An expert‐based system to predict population survival rate from health data
Supporting Files
-
2023
-
Details
-
Journal Title:Conservation Biology
-
Personal Author:Schwacke, Lori H.
;
Thomas, Len
;
Wells, Randall S.
;
Rowles, Teresa K.
;
Bossart, Gregory D.
;
Townsend, Forrest
;
Mazzoil, Marilyn
;
Allen, Jason B.
;
Balmer, Brian C.
;
Barleycorn, Aaron A.
;
Barratclough, Ashley
;
Burt, Louise
;
De Guise, Sylvain
;
Fauquier, Deborah
;
Gomez, Forrest M.
;
Kellar, Nicholas M.
;
Schwacke, John H.
;
Speakman, Todd R.
;
Stolen, Eric D.
;
Quigley, Brian M.
;
Zolman, Eric S.
;
Smith, Cynthia R.
-
NOAA Program & Office:
-
Description:Timely detection and understanding of causes for population decline are essential for effec- tive wildlife management and conservation. Assessing trends in population size has been the standard approach, but we propose that monitoring population health could prove more effective. We collated data from 7 bottlenose dolphin ( Tursiops trun catus) populations in the southeastern United States to develop a method for estimating survival probabil- ity based on a suite of health measures identified by experts as indices for inflammatory,
-
Keywords:
-
Source:Conservation Biology (2023)
-
DOI:
-
ISSN:0888-8892 ; 1523-1739
-
Format:
-
Publisher:
-
Document Type:
-
License:
-
Rights Information:CC BY
-
Compliance:Library
-
Main Document Checksum:urn:sha256:474a550e4494941c2e83a420a958c24c256667c5043203578db859253dfb8afa
-
Download URL:
-
File Type:
Supporting Files
ON THIS PAGE
The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles,
guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the
NOAA IR retains documents in their original published format to ensure public access to scientific information.
You May Also Like
COLLECTION
National Marine Fisheries Service (NMFS)