, together with site-specific evaluations, provide the basic data for preparing plans and for making critical land management decisions. The site-specific information is also used extensively in preparing environmental assessments and in selecting areas to be improved. Bailey's map was used to identify analysis areas for the Forest Service Regional Plan in the Intermountain Region (USDA Forest Service 198lb). The Boise National Forest is located within the Northern Rockies Analysis Area, characterized by the grand-fir-Douglas-fir vegetation types. Within the Northern Rockies Analysis Area, subsections identified by Arnold (1975) were superimposed on the forest base map. These subsections established differences in basic geologic structure and landform and helped refine analysis areas. The resulting units are the zones previously defined. Landtype associations recognized by Wendt and others (1975) were expanded to provide contiguous units within these zones. The stratification process used in delineating associations was based on five broad geomorphic groupings: (1) Glaciated lands formed on high-elevation landscapes, (2) cryic lands occurring on frost-churned areas at moderately high elevations, (3) fluvial lands formed on landscapes dominantly affected by the erosive action of water, (4) volcanic lands formed on flows and cones, and (5) depositional lands resulting from glacial moraines, outwash materials, and alluvium. Much of the data required is being collected through land systems inventories (Wertz and Arnold 1972; Bailey 1980). Habitat types (units of land that are capable of producing similar climax vegetation) are used to refine inventory units by recognizing vegetation types that are indicative of an integra~ed moisture and temperature regime. Although nine levels of land systems inventory are recognized by Bailey (1980), only three levels will be discussed here. The most inclusive of these three levels will be referred to as "zones." Zones are broad units of land with similar geologic structure, landform, and climate. Within zones, "landtype associations" are recognized on the basis of landform, soils, geology, and climate. "Landtypes" are identified within the associations. They provide more site-specific information on landform, soils, and vegetation. Habitat types or groups of habitat types are recognized within any land systems level desired. All or portions of 21 zones were established to cover approximately 3 million acres of land. From three to five landtype associations were recognized within each zone. More than 100 landtypes were identified throughout the forest. All three levels are being used to: (1) Describe the location of resources available for management, (2) improve predictive capabilities in terms of production potentials and limitations imposed on management within sensitive environments, (3) provide a basis for extrapolation of information from one unit of land to another, (4) improve interdisciplinary communication where a common land base has been established, and (5) provide a relatively homogeneous environment that reduces sampling variation. GEOLOGY AND SOILS Granitic (quartz monzonite and granodiorite) parent materials of the Idaho Batholith cover approximately 85 percent of the Boise National Forest. Soils are sandy and often shallow to moderately deep over fractured decomposed bedrock. Clayton and Arnold (1972) have described the differences in bedrock characteristics in terms of structure, texture, weathering, and fracturing qualities which affect the type of soil being developed. Ronald K. Tew is Range, Watershed, and Wildlife Officer on the Boise National Forest, USDA, Forest Service, Boise, Idaho. 2 Basalt flows are common on the southern end of the forest where deeply cut canyons overshadow the streams. A limited acreage of structurally controlled basalt lands with west-facing dip slopes occurs on the west-central portion of the forest. In the basalt parent materials, soils are often shallow, cobbly clay-loams, although some sites have moderately deep to deep soils that are very productive. Sampling Intensity Because inventory and sampling is a continuous process, one must decide the proper level of sampling. Previous inventories provide the measure of variation needed to make these estimates. Although the example being used relates to range production, equal use can be made of the homogeneous land units for wildlife studies, soil monitoring programs, timber production estimates, and similar studies. MANAGEMENT IMPLICATIONS Using range analysis data, it is possible to determine the coefficient of variation for production studies and relate these values to the number of samples needed to obtain acceptable estimates. The coefficient of variation expresses the sample standard deviation as a fraction of the sample mean and is useful in calculating sample size using the following equation: Discussion of management implications associated with land systems inventory and habitat typing is limited to production potentials, sampling intensities, extrapolation of data, sedimentation and mass wasting problems, and implementation of watershed and forage improvement projects. Range Forage Production where Forage production has been measured on range allotments for many years. In the past, information has been collected by range type (sagebrush/ grass, dry meadow, etc.) without correlation to soils and habitat types. As a result, sampling variability has been greater than desired. n t cv Because range forage sampling sites were identified on maps, they can now be correlated with mapped land systems units. Also, because range habitat types have been established for Idaho, this concept can be applied to the older inventory information by recognizing key species identified on inventory forms. E the number of samples needed. a tabular value from the student's t-distribution based on a specified confidence level and on sample size. the coefficient of variation. the percent variation from the true mean value that is acceptable (expressed as a decimal). A quick evaluation of the equation can be made by referring to figure 1. With major funding constraints, there will be few opportunitie~ to continue range analysis in the traditional manner, yet production information is still needed to prepare adequate plans for allotment management. To meet this demand, information from approximately 1,300 transects was assembled and analyzed. Production was evaluated by range types on land systems units at various levels of stratification. Although this type of analysis helped in interpreting production values, there was a real need for further refinement. It was recognized that year-to-year variation was great and that production and species composition varied greatly within range types, which included many habitat types. Also, it was common to only have 1 year of inventory data. 0~--~----L---~----L---~----~--~----L----L--~ 10 30 40 50 NUMBER OF SAMPLES To improve interpretations, information was sorted into habitat types. Herbage production was then summed, using data from 1963 to 1981. Production by habitat type was established for individual species of grasses, forbs, and shrubs together with totals for each of these categories. Forage values were assigned to individual species and total herbage production was adjusted based on differences in species palatability. Using many years of data greatly increased the reliability of production estimates on specific areas identified in the land systems inventory. Figure 1.