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- Author:
- Dawn M. Browning, et al. ; Shawn D. Taylor; Show all 2 Author
- Source:
- Remote Sensing 2022 v.14 no.2 pp. -
- ISSN:
- 2072-4292
- Subject:
- Markov chain; agricultural research; cameras; data collection; image analysis; models; phenology; plant residues; snow; soil; tillage; time series analysis; vegetation
- Abstract:
- ... Near-surface cameras, such as those in the PhenoCam network, are a common source of ground truth data in modelling and remote sensing studies. Despite having locations across numerous agricultural sites, few studies have used near-surface cameras to track the unique phenology of croplands. Due to management activities, crops do not have a natural vegetation cycle which many phenological extraction ...
- Handle:
- 10113/7635814
- DOI:
- 10.3390/rs14020286
- https://doi.org/10.3390/rs14020286
- Author:
- Dawn M. Browning, et al. ; D. Menefee; Russell L. Scott; M. Abraha; J.G. Alfieri; J. Baker; Jiquan Chen; Jeff Gonet; J.M.F. Johnson; G.R. Miller; Rachel Nifong; Phil Robertson; E.S. Russell; N. Saliendra; Adam P. Schreiner-Mcgraw; A. Suyker; P. Wagle; Chris Wente; P.M. White; Doug Smith; Show all 20 Authors
- Source:
- Agricultural and forest meteorology 2022 v.326 pp. 109154
- ISSN:
- 0168-1923
- Subject:
- Glycine max; Long-Term Agroecosystem Research Network; Saccharum; agroecosystems; atmospheric precipitation; carbon; carbon dioxide; carbon sequestration; climate; cropland; data collection; ecosystem respiration; eddy covariance; forests; gross primary productivity; irrigation management; meteorology; regression analysis; soybeans; sugarcane; temperature; Nebraska
- Abstract:
- ... Understanding the carbon fluxes and dynamics from a broad range of agricultural systems has the potential to improve our ability to increase carbon sequestration while maintaining crop yields. Short-term, single-location studies have limited applicability, but long-term data from a network of many locations can provide a broader understanding across gradients of climate and management choices. Her ...
- DOI:
- 10.1016/j.agrformet.2022.109154
- https://doi.org/10.1016/j.agrformet.2022.109154
- Author:
- Dawn M. Browning, et al. ; Keirith A. Snyder; Jeffrey E. Herrick; Show all 3 Authors
- Source:
- Rangelands 2019 v.41 no.3 pp. 129-134
- ISSN:
- 0190-0528
- Subject:
- cameras; cost effectiveness; developmental stages; ecosystems; grazing; management systems; phenology; planning; rangelands; satellites; vegetation
- Abstract:
- ... Plant phenology—timing of seasonal life cycle events—is a primary control on ecosystem productivity. Phenology data can be used to design better management systems by adjusting the timing of grazing or managed burns relative to growth stages of key species and planning restoration activities, such as targeted grazing. Tower-mounted digital cameras (phenocams) provide a cost-effective way to collec ...
- DOI:
- 10.1016/j.rala.2019.02.001
- https://doi.org/10.1016/j.rala.2019.02.001
- Author:
- Dawn M. Browning, et al. ; Feng Gao; Martha C. Anderson; David M. Johnson; Robert Seffrin; Brian Wardlow; Andy Suyker; Chunyuan Diao; Show all 8 Authors
- Source:
- Remote Sensing 2021 v.13 no.24 pp. -
- ISSN:
- 2072-4292
- Subject:
- Landsat; National Agricultural Statistics Service; agricultural statistics; algorithms; biomass production; corn; data collection; remote sensing; soybeans; temporal variation; time series analysis; Corn Belt region; Illinois; Indiana; Iowa; Minnesota; Nebraska
- Abstract:
- ... Crop emergence is a critical stage for crop development modeling, crop condition monitoring, and biomass accumulation estimation. Green-up dates (or the start of the season) detected from remote sensing time series are related to, but generally lag, crop emergence dates. In this paper, we refine the within-season emergence (WISE) algorithm and extend application to five Corn Belt states (Iowa, Ill ...
