Forrest R Stevens
Datos Biográficos
| ID | 365293 |
|---|---|
| NOMBRE | Forrest R Stevens |
| NOMBRES | Forrest R |
| APELLIDO | Stevens |
| FIRMA | STEVENS F R |
| AFILIACIONES | University of Louisville |
| ORCID | 0000-0002-9328-3753 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 22 |
| TOTAL DE CITAS | 53 |
| TOTAL COMO AUTOR | 22 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2014 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2025 |
| ÍNDICE H | 3 |
Unpacking Natural Resource Reliance and Poverty in Northern Botswana
Rural migration under climate and land systems change
Assessing long-term conservation impacts on adaptive capacity in a flagship community-based natural resources management area in Botswana
Over the past three decades community-based natural resources management (CBNRM) has sought to address the concurrent needs of economic development and ecological protection at the local level, but there is often strong divergence between development and conservation interests and successes. In particular, CBNRM has not always led to expected socioeconomic outcomes, while information of its impact on human well-being at household level is sparse.…
Improving the accuracy of gridded population estimates in cities and slums to monitor SDG 11
Shedding Light on Agricultural Transitions, Dragon Fruit Cultivation, and Electrification in Southern Vietnam Using Mixed Methods
Agricultural transition represents an essential component of land use and land cover change in countries across the world, as economic and social factors pressure agriculturalists out of traditional subsistence farming into commodity production. Modernization has altered modes of income, land ownership, and livelihood in Southeast Asia drastically in recent years. The Bình Thuận Province of southern Vietnam experienced a particularly radical tran…
Measuring the contribution of built-settlement data to global population mapping
Top-down population modelling has gained applied prominence in public health, planning, and sustainability applications at the global scale. These top-down population modelling methods often rely on remote-sensing (RS) derived representation of the built-environment and settlements as key predictive covariates. While these RS-derived data, which are global in extent, have become more advanced and more available, gaps in spatial and temporal cover…
Geospatial Management and Analysis of Microstructural Data from San Andreas Fault Observatory at Depth (Safod) Core Samples
Core samples obtained from scientific drilling could provide large volumes of direct microstructural and compositional data, but generating results via the traditional treatment of such data is often time-consuming and inefficient. Unifying microstructural data within a spatially referenced Geographic Information System (GIS) environment provides an opportunity to readily locate, visualize, correlate, and apply remote sensing techniques to the da…
Evaluating the Accuracy of Gridded Population Estimates in Slums
Low- and middle-income country cities face unprecedented urbanization and growth in slums. Gridded population data (e.g., ~100 × 100 m) derived from demographic and spatial data are a promising source of population estimates, but face limitations in slums due to the dynamic nature of this population as well as modelling assumptions. In this study, we compared field-referenced boundaries and population counts from Slum Dwellers International in La…
Annually modelling built-settlements between remotely-sensed observations using relative changes in subnational populations and lights at night
Mapping urban features/human built-settlement extents at the annual time step has a wide variety of applications in demography, public health, sustainable development, and many other fields. Recently, while more multitemporal urban features/human built-settlement datasets have become available, issues still exist in remotely-sensed imagery due to spatial and temporal coverage, adverse atmospheric conditions, and expenses involved in producing suc…
Mapping natural resource collection areas from household survey data in Southern Africa
Finding common ground
Wildfire is a growing threat in the western US, driven by high fuel loads, a warming climate, and rising human activity in the wildland urban interface. Diverse stakeholders must collaborate to mitigate risk and adapt to changing conditions. Communication strategies in collaborative efforts may be most effective if they align with local perspectives on wildfire and climate change. We investigate drivers of residents’ subjective perceptions regard…
Global spatio-temporally harmonised datasets for producing high-resolution gridded population distribution datasets
Multi-temporal, globally consistent, high-resolution human population datasets provide consistent and comparable population distributions in support of mapping sub-national heterogeneities in health, wealth, and resource access, and monitoring change in these over time. The production of more reliable and spatially detailed population datasets is increasingly necessary due to the importance of improving metrics at sub-national and multi-temporal …
