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Resource and Market Projections for Forest Policy Development: Twenty-Five Years of Experience with the Us Rpa Timber Assessment

ISBN-13: 9781402063084 / Angielski / Twarda / 2007 / 591 str.

Richard W. Haynes
Resource and Market Projections for Forest Policy Development: Twenty-Five Years of Experience with the Us Rpa Timber Assessment Adams, Darius M. 9781402063084 Springer - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Resource and Market Projections for Forest Policy Development: Twenty-Five Years of Experience with the Us Rpa Timber Assessment

ISBN-13: 9781402063084 / Angielski / Twarda / 2007 / 591 str.

Richard W. Haynes
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Figure 1-1. Post-World War II US assessment history. 1973)weremotivatedbytheemergingcon?ictsinthepost-WorldWar II period between rapidly increasing softwood harvests and declining timber growth. These are called the Outlook Studies. The last six studies (1980, 1985, 1989, 1993, 2000, 2005) have been conducted to meet the requirements of the Forest and Rangeland Renewable Resources Planning Act (RPA) of 1974. These are called the RPA Timber Assessments. 6 The Challenge of Developing Models 1. 2 SHAPING THE ASSESSMENT SYSTEM This initial chapter describes the development and speci?c structure of the Assessment System. We consider past policy analysis needs and federal legislative requirements, antecedent modeling and projection approaches, characteristics of the US forest sector, and recent trends in public and private resource management. At the federal level, and in some states and regions, the USA has a lengthy history of using resource and market models to explore policy issues and to examine the e?ects of alternative policy actions. Many of these studies have been undertaken on an irregular basis as issues emerged and resource conditions changed. The RPA legislation mandated a regular cycle of nationwide assessments by the Forest Service, examining trends and conditionsinanarrayofresourceusesandservices(climate, minerals, range, recreation, timber, andwater). ThestructureoftheAssessment System re?ects both the requirements of the RPA legislation and the unique characteristics of the US forest sector, which it is designed to simulate. IntheyearssinceenactmentoftheRPAlegislation, mana- ment directions, and objectives on both public and private lands in the USA have continued to evolve. The structure of the Assessment System has been adapted to re?ect these tr

Kategorie:
Nauka, Biologia i przyroda
Kategorie BISAC:
Nature > Plants - Trees
Science > Environmental Science (see also Chemistry - Environmental)
Law > Environmental
Wydawca:
Springer
Seria wydawnicza:
Managing Forest Ecosystems
Język:
Angielski
ISBN-13:
9781402063084
Rok wydania:
2007
Wydanie:
2007
Numer serii:
000206834
Ilość stron:
591
Waga:
1.08 kg
Wymiary:
23.5 x 15.5
Oprawa:
Twarda
Wolumenów:
01
Dodatkowe informacje:
Bibliografia
Wydanie ilustrowane

