Geographic Information Sciences Commons^™

Tackling Biocomplexity With Meta-Models For Species Risk Assessment, Philip J. Nyhus, Robert C. Lacy, Francis R. Westley, Philip S. Miller, Harrie Harrie Vredenburg, Paul C. Paquet, John Pollak

Faculty Scholarship

We describe results of a multi-year effort to strengthen consideration of the human dimension into endangered species risk assessments and to strengthen research capacity to understand biodiversity risk assessment in the context of coupled human-natural systems. A core group of social and biological scientists have worked with a network of more than 50 individuals from four countries to develop a conceptual framework illustrating how human-mediated processes influence biological systems and to develop tools to gather, translate, and incorporate these data into existing simulation models. A central theme of our research focused on (1) the difficulties often encountered in identifying and …

Mapping Khulan Habitats: A Gis-Based Approach, Henrik Von Wehrden, Karsten Wesche

Erforschung biologischer Ressourcen der Mongolei / Exploration into the Biological Resources of Mongolia, ISSN 0440-1298

This paper focuses on the contribution that a combination of public domain GIS data with extensive habitat data can make to Khulan conservation in southern Mongolia. We describe a dataset taken in the Great Gobi 'A' Strictly Protected Area which represents the driest region within the overall Khulan distribution range. Potential habitats were classified following a phyto-sociological approach based on vegetation samples collected in the field. These data are combined with an open source climate model that allowed assessment of the influences of mean precipitation and temperature regime on habitat conditions. The results are put into a Gobi-wide context providing …

Emerging Near-Real Time Forage Monitoring Technology With Application To Large Herbivore Management In Mongolia, Dennis P. Sheehy, Jerry W. Stuth, Douglas E. Johnson, Jay Angerer, Douglas Tolleson

Erforschung biologischer Ressourcen der Mongolei / Exploration into the Biological Resources of Mongolia, ISSN 0440-1298

Large herbivore livestock and wildlife in Mongolia depend almost entirely for substance on forage standing crop produced each year on natural pastureland. Consequently, both livestock and wildlife are continuously subject to environmental risk, especially drought and severe winter storms, while livestock are also subject to financial risk. As consumption-based livestock production changes to commercialized livestock production, steps taken by the livestock herder to avert both environmental and financial risk to livestock can increase environmental risk to large wild herbivores. A realistic and workable pastureland and risk management system will be critical for conservation of large herbivore habitat. New technologies are …

Biodiversity In Space And Time: Towards A Grid Mapping For Mongolia, Michael Stubbe, Annegret Stubbe, Henrik Von Wehrden, Nayamsuren Batsaikhan, Ravčigijn Samjaa

Erforschung biologischer Ressourcen der Mongolei / Exploration into the Biological Resources of Mongolia, ISSN 0440-1298

In the future, grid mapping of animal and plant organisms will also play a major role in Mongolia. Based on geographical coordinates, a grid with a resolution of 100 x 100 km was created, which contained 561 cells. Methods and level of current understanding are exemplified by means of two raptors and three mammal species. This establishes a basis for an initial project, which will summarize all breeding occurrences of raptors based on all records, publications, or diary notes. For the first time, the short toed eagle was verified in Mongolia as a breeding bird in 2004. By 2006, ten …

Biomass Estimation And Classification Of Secondary Succession Using Radar And Optical Remote Sensing Data Based On Textural And Spectral Analysis In Amazonia, Ping Jiang

All-Inclusive List of Electronic Theses and Dissertations

Deforestation that happened during past decades in the Amazon Basin has been potentially affecting the global climate and carbon-cycle by contributing a vast amount of carbon into the atmosphere. Above-ground biomass (AGB) estimation of secondary successional and mature forests using remote sensing technology has been attracting scientists' attention. Optical sensor data are sensitive to forest canopies only, and therefore have limitations in AGB estimation, especially for tropical forests with complex structures and abundant species. Radar signals have the ability to penetrate canopies to detect the sub-layers of forests, and therefore potentially have a better performance in AGB estimation. Based on …

Accuracy Assessment Of Land Cover Maps Derived From Multiple Data Sources, Daniel Unger, Hillary Tribby, Hans Michael Williams, I-Kuai Hung

Faculty Publications

Maximum Likelihood (ML) and Artificial Neural Network (ANN) supervised classification methods were used to demarcate land cover types within IKONOS and Landsat ETM+ imagery. Three additional data sources were integrated into the classification process: Canopy Height Model (CHM), Digital Terrain Model (DTM) and Thermal data. Both the CHM and DTM were derived from multiple return small footprint LIDAR. Forty maps were created and assessed for overall map accuracy, user's accuracy, producer's accuracy, kappa statistic and Z statistic using classification schemes from U.S.G.S. 1976 levels 1 and 2 and T.G.l.C. 1999 levels 2 and 4. Results for overall accuracy of land …

Biomass Estimation Using Statistical And Neural Network Analysis Of Aster Data, Vijay O. Lulla