The spatial allocation of population
Population data represent an essential component in studies focusing on human–nature interrelationships, disaster risk assessment and environmental health. Several recent efforts have produced global- and continental-extent gridded population data which are becoming increasingly popular among various research communities. However, these data products, which are of very different characteristics and based on different modeling assumptions, have ne…
Addressing Integration Challenges of Interdisciplinary Research in Social-Ecological Systems
Conducting research on coupled social-ecological systems (SESs) presents inherent challenges, such as coordination across disparate disciplines or integrating across multiple scales and levels of governance. To overcome these common challenges, we propose that structuring the research design itself according to SES principles provides for integrative execution of SES science. First, starting with pilot work, human and natural science researchers …
Missing millions
The measurement and characterization of urbanization crucially depends upon defining what counts as urban. The government of India estimates that only 31% of the population is urban. We show that this is an artifact of the definition of urbanity and an underestimate of the level of urbanization in India. We use a random forest-based model to create a high-resolution (~ 100 m) population grid from district-level data available from the Indian Cens…
People and Pixels 20 years later
Climate change beliefs and forest management in eastern Oregon
Boag, A. E., J. Hartter, L. C. Hamilton, N. D. Christoffersen, F. R. Stevens, M. W. Palace, and M. J. Ducey. 2018. Climate change beliefs and forest management in eastern Oregon: implications for individual adaptive capacity. Ecology and Society 23(4):1. https://doi.org/10.5751/ES-10355-230401
Shifting environmental concern in rural eastern Oregon
Disaggregating Census Data for Population Mapping Using Random Forests with Remotely-Sensed and Ancillary Data
High resolution, contemporary data on human population distributions are vital for measuring impacts of population growth, monitoring human-environment interactions and for planning and policy development. Many methods are used to disaggregate census data and predict population densities for finer scale, gridded population data sets. We present a new semi-automated dasymetric modeling approach that incorporates detailed census and ancillary data …
A new urban landscape in East–Southeast Asia, 2000–2010
East–Southeast Asia is currently one of the fastest urbanizing regions in the world, with countries such as China climbing from 20 to 50% urbanized in just a few decades. By 2050, these countries are projected to add 1 billion people, with 90% of that growth occurring in cities. This population shift parallels an equally astounding amount of built-up land expansion. However, spatially-and temporally-detailed information on regional-scale changes …
Dynamic population mapping using mobile phone data
Significance Knowing where people are is critical for accurate impact assessments and intervention planning, particularly those focused on population health, food security, climate change, conflicts, and natural disasters. This study demonstrates how data collected by mobile phone network operators can cost-effectively provide accurate and detailed maps of population distribution over national scales and any time period while guaranteeing phone u…
Rural Environmental Concern
The social bases of environmental concern in ruralAmerica resemble those for the nation as a whole, but also reflect the influence of place. Some general place characteristics, such as rates of population growth or resource-industry employment, predict responses across a number of environmental issues. Other unique or distinctive aspects of local society and environment matter as well. We extend earlier work on both kinds of place effects, first …
Rural Environmental Concern
The social bases of environmental concern in ruralAmerica resemble those for the nation as a whole, but also reflect the influence of place. Some general place characteristics, such as rates of population growth or resource-industry employment, predict responses across a number of environmental issues. Other unique or distinctive aspects of local society and environment matter as well. We extend earlier work on both kinds of place effects, first …
People and Pixels 20 years later
Evaluating the Accuracy of Gridded Population Estimates in Slums
Low- and middle-income country cities face unprecedented urbanization and growth in slums. Gridded population data (e.g., ~100 × 100 m) derived from demographic and spatial data are a promising source of population estimates, but face limitations in slums due to the dynamic nature of this population as well as modelling assumptions. In this study, we compared field-referenced boundaries and population counts from Slum Dwellers International in La…
Addressing Integration Challenges of Interdisciplinary Research in Social-Ecological Systems