- DOI:
- 10.3390/rs13245074
- https://doi.org/10.3390/rs13245074
- Author:
- Dawn M. Browning, et al. ; Jonathan J. Maynard; Jason W. Karl; Debra C. Peters; Show all 4 Authors
- Source:
- Ecological Applications 2017 v.27 no.5 pp. 1677-1693
- ISSN:
- 1051-0761
- Subject:
- arid grasslands; arid lands; botanical composition; climate change; drought; ecosystems; grasses; landscapes; models; moderate resolution imaging spectroradiometer; monitoring; normalized difference vegetation index; phytomass; prediction; primary productivity; rain; remote sensing; seasonal variation; soil properties; time series analysis; uncertainty; variance; vegetation cover; New Mexico
- Abstract:
- ... Frequency and severity of extreme climatic events are forecast to increase in the 21st century. Predicting how managed ecosystems may respond to climatic extremes is intensified by uncertainty associated with knowing when, where, and how long effects of extreme events will be manifest in an ecosystem. In water-limited ecosystems with high inter-annual variability in rainfall, it is important to be ...
- Handle:
- 10113/5863766
- DOI:
- 10.1002/eap.1561
- https://doi.org/10.1002/eap.1561
6. Effect of spatial image support in detecting long-term vegetation change from satellite time-series
- Author:
- Dawn M. Browning, et al. ; Jonathan J. Maynard; Jason W. Karl; Show all 3 Authors
- Source:
- Landscape ecology 2016 v.31 no.9 pp. 2045-2062
- ISSN:
- 0921-2973
- Subject:
- Landsat; biomass; ecosystems; grasslands; landscapes; models; moderate resolution imaging spectroradiometer; monitoring; plant communities; rangelands; remote sensing; shrublands; spatial variation; temporal variation; time series analysis; uncertainty; vegetation structure; New Mexico
- Abstract:
- ... CONTEXT: Arid rangelands have been severely degraded over the past century. Multi-temporal remote sensing techniques are ideally suited to detect significant changes in ecosystem state; however, considerable uncertainty exists regarding the effects of changing image resolution on their ability to detect ecologically meaningful change from satellite time-series. OBJECTIVES: (1) Assess the effects o ...
- Handle:
- 10113/5555872
- DOI:
- 10.1007/s10980-016-0381-y
- https://doi.org/10.1007/s10980-016-0381-y
- Author:
- Dawn M. Browning, et al. ; Sarah E. McCord; Michaela Buenemann; Jason W. Karl; Brian C. Hadley; Show all 5 Authors
- Source:
- Rangeland ecology & management 2017 v.70 no.5 pp. 644-655
- ISSN:
- 1550-7424
- Subject:
- Landsat; data collection; inventories; landscapes; models; monitoring; prediction; rangelands; regression analysis; remote sensing; shrubs; soil; uncertainty; vegetation cover; California
- Abstract:
- ... Remotely sensed imagery at multiple spatial scales is used increasingly in conjunction with field data to estimate rangeland indicators (e.g., vegetation cover) and meet the growing need for landscape-scale monitoring and assessment of rangelands. Remote sensing studies that produce rangeland indicators often require intensive and costly field-data collection efforts to produce accurate model pred ...
- Handle:
- 10113/5652760
- DOI:
- 10.1016/j.rama.2017.02.004
- https://doi.org/10.1016/j.rama.2017.02.004
- Author:
- Dawn M. Browning, et al. ; Sarah E. McCord; Michaela Buenemann; Jason W. Karl; Brian C. Hadley; Show all 5 Authors
- Source:
- Rangeland ecology & management 2017 v.70 no.5 pp. 644-655
- ISSN:
- 1551-5028
- Subject:
- Bayesian theory; Landsat; data collection; inventories; landscapes; managers; models; monitoring; prediction; rangelands; regression analysis; remote sensing; shrubs; soil; uncertainty; vegetation cover; California
- Abstract:
- ... Remotely sensed imagery at multiple spatial scales is used increasingly in conjunction with field data to estimate rangeland indicators (e.g., vegetation cover) and meet the growing need for landscape-scale monitoring and assessment of rangelands. Remote sensing studies that produce rangeland indicators often require intensive and costly field-data collection efforts to produce accurate model pred ...
- Author:
- Dawn M. Browning, et al. ; Theresa M. Crimmins; Darren K. James; Sheri Spiegal; Matthew R. Levi; John P. Anderson; Debra P. C. Peters; Show all 7 Authors
- Source:
- Ecosphere 2018 v.9 no.9 pp. e02395
- ISSN:
- 2150-8925
- Subject:
- C3 plants; C4 plants; basins; climate; cluster analysis; flowers; fruits; grasses; land management; leaves; models; monitoring; monsoon season; phenology; rain; shrubs; summer; terrestrial ecosystems; time series analysis; Southwestern United States
- Abstract:
- ... Phenological studies are critical for understanding the ability of terrestrial ecosystems to respond to changes in climate. Monitoring seasonal transitions at the species or community level across large areas is challenging and expensive. One approach for lowering costs is to identify phenological guilds—groups of species that exhibit similar timing of seasonal transitions—and limit monitoring to ...
