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  • 1
    In: Land Degradation & Development, Wiley, Vol. 27, No. 4 ( 2016-05), p. 1106-1121
    Abstract: Decades of intensive off‐road vehicle use for border security, immigration, smuggling, recreation, and military training along the USA–Mexico border have prompted concerns about long‐term human impacts on sensitive desert ecosystems. To help managers identify areas susceptible to soil erosion from anthropogenic activities, we developed a series of erosion potential models based on factors from the Universal Soil Loss Equation (USLE). To better express the vulnerability of soils to human disturbances, we refined two factors whose categorical and spatial representations limit the application of the USLE for non‐agricultural landscapes: the C ‐factor (vegetation cover) and the P ‐factor (support practice/management). A soil compaction index ( P ‐factor) was calculated as the difference in saturated hydrologic conductivity ( K s ) between disturbed and undisturbed soils, which was then scaled up to maps of vehicle disturbances digitized from aerial photography. The C ‐factor was improved using a satellite‐based vegetation index, which was better correlated with estimated ground cover ( r 2  = 0·77) than data derived from land cover ( r 2  = 0·06). We identified 9,780 km of unauthorized off‐road tracks in the 2,800‐km 2 study area. Maps of these disturbances, when integrated with soil compaction data using the USLE, provided landscape‐scale information on areas vulnerable to erosion from both natural processes and human activities and are detailed enough for adaptive management and restoration planning. The models revealed erosion potential hotspots adjacent to the border and within areas managed as critical habitat for the threatened flat‐tailed horned lizard and endangered Sonoran pronghorn. Copyright © 2014 John Wiley & Sons, Ltd.
    Type of Medium: Online Resource
    ISSN: 1085-3278 , 1099-145X
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2016
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  • 2
    Online Resource
    Online Resource
    MDPI AG ; 2020
    In:  Remote Sensing Vol. 12, No. 6 ( 2020-03-19), p. 984-
    In: Remote Sensing, MDPI AG, Vol. 12, No. 6 ( 2020-03-19), p. 984-
    Abstract: 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 networks are incomplete or non-existent in many parts of the world. In such instances, satellite imagery may provide the only data available to monitor surface water changes over time. Here, we describe an effort to extend the applicability of the USGS Dynamic Surface Water Extent (DSWE) model to non-US regions. We leverage the multi-decadal archive of the Landsat satellite in the Google Earth Engine (GEE) cloud-based computing platform to produce and analyze 372 monthly composite maps and 31 annual maps (January 1988–December 2018) in Cambodia, a flood-prone country in Southeast Asia that lacks a comprehensive stream gage network. DSWE relies on a series of spectral water indices and elevation data to classify water into four categories of water inundation. We compared model outputs to existing surface water maps and independently assessed DSWE accuracy at discrete dates across the time series. Despite considerable cloud obstruction and missing imagery across the monthly time series, the overall accuracy exceeded 85% for all annual tests. The DSWE model consistently mapped open water with high accuracy, and areas classified as “high confidence” water correlate well to other available maps at the country scale. Results in Cambodia suggest that extending DSWE globally using a cloud computing framework may benefit scientists, managers, and planners in a wide array of applications across the globe.
    Type of Medium: Online Resource
    ISSN: 2072-4292
    Language: English
    Publisher: MDPI AG
    Publication Date: 2020
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  • 3
    Online Resource
    Online Resource
    American Geophysical Union (AGU) ; 2022
    In:  Water Resources Research Vol. 58, No. 6 ( 2022-06)
    In: Water Resources Research, American Geophysical Union (AGU), Vol. 58, No. 6 ( 2022-06)
    Abstract: Monthly Moderate Resolution Imaging Spectroradiometer maps can be used to calculate and compare surface water area trends across US ecoregions The central United States (US) underwent an increase in surface water while most of the western/eastern US underwent a decline from 2003 through 2019 Monthly trends in surface water were congruent with monthly trends in discharge for the majority of Level III Ecoregions in the US
    Type of Medium: Online Resource
    ISSN: 0043-1397 , 1944-7973
    Language: English
    Publisher: American Geophysical Union (AGU)
    Publication Date: 2022
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  • 4
    Online Resource
    Online Resource
    Wiley ; 2022
    In:  JAWRA Journal of the American Water Resources Association Vol. 58, No. 2 ( 2022-04), p. 248-268
    In: JAWRA Journal of the American Water Resources Association, Wiley, Vol. 58, No. 2 ( 2022-04), p. 248-268
    Abstract: Optical satellite imagery is commonly used for monitoring surface water dynamics, but clouds and cloud shadows present challenges in assembling complete water time series. To test whether the daily revisit rate of Moderate Resolution Imaging Spectroradiometer (MODIS) satellite imagery can reduce cloud obstruction and improve high‐frequency surface water mapping, we compared map results derived from Landsat (30‐m) and MODIS (250‐m) data across the state of California for 2003–2019. We adapted the Dynamic Surface Water Extent (DSWE) model in Google Earth Engine to generate surface water map composites from MODIS imagery every 5, 10, 15, and 30 days, and compared products to monthly Landsat‐based DSWE maps. Results for DSWEmod (DSWE MODIS) in California suggest that more than 5% data loss (cloud obstruction, etc.) was present in only 2% of the 15‐day time series, as compared to 32% of the monthly Landsat DSWE time series. The five‐day DSWEmod composites averaged 8.4% obscuration in the winter months. Area estimates derived from cloud‐filtered MODIS and Landsat monthly products have the highest linear correlations compared to streamgage discharge records, suggesting that monthly scale analyses best explain the relationship between surface water area and general streamflow dynamics. Shorter‐interval DSWEmod products have lower correlations but utility for understanding the timing of surface water peaks and past flood events.
