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Reimagining large river management using the Resist-Accept-Direct(RAD)framework in the Upper Mississippi River

Ecological Processes 2023年第1期12卷 645-664页

作者： Nicole K.Ward Abigail J.Lynch Erik A.Beever Joshua Booker Kristen L.Bouska Holly Embke Jeffrey N.Houser John F.Kocik Joshua Kocik David J.Lawrence Mary Grace Lemon Doug Limpinsel Madeline R.Magee Bryan M.Maitland Owen McKenna Andrew Meier John M.Morton Jeffrey D.Muehlbauer Robert Newman Devon C.Oliver Heidi M.Rantala Greg G.Sass Aaron Shultz Laura M.Thompson Jennifer L.Wilkening Minnesota Department of Natural Resources Lake CityMN 55041USA U.S.Geological Survey National Climate Adaptation Science CenterRestonVA 22041USA U.S.Geological Survey Northern Rocky Mountain Science CenterBozemanMT 59715USA Department of Ecology Montana State UniversityBozemanMT 59715USA U.S.Fish and Wildlife Service National Wildlife Refuge SystemOak HarborOH 43449USA U.S.Geological Survey Upper Midwest Environmental Sciences CenterLa CrosseWI 54603USA U.S.Geological Survey Midwest Climate Adaptation Science CenterSt.PaulMN 55108USA NOAA NEFSC OronoME 04473USA University of Nebraska-Lincoln LincolnNE 68503USA National Park Service Climate Change Response ProgramFort CollinsCO 80525USA U.S.Fish and Wild-life Service National Wildlife Refuge SystemBloomingtonMN 55437USA Habitat Conservation Division NOAAAlaska RegionAnchorageAK 99513USA Wisconsin Department of Natural Resources MadisonWI 53703USA Aquatic Sciences Center Center for LimnologyUW-MadisonMadisonWI 53706USA U.S.Geological Survey Northern Prairie Wildlife Research Center and Midwest Climate Adaptation Science CenterJamestownND 58401USA U.S.Army Corps of Engineers La CrescentMN 55947USA Alaska Wildlife Alliance AnchorageAK 99520USA U.S.Geological Survey Alaska Cooperative Fish and Wildlife Research UnitUniversity of Alaska FairbanksFairbanksAK 99775USA University of North Dakota Grand ForksND 58202USA Minnesota Department of Natural Resources DuluthMN 55804USA Wisconsin Department of Natural Resources Boulder JunctionWI 54512USA Great Lakes Indian Fish and Wildlife Commission(GLIFWC) OdanahWI 54861USA U.S.Geological Survey National Climate Adaptation Science Centerand School of Natural ResourcesUniversity of TennesseeKnoxvilleTN 37996USA U.S.Fish and Wildlife Service National Wildlife Refuge SystemFort CollinsCO 80526USA

Background Large-river decision-makers are charged with maintaining diverse ecosystem services through unprec-edented social-ecological transformations as climate change and other global stressors *** interconnected,dendritic habitats of rivers,which often demarcate jurisdictional boundaries,generate complex management ***,we explore how the Resist–Accept–Direct(RAD)framework may enhance large-river management by promoting coordinated and deliberate responses to social-ecological trajectories of *** RAD frame-work identifies the full decision space of potential management approaches,wherein managers may resist change to maintain historical conditions,accept change toward different conditions,or direct change to a specified future with novel *** the Upper Mississippi River System,managers are facing social-ecological transformations from more frequent and extreme high-water *** illustrate how RAD-informed basin-,reach-,and site-scale decisions could:(1)provide cross-spatial scale framing;(2)open the entire decision space of potential management approaches;and(3)enhance coordinated inter-jurisdictional management in response to the trajectory of the Upper Mississippi River *** The RAD framework helps identify plausible long-term trajectories in different reaches(or subbasins)of the river and how the associated social-ecological transformations could be managed by altering site-scale *** reach-scale objectives may reprioritize how,where,and when site conditions could be altered to contribute to the basin goal,given the basin’s plausible trajectories of change(e.g.,by coordinating action across sites to alter habitat connectivity,diversity,and redundancy in the river mosaic).Conclusions When faced with long-term systemic transformations(e.g.,>50 years),the RAD framework helps explicitly consider whether or when the basin vision or goals may no longer be achievable,and direct options may open y

关键词： Ecosystem Management Transformation Social-ecological system Anthropocene Climate change Basin planning cross-scale interactions

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Environmental and landscape influences on the spatial and temporal distribution of a cattle herd in a South Texas rangeland

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Ecological Processes 2020年第1期9卷 443-460页

作者： Christopher Cheleuitte-Nieves Humberto L.Perotto-Baldivieso XBen Wu Susan M.Cooper Department of Ecosystem Science and Management Texas A&M University2120 TAMU320 WFES BuildingCollege StationTX 77843-2138USA Present address:Center of Comparative Medicine and Pathology Memorial Sloan Kettering Cancer CenterWeill Cornell Medicineand Hospital for Special Surgery408 East 69th StreetZ-913New YorkNY 10021USA Caesar Kleberg Wildlife Research Institute Texas A&M University-Kingsville700 University Blvd.MSC 218KingsvilleTX 78363USA Texas A&M AgriLife Research 1619 Garner Field RoadUvaldeTX 78801USA

The multiple spatial and temporal parameters affecting cattle herd distribution and activity dynamics can significantly affect resource utilization but are not fully *** aim of this study was to determine whether current animal tracking technology and spatio-temporal analysis tools can be used to integrate multi-scale information on herd distribution patterns as a function of seasonal forage production,periods of the day,animal activity,and landscape *** and activity information of 11 free-ranging cows within a 31-member herd was obtained at 5-min intervals by using GPS collars for 1 year within a 457-ha ranch in the semi-arid rangelands of South *** biomass was calculated with satellite *** analysis of cattle distribution and landscape features was conducted with *** spread was greatest during the growing *** the year,during midday,the herd showed smaller spread and greater use of shade patches than any other time of *** also aggregated under trees in winter,particularly during the *** was no statistically significant overall pattern of seasonal changes in the use of water and supplemental feeding areas,but a trend toward highest use during the ***,significantly different diurnal patterns in the use of supplemental feed and water were observed within each *** study found a strong influence of shade patches relative to the influence of water and supplemental feeding areas on the diurnal and seasonal movement patterns of cattle in shrub-dominated *** this study used only 11 tracked cows in a 31-member herd,the results indicated that techniques such as seasonal and diurnal GPS tracking,GIS,and remote sensing data enable evaluation of multiple spatial and temporal dynamics of cattle distribution and activity *** smaller spread during the dry winter season associated with the observed aggregation of individuals in water and supplemental feeding ar

关键词： Cattle behavior cross-scale interactions GPS collars Group dispersion Normalized difference vegetation index(NDVI) Thermoregulation Ungulate grazing patterns

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