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Full-Text Articles in Social and Behavioral Sciences

Benefit Sharing In The Arctic: A Systematic View, Andrey Petrov, Maria S. Tysiachniouk Sep 2019

Benefit Sharing In The Arctic: A Systematic View, Andrey Petrov, Maria S. Tysiachniouk

Faculty Publications

Benefit sharing is a key concept for sustainable development in communities affected by the extractive industry. In the Arctic, where extractive activities have been growing, a comprehensive and systematic understanding of benefit sharing frameworks is especially critical. The goal of this paper is to develop a synthesis and advance the theory of benefit sharing frameworks in the Arctic. Based on previously published research, a review of literature, a desktop analysis of national legislation, as well as by capitalizing on the original case studies, this paper analyzes benefit sharing arrangements and develops the typology of benefit sharing regimes in the Arctic ...


Monitoring 40-Year Lake Area Changes Of The Qaidam Basin, Tibetan Plateau, Using Landsat Time Series, Huiying Li, Dehua Mao, Xiaoyan Li, Zongming Wang, Cuizhen Wang Feb 2019

Monitoring 40-Year Lake Area Changes Of The Qaidam Basin, Tibetan Plateau, Using Landsat Time Series, Huiying Li, Dehua Mao, Xiaoyan Li, Zongming Wang, Cuizhen Wang

Faculty Publications

Areal changes of high-altitude inland lakes on the Qaidam Basin (QB) of the Tibetan Plateau are reliable indicators of climate change and anthropogenic disturbance. Due to the physical difficulties to access, our knowledge of the spatial patterns and processes of climatic and human impacts on the Basin has been limited. Focusing on lake area changes, this study used long-term Landsat images to map the patterns of lakes and glaciers in 1977, 1990, 2000, and 2015, and to monitor the spatially explicit changes of lakes between 1977 and 2015. Results revealed that the total number of lakes (area > 0.5 km2 ...


Mapping Soil Alkalinity And Salinity In Northern Songnen Plain, China With The Hj-1 Hyperspectral Imager Data And Partial Least Squares Regression, Lin Bai, Cuizhen Wang, Shuying Zang, Changshan Wu, Jinming Luo, Yuexiang Wu Nov 2018

Mapping Soil Alkalinity And Salinity In Northern Songnen Plain, China With The Hj-1 Hyperspectral Imager Data And Partial Least Squares Regression, Lin Bai, Cuizhen Wang, Shuying Zang, Changshan Wu, Jinming Luo, Yuexiang Wu

Faculty Publications

In arid and semi-arid regions, identifying and monitoring of soil alkalinity and salinity are in urgently need for preventing land degradation and maintaining ecological balances. In this study, physicochemical, statistical, and spectral analysis revealed that potential of hydrogen (pH) and electrical conductivity (EC) characterized the saline-alkali soils and were sensitive to the visible and near infrared (VIS-NIR) wavelengths. On the basis of soil pH, EC, and spectral data, the partial least squares regression (PLSR) models for estimating soil alkalinity and salinity were constructed. The R2 values for soil pH and EC models were 0.77 and 0.48, and ...


Prediction Of Soil Formation As A Function Of Age Using The Percolation Theory Approach, Markus Egli, Allen G. Hunt, Dennis Dahms, Gerald Raab, Curdin Derungs, Salvatore Raimondi, Fang Yu Sep 2018

Prediction Of Soil Formation As A Function Of Age Using The Percolation Theory Approach, Markus Egli, Allen G. Hunt, Dennis Dahms, Gerald Raab, Curdin Derungs, Salvatore Raimondi, Fang Yu

Faculty Publications

Recent modeling and comparison with field results showed that soil formation by chemical weathering, either from bedrock or unconsolidated material, is limited largely by solute transport. Chemical weathering rates are proportional to solute velocities. Nonreactive solute transport described by non-Gaussian transport theory appears compatible with soil formation rates. This change in understanding opens new possibilities for predicting soil production and depth across orders of magnitude of time scales. Percolation theory for modeling the evolution of soil depth and production was applied to new and published data for alpine and Mediterranean soils. The first goal was to check whether the empirical ...


