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  1. AU="J. Renée Brooks"
  2. AU="Santos, Daniel Wagner de Castro Lima"
  3. AU="Dong, Yujie"
  4. AU="Cnockaert, Margo"
  5. AU="Hong, Fan"
  6. AU="Zhao, Shiteng"
  7. AU="Zimmermann, Lisa"
  8. AU="Malone, Daniel C"
  9. AU="Kuo, Sheree"
  10. AU="Leonard, Warren J"
  11. AU=Hawthorne Dawn M
  12. AU=Zein Ahmad Fariz Malvi Zamzam
  13. AU="Delgado, Fernanda"
  14. AU="André Scherag"
  15. AU="Simring, Steven"
  16. AU="Gowdy, John M."
  17. AU="Yeldandi, Anjana"
  18. AU="Mierdel, Katrin"
  19. AU="Karaaslan, Ayse"
  20. AU="Fuchs, Ch"
  21. AU="Toro, Diana"
  22. AU="Lindner, Robert"
  23. AU="Meshkat, Shakila"
  24. AU="Geist, Felix"
  25. AU="Xiong, Yinyi"
  26. AU="Larciprete, R"
  27. AU="Camila Mugnai Vieira"
  28. AU="Michael Sjöström"
  29. AU="Bouchau, Robin"
  30. AU="Shahabi Rabori, Venus"
  31. AU="Jeronimo, Matthew"
  32. AU="Misra, Maitreyi"
  33. AU="Liu, Xuping"
  34. AU="Corinna Lüneburg"
  35. AU="Clement, Lionel C"
  36. AU="Parkhill, Julian"
  37. AU="Wiita, Arun P"
  38. AU=Lubrano Riccardo
  39. AU=Biggs Andrew
  40. AU="Lian, Kejian"
  41. AU="Almutairi, Abdulrahman"
  42. AU="Cosculluela-Pueyo, Rafaél"
  43. AU="Gehrs, Teresa"
  44. AU="Munir, Atif"
  45. AU="Ou, Ya-Nan"
  46. AU=Brown James E AU=Brown James E
  47. AU="Wang, Zhongmin"
  48. AU="Lemieux, Audrée"
  49. AU="Abdelhameed, Mohamed F"
  50. AU="Schaible, Lonnie M"
  51. AU="Yazie, Taklo Simeneh Yazie"
  52. AU="Jude Orumuah Agbugui"
  53. AU="Kruse, Robert L"
  54. AU="Shyama Nandakumar"
  55. AU="Gelb, M"
  56. AU="Gasparini, L"
  57. AU="Ulvila, J"
  58. AU="Länsimies, Helena"

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  1. Artikel ; Online: The extent to which soil hydraulics can explain ecohydrological separation

    Catherine E. Finkenbiner / Stephen P. Good / J. Renée Brooks / Scott T. Allen / Salini Sasidharan

    Nature Communications, Vol 13, Iss 1, Pp 1-

    2022  Band 8

    Abstract: Soil physics simulations show water isotope ratios can differ among drainage, mobile and immobile storages due to transport processes alone, but effects were smaller than field data implying unrepresented processes underly ecohydrologic separation. ...

    Abstract Soil physics simulations show water isotope ratios can differ among drainage, mobile and immobile storages due to transport processes alone, but effects were smaller than field data implying unrepresented processes underly ecohydrologic separation.
    Schlagwörter Science ; Q
    Sprache Englisch
    Erscheinungsdatum 2022-10-01T00:00:00Z
    Verlag Nature Portfolio
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  2. Artikel ; Online: National framework for ranking lakes by potential for anthropogenic hydro-alteration

    C. Emi Fergus / J. Renée Brooks / Philip R. Kaufmann / Amina I. Pollard / Alan T. Herlihy / Steven G. Paulsen / Marc H. Weber

    Ecological Indicators, Vol 122, Iss , Pp 107241- (2021)

    2021  

    Abstract: Lakes face multiple anthropogenic pressures that can substantially alter their hydrology. Dams and land use in the watershed (e.g., irrigated agriculture) can modify lake water regimes beyond natural ranges, and changing climate may exacerbate ... ...

    Abstract Lakes face multiple anthropogenic pressures that can substantially alter their hydrology. Dams and land use in the watershed (e.g., irrigated agriculture) can modify lake water regimes beyond natural ranges, and changing climate may exacerbate anthropogenic stresses on lake hydrology. However, we lack cost-effective indicators to quantify anthropogenic hydrologic alteration potential in lakes at regional and national extents. We developed a framework to rank lakes by the potential for dams and land use to alter lake hydrology (HydrAP) that can be applied at a national scale. The HydrAP framework principles are that 1) dams are primary drivers of lake hydro-alteration, 2) land use activities are secondary drivers that alter watershed hydrology, and 3) topographic relief limits where land use and dams are located on the landscape. We ranked lakes in the United States Environmental Protection Agency National Lakes Assessment (NLA) on a HydrAP scale from zero to seven, where a zero indicates lakes with no potential for anthropogenic hydro-alteration, and a seven indicates large dams and/or intensive land use with high potential to alter lake hydrology. We inferred HydrAP population distributions in the conterminous US (CONUS) using the NLA probabilistic weights. Half of CONUS lakes had moderate to high hydro-alteration potential (HydrAP ranks 3–7), the other half had minimal to no hydro-alteration potential (HydrAP ranks 0–2). HydrAP ranks generally corresponded with natural and man-made lake classes, but >15% of natural lakes had moderate to high HydrAP ranks and ~10% of man-made lakes had low HydrAP ranks. The Great Plains, Appalachians, and Coastal Plains had the largest percentages (>50%) of high HydrAP lakes, and the West and Midwest had the lowest percentages (~30%). Water residence time (τ) and water-level change were associated with HydrAP ranks, demonstrating the framework’s intended ability to differentiate anthropogenic stressors that can alter lake hydrology. High HydrAP lakes had shorter τ in all ...
    Schlagwörter Lake water balance ; Water-level fluctuations ; Anthropogenic stressors ; Regional and national assessments ; Hydrologic alteration indicator ; Ecology ; QH540-549.5
    Thema/Rubrik (Code) 550 ; 333
    Sprache Englisch
    Erscheinungsdatum 2021-03-01T00:00:00Z
    Verlag Elsevier
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

    Volltext online

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