All-Inclusive List of Electronic Theses and Dissertations

This study assessed the performance of different biomass estimation methods using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) lll data in a temperate forest. Multiple linear regression statistics of spectral band data and derived indices with biomass values were compared with advanced neural network models created with spectral band data and indices to model biomass values. Biomass for the study area was estimated using both of these methods and the results were discussed. The data were analyzed using multivariate statistical analysis. Correlation analysis and regression analysis were employed to understand the relationship of biomass to the spectral data and …

Remotely Sensed Data To Map Forest Age Class By Cover Type In East Texas, Daniel Unger, I-Kuai Hung, Jeffrey M. Williams, James Kroll, Dean W. Coble, Jason Grogan

Faculty Publications

• Remote sensing in conjunction with ground truthing, can accurately quantify forest composition and age distributions in East Texas.
• Method uses standardized and readily available data available to the general public.
• Method was shown to be effective in terms of time and cost.

Identification Of Spatial And Temporal Patterns Of Secondary Succession Changes In Altamira, Brazil: Integrating Remote Sensing And Gis Technology, Hui Li

All-Inclusive List of Electronic Theses and Dissertations

There has been extensive use of remote sensing to study secondary succession of moist tropical forests in the Amazon Basin. However, scientists have not totally understood the dynamic processes of secondary succession of Amazon forests. A lack of consensus remains about what is the best approach for biomass estimation in the Amazon Basin using remotely sensed data. It is not clear which spectral wavelength bands have the best relationship with biomass values and what are the specific relationships between biomass and TM satellite radiance. The strategies in this research, based on analysis of detailed ground-based data and satellite TM image …

Identification Of Spatial And Temporal Patterns Of Secondary Succession Changes In Altamira, Brazil: Integrating Remote Sensing And Gis Technology, Hui Li

All-Inclusive List of Electronic Theses and Dissertations

There has been extensive use of remote sensing to study secondary succession of moist tropical forests in the Amazon Basin. However, scientists have not totally understood the dynamic processes of secondary succession of Amazon forests. A lack of consensus remains about what is the best approach for biomass estimation in the Amazon Basin using remotely sensed data. It is not clear which spectral wavelength bands have the best relationship with biomass values and what are the specific relationships between biomass and TM satellite radiance. The strategies in this research, based on analysis of detailed ground-based data and satellite TM image …

Spectral Response And Spatial Pattern Of Fraser Fir Mortality And Regeneration, Great Smoky Mountains, Usa, Thomas R. Allen

Political Science & Geography Faculty Publications

High elevation Fraser fir (Abies fraseri) forests of the Southern Appalachians have undergone widespread mortality since the introduction of the balsam woolly adelgid in the 1950s. Resulting changes in ecosystem pattern and process (e.g., stand dynamic processes) have greatly affected floral and faunal communities. In this project, we integrated field observations, geographic information system topographic models, and 1988–1998 satellite imagery to analyze spatial and temporal conditions of Fraser fir and spruce-fir ecosystems in Great Smoky Mountains National Park. Tasseled cap indices (brightness, greenness, and wetness) and associated spectral changes for Landsat TM digital data were statistically modeled by …

Estimation Of Forest Stand Parameters And Application In Classification And Change Detection Of Forest Cover Types In The Brazilian Amazon Basin, Dengsheng Lu

All-Inclusive List of Electronic Theses and Dissertations

This research focuses on measurement of forest stand parameters using remote sensing which is applied to classification and change detection of tropical successional and mature forests in selected areas in the Brazilian Amazon Basin. Three study areas, Altamira, Bragantina, and Pedras, each with different biophysical environments, were selected for this research. Previous research has indicated that relationships between selected stand parameters and remotely sensed data are not clearly understood, especially in tropical areas. Rarely has remote sensing research been successfully conducted in quantitative estimation of forest stand parameters (e.g. biomass) and identification of vegetation growth stages. In this research, atmospherically …

Tiger Restoration In Asia: Ecological Theory Vs. Sociological Reality, Ronald Tilson, Philip J. Nyhus, Neil Franklin

Faculty Scholarship

No abstract provided.

Method To Predict The Potential Regional Long-Term Timber Supply Using Gis And Other Publicly Available Data, Jeffery Earl, Richard A. Kluender, Robert Brewington

Journal of the Arkansas Academy of Science

While the global demand for wood products is on the rise, timber production has shifted from the Pacific Northwest to the southeastern United States in recent times. The increase in harvesting makes accurate assessment of the South's wood supply essential. Anew method is proposed for looking at the potential supply of raw woody material. The test area was three southeastern Arkansas counties. A geographic information system (GIS) using ArcView software incorporates two sources of public information. First, Forest Inventory and Analysis (FIA) data from the USDA Forest Service were queried to find land areas and volumes by timber type, as …

A Spatial And Temporal Analysis Of Riparian Vegetation Along Satus Creek On The Yakama Indian Reservation, Kathryn Gellenbeck