Impacts Of Agricultural Expansion (1910s-2010s) On Water Cycle In The Songneng Plain, Northeast China, Lijuan Zhang, Cuizhen Wang, Xiaxiang Li, Hongwen Zhang, Wenliang Li, Lanqi Jiang Jul 2018

Impacts Of Agricultural Expansion (1910s-2010s) On Water Cycle In The Songneng Plain, Northeast China, Lijuan Zhang, Cuizhen Wang, Xiaxiang Li, Hongwen Zhang, Wenliang Li, Lanqi Jiang

Faculty Publications

Agricultural expansion is one of the primary land use changes on the Earth’s surface. The Songnen Plain in Northeast China is renowned for its Black Soil and is one of the most important agricultural regions of this country. In the last century, its population increased 20-fold and excessive areas of grassland were cultivated. Based on a series of decadal land use/land cover data sets in the plain (1910s–2010s), this study simulated the water balance in each decade using the Weather Research and Forecasting (WRF) model and assessed the water effects of centurial agricultural expansion. Six variables were ...


Spatial Assessment Of Water Quality With Urbanization In 2007-2015, Shanghai, China, Huixuan Li, Cuizhen Wang, Xiao Huang, Andrew Hug Jun 2018

Spatial Assessment Of Water Quality With Urbanization In 2007-2015, Shanghai, China, Huixuan Li, Cuizhen Wang, Xiao Huang, Andrew Hug

Faculty Publications

Shanghai, as one of the megacities and economic centers of China, is facing critical water quality challenges. This study analyzed the impact of urbanization on the water quality in Shanghai, from 2007 to 2015, using remote sensing (RS) and geographic information system (GIS) techniques. Five measurements of water quality were employed: total discharged wastewater volume, general water quality levels, dissolved oxygen (DO), permanganate, and ammonia nitrogen. The impacts of urban land-use changes on water quality were examined. An urban index was extracted from satellite image classification and was used to quantify the anthropogenic activities. In the watershed level, unit watersheds ...


Assessing Relevance Of Tweets For Risk Communication, Xiaohui Liu, Bandana Kar, Chaoyang Zhang, David M. Cochran Jun 2018

Assessing Relevance Of Tweets For Risk Communication, Xiaohui Liu, Bandana Kar, Chaoyang Zhang, David M. Cochran

Faculty Publications

Although Twitter is used for emergency management activities, the relevance of tweets during a hazard event is still open to debate. In this study, six different computational (i.e. Natural Language Processing) and spatiotemporal analytical approaches were implemented to assess the relevance of risk information extracted from tweets obtained during the 2013 Colorado flood event. Primarily, tweets containing information about the flooding events and its impacts were analysed. Examination of the relationships between tweet volume and its content with precipitation amount, damage extent, and official reports revealed that relevant tweets provided information about the event and its impacts rather than ...


Remote Sensing Of Soil Alkalinity And Salinity In The Wuyu’Er-Shuangyang River Basin, Northeast China, Lin Bai, Cuizhen Wang, Shuying Zang, Yuhong Zhang, Qiannan Hao, Yuexiang Wu Feb 2018

Remote Sensing Of Soil Alkalinity And Salinity In The Wuyu’Er-Shuangyang River Basin, Northeast China, Lin Bai, Cuizhen Wang, Shuying Zang, Yuhong Zhang, Qiannan Hao, Yuexiang Wu

Faculty Publications

The Songnen Plain of the Northeast China is one of the three largest soda saline-alkali regions worldwide. To better understand soil alkalinization and salinization in this important agricultural region, it is vital to explore the distribution and variation of soil alkalinity and salinity in space and time. This study examined soil properties and identified the variables to extract soil alkalinity and salinity via physico-chemical, statistical, spectral, and image analysis. The physico-chemical and statistical results suggested that alkaline soils, coming from the main solute Na2CO3 and NaHCO3 in parent rocks, characterized the study area. The pH and ...


Social Medicine And International Expert Networks In Latin America, 1930–1945, Eric D. Carter Jan 2018

Social Medicine And International Expert Networks In Latin America, 1930–1945, Eric D. Carter

Faculty Publications

This paper examines the international networks that influenced ideas and policy in social medicine in the 1930s and 1940s in Latin America, focusing on institutional networks organised by the League of Nations Health Organization, the International Labour Organization, and the Pan-American Sanitary Bureau. After examining the architecture of these networks, this paper traces their influence on social and health policy in two policy domains: social security and nutrition. Closer scrutiny of a series of international conferences and local media accounts of them reveals that international networks were not just ‘conveyor belts’ for policy ideas from the industrialised countries of the ...


