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Social and Behavioral Sciences Commons™

Open Access. Powered by Scholars. Published by Universities.®

2021

Geography

Clark University

Articles 1 - 17 of 17

Full-Text Articles in Social and Behavioral Sciences

Modeling The Spatial Distribution Of The Current And Future Ecosystem Services Of Urban Tree Planting In Chicopee And Fall River, Massachusetts, R. Moody, N. Geron, M. Healy, J. Rogan, Deborah Martin Dec 2021

Modeling The Spatial Distribution Of The Current And Future Ecosystem Services Of Urban Tree Planting In Chicopee And Fall River, Massachusetts, R. Moody, N. Geron, M. Healy, J. Rogan, Deborah Martin

Geography

Mature urban tree canopy cover disrupts the local effects of urban heat islands and provides important ecosystem services such as energy savings through evaporation and shading, pollution removal, storm runoff control, and carbon sequestration. Sustainable urban tree canopy relies on the planting of juvenile trees. Typically, tree planting programs are only evaluated by the number of trees planted and there is a lack of analysis of juvenile trees post-planting. This study examines the value and distribution of energy savings provided by juvenile trees and how that value changes considering predicted tree growth and mortality by 2050. Using i-Tree Eco software, …

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Ecosystem Carbon Balance In The Hawaiian Islands Under Different Scenarios Of Future Climate And Land Use Change, Paul C. Selmants, Benjamin M. Sleeter, Jinxun Liu, Tamara S. Wilson, Clay Trauernicht, Abby G. Frazier, Gregory P. Asner Oct 2021

Ecosystem Carbon Balance In The Hawaiian Islands Under Different Scenarios Of Future Climate And Land Use Change, Paul C. Selmants, Benjamin M. Sleeter, Jinxun Liu, Tamara S. Wilson, Clay Trauernicht, Abby G. Frazier, Gregory P. Asner

Geography

The State of Hawai'i passed legislation to be carbon neutral by 2045, a goal that will partly depend on carbon sequestration by terrestrial ecosystems. However, there is considerable uncertainty surrounding the future direction and magnitude of the land carbon sink in the Hawaiian Islands. We used the Land Use and Carbon Scenario Simulator (LUCAS), a spatially explicit stochastic simulation model that integrates landscape change and carbon gain-loss, to assess how projected future changes in climate and land use will influence ecosystem carbon balance in the Hawaiian Islands under all combinations of two radiative forcing scenarios (RCPs 4.5 and 8.5) and …

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Contested Landscapes, Disputed Realities: An Investigation Of Socio-Environmental Conflict From Mining In Northern Ecuador: An Honors Thesis, Ian F. Hirons Jun 2021

Contested Landscapes, Disputed Realities: An Investigation Of Socio-Environmental Conflict From Mining In Northern Ecuador: An Honors Thesis, Ian F. Hirons

Student Works

For decades, Ecuador has been one of the preeminent petrostates in South America. However, in response to recent drops in global demand and pricing for oil products, the country has made serious commitments to further develop its mineral resources. By opening a new natural resource sector, Ecuador has firmly cemented itself as a primarily extractivist nation. In the process, the national government has frequently come into conflict with activist and community groups who protest the encroachment of extractive industry. This thesis explores the various dimensions of socio-environmental conflict created by large-scale mining projects in northern Ecuador with specific attention to …

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Ownership Is A Habit Of Mind: How Community Land Trusts Expose Key Consensual Fictions Of Urban Property, Deborah Martin Apr 2021

Ownership Is A Habit Of Mind: How Community Land Trusts Expose Key Consensual Fictions Of Urban Property, Deborah Martin

Geography

Community land trusts (“CLTs”) have garnered attention as a novel,
non-state organizational mechanism for enabling permanently
affordable homeownership. In canonical form, they separate
a home from the land upon which it sits, holding the land in trust
and selling the home for its value without the land. Additionally,
CLTs use ground lease restrictions to constrain the resale process
and enforce long-term reproduction of affordability. Herein, we
argue that given the “actually existing” character of CLT practices,
the legal vocabulary CLTs use is not most directly nor most accu-
rately descriptive. The nature of the present intervention is empha-
tically not …

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A Near-Real-Time Approach For Monitoring Forest Disturbance Using Landsat Time Series: Stochastic Continuous Change Detection, Su Ye, John Rogan, Zhe Zhu, J. Ronald Eastman Jan 2021

A Near-Real-Time Approach For Monitoring Forest Disturbance Using Landsat Time Series: Stochastic Continuous Change Detection, Su Ye, John Rogan, Zhe Zhu, J. Ronald Eastman