Conducting research on coupled social-ecological systems (SESs) presents inherent challenges, such as coordination across disparate disciplines or integrating across multiple scales and levels of governance. To overcome these common challenges, we propose that structuring the research design itself according to SES principles provides for integrative execution of SES science. First, starting with pilot work, human and natural science researchers …
Rural migration under climate and land systems change
Improving the accuracy of gridded population estimates in cities and slums to monitor SDG 11
Missing millions
The measurement and characterization of urbanization crucially depends upon defining what counts as urban. The government of India estimates that only 31% of the population is urban. We show that this is an artifact of the definition of urbanity and an underestimate of the level of urbanization in India. We use a random forest-based model to create a high-resolution (~ 100 m) population grid from district-level data available from the Indian Cens…
Climate change beliefs and forest management in eastern Oregon
Boag, A. E., J. Hartter, L. C. Hamilton, N. D. Christoffersen, F. R. Stevens, M. W. Palace, and M. J. Ducey. 2018. Climate change beliefs and forest management in eastern Oregon: implications for individual adaptive capacity. Ecology and Society 23(4):1. https://doi.org/10.5751/ES-10355-230401
Shifting environmental concern in rural eastern Oregon
Dynamic population mapping using mobile phone data
Significance Knowing where people are is critical for accurate impact assessments and intervention planning, particularly those focused on population health, food security, climate change, conflicts, and natural disasters. This study demonstrates how data collected by mobile phone network operators can cost-effectively provide accurate and detailed maps of population distribution over national scales and any time period while guaranteeing phone u…
Rural Environmental Concern
The social bases of environmental concern in ruralAmerica resemble those for the nation as a whole, but also reflect the influence of place. Some general place characteristics, such as rates of population growth or resource-industry employment, predict responses across a number of environmental issues. Other unique or distinctive aspects of local society and environment matter as well. We extend earlier work on both kinds of place effects, first …
Disaggregating Census Data for Population Mapping Using Random Forests with Remotely-Sensed and Ancillary Data
High resolution, contemporary data on human population distributions are vital for measuring impacts of population growth, monitoring human-environment interactions and for planning and policy development. Many methods are used to disaggregate census data and predict population densities for finer scale, gridded population data sets. We present a new semi-automated dasymetric modeling approach that incorporates detailed census and ancillary data …
A new urban landscape in East–Southeast Asia, 2000–2010
East–Southeast Asia is currently one of the fastest urbanizing regions in the world, with countries such as China climbing from 20 to 50% urbanized in just a few decades. By 2050, these countries are projected to add 1 billion people, with 90% of that growth occurring in cities. This population shift parallels an equally astounding amount of built-up land expansion. However, spatially-and temporally-detailed information on regional-scale changes …
Shifting environmental concern in rural eastern Oregon
Climate change beliefs and forest management in eastern Oregon
Boag, A. E., J. Hartter, L. C. Hamilton, N. D. Christoffersen, F. R. Stevens, M. W. Palace, and M. J. Ducey. 2018. Climate change beliefs and forest management in eastern Oregon: implications for individual adaptive capacity. Ecology and Society 23(4):1. https://doi.org/10.5751/ES-10355-230401
Global spatio-temporally harmonised datasets for producing high-resolution gridded population distribution datasets
Multi-temporal, globally consistent, high-resolution human population datasets provide consistent and comparable population distributions in support of mapping sub-national heterogeneities in health, wealth, and resource access, and monitoring change in these over time. The production of more reliable and spatially detailed population datasets is increasingly necessary due to the importance of improving metrics at sub-national and multi-temporal …
The spatial allocation of population
Population data represent an essential component in studies focusing on human–nature interrelationships, disaster risk assessment and environmental health. Several recent efforts have produced global- and continental-extent gridded population data which are becoming increasingly popular among various research communities. However, these data products, which are of very different characteristics and based on different modeling assumptions, have ne…
Addressing Integration Challenges of Interdisciplinary Research in Social-Ecological Systems
Conducting research on coupled social-ecological systems (SESs) presents inherent challenges, such as coordination across disparate disciplines or integrating across multiple scales and levels of governance. To overcome these common challenges, we propose that structuring the research design itself according to SES principles provides for integrative execution of SES science. First, starting with pilot work, human and natural science researchers …