Sustaining Suburbia Through New Urbanism: Toward Growing, Green, And Just Suburbs?, Dan Trudeau Jan 2018

Sustaining Suburbia Through New Urbanism: Toward Growing, Green, And Just Suburbs?, Dan Trudeau

Faculty Publications

This article examines the governance dynamics surrounding the development of sustainable neighborhoods in United States metropolitan contexts characterized as suburban sprawl. Drawing on original case study research of three distinct applications of New Urbanism design principles, the article argues for understanding the relative power of municipal authorities to incorporate social justice imperatives into the practice of sustainable development in suburban contexts. Moreover, key to prioritizing social imperatives is the way in which development processes respond to the “suburban ideal”, which is a view of suburbs as an exclusive bourgeois utopia that constrains the ability to connect so-called sustainable development with ...


Book Review Of Humboldt's Mexico: In The Footsteps Of The Illustrious German Scientific Traveller, By Myron Echenberg, Andrew Sluyter Jan 2018

Book Review Of Humboldt's Mexico: In The Footsteps Of The Illustrious German Scientific Traveller, By Myron Echenberg, Andrew Sluyter

Faculty Publications

No abstract provided.


Book Review Of Cattle In The Backlands: Mato Grosso And The Evolution Of Ranching In The Brazilian Tropics, By Robert W. Wilcox., Andrew Sluyter Jan 2018

Book Review Of Cattle In The Backlands: Mato Grosso And The Evolution Of Ranching In The Brazilian Tropics, By Robert W. Wilcox., Andrew Sluyter

Faculty Publications

No abstract provided.


Challenges Of Elephant Conservation: Insights From Oral Histories Of Colonialism And Landscape In Tsavo, Kenya, Peter Ngugi Kamau, Andrew Sluyter Jan 2018

Challenges Of Elephant Conservation: Insights From Oral Histories Of Colonialism And Landscape In Tsavo, Kenya, Peter Ngugi Kamau, Andrew Sluyter

Faculty Publications

No abstract provided.


Conceived Versus Lived Social Spaces And The Transformation Of The Morro Da Providência Favela Of Rio De Janeiro Since 2008, Jamie Worms, Andrew Sluyter Jan 2018

Conceived Versus Lived Social Spaces And The Transformation Of The Morro Da Providência Favela Of Rio De Janeiro Since 2008, Jamie Worms, Andrew Sluyter

Faculty Publications

No abstract provided.


The Political Biogeography Of Migratory Marine Predators, Autumn-Lynn Harrison, Daniel Costa, Arliss Winship, Scott Benson, Steven Bograd, Michelle Antolos, Aaron Carlisle, Heidi Dewar, Peter Dutton, Salvador Jorgensen, Suzanne Kohin, Bruce Mate, Patrick Robinson, Kurt Schaefer, Scott A. Shaffer, George Shillinger, Samantha Simmons, Kevin Weng, Kristina Gjerde, Barbara Block Jan 2018

The Political Biogeography Of Migratory Marine Predators, Autumn-Lynn Harrison, Daniel Costa, Arliss Winship, Scott Benson, Steven Bograd, Michelle Antolos, Aaron Carlisle, Heidi Dewar, Peter Dutton, Salvador Jorgensen, Suzanne Kohin, Bruce Mate, Patrick Robinson, Kurt Schaefer, Scott A. Shaffer, George Shillinger, Samantha Simmons, Kevin Weng, Kristina Gjerde, Barbara Block

Faculty Publications

During their migrations, marine predators experience varying levels of protection and face many threats as they travel through multiple countries’ jurisdictions and across ocean basins. Some populations are declining rapidly. Contributing to such declines is a failure of some international agreements to ensure effective cooperation by the stakeholders responsible for managing species throughout their ranges, including in the high seas, a global commons. Here we use biologging data from marine predators to provide quantitative measures with great potential to inform local, national and international management efforts in the Pacific Ocean. We synthesized a large tracking data set to show how ...


