Making the most of sparse data to estimate density of a rare and threatened species: a case study with the fosa, a little‐studied Malagasy carnivore
Animal Conservation, 2018 - Wiley Online Library
Sparse detections in camera trap surveys commonly hinder density estimation for
threatened species. By combining detections across multiple surveys, or using informative …
threatened species. By combining detections across multiple surveys, or using informative …
Making the most of sparse data to estimate density of a rare and threatened species: a case study with the fosa, a little‐studied Malagasy carnivore.
A Murphy, BD Gerber, ZJ Farris… - Animal …, 2018 - search.ebscohost.com
Sparse detections in camera trap surveys commonly hinder density estimation for
threatened species. By combining detections across multiple surveys, or using informative …
threatened species. By combining detections across multiple surveys, or using informative …
Making the most of sparse data to estimate density of a rare and threatened species: a case study with the fosa, a little-studied Malagasy carnivore
A Murphy, BD Gerber, ZJ Farris… - Animal …, 2018 - digitalcommons.uri.edu
Sparse detections in camera trap surveys commonly hinder density estimation for
threatened species. By combining detections across multiple surveys, or using informative …
threatened species. By combining detections across multiple surveys, or using informative …
Making the most of sparse data to estimate density of a rare and threatened species: a case study with the fosa, a little-studied Malagasy carnivore.
A Murphy, BD Gerber, ZJ Farris, S Karpanty… - 2018 - cabidigitallibrary.org
Sparse detections in camera trap surveys commonly hinder density estimation for
threatened species. By combining detections across multiple surveys, or using informative …
threatened species. By combining detections across multiple surveys, or using informative …
[PDF][PDF] Making the most of sparse data to estimate density of a rare and threatened species: a case study with the fosa, a little-studied Malagasy carnivore
A Murphy, BD Gerber, ZJ Farris, S Karpanty… - uri.edu
Sparse detections in camera trap surveys commonly hinder density estimation for
threatened species. By combining detections across multiple surveys, or using informative …
threatened species. By combining detections across multiple surveys, or using informative …
[引用][C] Making the most of sparse data to estimate density of a rare and threatened species: A case study with the fosa, a little‐studied Malagasy carnivore
A Murphy, BD Gerber, ZJ Farris, S Karpanty… - 2019 - library.wcs.org
0.006) and density/movement estimates were similar across forest types. Density estimates
at resurveyed sites suggested annual variability in density, with estimates trending lower …
at resurveyed sites suggested annual variability in density, with estimates trending lower …
[PDF][PDF] Making the most of sparse data to estimate density of a rare and threatened species: a case study with the fosa, a little-studied Malagasy carnivore
A Murphy, BD Gerber, ZJ Farris, S Karpanty… - usgs-cru-individual-data.s3 …
Sparse detections in camera trap surveys commonly hinder density estimation for
threatened species. By combining detections across multiple surveys, or using informative …
threatened species. By combining detections across multiple surveys, or using informative …
[引用][C] Making the most of sparse data to estimate density of a rare and threatened species: A case study with the fosa, a little‐studied Malagasy carnivore
A Murphy, BD Gerber, ZJ Farris, S Karpanty… - 2019 - programs.wcs.org
0.006) and density/movement estimates were similar across forest types. Density estimates
at resurveyed sites suggested annual variability in density, with estimates trending lower …
at resurveyed sites suggested annual variability in density, with estimates trending lower …
Making the most of sparse data to estimate density of a rare and threatened species: a case study with the fosa, a little‑studied Malagasy carnivore
A Murphy, BD Gerber, ZJ Farris… - Animal …, 2018 - ui.adsabs.harvard.edu
Sparse detections in camera trap surveys commonly hinder density estimation for
threatened species. By combining detections across multiple surveys, or using informative …
threatened species. By combining detections across multiple surveys, or using informative …
[引用][C] Making the most of sparse data to estimate density of a rare and threatened species: a case study with the fosa, aĀ little-studied Malagasy carnivore
A Murphy, BD Gerber, ZJ Farris, S Karpanty… - Animal …, 2018 - par.nsf.gov