All Master's Theses

Satus Creek provides critical habitat for the Yakima River Basin steelhead. A diverse community of riparian vegetation is important for healthy fish habitat; vegetation changes can affect shade, cover, channel structure, water quality, and food availability. The purpose of this thesis is to analyze and illustrate riparian vegetation change, both temporally and spatially, along three separate reaches of Satus Creek. A Geographic Information Systems approach was applied to assess the vegetation change by comparing plant species composition and density on 1949 and 1995 aerial photographs. The GIS approach allowed patterns and trends in the vegetation to be identified. In less …

Assessing The Cost Of Best Management Practices In Arkansas, Richard A. Kluender, Robert C. Weih Jr., M. Corrigan, J. Pickett

Journal of the Arkansas Academy of Science

A geographic information system (GIS) is a set of powerful, computer-based, analytical algorithms for solving spatial data problems. Recently, due to increases in memory size, computing speed, and programming advances, personal computers have been used in spatial analysis problems. This study reports the benefits of using a PC-based GIS system to solve a common, but complicated problem in forest management: assignment of harvesting areas with harvesting exclusion zones. Two stands each from the USDA Crossett Experimental Forest, the University of Arkansas Forest, and the Ouachita National Forest (total six) were analyzed to determine the changes due to following best management …

Integrating Gis And Remote Sensing With Ecosystem Research, Suzanne Wiley, Robert C. Weih Jr.

Journal of the Arkansas Academy of Science

In the Phase II Ecosystem Management Research Program in the Ouachita and Ozark National Forests, an interdisciplinary group of scientists are evaluating the effects and trade-offs of partial cutting methods in a replicated stand level study. Information from approximately 2,000 plots is being collected by more than fifty researchers during this five-year project with plans to continue data collection long term. To evaluate the effects of different management strategies and their interactions with forest resources, data must be brought into a common format and made available to all researchers. To this end, a data support system was developed which utilizes …

Regional Variation In Temperature Humidity Index For Poultry Housing, Richard S. Gates, Hanzhong Zhang, Donald G. Colliver, Douglas G. Overhults

Biosystems and Agricultural Engineering Faculty Publications

A building thermal model was used to compute hourly values of temperature humidity index (THI) for a broiler house with and without an evaporative misting system. Hourly summer time weather data for 238 U.S.A. locations covering 30 years were used to develop extreme occurrences of THI. Results were incorporated into a Geographical Information System (GIS) database to create isolines of THI and percentage of hours exceeding a heat stress threshold. Regional variations in misting as a suitable cooling technique are presented in terms of hours reduction in annual heat stress. The technique may be used for assisting in management decisions …

Classification System For The Natural Vegetation Of Arkansas, Thomas L. Foti, Martin Blaney, Xiaojun Li, Kimberly G. Smith

Journal of the Arkansas Academy of Science

We present a hierarchical classification system for existing natural vegetation of Arkansas based on the United Nations Educational, Scientific and Cultural Organization (UNESCO) system. It incorporates aspects of systems in use by the Nature Conservancy, Arkansas Natural Heritage Commission, Arkansas Game and Fish Commission, Society of American Foresters, and United States Forest Service, as well as data on potential vegetation from maps by E.E. Dale and A.W. Kuchler. A total of 18 physiognomic cover types are recognized for natural terrestrial cover, 6 for palustrine cover, and 4 each for lacustrine cover and riverine cover. Over 200 community types are recognized, …

Modelling Avian Distributions Of The Navarrese Region In Northern Spain With A Geographic Information System, Samuel Soret-Garcia

Loma Linda University Electronic Theses, Dissertations & Projects

GIS (Geographic information Systems) technology was used for identifying relations between environmental characteristics and the breeding distributions of nine avian species of the Navarrese region in northern Spain. Data overlays of multiple GIS layers derived the explanatory variables for modelling the breeding distributions from logistic regressions. A spatial autocorrelation analysis was conducted to characterize the distribution patterns and to incorporate spatial factors (neighborhood effects) into their analysis.

All nine patterns analyzed exhibited a high level of spatial autocorrelation. Accordingly, the basic hypothesis of spatial randomness was rejected in favor of spatial clustering for the sample data. The breeding distributions strongly …

Postfire Vegetation Change Detection Using Landsat Mss And Tm Data, Mark Edward Jakubauskas

All-Inclusive List of Electronic Theses and Dissertations

Three dates of Landsat digital data were classified and then analyzed using a geographic information system (GIS). The intent of this study was to determine if differences in burn severity relate to later vegetative cover within a northern pines forest. The May 5, 1980, Mack Lake Fire in the Huron National Forest, Michigan, was selected as the study site for this research. This wildfire burned over 9000 hectares of jack pine, red pine, and mixed deciduous forest within a six-hour period. Landsat MSS data from June 1973 and TM data from October 1982 were classified using an unsupervised approach to …