Accuracy Of Unmanned Aerial System (Drone) Height Measurements, Daniel Unger, I-Kuai Hung, David Kulhavy, Yanli Zhang, Kai Busch-Peterson Jan 2018

Accuracy Of Unmanned Aerial System (Drone) Height Measurements, Daniel Unger, I-Kuai Hung, David Kulhavy, Yanli Zhang, Kai Busch-Peterson

Faculty Publications

Vertical height estimates of earth surface features using an Unmanned Aerial System (UAS) are important in natural resource management quantitative assessments. An important research question concerns both the accuracy and precision of vertical height estimates acquired with a UAS and to determine if it is necessary to land a UAS between individual height measurements or if GPS derived height versus barometric pressure derived height while using a DJI Phantom 3 would affect height accuracy and precision. To examine this question, height along a telescopic height pole on the campus of Stephen F. Austin State University (SFASU) were estimated at 2 ...


Student Led Campus Desire Path Evaluation Using Pictometry® Neighborhood Imagery, David Kulhavy, Daniel Unger, I-Kuai Hung Jan 2018

Student Led Campus Desire Path Evaluation Using Pictometry® Neighborhood Imagery, David Kulhavy, Daniel Unger, I-Kuai Hung

Faculty Publications

A student led evaluation of desire paths (e.g., paths created by pedestrians on an open landscape) across the Stephen F. Austin State University (SFASU) campus was performed within a senior level spatial science course in order to create a method for mitigation of desire paths and for campus beautification. Each desire path on campus was identified with the length of each path measured in the field and categorized by the condition of the path in order to assess and determine a necessary solution for each path identified. In addition, Pictometry® high spatial resolution digital imagery was used to determine ...


Integrating Unmanned Aircraft Systems To Measure Linear And Areal Features Into Undergraduate Forestry Education, Reid Viegut, David Kulhavy, Daniel Unger, I-Kuai Hung, Brian Humphreys Jan 2018

Integrating Unmanned Aircraft Systems To Measure Linear And Areal Features Into Undergraduate Forestry Education, Reid Viegut, David Kulhavy, Daniel Unger, I-Kuai Hung, Brian Humphreys

Faculty Publications

The use of Unmanned Aircraft Systems (UAS) in undergraduate forestry education continues to expand and develop. Accuracy of data collection is an important aspect of preparation for "society-ready" foresters to meet the complex sustainable environment managing for ecological, social and economic interests. Hands-on use of a DJI Phantom 4 Pro UAS by undergraduates to measure the length and area of 30 linear features and areal features on Earth's surface were estimated. These measurements were compared (measured within the ArcMap 10.5.2 interface) to hyperspectral Pictometry imagery measured on the web-based interface and the Google Earth Pro interface. Each ...


A Modified Normalized Difference Impervious Surface Index (Mndisi) For Automatic Urban Mapping From Landsat Imagery, Zhongchang Sun, Cuizhen Wang, Huadong Guo, Ranran Shang Sep 2017

A Modified Normalized Difference Impervious Surface Index (Mndisi) For Automatic Urban Mapping From Landsat Imagery, Zhongchang Sun, Cuizhen Wang, Huadong Guo, Ranran Shang

Faculty Publications

Impervious surface area (ISA) is a key factor for monitoring urban environment and land development. Automatic mapping of impervious surfaces has attracted growing attention in recent years. Spectral built-up indices are considered promising to map ISA distributions due to their easy, parameter-free implementations. This study explores the potentials of impervious surface indices for ISA mapping from Landsat imagery using a case study area in Boston, USA. A modified normalized difference impervious surface index (MNDISI) is proposed, and a Gaussian-based automatic threshold selection method is used to identify the optimal MNDISI threshold for delineating impervious surfaces from background features. To evaluate ...


Methods For Real-Time Prediction Of The Mode Of Travel Using Smartphone-Based Gps And Accelerometer Data, Bryan D. Martin, Vittorio Addona, Julian Wolfson, Gediminas Adomavicius, Yingling Fan Sep 2017

Methods For Real-Time Prediction Of The Mode Of Travel Using Smartphone-Based Gps And Accelerometer Data, Bryan D. Martin, Vittorio Addona, Julian Wolfson, Gediminas Adomavicius, Yingling Fan

Faculty Publications

We propose and compare combinations of several methods for classifying transportation activity data from smartphone GPS and accelerometer sensors. We have two main objectives. First, we aim to classify our data as accurately as possible. Second, we aim to reduce the dimensionality of the data as much as possible in order to reduce the computational burden of the classification. We combine dimension reduction and classification algorithms and compare them with a metric that balances accuracy and dimensionality. In doing so, we develop a classification algorithm that accurately classifies five different modes of transportation (i.e., walking, biking, car, bus and ...


