Using population models to estimate the expected benefit of management actions : case studies of six aquatic species / Jian D.L. Yen, Zeb Tonkin, Charles Todd, Daniel Stoessel, Tarmo A. Raadik and Jarod Lyon

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Yen, Jian D.L
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Heidelberg, Victoria : Arthur Rylah Institute for Environmental Research, [2021] ©2021
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9781761056499 (ISBN)

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http://nla.gov.au/nla.obj-2994454987

APA citation

Yen, Jian D.L & Arthur Rylah Institute for Environmental Research, issuing body. (2021). Using population models to estimate the expected benefit of management actions : case studies of six aquatic species Retrieved December 2, 2022, from http://nla.gov.au/nla.obj-2994454987

MLA citation

Yen, Jian D.L and Arthur Rylah Institute for Environmental Research, issuing body. Using population models to estimate the expected benefit of management actions : case studies of six aquatic species Heidelberg, Victoria: Arthur Rylah Institute for Environmental Research, 2021. Web. 2 December 2022 <http://nla.gov.au/nla.obj-2994454987>

Harvard/Australian citation

Yen, Jian D.L & Arthur Rylah Institute for Environmental Research, issuing body. 2021, Using population models to estimate the expected benefit of management actions : case studies of six aquatic species Arthur Rylah Institute for Environmental Research, Heidelberg, Victoria viewed 2 December 2022 http://nla.gov.au/nla.obj-2994454987

Wikipedia citation

{{Citation
  | author1=Yen, Jian D.L.
  | author2=Arthur Rylah Institute for Environmental Research, issuing body.
  | title=Using population models to estimate the expected benefit of management actions : case studies of six aquatic species
  | year=2021
  | section=1 online resource.
  | isbn=9781761056499
  | series=Technical report series (Arthur Rylah Institute for Environmental Research) ;
  | location=Heidelberg, Victoria
  | publisher=Arthur Rylah Institute for Environmental Research
  | url=http://nla.gov.au/nla.obj-2994454987
  | id=nla.obj-2994454987
  | access-date=2 December 2022
  | via=Trove
}}

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Until 2071 [Created/Published Date + 50 Years]

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