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E-raamat: Advancing Land Change Modeling: Opportunities and Research Requirements

  • Formaat: 152 pages
  • Ilmumisaeg: 31-Mar-2014
  • Kirjastus: National Academies Press
  • Keel: eng
  • ISBN-13: 9780309288347
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  • Formaat: 152 pages
  • Ilmumisaeg: 31-Mar-2014
  • Kirjastus: National Academies Press
  • Keel: eng
  • ISBN-13: 9780309288347
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People are constantly changing the land surface through construction, agriculture, energy production, and other activities. Changes both in how land is used by people (land use) and in the vegetation, rock, buildings, and other physical material that cover the Earth's surface (land cover) can be described and future land change can be projected using land-change models (LCMs). LCMs are a key means for understanding how humans are reshaping the Earth's surface in the past and present, for forecasting future landscape conditions, and for developing policies to manage our use of resources and the environment at scales ranging from an individual parcel of land in a city to vast expanses of forests around the world.



Advancing Land Change Modeling: Opportunities and Research Requirements describes various LCM approaches, suggests guidance for their appropriate application, and makes recommendations to improve the integration of observation strategies into the models. This report provides a summary and evaluation of several modeling approaches, and their theoretical and empirical underpinnings, relative to complex land-change dynamics and processes, and identifies several opportunities for further advancing the science, data, and cyberinfrastructure involved in the LCM enterprise. Because of the numerous models available, the report focuses on describing the categories of approaches used along with selected examples, rather than providing a review of specific models. Additionally, because all modeling approaches have relative strengths and weaknesses, the report compares these relative to different purposes. Advancing Land Change Modeling's recommendations for assessment of future data and research needs will enable model outputs to better assist the science, policy, and decisionsupport communities.

Table of Contents



Front Matter Summary 1 The State of Land Change Modeling 2 Land Change Modeling Approaches 3 Improving Land Change Modeling References Appendixes Appendix A: List of Contributors Appendix B: Online Questionnaire Appendix C: Committee and Staff Biographies
Summary 1(10)
1 The State Of Land Change Modeling
11(18)
The Significance of Land Systems and Land Change Models
13(2)
Key Concepts
15(4)
Needs for Science and Practice
19(2)
Model Uncertainty
21(2)
Measurement and Characterization of Land Change
23(4)
Structure of the Report
27(2)
2 Land Change Modeling Approaches
29(46)
Machine Learning and Statistical
30(7)
Cellular
37(7)
Sector-Based and Spatially Disaggregated Economic
44(13)
Agent-Based
57(8)
Hybrid Approaches
65(3)
A Comparison of Land Change Modeling Approaches
68(7)
3 Improving Land Change Modeling
75(32)
Opportunities for Advances in Land Change Models
75(9)
Opportunities in Land Observation Strategies
84(6)
Opportunities in Cyberinfrastructure
90(3)
Opportunities for Infrastructure to Support Land Change Modeling
93(5)
Model Evaluation
98(9)
References
107(22)
Appendixes
A List of Contributors
129(6)
B Online Questionnaire
135(2)
C Committee and Staff Biographies
137