- DOI:
- 10.1002/ecs2.2395
- CHORUS:
- 10.1002/ecs2.2395
- https://doi.org/10.1002/ecs2.2395
- Author:
- Dawn M. Browning, et al. ; Jeffrey T. Morisette; Katharyn A. Duffy; Jake F. Weltzin; R. Lee Marsh; Aaron M. Friesz; Luke J. Zachmann; Kyle D. Enns; Vincent A. Landau; Katharine L. Gerst; Theresa M. Crimmins; Katherine D. Jones; Tony Chang; Brian W. Miller; Thomas K. Maiersperger; Andrew D. Richardson; Show all 16 Authors
- Source:
- Ecological informatics 2021 v.65 pp. 101400
- ISSN:
- 1574-9541
- Subject:
- animals; computer software; decision making; ecosystems; land management; phenology; vegetation
- Abstract:
- ... Phenology is the study of recurring plant and animal life-cycle stages which can be observed across spatial and temporal scales that span orders of magnitude (e.g., organisms to landscapes). The variety of scales at which phenological processes operate is reflected in the range of methods for collecting phenologically relevant data, and the programs focused on these collections. Consideration of t ...
- DOI:
- 10.1016/j.ecoinf.2021.101400
- https://doi.org/10.1016/j.ecoinf.2021.101400
11. Phenocams Bridge the Gap between Field and Satellite Observations in an Arid Grassland Ecosystem
- Author:
- Dawn M. Browning, et al. ; Jason W. Karl; David Morin; Andrew D. Richardson; Craig E. Tweedie; Show all 5 Authors
- Source:
- Remote sensing 2017 v.9 no.10 pp. -
- ISSN:
- 2072-4292
- Subject:
- Bouteloua eriopoda; Prosopis glandulosa; arid grasslands; arid lands; cameras; canopy; computer software; ecosystems; growing season; leaves; moderate resolution imaging spectroradiometer; natural resource management; normalized difference vegetation index; rain; remote sensing; satellites; Southwestern United States
- Abstract:
- ... Near surface (i.e., camera) and satellite remote sensing metrics have become widely used indicators of plant growing seasons. While robust linkages have been established between field metrics and ecosystem exchange in many land cover types, assessment of how well remotely-derived season start and end dates depict field conditions in arid ecosystems remain unknown. We evaluated the correspondence b ...
- Handle:
- 10113/5883115
- DOI:
- 10.3390/rs9101071
- CHORUS:
- 10.3390/rs9101071
- https://doi.org/10.3390/rs9101071
- Author:
- Dawn M. Browning, et al. ; Caitriana M. Steele; Show all 2 Author
- Source:
- Remote Sensing 2013 v.5 no. pp. 327-341
- ISSN:
- 0271-0080
- Subject:
- drought; ecosystems; growing season; land management; landscapes; public lands; radiometry; rain; remote sensing; vegetation cover
- Abstract:
- ... Spatially-explicit depictions of plant productivity over large areas are critical to monitoring landscapes in highly heterogeneous arid ecosystems. Applying radiometric change detection techniques we sought to determine whether: (1) differences between pre- and post-growing season spectral vegetation index values effectively identify areas of significant change in vegetation; and (2) areas of sign ...
- Handle:
- 10113/57172
- DOI:
- 10.3390/rs5010327
- https://doi.org/10.3390/rs5010327
- Author:
- Dawn M. Browning, et al. ; Eric S. Russell; Guillermo E. Ponce-Campos; Nicole Kaplan; Andrew D. Richardson; Bijan Seyednasrollah; Sheri Spiegal; Nicanor Saliendra; Joseph G. Alfieri; John Baker; Carl Bernacchi; Brandon T. Bestelmeyer; David Bosch; Elizabeth H. Boughton; Raoul K. Boughton; Pat Clark; Gerald Flerchinger; Nuria Gomez-Casanovas; Sarah Goslee; Nick M. Haddad; David Hoover; Abdullah Jaradat; Marguerite Mauritz; Gregory W. McCarty; Gretchen R. Miller; John Sadler; Amartya Saha; Russell L. Scott; Andrew Suyker; Craig Tweedie; Jeffrey D. Wood; Xukai Zhang; Shawn D. Taylor; Show all 33 Authors
- Source:
- Ecological indicators 2021 v.131 pp. 108147
- ISSN:
- 1470-160X
- Subject:
- Landsat; Long-Term Agroecosystem Research Network; agroecosystems; carbon; climate; complement; decision making; eddy covariance; gross primary productivity; industry; instrumentation; landscapes; phenology; vegetation
- Abstract:
- ... Effective measurement of seasonal variations in the timing and amount of production is critical to managing spatially heterogeneous agroecosystems in a changing climate. Although numerous technologies for such measurements are available, their relationships to one another at a continental extent are unknown. Using data collected from across the Long-Term Agroecosystem Research (LTAR) network and o ...
