Robert L. Anemone

Google Earth, GIS, and the Great Divide: A new and simple method for sharing paleontological data

Introduction The ease, efficiency, and speed of data communication and analyses are paramount to, and characteristic of, any mature science. GIS is an extraordinarily powerful tool for many aspects of (geo)spatial analyses (Longley et al., 2001), but while used routinely to solve complex spatial analyses problems in many disciplines, its adoption within paleontology has been lagging (Conroy, 2006). Part of the problem is that (a) GIS software is expensive (usually prohibitively so to the individual paleontological researcher) and (b) very few paleontologists are trained in its use. Here we show how paleontological data can be easily displayed and communicated in ways never before possible by combining Google Earth and Geographic Information Systems (GIS). Using paleontological field data, we demonstrate several examples that go far beyond the novelty of simply “find my house” that many Google Earth users are currently familiar with. Specifically, we show how GIS map layers of paleontological interest, including their associated attribute tables (e.g., field catalog data), can be freely and easily transmitted to anyone with Internet access and familiarity with Google Earth. Data organized in GIS layers can be exported to the keyhole mark-up language native to Google Earth (KML/KMZ), transmitted to colleagues (who may have no knowledge of or access to GIS) as an email attachment, and then simply “dragged and dropped” by the recipient onto their own desktop Google Earth display, where the map layers appear “draped” over the Google Earth landscape. The recipient has access to all the graphics and attributes of each map layer that has been exported from GIS as well as to all Google Earth tools [e.g., ability to adjust map layer transparencies, labeling, longitude/latitude (or UTM determinations), spatial measurements, and “tilting” of landscapes for enhanced 3D views]. These tools are often sufficient to allow the non-GIS user to obtain specific information of interest from the data.

GIS and Paleoanthropology: Incorporating New Approaches from the Geospatial Sciences in the Analysis of Primate and Human Evolution.

The incorporation of research tools and analytical approaches from the geospatial sciences is a welcome trend for the study of primate and human evolution. The use of remote sensing (RS) imagery and geographic information systems (GIS) allows vertebrate paleontologists, paleoanthropologists, and functional morphologists to study fossil localities, landscapes, and individual specimens in new and innovative ways that recognize and analyze the spatial nature of much paleoanthropological data. Whether one is interested in locating and mapping fossiliferous rock units in the field, creating a searchable and georeferenced database to catalog fossil localities and specimens, or studying the functional morphology of fossil teeth, bones, or artifacts, the new geospatial sciences provide an essential element in modern paleoanthropological inquiry. In this article we review recent successful applications of RS and GIS within paleoanthropology and related fields and argue for the importance of these methods for the study of human evolution in the twenty first century. We argue that the time has come for inclusion of geospatial specialists in all interdisciplinary field research in paleoanthropology, and suggest some promising areas of development and application of the methods of geospatial science to the science of human evolution.

Finding fossils in new ways: An artificial neural network approach to predicting the location of productive fossil localities

Chance and serendipity have long played a role in the location of productive fossil localities by vertebrate paleontologists and paleoanthropologists. We offer an alternative approach, informed by methods borrowed from the geographic information sciences and using recent advances in computer science, to more efficiently predict where fossil localities might be found. Our model uses an artificial neural network (ANN) that is trained to recognize the spectral characteristics of known productive localities and other land cover classes, such as forest, wetlands, and scrubland, within a study area based on the analysis of remotely sensed (RS) imagery. Using these spectral signatures, the model then classifies other pixels throughout the study area. The results of the neural network classification can be examined and further manipulated within a geographic information systems (GIS) software package. While we have developed and tested this model on fossil mammal localities in deposits of Paleocene and Eocene age in the Great Divide Basin of southwestern Wyoming, a similar analytical approach can be easily applied to fossil‐bearing sedimentary deposits of any age in any part of the world. We suggest that new analytical tools and methods of the geographic sciences, including remote sensing and geographic information systems, are poised to greatly enrich paleoanthropological investigations, and that these new methods should be embraced by field workers in the search for, and geospatial analysis of, fossil primates and hominins.

An artificial neural network-based approach to identifying mammalian fossil localities in the Great Divide Basin, Wyoming

Successful identification of fossil-bearing sedimentary deposits in the field typically requires expert knowledge in geology and anatomy and some degree of luck. One way to reduce the role of serendipity is to develop an empirical model that increases the likelihood of locating productive fossil-bearing deposits by identifying combinations of geological, geospatial and spectral features that are common to productive localities. In this example, a neural network classifier successfully identified Eocene mammalian fossil localities in the Great Divide Basin, Wyoming. This approach has broad implications for many other types of anthropological field research that also involve unique geospatially distributed phenomena.

An anachronistic Clarkforkian mammal fauna from the Paleocene Fort Union Formation (Great Divide Basin, Wyoming, USA)

The Clarkforkian (latest Paleocene) North American Land Mammal Age (NALMA) remains a relatively poorly sampled biostratigraphic interval at the close of the Paleocene epoch that is best known from the Bighorn Basin of northwestern Wyoming. A period of global warming between the cooler early and middle Paleocene and the extreme warming of the early Eocene, the Clarkforkian witnessed significant floral and faunal turnover with important ramifications for the development of Cenozoic biotas. The combination of warming global climates with mammalian turnover (including likely intercontinental dispersals) marks the Clarkforkian and the succeeding Wasatchian (Earliest Eocene) NALMAs as periods of intense interest to paleobiologists and other earth scientists concerned with aspects of biostratigraphy and with the biotic effects of climate change in the past. In this paper we describe a new Clarkforkian mammalian fauna from the Great Divide Basin of southwestern Wyoming with some surprising faunal elements that differ from the typical suite of taxic associations found in Clarkforkian assemblages of the Bighorn Basin. Several different scenarios are explored to explain this “anachronistic” assemblage of mammals from southern Wyoming in relation to the typical patterns found in northern Wyoming, including the concepts of basin-margin faunas, latitudinal and climatic gradients, and a chronologically transitional fauna. We suggest that the observed faunal and biostratigraphic differences between southern and northern Wyoming faunas most likely result from latitudinal and associated climatic differences, with floral and faunal changes being reflected somewhat earlier in the south during this period of marked climate change.