--Relation between sample variability and the number of samples needed for various levels of precision. This figure is based on a 20 percent confidence level and has curves for ±10 to ±40 percent of the true mean for any coefficient of variation specified. The number of samples needed to reach an acceptable level of precision can be read directly from the curve without having to go through several approximations with the equation. Although a 20 percent confidence level is used 3 Because onsite erosion, as well as stream sedimentation, are evaluated, it is possible to predict average changes in water quality and to relate to fisheries interpretations. Although surface erosion is usually insignificant on forested watershed, it becomes an important factor to consider on lands disturbed by man's activities. and is assumed to be acceptable for range sampling, curves for other confidence levels can also be easily prepared. Data Extrapolation Because funding and time constraints limit the amount of sampling that can be done, the system being described provides a basis for extrapolating present information to units of land where no information has been obtained. The data previously described can be used to extrapolate production estimates to land units where no sampling has been done. The range type or habitat type must be identified for the unit of land in question together with the land systems unit that has been mapped. The production estimates can then be used directly. It is best to keep the extrapolation of data within the mapped zones because of differences encountered between zones. Mass erosion hazards related to soil failure and movement of material by gravity, either slowly or quickly, can be a significant factor on many landtypes. Therefore, hazard ratings are assigned to all landtypes and are used in the total sediment yield predictions on selected watersheds. By combining the sediment yields from natural processes with yields from surface erosion and mass erosion, a total sediment yield can be predicted. The ability of soil scientists and hydrologists to adequately predict sedimentation may truely determine the use constraints on critical watersheds in the near future. Restoration and Improvement Work CONCLUSIONS Land systems inventory and habitat typing have significant values in restoration work. Some important considerations include: (1) The land areas suitable for seeding, planting, burning, spraying, or for some type of mechanical treatment can be easily identified and a backlog of work needs programed for accomplishment, (2) predicted responses for any given environment can be made including planting success on trees and shrubs, increases in production following seeding or burning, limitations associated with hot or cold temperatures, moisture deficits or excesses, and slope stability and erosion concerns, and (3) seed collection and planting can be tied directly to the habitats of. concern as well as selecting adapted species that will increase success of restoration projects. The need for such improvements as water developments can also be related to land units in a general way. Land systems inventory units combined with habitat typing concepts provide a useful land management framework. Resources available for management can be cataloged in an orderly manner using a land stratification system. Communications between disciplines are improved when land units have bee~ clearly defined. This becomes a critical factor in more aspects than is commonly recognized. Sampling and extrapolation of data from one unit of land to ~nother can be greatly improved. This can effect significant savings, which is important during periods with rapidly declining budgets. Predictive capabilities on sediment yields, site productivity, and response to restoration work are greatly improved by characterizing land units. Because of these advantages, land systems inventories in combination with habitat typing concepts can be highly recommended for characterizing lands where management is being intensified. Continual improvement is needed to meet changes in management direction. This change is what makes management difficult, but it also provides challenges. Erosion and Sedimentation Slope instability and sedimentation are a major concern to land managers in the Idaho Batholith because sediment constraints are tied directly to management activities. In order to meet requirements in various plans, sedimentation associated with fire, road construction and maintenance, mining, grazing, and timber harvest activities must be planned for, controlled, and monitored closely. The land manager must understand slope stability as it relates to bedrock structure, texture, weathering, fracturing qualities, and landscape characteristics. PUBLICATIONS CITED Arnold, John F. The Idaho Batholith -A source of information. Ogden, UT: U.S. Department of Agriculture, Forest Service, Intermountain Region; 1975. 290 p. Bailey, Robert G. Description of the ecoregions of the United States. Ft. Collins, CO: U.S. Department of Agriculture, Forest Service; Misc. Publ. No. 1391; 1980. 77 p. The sediment prediction procedure currently being used on the Boise National Forest is applied on watersheds that are stratified into land systems inventory units (USDA Forest Service 198la). The model is used to predict natural sediment levels together with current rates and any increase that might be created by management activities. Cumulative effects are evaluated over time, taking any increase in sedimentation into account and evaluating the rate of return to natural levels. The information is useful in comparing impacts of different alternatives being considered in the planning process. Clayton, James L.; Arnold, John F. Practical grain size fracturing density, and weathering classification of intrusive rocks of the Idaho Batholith. Ogden, UT: U.S. Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station; Gen. Tech. Report INT-2; 1972. 17 p. 4 U.S. Department of Agriculture, Forest Service. Guide for predicting sediment yields from forested watersheds. Ogden, UT. Missoula, MT: U.S. Department of Agriculture, Forest Service, Northern and Intermountain Regions and the Intermountain Forest and Range Experiment Station; 198la. 112 p. A draft Regional plan for the Intermountain Region. Ogden, UT: U.S. Department of Agriculture, Forest Service, Intermountain Region; 198lb. 92 p. Wendt, George E.; Thompson, Richard A.; Larson, Kermit N. Land systems inventory, Boise National Forest, Idaho. Ogden, UT: U.S. Department of Agriculture, Forest Service, Intermountain Region; 1975. 54 p. Wertz, William A.; Arnold, John F. Land systems inventory. Ogden, UT: U.S. Department of Agriculture, Forest Service, Intermountain Region; 1972. 12 p. 5