Some Hispanic And Latino Landscapes Of New Orleans, Andrew Sluyter Aug 2017

Some Hispanic And Latino Landscapes Of New Orleans, Andrew Sluyter

Faculty Publications

No abstract provided.


Mapping Typical Urban Lulc From Landsat Imagery Without Training Samples Or Self-Defined Parameters, Hui Li, Cuizhen Wang, Cheng Zhong, Zhi Zhang, Qingbing Liu Jul 2017

Mapping Typical Urban Lulc From Landsat Imagery Without Training Samples Or Self-Defined Parameters, Hui Li, Cuizhen Wang, Cheng Zhong, Zhi Zhang, Qingbing Liu

Faculty Publications

Land use/land cover (LULC) change is one of the most important indicators in understanding the interactions between humans and the environment. Traditionally, when LULC maps are produced yearly, most existing remote-sensing methods have to collect ground reference data annually, as the classifiers have to be trained individually in each corresponding year. This study presented a novel strategy to map LULC classes without training samples or assigning parameters. First of all, several novel indices were carefully selected from the index pool, which were able to highlight certain LULC very well. Following this, a common unsupervised classifier was employed to extract ...


Assessing Re-Composition Of Xing’An Larch In Boreal Forests After The 1987 Fire, Northeast China, Junjie Wang, Cuizhen Wang, Shuying Zang May 2017

Assessing Re-Composition Of Xing’An Larch In Boreal Forests After The 1987 Fire, Northeast China, Junjie Wang, Cuizhen Wang, Shuying Zang

Faculty Publications

Xing’an larch, a deciduous coniferous species, is the zonal tree of the Greater Xing’an Mountains in Northeast China. In May 1987, a catastrophic fire broke out in the mountains and burned 1.3 million hectares of forests in 26 days. While studies have shown that forest greenness has come back to normal in certain years, the re-composition of this zonal species has not been studied after the 1987 fire. With a series of Landsat 8 OLI images acquired in 2013–2015, this study builds the Normalized Difference Vegetation Index (NDVI) and Green Vegetation Index (GVI) time series in ...


Digital Hegemonies: The Localness Of Search Engine Results, Andrea Ballatore, Mark Graham, Shilad Sen May 2017

Digital Hegemonies: The Localness Of Search Engine Results, Andrea Ballatore, Mark Graham, Shilad Sen

Faculty Publications

Every day, billions of Internet users rely on search engines to find information about places to make decisions about tourism, shopping, and countless other economic activities. In an opaque process, search engines assemble digital content produced in a variety of locations around the world and make it available to large cohorts of consumers. Although these representations of place are increasingly important and consequential, little is known about their characteristics and possible biases. Analyzing a corpus of Google search results generated for 188 capital cities, this article investigates the geographic dimension of search results, focusing on searches such as “Lagos” and ...


Mapping Urban Bare Land Automatically From Landsat Imagery With A Simple Index, Hui Li, Cuizhen Wang, Cheng Zhong, Aijun Su, Chengren Xiong, Jinge Wang, Junqi Liu Mar 2017

Mapping Urban Bare Land Automatically From Landsat Imagery With A Simple Index, Hui Li, Cuizhen Wang, Cheng Zhong, Aijun Su, Chengren Xiong, Jinge Wang, Junqi Liu

Faculty Publications

In recent years, hundreds of Earth observation satellites have been launched to collect massive amounts of remote sensing images. However, the considerable cost and time to process the significant amount of data have become the greatest obstacle between data and knowledge. In order to accelerate the transformation from remote sensing images to urban thematic maps, a strategy to map the bare land automatically from Landsat imagery was developed and assessed in this study. First, a normalized difference bare land index (NBLI) was presented to maximally differentiate bare land from other land types in Wuhan City, China. Then, an unsupervised classifier ...


Failure Matters: Reassembling Eco-Urbanism In A Globalizing China, I-Chun Catherine Chang Jan 2017

Failure Matters: Reassembling Eco-Urbanism In A Globalizing China, I-Chun Catherine Chang

Faculty Publications

No abstract provided.


