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Publications

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Status of tidal marsh mapping for blue carbon inventories

Remote-sensing-based maps of tidal marshes, both of their extents and carbon stocks, will play a key role in conducting greenhouse gas (GHG) inventories.The U.N. Environment Programme World Conservation Monitoring Centre has produced a new Global Distribution of Salt Marsh dataset that estimates global salt marsh area at 5.5 Mha.A Tier 1–2 GHG Inventory of U.S. Coastal Wetlands has been developed
Authors
Kristin B. Byrd, Chris Mcowen, Lauren Weatherdon, James Holmquist, Stephen Crooks

Uncertainty in United States coastal wetland greenhouse gas inventorying

Coastal wetlands store carbon dioxide (CO2) and emit CO2 and methane (CH4) making them an important part of greenhouse gas (GHG) inventorying. In the contiguous United States (CONUS), a coastal wetland inventory was recently calculated by combining maps of wetland type and change with soil, biomass, and CH4 flux data from a literature review. We assess uncertainty in this developing carbon monitor
Authors
James Holmquist, Lisamarie Windham-Myers, Blanca Bernal, Kristin B. Byrd, Steve Crooks, Meagan Gonneea Eagle, Nathan Herold, Sara Knox, Kevin D. Kroeger, John McCombs, J. Patrick Megonigal, Lu Meng, James Morris, Ariana Sutton-Grier, Tiffany Troxler, Donald Weller

Population vulnerability to tsunami hazards informed by previous and projected disasters: A case study of American Samoa

Population vulnerability from tsunamis is a function of the number and location of individuals in hazard zones and their ability to reach safety before wave arrival. Previous tsunami disasters can provide insight on likely evacuation behavior, but post-disaster assessments have not been used extensively in evacuation modeling. We demonstrate the utility of post-disaster assessments in pedestrian e
Authors
Nathan J. Wood, Jeanne M. Jones, Yoshiki Yamazaki, Kwok-Fai Cheung, Jacinta Brown, Jamie Jones, Nina Abdollahian

A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform

Mapping high resolution (30-m or better) cropland extent over very large areas such as continents or large countries or regions accurately, precisely, repeatedly, and rapidly is of great importance for addressing the global food and water security challenges. Such cropland extent products capture individual farm fields, small or large, and are crucial for developing accurate higher-level cropland
Authors
Pardhasaradhi Teluguntla, Prasad S. Thenkabail, Adam Oliphant, Jun Xiong, Murali Krishna Gumma, Russell G. Congalton, Kamini Yadav, Alfredo Huete

Actinorhizal species influence plant and soil nitrogen status of semiarid shrub-dominated ecosystems in the western Great Basin, USA

Actinorhizal plants form symbiotic root associations with dinitrogen (N2) fixing Frankia and are abundant in North American cold deserts. However, the extent to which actinorhizal species are actively fixing N2 or altering ecosystem nitrogen (N) availability remains unclear. We used the 15N natural abundance technique to measure how three widespread actinorhizal species in the western Great Basin
Authors
Stephanie M. Freund, Fiona M. Soper, Simon R. Poulson, Paul C. Selmants, Benjamin W. Sullivan

Landsat time series analysis of fractional plant cover changes on abandoned energy development sites

Oil and natural gas development in the western United States has increased substantially in recent decades as technological advances like horizontal drilling and hydraulic fracturing have made extraction more commercially viable. Oil and gas pads are often developed for production, and then capped, reclaimed, and left to recover when no longer productive. Understanding the rates, controls, and deg
Authors
Eric K. Waller, Miguel L. Villarreal, Travis B. Poitras, Travis W. Nauman, Michael C. Duniway

Adaptation with climate uncertainty: An examination of agricultural land use in the United States

This paper examines adaptation responses to climate change through adjustment of agricultural land use. The climate drivers we examine are changes in long-term climate normals (e.g., 10-year moving averages) and changes in inter-annual climate variability. Using US county level data over 1982 to 2012 from Census of Agriculture, we find that impacts of long-term climate normals are as important as
Authors
Jianhong E. Mu, Bruce A. McCarl, Benjamin M. Sleeter, John T. Abatzoglou, Hongliang Zhang

Mapping cropland fallow areas in myanmar to scale up sustainable intensification of pulse crops in the farming system

Cropland fallows are the next best-bet for intensification and extensification, leading to increased food production and adding to the nutritional basket. The agronomical suitability of these lands can decide the extent of usage of these lands. Myanmar’s agricultural land (over 13.8 Mha) has the potential to expand by another 50% into additional fallow areas. These areas may be used to grow short-
Authors
Murali Krishna Gumma, Prasad S. Thenkabail, Kumara Charyulu Deevi, Irshad A. Mohammed, Pardhasaradhi Teluguntla, Adam Oliphant, Jun Xiong, Tin Aye, Anthony M. Whittbread

Remote sensing analysis of vegetation at the San Carlos Apache Reservation, Arizona and surrounding area

Mapping of vegetation types is of great importance to the San Carlos Apache Tribe and their management of forestry and fire fuels. Various remote sensing techniques were applied to classify multitemporal Landsat 8 satellite data, vegetation index, and digital elevation model data. A multitiered unsupervised classification generated over 900 classes that were then recoded to one of the 16 generaliz
Authors
Laura M. Norman, Barry R. Middleton, Natalie R. Wilson

Pedestrian evacuation modeling to reduce vehicle use for distant tsunami evacuations in Hawaiʻi

Tsunami waves that arrive hours after generation elsewhere pose logistical challenges to emergency managers due to the perceived abundance of time and inclination of evacuees to use vehicles. We use coastal communities on the island of Oʻahu (Hawaiʻi, USA) to demonstrate regional evacuation modeling that can identify where successful pedestrian-based evacuations are plausible and where vehicle use
Authors
Nathan J. Wood, Jamie Jones, Jeff Peters, Kevin Richards

Clusters of community exposure to coastal flooding hazards based on storm and sea level rise scenarios—implications for adaptation networks in the San Francisco Bay region

Sea level is projected to rise over the coming decades, further increasing the extent of flooding hazards in coastal communities. Efforts to address potential impacts from climate-driven coastal hazards have called for collaboration among communities to strengthen the application of best practices. However, communities currently lack practical tools for identifying potential partner communities ba
Authors
Michelle Hummel, Nathan J. Wood, Amy Schweikert, Mark T. Stacey, Jeanne Jones, Patrick L. Barnard, Li H. Erikson

Urban growth and landscape connectivity threats assessment at Saguaro National Park, Arizona, USA

Urban and exurban expansion results in habitat and biodiversity loss globally. We hypothesize that a coupled-model approach could connect urban planning for future cities with landscape ecology to consider wildland habitat connectivity. Our work combines urban growth simulations with models of wildlife corridors to examine how species will be impacted by development to test this hypothesis. We lev
Authors
Ryan Perkl, Laura M. Norman, David Mitchell, Mark R. Feller, Garrett Smith, Natalie R. Wilson