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Spring Semester 1998



Monday, January 19, 1998

Robert Costanza,University of Maryland, Bobbi Low,University of Michigan & James Wilson, University of Maine. "A Framework for Modeling the Linkages Between Ecosystems and Human Systems."
Abstract

We were very fortunate to have Dr. Robert Costanza, University of Maryland, Dr. Bobbi Low, University of Michigan, and Dr. James Wilson, University of Maine, visit the IU campus from January 17 to 21.  They are working with Elinor Ostrom on a series of papers that explore a dynamic model - referred to as the Beijer World - which uses an underlying framework to undertake analysis of both biological and human systems and their linkages.  Copies of an initial paper entitled "A Framework for Modeling the Linkages Between Ecosystems and Human Systems" were available at an informal colloquium session held on January 19th, at 4:00 p.m.  They presented some of the more advanced models they have developed and some of the findings from these models.

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Friday, February 6, 1998

Myron Gutmann, Professor, Department of History, The University of Texas at Austin"Land Use and Wind Erosion:  Rethinking the Causes of the Dust Bowl of the 1930s."
Abstract

The Dust Bowl of the 1930s is one of the best known and most often studied of the environmental "surprises" in United States history.  It was well described by its contemporaries, and powerfully presented in the visual and literary arts.  Many historians have tried to explain its causes, and most of the available explanations rest on the way that farmers used the land in the 1930s.  Are those explanations still appropriate?  The problem with answering that question is that despite a large quantity of newly amassed data, a great deal remains to be known about land use and environment in the 1930s.  This paper presents an innovative starting point by looking at a statistical model for predicting dust activity based on data from the 1960s, 1970s and 1980s.  The paper tells us what has caused the dust to blow in the recent years, based on the best approach available now.  Then the paper discusses whether the findings from recent decades can be extrapolated to data over a longer period of time and covering a larger area.  The conclusions present the story of dust in the recent past, and some partial confirmation of the story of the 1930s.  It gives renewed emphasis to the role of natural forces in the creation of the Dust Bowl.

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Monday, February 23, 1998

Billie Lee Turner II, Professor, Department of Geology, Clark University, Worchester, Massachusetts"Socializing the Pixel" and "Pixelizing the Social". Advanced Interdisciplinary Research on Land-Use/Cover Change.
Abstract

Remarkable advances underway in the remote sensing (RS) and the geographical information systems (GIS) provide an increasing wealth of data and analytical sophistication potentially potentially relevant to a wide range of problems and understanding.  RS and GIS have been rapidly adopted in the natural sciences, and constitute critical avenues of advancing global change science.  The social sciences, in contrast, including the human dimensions of global change, have been slow to explore the usefulness of RS and GIS for a variety of reasons, such as its presumed applicability to core social science problems, and perhaps, suspicion generated by the anti-positvistic trends within the social sciences.  Such programs as that of the IGBP-IHDP on Land-Use/Cover Change seek to rectify these trends and, in so doing, advance interdisciplinary cooperation in problem solving.

One such effort involves a genre of activities referred to as "socializing the pixel" or "pixelizing the social."  The aim is to make remotely sensed remotely sensed (spatially explicit) data more relevant to the core interests of social sciences and to link those interests directly to remotely sensed imagery.  The two principal avenues proposed by the LUCC are "mining the pixel" and "modeling to and from the pixel."  "Mining" refers to explorations that apply social meaning to the RSD, such as landscape (pixel) mosaics that infer the trajectory of socioeconomic well being.  "Modeling" refers to explorations that seek the relative robustness and wedding of empirical and theoretical approaches.  Empirical approaches, such as markoivan analysis, use changes in the pixel themselves to infer probabilities, and these probabilities can be "messaged" pixel by pixel by the application of the biophysical and social data to them.  Alternatively, theoretical approaches begin with structural and behavioral concepts of the "nature" of change, and with survey and archival work can be linked to the individual pixels incurring potential change.  As yet, we do not know which approach is more robust under different conditions, nor how the two approaches are ultimately wedded.

Explorations of this kind draw the social scientist into collaborative research with RS and GIS sciences and, commonly, the natural sciences.  An example is given on a project of this kind just underway in the southern Yucatan peninsular region.

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Monday, March 9, 1998

Steven Perz, Center for Latin American Studies, University of Florida, Gainsville"Population and Land-Use Changes in the Brazilian Amazon."
Abstract

Since 1970, population growth and land use accelerated in the Brazilian Amazon as new frontiers pushed into the region.  This talk assesses the role of population growth particularly by migration, for rises in land cover change.  The findings indicate that net in-migration rates remained high until the 1990s.  Perz discussed the implications of the findings for the causes and pace of land cover conversion in the Amazon.

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