Spring Temperature Variability Over Turkey Since 1800 Ce Reconstructed From A Broad Network Of Tree-Ring Data, Nesibe Köse, H. Tuncay Güner, Grant L. Harley, Joel Guiot Jan 2017

Spring Temperature Variability Over Turkey Since 1800 Ce Reconstructed From A Broad Network Of Tree-Ring Data, Nesibe Köse, H. Tuncay Güner, Grant L. Harley, Joel Guiot

Faculty Publications

The meteorological observational period in Turkey, which starts ca. 1930 CE, is too short for understanding long-term climatic variability. Tree rings have been used intensively as proxy records to understand summer precipitation history of the region, primarily because they have a dominant precipitation signal. Yet, the historical context of temperature variability is unclear. Here, we used higher-order principle components of a network of 23 tree-ring chronologies to provide a high-resolution spring (March–April) temperature reconstruction over Turkey during the period 1800– 2002. The reconstruction model accounted for 67 % (Adj. R 2 = 0.64, p < 0.0001) of the instrumental temperature variance over the full calibration period (1930–2002). The reconstruction is punctuated by a temperature increase during the 20th century; yet extreme cold and warm events during the 19th century seem to eclipse conditions during the 20th century. We found significant correlations between our March–April spring temperature reconstruction and existing gridded spring temperature reconstructions for Europe over Turkey and southeastern Europe. Moreover, the precipitation signal obtained from the tree-ring network (first principle component) showed highly significant correlations with gridded summer drought index reconstruction over Turkey and Mediterranean countries. Our results showed that, beside the dominant precipitation signal, a temperature signal can be extracted from tree-ring series and they can be useful proxies in reconstructing past temperature variability.


Review Of Rice: Global Networks And New Histories, Ed. By Francesca Bray, Peter A. Coclanis, Edda L. Fields-Black, And Dagmar Schäfer, Andrew Sluyter Jan 2017

Review Of Rice: Global Networks And New Histories, Ed. By Francesca Bray, Peter A. Coclanis, Edda L. Fields-Black, And Dagmar Schäfer, Andrew Sluyter

Faculty Publications

No abstract provided.


Automatic Scaling Hadoop In The Cloud For Efficient Process Of Big Geospatial Data, Zhenlong Li, Chaoweikai Yang, Kai Liu, Fei Hu, Baoxuan Jin Sep 2016

Automatic Scaling Hadoop In The Cloud For Efficient Process Of Big Geospatial Data, Zhenlong Li, Chaoweikai Yang, Kai Liu, Fei Hu, Baoxuan Jin

Faculty Publications

Efficient processing of big geospatial data is crucial for tackling global and regional challenges such as climate change and natural disasters, but it is challenging not only due to the massive data volume but also due to the intrinsic complexity and high dimensions of the geospatial datasets. While traditional computing infrastructure does not scale well with the rapidly increasing data volume, Hadoop has attracted increasing attention in geoscience communities for handling big geospatial data. Recently, many studies were carried out to investigate adopting Hadoop for processing big geospatial data, but how to adjust the computing resources to efficiently handle the ...


The Use Of Aerial Rgb Imagery And Lidar In Comparing Ecological Habitats And Geomorphic Features On A Natural Versus Man-Made Barrier Island, Carlton P. Anderson, Gregory A. Carter, William R. Funderburk Jul 2016

The Use Of Aerial Rgb Imagery And Lidar In Comparing Ecological Habitats And Geomorphic Features On A Natural Versus Man-Made Barrier Island, Carlton P. Anderson, Gregory A. Carter, William R. Funderburk

Faculty Publications

The Mississippi (MS) barrier island chain along the northern Gulf of Mexico coastline is subject to rapid changes in habitat, geomorphology and elevation by natural and anthropogenic disturbances. The purpose of this study was to compare habitat type coverage with respective elevation, geomorphic features and short-term change between the naturally-formed East Ship Island and the man-made Sand Island. Ground surveys, multi-year remotely-sensed data, habitat classifications and digital elevation models were used to quantify short-term habitat and geomorphic change, as well as to examine the relationships between habitat types and micro-elevation. Habitat types and species composition were the same on both ...