Geography

Forest disturbances greatly affect the ecological functioning of natural forests. Timely information regarding extent, timing and magnitude of forest disturbance events is crucial for effective disturbance management strategies. Yet, we still lack accurate, near-real-time and high-performance remote sensing tools for monitoring abrupt and subtle forest disturbances. This study presents a new approach called ‘Stochastic Continuous Change Detection (S-CCD)’ using a dense Landsat data time series. S-CCD improves upon the ‘COntinuous monitoring of Land Disturbance (COLD)’ approach by incorporating a mathematical tool called the ‘state space model’, which treats trends and seasonality as stochastic processes, allowing for modeling temporal dynamics of …

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Field-Scale Soil Moisture Bridges The Spatial-Scale Gap Between Drought Monitoring And Agricultural Yields, Noemi Vergopolan, Sitian Xiong, Lyndon Estes, Niko Wanders, Nathaniel W. Chaney, Eric F. Wood, Megan Konar, Kelly Caylor, Hylke E. Beck, Nicolas Gatti, Tom Evans, Justin Sheffield Jan 2021

Field-Scale Soil Moisture Bridges The Spatial-Scale Gap Between Drought Monitoring And Agricultural Yields, Noemi Vergopolan, Sitian Xiong, Lyndon Estes, Niko Wanders, Nathaniel W. Chaney, Eric F. Wood, Megan Konar, Kelly Caylor, Hylke E. Beck, Nicolas Gatti, Tom Evans, Justin Sheffield

Geography

Soil moisture is highly variable in space and time, and deficits (i.e., droughts) play an important role in modulating crop yields. Limited hydroclimate and yield data, however, hamper drought impact monitoring and assessment at the farm field scale. This study demonstrates the potential of using field-scale soil moisture simulations to support highresolution agricultural yield prediction and drought monitoring at the smallholder farm field scale. We present a multiscale modeling approach that combines HydroBlocks a physically based hyper-resolution land surface model (LSM) with machine learning. We used HydroBlocks to simulate root zone soil moisture and soil temperature in Zambia at 3 …

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Encoding A Categorical Independent Variable For Input To Terrset’S Multi-Layer Perceptron, Emily Evenden, Robert Gilmore Pontius Jan 2021

Encoding A Categorical Independent Variable For Input To Terrset’S Multi-Layer Perceptron, Emily Evenden, Robert Gilmore Pontius

Geography

The profession debates how to encode a categorical variable for input to machine learning algorithms, such as neural networks. A conventional approach is to convert a categorical variable into a collection of binary variables, which causes a burdensome number of correlated variables. TerrSet’s Land Change Modeler proposes encoding a categorical variable onto the continuous closed interval from 0 to 1 based on each category’s Population Evidence Likelihood (PEL) for input to the Multi-Layer Perceptron, which is a type of neural network. We designed examples to test the wisdom of these encodings. The results show that encoding a categorical variable based …

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Atmospheric Carbon And Transport – America (Act-America) Data Sets: Description, Management, And Delivery, Y. Wei, R. Shrestha, S. Pal, T. Gerken, S. Feng, J. Mcnelis, D. Singh, M. M. Thornton, A. G. Boyer, M. A. Shook, G. Chen, B. C. Baier, Z. R. Barkley, J. D. Barrick, J. R. Bennett, E. V. Browell, J. F. Campbell, L. J. Campbell, Y. Choi, J. Collins, J. Dobler, M. Eckl, A. Fiehn, A. Fried, J. P. Digangi, R. Barton-Grimley, H. Halliday, T. Klausner, S. Kooi, J. Kostinek, T. Lauvaux, B. Lin, Christopher A. Williams Jan 2021

Atmospheric Carbon And Transport – America (Act-America) Data Sets: Description, Management, And Delivery, Y. Wei, R. Shrestha, S. Pal, T. Gerken, S. Feng, J. Mcnelis, D. Singh, M. M. Thornton, A. G. Boyer, M. A. Shook, G. Chen, B. C. Baier, Z. R. Barkley, J. D. Barrick, J. R. Bennett, E. V. Browell, J. F. Campbell, L. J. Campbell, Y. Choi, J. Collins, J. Dobler, M. Eckl, A. Fiehn, A. Fried, J. P. Digangi, R. Barton-Grimley, H. Halliday, T. Klausner, S. Kooi, J. Kostinek, T. Lauvaux, B. Lin, Christopher A. Williams