- DOI:
- 10.1016/j.ecolind.2021.108147
- https://doi.org/10.1016/j.ecolind.2021.108147
- Author:
- Dawn M. Browning, et al. ; Sheri Spiegal; Richard E. Estell; Andres F. Cibils; Darren K. James; H. Raul Peinetti; Kirsten B. Romig; Alfredo L. Gonzalez; Andrew J. Lyons; Brandon T. Bestelmeyer; Show all 10 Authors
- Source:
- Rangeland ecology & management 2019 v.72 no.4 pp. 590-601
- ISSN:
- 1550-7424
- Subject:
- Angus; Hereford; cows; dry season; environmental impact; forage; forbs; global positioning systems; heat; heat tolerance; home range; landscapes; pastures; profitability; rangelands; soil; summer; sustainable agriculture; vegetation; Chihuahuan Desert; New Mexico
- Abstract:
- ... Adopting livestock with heritage genetics may help to improve the sustainability of agriculture on rangelands with harsh, challenging conditions. In the Chihuahuan Desert, preliminary evidence suggests that heritage Raramuri Criollo exploit a greater variety of range resources than do conventional cattle. Accordingly, the use of Raramuri Criollo may help sustain vegetation and soils, as well as ag ...
- DOI:
- 10.1016/j.rama.2019.02.008
- https://doi.org/10.1016/j.rama.2019.02.008
- Author:
- Dawn M Browning, et al. ; Brandon T Bestelmeyer; Debra P C Peters; Steven R Archer; Gregory S Okin; Robert L Schooley; Nicholas P Webb; Show all 7 Authors
- Source:
- BioScience 2018 v.68 no.9 pp. 678-690
- ISSN:
- 1525-3244
- Subject:
- arid lands; climate; drought; ecosystem services; grasslands; grazing; land degradation; livestock; perennial grasses; shrublands; shrubs; space and time; terrestrial ecosystems; Southwestern United States
- Abstract:
- ... Transitions from semiarid grassland to shrubland states are among the most widely recognized examples of regime shifts in terrestrial ecosystems. Nonetheless, the processes causing grassland–shrubland transitions and their consequences are incompletely understood. We challenge several misconceptions about these transitions in desert grasslands, including that (a) they are currently controlled by l ...
- DOI:
- 10.1093/biosci/biy065
- https://doi.org/10.1093/biosci/biy065
- Author:
- Dawn M. Browning, et al. ; Spiegal Sheri; Peter J.A. Kleinman; Dinku M. Endale; Ray B. Bryant; Curtis Dell; Sarah Goslee; Robert J. Meinen; K. Colton Flynn; John M. Baker; Greg McCarty; Shabtai Bittman; Jennifer Carter; Michel Cavigelli; Emily Duncan; Prasanna Gowda; Xia Li; Guillermo E. Ponce-Campos; Raj Cibin; Maria L. Silveira; Doulas R. Smith; Dan K. Arthur; Qichun Yang; Show all 23 Authors
- Source:
- Agricultural systems 2020 v.182 no. pp. -
- ISSN:
- 0308-521X
- Subject:
- beef; beef industry; biogeochemical cycles; concentrated animal feeding operations; cropland; crops; environmental health; farms; fertilizers; livestock production; nitrogen; nutrients; phosphorus; poultry; swine; United States
- Abstract:
- ... Nutrient recycling is fundamental to sustainable agricultural systems, but few mechanisms exist to ensure that surplus manure nutrients from animal feeding operations are transported for use on nutrient-deficient croplands. As a result, manure nutrients concentrate in locations where they can threaten environmental health and devalue manure as a fertilizer resource. This study advances the concept ...