Phylogeny, Life History and the Timing of Molar Crown Formation in Two Archaic Ungulates, Meniscotherium and Phenacodus (Mammalia, ‘Condylarthra’)

The condylarths, or archaic ungulates, are a paraphyletic mammalian group including a number of fossil taxa whose relationships are unresolved. Included are two genera from the Paleocene and Eocene of North America, Meniscotherium and Phenacodus. Some workers place both genera in the family Phenacodontidae, while others exclude the highly dentally derived Meniscotherium. In this study, we use growth increments in histological thin sections to examine the timing of crown formation in five molars of Meniscotherium and one each of Phenacodusintermedius and Phenacodus trilobatus. We also use perikymata counts on an additional six molars of Meniscotherium. Although estimated body mass and molar dimensions in Meniscotherium are smaller than in either species of Phenacodus, molar formation times are longer, ranging from 0.71 to 1.44 years. Both Phenacodus molars take less than a year to form. Crown extension rates, the rate at which the crown grows in height, are as low as 3-15 microm per day in Meniscotherium, but range from 13 to 54 microm per day in Phenacodus. Although striae periodicities and daily enamel secretion rate are similar in both genera, the differences in the crown extension rate and overall timing of crown formation suggest differences in life histories and raise questions about the phylogenetic relationship of the two genera.

An Object-Oriented Approach to Extracting Productive Fossil Localities from Remotely Sensed Imagery

Most vertebrate fossils are rare and difficult to find and although paleontologists and paleoanthropologists use geological maps to identify potential fossil-bearing deposits, the process of locating fossiliferous localities often involves a great deal of luck. One way to reduce the role of serendipity is to develop predictive models that increase the likelihood of locating fossils by identifying combinations of geological, geospatial, and spectral features that are common to productive localities. We applied GEographic Object-Based Image Analysis (GEOBIA) of high resolution QuickBird and medium resolution images from the Landsat 8 Operational Land Imager (OLI) along with GIS data such as slope and surface geology layers to identify potentially productive Eocene vertebrate fossil localities in the Great Divide Basin, Wyoming. The spectral and spatial characteristics of the image objects that represent a highly productive locality (WMU-VP-222) were used to extract similar image objects in the area covered by the high resolution imagery and throughout the basin using the Landsat imagery. During the 2013 summer field season, twenty-six locations that would not have been spotted from the road in a traditional ground survey were visited. Fourteen of the eighteen localities that were fossiliferous were identified by the predictive model. In 2014, the GEOBIA techniques were applied to Landsat 8 imagery of the entire basin, correctly identifying six new productive localities in a previously unsurveyed part of the basin.

Well Deserved Tribute to Fred Szalay

It is a great pleasure to review a volume honoring Fred Szalay’s many outstanding contributions to vertebrate paleontology and evolutionary morphology. The latest entry in Springer’s Vertebrate Paleobiology and Paleoanthropology series is a fitting tribute to a giant of our field whose influence continues to be felt as a result of his body of work and the work of his students and colleagues, many of whom are represented in the list of contributors to and editors of this volume. In the spirit of full disclosure I should state that as a graduate student in the 1980s with interests in primate functional morphology and evolution, I spent long hours and exerted much effort trying to master the complex rhetoric and forceful argumentation of Fred’s many publications, especially those on morphological and phylogenetic aspects of Paleocene and Eocene primates. Mixed with the pleasure of reviewing this wonderful tribute to Fred, however, is my sadness at noting the volume’s dedication to the memory of Dr. Justine A. Salton, Fred’s last Ph.D. student who died at far too young an age, only three months after defending her dissertation. Justine was an exceptionally promising young scholar and a friend to the editors, many of the contributors, and to this reviewer, and this volume serves as a fitting tribute to her life and scientific accomplishments. Mammalian Evolutionary Morphology comprises a preface written by the editors, a complete listing of Szalay’s published work, and two sections of nine chapters each, dedicated to studies of non-primate mammals and to primates, respectively. In their preface, editors Sargis and Dagosto provide a fascinating overview of Fred’s life and career, as well as a systematic analysis of his contributions to our science. They suggest that his impact can be best understood in three major research areas: primate functional morphology, mammalian evolutionary morphology, and the theory and practice of phylogeny reconstruction. For each of these three areas, they provide a concise narrative summary of Szalay’s work, highlighting his major publications and the conclusions drawn therein. This topical organization provides a kind of scaffold for the entire volume, as the editors tell us how each of the individual chapters fits into or contributes to these different themes. But the real accomplishment of the editors and the authors is that together, they have created a book that celebrates the scientific work of Fred Szalay by re-engaging with questions, issues, and problematic taxa that he himself worked on years or decades ago. He must be very proud to reflect on the many advances in our understanding of these topics illustrated by the work of his former students, colleagues, and friends in this volume. Two of the nine chapters in Part One involve analyses of functional morphology and locomotor J Mammal Evol (2010) 17:61–63 DOI 10.1007/s10914-009-9112-3