Section 1: Timber Assessments in Supporting the Development of National Forestry Programs and Policy. 1. The challenge of developing models to support forest sector policy analysis. 1.1 Introduction. 1.2 Shaping the Assessment System. 1.2.1 Past studies, methods, and policy intent. 1.2.2 Requirements of the RPA legislation. 1.2.3 Characteristics of the U.S. forest sector. 1.2.4 Changing management paradigms on public and private lands. 1.3 General model attributes; RW Haynes, DM Adams.- 2. Methodological considerations in developing the Timber Assessment Projection System. 2.1 Introduction. 2.2 Approaches to forest policy planning and analysis. 2.3 Overview of the Assessment System. 2.3.1 RPA legislation, past analytical traditions and model structure. 2.3.2 Outline of the Assessment System. 2.4 Some general considerations in forest sector model development. 2.4.1 Static or dynamic models. 2.4.2 Number of market levels. 2.4.3 Resource detail. 2.4.4 Form and extent of spatial detail. 2.4.5 Exogenous or endogenous land base. 2.4.6 Exogenous or endogenous management investment; DM Adams, RW Haynes.- Section 2: Model Components. 3. Solid wood—Timber Assessment Market model. 3.1 Introduction. 3.2. General TAMM structure. 3.3 Models of solid wood market components. 3.3.1 Demand for softwood lumber, softwood plywood, and OSB. 3.3.2 Demand for hardwood lumber. 3.3.3 Product supply relations and capacity adjustment. 3.3.4 Demand for logs and stumpage. 3.3.5 Sawtimber stumpage supply. 3.3.6 Nonstructural panels. 3.3.7 Transport costs. 3.4 Model solution. 3.4.1 Market equilibrium. 4.2 Links to other model elements. 3.5 Review of approaches to modeling the solid wood sector. 3.5.1 Short-term models versus long-term models. 3.5.2 Specification of demand. 3.5.3 Supply-side specification, log demand, and capital stock. 3.5.4 Spatial structure and trade. 3.5.5 Sawtimber supply; DMAdams.- 4. North American Pulp and Paper model (NAPAP). 4.1 Introduction. 4.1.1 Historical context. 4.2 NAPAP model–origins and objectives. 4.2.1 Background. 4.2.2 Specifications. 4.2.3 FPL pulpwood model. 4.2.4 NAPAP model. 4.3 Other models and related literature. 4.3.1 Contemporaneous forest sector models. 4.3.2 Spatial equilibrium modeling. 4.3.3 Price-endogenous linear programming. 4.3.4 Techno-spatial equilibrium modeling. 4.4 Mathematical structure of NAPAP model. 4.4.1 Objective function. 4.4.2 Demand. 4.4.3 Supply. 4.4.4 Material balance constraints and prices. 4.4.5 Manufacturing capacity constraints. 4.4.6 Net manufacturing costs and input-output coefficients. 4.4.7 Recursive relationships. 4.4.8 Selected outputs. 4.4.9 Conclusions; PJ Ince , J Buongiorno.- 5. Methods for projecting areas of private timberland and forest cover types. 5.1 Introduction. 5.2 History and scope of large-scale forest area change projections. 5.3 Structure of land-use and land-cover modeling. 5.4 Land-use modeling. 5.4.1 Land-use theory. 5.4.2 Land-use model estimation. 5.4.3 Examples of regional models. 5.5 Projecting land-use changes. 5.5.1 Projections of exogenous variables. 5.5.2 Projection methods for land uses. 5.6 Land-cover modeling. 5.6.1 Type transition theory. 5.6.2 Type transition model estimation. 5.7 Model validation. 5.8 Summary. Appendix 5: Land-use data; R Alig, A Plantinga.- 6. Timber inventory and management—ATLAS. 6.1 Introduction. 6.2 ATLAS structure and linkage to other Assessment System elements. 6.2.1 Inventory strata and inventory data. 6.2.2 Growing stock removals and harvest requests. 6.2.3 Timberland area and forest type change. 6.2.4 Management intensity. 6.2.5 Modeling forest growth. 6.2.6 Modeling yields under different harvesting methods/silvicultural regimes. 6.3 Management investment. 6.4 Other approaches to inventory projection; JR Mills, DM Adams.-

Long-range models that include product and resource detail are essential to meaningful analysis of both industry and resource sustainability. Taking this as it’s central argument, this book provides essential reading to anyone interested in projecting the future of either the forest products market and/or the forest resource conditions. It is aimed at policy makers, model builders, researchers and graduate students who are building or using forest sector models, as well as at forest industry managers and analysts.

While focusing on a specific modeling system – the US Timber Assessment models – the authors highlight the general elements that might comprise a forest-sector market model of any country or region. Approaches to policy analysis are also general and equally applicable to both national and multi-national forest policy development outside the US – particularly in relation to on-going efforts to formulate national programs of sustainable forestry.

The text provides literature surveys on relevant modeling issues and policy concerns, and demonstrates the application of the modeling system using a "base case" 50 year projection and a small set of scenarios to illustrate, for example, the effects of changes in public harvest policies, global change, variations in investments in silviculture, and globalization.

Darius Adams and Richard Haynes are widely recognized as leading experts in the forest sector modeling field.



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