Geography

The ACT-America project is a NASA Earth Venture Suborbital-2 mission designed to study the transport and fluxes of greenhouse gases. The open and freely available ACT-America data sets provide airborne in situ measurements of atmospheric carbon dioxide, methane, trace gases, aerosols, clouds, and meteorological properties, airborne remote sensing measurements of aerosol backscatter, atmospheric boundary layer height and columnar content of atmospheric carbon dioxide, tower-based measurements, and modeled atmospheric mole fractions and regional carbon fluxes of greenhouse gases over the Central and Eastern United States. We conducted 121 research flights during five campaigns in four seasons during 2016–2019 over three regions …

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The Atmospheric Carbon And Transport (Act)-America Mission, Kenneth J. Davis, Edward V. Browell, Sha Feng, Thomas Lauvaux, Michael D. Obland, Sandip Pal, Bianca C. Baier, David F. Baker, Ian T. Baker, Zachary R. Barkley, Kevin W. Bowman, Yu Yan Cui, A. Scott Denning, Joshua P. Digangi, Jeremy T. Dobler, Alan Fried, Tobias Gerken, Klaus Keller, Bing Lin, Amin R. Nehrir, Caroline P. Normile, Christopher W. O'Dell, Lesley E. Ott, Anke Roiger, Andrew E. Schuh, Colm Sweeney, Yaxing Wei, Brad Weir, Ming Xue, Christopher A. Williams Jan 2021

The Atmospheric Carbon And Transport (Act)-America Mission, Kenneth J. Davis, Edward V. Browell, Sha Feng, Thomas Lauvaux, Michael D. Obland, Sandip Pal, Bianca C. Baier, David F. Baker, Ian T. Baker, Zachary R. Barkley, Kevin W. Bowman, Yu Yan Cui, A. Scott Denning, Joshua P. Digangi, Jeremy T. Dobler, Alan Fried, Tobias Gerken, Klaus Keller, Bing Lin, Amin R. Nehrir, Caroline P. Normile, Christopher W. O'Dell, Lesley E. Ott, Anke Roiger, Andrew E. Schuh, Colm Sweeney, Yaxing Wei, Brad Weir, Ming Xue, Christopher A. Williams

Geography

The Atmospheric Carbon and Transport (ACT)-America NASA Earth Venture Suborbital Mission set out to improve regional atmospheric greenhouse gas (GHG) inversions by exploring the intersection of the strong GHG fluxes and vigorous atmospheric transport that occurs within the midlatitudes. Two research aircraft instrumented with remote and in situ sensors to measure GHG mole fractions, associated trace gases, and atmospheric state variables collected 1,140.7 flight hours of research data, distributed across 305 individual aircraft sorties, coordinated within 121 research flight days, and spanning five 6-week seasonal flight campaigns in the central and eastern United States. Flights sampled 31 synoptic sequences, including …

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Joint Co2 Mole Fraction And Flux Analysis Confirms Missing Processes In Casa Terrestrial Carbon Uptake Over North America, Sha Feng, Thomas Lauvaux, Christopher A. Williams, Kenneth J. Davis, Yu Zhou, Ian Baker, Zachary R. Barkley, Daniel Wesloh Jan 2021

Joint Co2 Mole Fraction And Flux Analysis Confirms Missing Processes In Casa Terrestrial Carbon Uptake Over North America, Sha Feng, Thomas Lauvaux, Christopher A. Williams, Kenneth J. Davis, Yu Zhou, Ian Baker, Zachary R. Barkley, Daniel Wesloh

Geography

Terrestrial biosphere models (TBMs) play a key role in the detection and attribution of carbon cycle processes at local to global scales and in projections of the coupled carbon-climate system. TBM evaluation commonly involves direct comparison to eddy-covariance flux measurements. We use atmospheric CO2 mole fraction ([CO2]) measured in situ from aircraft and tower, in addition to flux-measurements from summer 2016 to evaluate the Carnegie-Ames-Stanford-Approach (CASA) TBM. WRF-Chem is used to simulate [CO2] using biogenic CO2 fluxes from a CASA parameter-based ensemble and CarbonTracker version 2017 (CT2017) in addition to transport and CO2 boundary condition ensembles. The resulting “super ensemble” …

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Climate Impacts Of U.S. Forest Loss Span Net Warming To Net Cooling, Christopher A. Williams, Huan Gu, Tong Jiao Jan 2021

Climate Impacts Of U.S. Forest Loss Span Net Warming To Net Cooling, Christopher A. Williams, Huan Gu, Tong Jiao