Missing millions
The measurement and characterization of urbanization crucially depends upon defining what counts as urban. The government of India estimates that only 31% of the population is urban. We show that this is an artifact of the definition of urbanity and an underestimate of the level of urbanization in India. We use a random forest-based model to create a high-resolution (~ 100 m) population grid from district-level data available from the Indian Cens…
People and Pixels 20 years later
Annually modelling built-settlements between remotely-sensed observations using relative changes in subnational populations and lights at night
Mapping urban features/human built-settlement extents at the annual time step has a wide variety of applications in demography, public health, sustainable development, and many other fields. Recently, while more multitemporal urban features/human built-settlement datasets have become available, issues still exist in remotely-sensed imagery due to spatial and temporal coverage, adverse atmospheric conditions, and expenses involved in producing suc…
Mapping natural resource collection areas from household survey data in Southern Africa
Finding common ground
Wildfire is a growing threat in the western US, driven by high fuel loads, a warming climate, and rising human activity in the wildland urban interface. Diverse stakeholders must collaborate to mitigate risk and adapt to changing conditions. Communication strategies in collaborative efforts may be most effective if they align with local perspectives on wildfire and climate change. We investigate drivers of residents’ subjective perceptions regard…
Measuring the contribution of built-settlement data to global population mapping
Top-down population modelling has gained applied prominence in public health, planning, and sustainability applications at the global scale. These top-down population modelling methods often rely on remote-sensing (RS) derived representation of the built-environment and settlements as key predictive covariates. While these RS-derived data, which are global in extent, have become more advanced and more available, gaps in spatial and temporal cover…
Geospatial Management and Analysis of Microstructural Data from San Andreas Fault Observatory at Depth (Safod) Core Samples
Core samples obtained from scientific drilling could provide large volumes of direct microstructural and compositional data, but generating results via the traditional treatment of such data is often time-consuming and inefficient. Unifying microstructural data within a spatially referenced Geographic Information System (GIS) environment provides an opportunity to readily locate, visualize, correlate, and apply remote sensing techniques to the da…
Evaluating the Accuracy of Gridded Population Estimates in Slums
Low- and middle-income country cities face unprecedented urbanization and growth in slums. Gridded population data (e.g., ~100 × 100 m) derived from demographic and spatial data are a promising source of population estimates, but face limitations in slums due to the dynamic nature of this population as well as modelling assumptions. In this study, we compared field-referenced boundaries and population counts from Slum Dwellers International in La…
Improving the accuracy of gridded population estimates in cities and slums to monitor SDG 11
Shedding Light on Agricultural Transitions, Dragon Fruit Cultivation, and Electrification in Southern Vietnam Using Mixed Methods
Agricultural transition represents an essential component of land use and land cover change in countries across the world, as economic and social factors pressure agriculturalists out of traditional subsistence farming into commodity production. Modernization has altered modes of income, land ownership, and livelihood in Southeast Asia drastically in recent years. The Bình Thuận Province of southern Vietnam experienced a particularly radical tran…
Assessing long-term conservation impacts on adaptive capacity in a flagship community-based natural resources management area in Botswana
Over the past three decades community-based natural resources management (CBNRM) has sought to address the concurrent needs of economic development and ecological protection at the local level, but there is often strong divergence between development and conservation interests and successes. In particular, CBNRM has not always led to expected socioeconomic outcomes, while information of its impact on human well-being at household level is sparse.…
Rural migration under climate and land systems change
Unpacking Natural Resource Reliance and Poverty in Northern Botswana
Geography (20 obras) · Impact of Light on Environment and Health (12 obras) · Population (12 obras) · Environmental resource management (11 obras) · Computer Science (10 obras) · Ecology (9 obras) · Environmental Science (9 obras) · Land Use and Ecosystem Services (9 obras) · Economics (8 obras) · Human Mobility and Location-Based Analysis (7 obras)