- Datasets:
- Manuresheds: Redesigning crop-livestock agriculture for sustainable intensification
- Handle:
- 10113/6855981
- DOI:
- 10.1016/j.agsy.2020.102813
- CHORUS:
- 10.1016/j.agsy.2020.102813
- https://doi.org/10.1016/j.agsy.2020.102813
- Author:
- Dawn M. Browning, et al. ; Wenjie Ji; Niall P. Hanan; H. Curtis Monger; Debra P. C. Peters; Brandon T. Bestelmeyer; Steve R. Archer; C. Wade Ross; Brianna M. Lind; Julius Anchang; Sanath S. Kumar; Lara Prihodko; Show all 12 Authors
- Source:
- Ecosphere 2019 v.10 no.2 pp. e02590
- ISSN:
- 2150-8925
- Subject:
- basins; canopy; clay fraction; deserts; ecosystems; grasslands; perennials; plant available water; plant communities; rain; shrublands; shrubs; soil water retention; topography; trees; woody plants; Chihuahuan Desert; United States
- Abstract:
- ... The cover of woody perennial plants (trees and shrubs) in arid ecosystems is at least partially constrained by water availability. However, the extent to which maximum canopy cover is limited by rainfall and the degree to which soil water holding capacity and topography impacts maximum shrub cover are not well understood. Similar to other deserts in the U.S. southwest, plant communities at the Jor ...
- DOI:
- 10.1002/ecs2.2590
- https://doi.org/10.1002/ecs2.2590
- Author:
- Dawn M. Browning, et al. ; Michael C. Duniway; Show all 2 Author
- Source:
- Applied and environmental soil science 2011 v.2011 pp. 1-12
- ISSN:
- 1687-7675
- Subject:
- Landsat; arid lands; arid zones; automation; biogeography; case studies; image analysis; semiarid zones; soil classification; soil properties; soil surveys; spatial data; vegetation
- Abstract:
- ... Spatially-explicit data for soil properties governing plant water availability are needed to understand mechanisms influencing plant species distributions and predict plant responses to changing climate. This is especially important for arid and semi-arid regions. Spatial data representing surrogates for soil forming factors are becoming widely available (e.g. spectral and terrain layers). However ...
- Handle:
- 10113/57962
- DOI:
- 10.1155/2011/421904
- https://doi.org/10.1155/2011/421904
- Author:
- Dawn M. Browning, et al. ; Steven R. Archer; Show all 2 Author
- Source:
- Ecological applications 2011 v.21 no.5 pp. 1629-1642
- ISSN:
- 1051-0761
- Subject:
- Prosopis velutina; aboveground biomass; arid lands; conservation areas; desertification; fire science and management; grasses; grasslands; grazing effects; grazing management; herbicides; land management; landscapes; livestock; mortality; pesticide application; remote sensing; shrubs; Arizona
- Abstract:
- ... Desertification is often characterized by the replacement of mesophytic grasses with xerophytic shrubs. Livestock grazing is considered a key driver of shrub encroachment, although most evidence is anecdotal or confounded by other factors. Mapping of velvet mesquite (Prosopis velutina) shrubs in and out of exclosures in 1932, 1948, and 2006 in semiarid grasslands of southeastern Arizona, USA, affo ...
- DOI:
- 10.1890/10-0542.1
- https://doi.org/10.1890/10-0542.1
- Author:
- Dawn M. Browning, et al. ; Janet Franklin; Steven R. Archer; Jeffrey K. Gillan; D. Phillip Guertin; Show all 5 Authors
- Source:
- Ecological Applications 2014 v.24 no.6 pp. 1421-1433
- ISSN:
- 1051-0761
- Subject:
- Prosopis velutina; carbon; conservation areas; ecosystem management; ecosystems; geographical distribution; grasslands; grazing; grazing lands; hydrology; intraspecific competition; livestock; nitrogen; plant density; roots; seed dispersal; seedlings; shrublands; shrubs; spatial distribution; trees; vegetation structure; woody plants
- Abstract:
- ... Tree and shrub abundance has increased in many grasslands, causing changes in ecosystem carbon and nitrogen pools that are related to patterns of woody plant distribution. However, with regard to spatial patterns, little is known about (i) how they develop; (ii) how they are influenced by grazing; or (iii) the extent to which intraspecific interactions dictate them. We addressed these questions by ...
- Handle:
- 10113/59774
- DOI:
- 10.1890/13-2033.1
- https://doi.org/10.1890/13-2033.1