Geography

Storing carbon in forests is a leading land-based strategy to curb anthropogenic climate change, but its planetary cooling effect is opposed by warming from low albedo. Using detailed geospatial data from Earth-observing satellites and the national forest inventory, we quantify the net climate effect of losing forest across the conterminous United States. We find that forest loss in the intermountain and Rocky Mountain West causes net planetary cooling but losses east of the Mississippi River and in Pacific Coast states tend toward net warming. Actual U.S. forest conversions from 1986 to 2000 cause net cooling for a decade but then …

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Natural Climate Solutions For Canada, C. Ronnie Drever, Susan C. Cook-Patton, Fardausi Akhter, Pascal H. Badiou, Gail L. Chmura, Scott J. Davidson, Raymond L. Desjardins, Andrew Dyk, Joseph E. Fargione, Max Fellows, Ben Filewod, Margot Hessing-Lewis, Susantha Jayasundara, William S. Keeton, Timm Kroeger, Tyler J. Lark, Edward Le, Sara M. Leavitt, Marie Eve Leclerc, Tony C. Lemprière, Juha Metsaranta, Brian Mcconkey, Eric Neilson, Guillaume Peterson St-Laurent, Danijela Puric-Mladenovic, Sebastien Rodrigue, Raju Y. Soolanayakanahally, Seth A. Spawn, Maria Strack, Carolyn Smyth, Naresh Thevathasan, Mihai Voicu, Christopher A. Williams Jan 2021

Natural Climate Solutions For Canada, C. Ronnie Drever, Susan C. Cook-Patton, Fardausi Akhter, Pascal H. Badiou, Gail L. Chmura, Scott J. Davidson, Raymond L. Desjardins, Andrew Dyk, Joseph E. Fargione, Max Fellows, Ben Filewod, Margot Hessing-Lewis, Susantha Jayasundara, William S. Keeton, Timm Kroeger, Tyler J. Lark, Edward Le, Sara M. Leavitt, Marie Eve Leclerc, Tony C. Lemprière, Juha Metsaranta, Brian Mcconkey, Eric Neilson, Guillaume Peterson St-Laurent, Danijela Puric-Mladenovic, Sebastien Rodrigue, Raju Y. Soolanayakanahally, Seth A. Spawn, Maria Strack, Carolyn Smyth, Naresh Thevathasan, Mihai Voicu, Christopher A. Williams

Geography

Alongside the steep reductions needed in fossil fuel emissions, natural climate solutions (NCS) represent readily deployable options that can contribute to Canada's goals for emission reductions. We estimate the mitigation potential of 24 NCS related to the protection, management, and restoration of natural systems that can also deliver numerous co-benefits, such as enhanced soil productivity, clean air and water, and biodiversity conservation. NCS can provide up to 78.2 (41.0 to 115.1) Tg CO2e/year (95% CI) of mitigation annually in 2030 and 394.4 (173.2 to 612.4) Tg CO2e cumulatively between 2021 and 2030, with 34% available at ≤CAD 50/Mg CO2e. Avoided …

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Beyond Biomass To Carbon Fluxes: Application And Evaluation Of A Comprehensive Forest Carbon Monitoring System, Yu Zhou, Christopher A. Williams, Natalia Hasler, Huan Gu, Robert Kennedy Jan 2021

Beyond Biomass To Carbon Fluxes: Application And Evaluation Of A Comprehensive Forest Carbon Monitoring System, Yu Zhou, Christopher A. Williams, Natalia Hasler, Huan Gu, Robert Kennedy

Geography

Accurate quantification of forest carbon stocks and fluxes over regions is needed to monitor forest resources as they respond to changes in climate, disturbance and management, and also to evaluate contributions of forest sector to the regional and global carbon balances. In previous work we introduced a national forest carbon monitoring system (NFCMS) that combines forest inventory data, satellite remote sensing of stand biomass and forest disturbances, and an ecosystem carbon cycle model to assess contemporary forest carbon dynamics at a 30 m resolution. In this study, we evaluate the NFCMS estimates of biomass and carbon fluxes with available data …

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Assessment Of Empirical And Semi-Analytical Algorithms Using Modis-Aqua For Representing In-Situ Chromophoric Dissolved Organic Matter (Cdom) In The Bering, Chukchi, And Western Beaufort Seas Of The Pacific Arctic Region, Melishia I. Santiago, Karen E. Frey Jan 2021

