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Erica Fleishman

Showing results (11-20 of 50) with videos related to

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Conservation Biology : the Journal of the Society for Conservation Biology|June 15, 2022
Status of the UnionErica Fleishman, Carol L Boggs, M Claire Devine, et al.
Ecological Applications : a Publication of the Ecological Society of America|June 24, 2022
Multiple-region, N-mixture community model to assess associations of riparian area, fragmentation, and species richnessFrank A Fogarty, Jian D L Yen, Erica Fleishman, et al.
Oecologia|March 7, 2014
Nestedness analysis and conservation planning: the importance of place, environment, and life history across taxonomic groupsErica Fleishman, Christopher J Betrus, Robert B Blair, et al.
Biological Reviews of the Cambridge Philosophical Society|May 4, 2023
Ecological inferences about marine mammals from passive acoustic dataErica Fleishman, Danielle Cholewiak, Douglas Gillespie, et al.
Environmental Management|May 19, 2009
Options for national parks and reserves for adapting to climate changeJill S Baron, Lance Gunderson, Craig D Allen, et al.
The Journal of the Acoustical Society of America|December 31, 2022
Silbido profundo: An open source package for the use of deep learning to detect odontocete whistlesPeter C Conant, Pu Li, Xiaobai Liu, et al.
Conservation Biology : the Journal of the Society for Conservation Biology|October 14, 2008
Enhancing the engagement of U.S. private foundations with conservation scienceErika Zavaleta, Daniel C Miller, Nick Salafsky, et al.
Trends in Ecology & Evolution|January 7, 2019
Ten Years On: A Review of the First Global Conservation Horizon ScanWilliam J Sutherland, Erica Fleishman, Mick Clout, et al.
Ecological Applications : a Publication of the Ecological Society of America|July 30, 2010
Bayesian change point analysis of abundance trends for pelagic fishes in the upper San Francisco EstuaryJames R Thomson, Wim J Kimmerer, Larry R Brown, et al.
Scientific Reports|October 22, 2021
Author Correction: Deep neural networks for automated detection of marine mammal speciesYu Shiu, K J Palmer, Marie A Roch, et al.
Pageof 5

Showing results (11-20 of 50) with videos related to

Sort By:
Pageof 5
Conservation Biology : the Journal of the Society for Conservation Biology|June 15, 2022
Status of the UnionErica Fleishman, Carol L Boggs, M Claire Devine, et al.
Ecological Applications : a Publication of the Ecological Society of America|June 24, 2022
Multiple-region, N-mixture community model to assess associations of riparian area, fragmentation, and species richnessFrank A Fogarty, Jian D L Yen, Erica Fleishman, et al.
Oecologia|March 7, 2014
Nestedness analysis and conservation planning: the importance of place, environment, and life history across taxonomic groupsErica Fleishman, Christopher J Betrus, Robert B Blair, et al.
Biological Reviews of the Cambridge Philosophical Society|May 4, 2023
Ecological inferences about marine mammals from passive acoustic dataErica Fleishman, Danielle Cholewiak, Douglas Gillespie, et al.
Environmental Management|May 19, 2009
Options for national parks and reserves for adapting to climate changeJill S Baron, Lance Gunderson, Craig D Allen, et al.
The Journal of the Acoustical Society of America|December 31, 2022
Silbido profundo: An open source package for the use of deep learning to detect odontocete whistlesPeter C Conant, Pu Li, Xiaobai Liu, et al.
Conservation Biology : the Journal of the Society for Conservation Biology|October 14, 2008
Enhancing the engagement of U.S. private foundations with conservation scienceErika Zavaleta, Daniel C Miller, Nick Salafsky, et al.
Trends in Ecology & Evolution|January 7, 2019
Ten Years On: A Review of the First Global Conservation Horizon ScanWilliam J Sutherland, Erica Fleishman, Mick Clout, et al.
Ecological Applications : a Publication of the Ecological Society of America|July 30, 2010
Bayesian change point analysis of abundance trends for pelagic fishes in the upper San Francisco EstuaryJames R Thomson, Wim J Kimmerer, Larry R Brown, et al.
Scientific Reports|October 22, 2021
Author Correction: Deep neural networks for automated detection of marine mammal speciesYu Shiu, K J Palmer, Marie A Roch, et al.
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