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Substantially greater carbon emissions estimated based on annual land-use transition data Substantially greater carbon emissions estimated based on annual land-use transition data

Quantifying land-use and land-cover change (LULCC) effects on carbon sources and sinks has been very challenging because of the availability and quality of LULCC data. As the largest estuary in the United States, Chesapeake Bay is a rapidly changing region and is affected by human activities. A new annual land-use and land-cover (LULC) data product developed by the U.S. Geological Survey...
Authors
Jiaojiao Diao, Jinxun Liu, Zhiliang Zhu, Mingshi Li, Benjamin M. Sleeter

Corrigendum to "A remote sensing-based model of tidal marsh aboveground carbon stocks for the conterminous United States" [ISPRS J. Photogram. Rem. Sens.139 (2018) 255-271] Corrigendum to "A remote sensing-based model of tidal marsh aboveground carbon stocks for the conterminous United States" [ISPRS J. Photogram. Rem. Sens.139 (2018) 255-271]

The authors regret that two thirds of the San Francisco Bay biomass data included in the Landsat random forest models were not scaled to the proper units of grams per square meter. This error affects the Landsat-only models in the article, which are models #1-4 shown in Table 6. The authors have thoroughly investigated the error and found that the final random forest model, including the...
Authors
Kristin B. Byrd, Laurel Ballanti, Nathan Thomas, Dung Nguyen, James Holmquist, Marc Simard, Lisamarie Windham-Myers

Progress toward a preliminary karst depression density map for the conterminous United States Progress toward a preliminary karst depression density map for the conterminous United States

Most methods for the assessment of sinkhole hazard susceptibility are predicated upon knowledge of pre-existing closed depressions in karst areas. In the United States (U.S.), inventories of existing karst depressions are piecemeal, and are often obtained through inconsistent methodologies applied at the state or county level and at various scales. Here, we present a first attempt at...
Authors
Daniel H. Doctor, Jeanne M. Jones, Nathan J. Wood, Jeff T. Falgout, Natalya Igorevna Rapstine

Quantifying drought’s influence on moist soil seed vegetation in California’s Central Valley through time-series remote sensing Quantifying drought’s influence on moist soil seed vegetation in California’s Central Valley through time-series remote sensing

Californias Central Valley, USA is a critical component of the Pacific Flyway despite loss of more than 90% of its wetlands. Moist soil seed (MSS) wetland plants are now produced by mimicking seasonal flooding in managed wetlands to provide an essential food resource for waterfowl. Managers need MSS plant area and productivity estimates to support waterfowl conservation, yet this remains...
Authors
Kristin B. Byrd, Austen Lorenz, James Anderson, Cynthia Wallace, Kara Moore-O'Leary, Jennifer Isola, Ricardo Ortega, Matt Reiter

Mapping perceived social values to support a respondent-defined restoration economy: Case study in southeastern Arizona, USA Mapping perceived social values to support a respondent-defined restoration economy: Case study in southeastern Arizona, USA

Investment in conservation and ecological restoration depends on various socioeconomic factors and the social license for these activities. Our study demonstrates a method for targeting management of ecosystem services based on social values, identified by respondents through a collection of social survey data. We applied the Social Values for Ecosystem Services (SolVES) geographic...
Authors
Roy E. Petrakis, Laura M. Norman, Oliver Lysaght, Benson C. Sherrouse, Darius J. Semmens, Kenneth J. Bagstad, Richard Pritzlaff

Implementation of a surface water extent model in Cambodia using cloud-based remote sensing Implementation of a surface water extent model in Cambodia using cloud-based remote sensing

Mapping surface water over time provides the spatially explicit information essential for hydroclimatic research focused on droughts and flooding. Hazard risk assessments and water management planning also rely on accurate, long-term measurements describing hydrologic fluctuations. Stream gages are a common measurement tool used to better understand flow and inundation dynamics, but gage...
Authors
Christopher E. Soulard, Jessica J. Walker, Roy E. Petrakis

Critical land change information enhances the understanding of carbon balance in the United States Critical land change information enhances the understanding of carbon balance in the United States

Large-scale terrestrial carbon (C) estimating studies using methods such as atmospheric inversion, biogeochemical modeling, and field inventories have produced different results. The goal of this study was to integrate fine-scale processes including land use and land cover change into a large-scale ecosystem framework. We analyzed the terrestrial C budget of the conterminous United...
Authors
Jinxun Liu, Benjamin M. Sleeter, Zhiliang Zhu, Thomas Loveland, Terry L. Sohl, Stephen M. Howard, Carl H. Key, Todd Hawbaker, Shuguang Liu, Bradley C. Reed, Mark A. Cochrane, Linda S. Heath, Hong Jiang, David T. Price, Jing M. Chen, Decheng Zhou, Norman B. Bliss, Tamara Wilson, Jason T. Sherba, Qiuan Zhu, Yiqi Luo, Benjiamin Paulter

Evaluating social vulnerability indicators: Criteria and their application to the Social Vulnerability Index Evaluating social vulnerability indicators: Criteria and their application to the Social Vulnerability Index

As a concept, social vulnerability describes combinations of social, cultural, economic, political, and institutional processes that shape socioeconomic differentials in the experience of and recovery from hazards. Quantitative measures of social vulnerability are widely used in research and practice. In this paper, we establish criteria for the evaluation of social vulnerability...
Authors
Seth Spielman, Joseph Tuccillo, David Folch, Amy Schweikert, Rebecca Davies, Nathan J. Wood, Eric Tate

Rating fire danger from the ground up Rating fire danger from the ground up

Soil moisture information could improve assessments of wildfire probabilities and fuel conditions, resulting in better fire danger ratings.
Authors
Matthew Levi, Erik S. Krueger, Grant J. Snitker, Tyson Ochsner, Miguel L. Villarreal, Emile H. Elias, Dannele E. Peck

Marine fog inputs appear to increase methylmercury bioaccumulation in a coastal terrestrial food web Marine fog inputs appear to increase methylmercury bioaccumulation in a coastal terrestrial food web

Coastal marine atmospheric fog has recently been implicated as a potential source of ocean-derived monomethylmercury (MMHg) to coastal terrestrial ecosystems through the process of sea-to-land advection of foggy air masses followed by wet deposition. This study examined whether pumas (Puma concolor) in coastal central California, USA, and their associated food web, have elevated...
Authors
Peter S. Weiss-Penzias, Michael S. Bank, Deana L. Clifford, Alicia A. Torregrosa, Belle Zheng, Wendy Lin, Christopher C. Wilmers

Cost-effective fuel treatment planning: A theoretical justification and case-study Cost-effective fuel treatment planning: A theoretical justification and case-study

Modelling the spatial prioritisation of fuel treatments and their net effect on values at risk is an important area for applied work as economic damages from wildfire continue to grow. We model and demonstrate a cost-effective fuel treatment planning algorithm using two ecosystem services as benefits for which fuel treatments are prioritised. We create a surface of expected fuel...
Authors
Jason R. Kreitler, Matthew Thompson, Nicole Vaillant, Todd Hawbaker

Phenology patterns indicate recovery trajectories of ponderosa pine forests after high-severity fires Phenology patterns indicate recovery trajectories of ponderosa pine forests after high-severity fires

Post-fire recovery trajectories in ponderosa pine (Pinus ponderosa Laws.) forests of the US Southwest are increasingly shifting away from pre-burn vegetation communities. This study investigated whether phenological metrics derived from a multi-decade remotely sensed imagery time-series could differentiate among grass, evergreen shrub, deciduous, or conifer-dominated replacement pathways...
Authors
Jessica J. Walker, Christopher E. Soulard
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