Assessment Of Empirical And Semi-Analytical Algorithms Using Modis-Aqua For Representing In-Situ Chromophoric Dissolved Organic Matter (Cdom) In The Bering, Chukchi, And Western Beaufort Seas Of The Pacific Arctic Region, Melishia I. Santiago, Karen E. Frey

Geography

We analyzed a variety of satellite-based ocean color products derived using MODIS-Aqua to investigate the most accurate empirical and semi-analytical algorithms for representing in-situ chromophoric dissolved organic matter (CDOM) across a large latitudinal transect in the Bering, Chukchi, and western Beaufort Seas of the Pacific Arctic region. In particular, we compared the performance of empirical (CDOM index) and several semi-analytical algorithms (quasi-analytical algorithm (QAA), Carder, Garver-Siegel-Maritorena (GSM), and GSM-A) with field measurements of CDOM absorption (aCDOM) at 412 nanometers (nm) and 443 nm. These algorithms were compared with in-situ CDOM measurements collected on cruises during July 2011, 2013, 2014, 2015, …

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Effects Of Bark Beetle Outbreaks On Forest Landscape Pattern In The Southern Rocky Mountains, U.S.A., Kyle C. Rodman, Robert A. Andrus, Cori L. Butkiewicz, Teresa B. Chapman, Nathan S. Gill, Brian J. Harvey, Dominik Kulakowski, Niko J. Tutland, Thomas T. Veblen, Sarah J. Hart Jan 2021

Effects Of Bark Beetle Outbreaks On Forest Landscape Pattern In The Southern Rocky Mountains, U.S.A., Kyle C. Rodman, Robert A. Andrus, Cori L. Butkiewicz, Teresa B. Chapman, Nathan S. Gill, Brian J. Harvey, Dominik Kulakowski, Niko J. Tutland, Thomas T. Veblen, Sarah J. Hart

Geography

Since the late 1990s, extensive outbreaks of native bark beetles (Curculionidae: Scolytinae) have affected coniferous forests throughout Europe and North America, driving changes in carbon storage, wildlife habitat, nutrient cycling, and water resource provisioning. Remote sensing is a cru-cial tool for quantifying the effects of these disturbances across broad landscapes. In particular, Landsat time series (LTS) are increasingly used to characterize outbreak dynamics, including the presence and severity of bark beetle-caused tree mortality, though broad-scale LTS-based maps are rarely informed by detailed field validation. Here we used spatial and temporal information from LTS products, in combination with extensive field data …

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The Total Operating Characteristic From Stratified Random Sampling With An Application To Flood Mapping, Zhen Liu, Robert Gilmore Pontius Jan 2021

The Total Operating Characteristic From Stratified Random Sampling With An Application To Flood Mapping, Zhen Liu, Robert Gilmore Pontius

Geography

The Total Operating Characteristic (TOC) measures how the ranks of an index variable distinguish between presence and absence in a binary reference variable. Previous methods to generate the TOC required the reference data to derive from a census or a simple random sample. However, many researchers apply stratified random sampling to collect reference data because stratified random sampling is more efficient than simple random sampling for many applications. Our manuscript derives a new methodology that uses stratified random sampling to generate the TOC. An application to flood mapping illustrates how the TOC compares the abilities of three indices to diagnose …

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Toward The Development Of Deep Learning Analyses For Snow Avalanche Releases In Mountain Regions, Yunzhi Chen, Wei Chen, Omid Rahmati, Fatemeh Falah, Dominik Kulakowski, Saro Lee, Fatemeh Rezaie, Mahdi Panahi, Aref Bahmani, Hamid Darabi, Ali Torabi Haghighi, Huiyuan Bian Jan 2021

Toward The Development Of Deep Learning Analyses For Snow Avalanche Releases In Mountain Regions, Yunzhi Chen, Wei Chen, Omid Rahmati, Fatemeh Falah, Dominik Kulakowski, Saro Lee, Fatemeh Rezaie, Mahdi Panahi, Aref Bahmani, Hamid Darabi, Ali Torabi Haghighi, Huiyuan Bian

Geography

Snow avalanches impose a considerable threat to infrastructure and human safety in snow bound mountain areas. Nevertheless, the spatial prediction of snow avalanches has received little research attention in many vulnerable parts of the world, particularly in developing countries. The present study investigates the applicability of a stand alone convolutional neural network (CNN) model, as a deep learning approach, along with two metaheuristic algorithms including grey wolf optimization (CNN-GWO) and imperialist competitive algorithm (CNN-ICA) in snow avalanche modelling in the Darvan watershed, Iran. The analysis was based on thirteen potential drivers of avalanche occurrence and an inventory map of previously …

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