    Type of Medium: Online Resource
    ISSN: 1093-474X , 1752-1688
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2022
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  • 5
    Online Resource
    Online Resource
    Elsevier BV ; 2020
    In:  International Journal of Applied Earth Observation and Geoinformation Vol. 84 ( 2020-02), p. 101973-
    In: International Journal of Applied Earth Observation and Geoinformation, Elsevier BV, Vol. 84 ( 2020-02), p. 101973-
    Type of Medium: Online Resource
    ISSN: 1569-8432
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2020
    detail.hit.zdb_id: 2097960-5
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  • 6
    In: Water, MDPI AG, Vol. 13, No. 21 ( 2021-10-20), p. 2955-
    Abstract: Watershed studies are often onerous due to a lack of data available to portray baseline conditions with which to compare results of monitoring environmental effects. A paired-watershed approach is often adopted to simulate baseline conditions in an adjacent watershed that can be comparable but assumes there is a quantifiable relationship between the control and treated watersheds. Finding suitably matched pairs that can most accurately depict similar responses is challenging and attributes are rarely quantified. In southeastern Arizona, United States, researchers are investigating the effectiveness of watershed restoration techniques employed by land managers. We selected Smith Canyon to develop a rigorous and quantitatively defensible paired-watershed experimental design. The Smith Canyon watershed consists of 91 structurally similar sub-basins that have a defined basin-like structure and flow channel, allowing for consideration as replicate units. We developed a statistical approach to group sub-basins based on similar structural, biophysical, and hydrologic traits. Our geospatial database consisted of 35 environmental variables, which we reduced to 12 through a correlation analysis. We identified three primary collections of paired sub-basins within the larger watershed. These clusters are being used to inform studies actively being employed in the watershed. Overall, we propose a hierarchical clustering protocol for justification of watershed pairing experiments.
    Type of Medium: Online Resource
    ISSN: 2073-4441
    Language: English
    Publisher: MDPI AG
    Publication Date: 2021
    detail.hit.zdb_id: 2521238-2
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  • 7
    In: Forest Ecology and Management, Elsevier BV, Vol. 413 ( 2018-04), p. 48-61
    Type of Medium: Online Resource
    ISSN: 0378-1127
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2018
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  • 8
    Online Resource
    Online Resource
    Frontiers Media SA ; 2023
    In:  Frontiers in Environmental Science Vol. 11 ( 2023-7-4)
    In: Frontiers in Environmental Science, Frontiers Media SA, Vol. 11 ( 2023-7-4)
    Abstract: Riparian systems across the Southwest United States are extremely valuable for the human and ecological communities that engage with them. However, they have experienced substantial changes and stresses over the past century, including non-native vegetation expansion, vegetation die-offs, and increased fire activity. Vegetation management approaches, such as ecological restoration, may address some of these stressors as well as reduce the risk of future impacts. We apply remote sensing to inform restoration priorities along the upper Gila River within the San Carlos Apache Reservation and Upper Gila River watershed. First, we develop a spatially and temporally explicit trend analysis across three observed climate periods (1985–1993, 1993–2014, 2014–2021) using the Landsat-derived indices to quantify changes in riparian vegetation conditions. These maps can be used to identify areas potentially more at risk for degradation. Second, we analyze changes in riparian vegetation within a climate framework to better understand trends and the potential effect of climate change. Vegetation greenness has largely increased throughout the watershed despite intensifying drought conditions across our study period, though areas within the lower watershed have shown increased stress and higher rates of wildfire and other disturbances over the past 5-years. Nevertheless, small-scale restoration activities appear to show improving vegetation conditions, suggesting efficacy of these restoration activities. Results from this study may be integrated with restoration objectives to develop a restoration plan that will help riparian vegetation communities adapt to change.
    Type of Medium: Online Resource
    ISSN: 2296-665X
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2023
    detail.hit.zdb_id: 2741535-1
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  • 9
    In: Applied Geography, Elsevier BV, Vol. 47 ( 2014-02), p. 57-69
    Type of Medium: Online Resource
    ISSN: 0143-6228
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2014
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    SSG: 14
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  • 10
    In: Air, Soil and Water Research, SAGE Publications, Vol. 13 ( 2020-01), p. 117862212091331-
    Abstract: 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 information systems (GIS)-based tool in the Sonoita Creek watershed, Arizona, to map social values across the watershed. The survey focused on how respondents engage with the landscape, including through their ranking of 12 social values (eg, recreational, economic, or aesthetic value) and their placement of points on a map to identify their associations with the landscape. Additional information was elicited regarding how respondents engaged with water and various land uses, as well as their familiarity with restoration terminology. Results show how respondents perceive benefits from the natural environment. Specifically, maps of social values on the landscape show high social value along streamlines. Life-sustaining services, biological diversity, and aesthetics were the respondents’ highest rated social values. Land surrounding National Forest and private lands had lower values than conservation-based and state-owned areas, which we associate with landscape features. Results can inform watershed management by allowing managers to consider social values when prioritizing restoration or conservation investments.
    Type of Medium: Online Resource
    ISSN: 1178-6221 , 1178-6221
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2020
    detail.hit.zdb_id: 2488152-1
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