Results 31 to 40 of about 13,110,839 (301)

Density and Abundance Estimation of Amazonian River Dolphins: Understanding Population Size Variability

open access: yesJournal of Marine Science and Engineering, 2021
The dolphins Inia geoffrensis—boto and Sotalia fluviatilis—tucuxi are threatened cetaceans inhabiting river ecosystems in South America; population numbers are still lacking for many areas.
Mariana Paschoalini   +10 more
doaj   +1 more source

Egyptian Vulture in the Karatau Mountains and Adjacent Territories, Kazakhstan

open access: yesПернатые хищники и их охрана, 2022
Egyptian Vulture (Neophron percnopterus) is a globally threatened species. The northernmost limit of its breeding range is located in Kazakhstan and is fragmented into three large enclaves. The Karatau range is one such enclave. It was previously assumed
Igor V. Karyakin   +5 more
doaj   +1 more source

Drawn out of the shadows: Surveying secretive forest species with camera trap distance sampling

open access: yesJournal of Applied Ecology, 2020
With animal species disappearing at unprecedented rates, we need an efficient monitoring method providing reliable estimates of population density and abundance, critical for the assessment of population status and trend.
M. Bessone   +16 more
semanticscholar   +1 more source

Distance Sampling in R

open access: yesJournal of Statistical Software, 2019
Estimating the abundance and spatial distribution of animal and plant populations is essential for conservation and management. We introduce the R package Distance that implements distance sampling methods to estimate abundance. We describe how users can
David L. Miller   +4 more
doaj   +1 more source

Distance software: design and analysis of distance sampling surveys for estimating population size

open access: yesJournal of Applied Ecology, 2009
Summary 1. Distance sampling is a widely used technique for estimating the size or density of biological populations. Many distance sampling designs and most analyses use the software Distance. 2.
L. Thomas   +8 more
semanticscholar   +1 more source

Distance Sampling Methodology

open access: yesJournal of the Royal Statistical Society Series B: Statistical Methodology, 2001
Summary We consider the method of distance sampling described by Buckland, Anderson, Burnham and Laake in 1993. We explore the properties of the methodology in simple cases chosen to allow direct and accessible comparisons of distance sampling in the design- and model-based frameworks.
Barry, Simon C, Welsh, Alan
openaire   +3 more sources

Advanced Distance Sampling: Estimating Abundance of Biological Populations [PDF]

open access: yes, 2006
This book is edited by recognized leading experts in the field. Distance sampling methodology has been rapidly evolving since 1993 when the first four editors (STB, DRA, KPB, and JLL) published the book Distance Sampling.
Alpizar-Jara
core   +1 more source

Adaptive k-tree sample plot for the estimation of stem density: An empirical approach

open access: yesJournal of Forest Science, 2018
Available budgets for the inventory of non-commercial woodlands are small. Therefore, there has been increased interest in using distance methods, such as k-tree sampling, which are faster than fixed plot sampling.
Hormoz SOHRABI
doaj   +1 more source

A field test of unconventional camera trap distance sampling to estimate abundance of marmot populations

open access: yesWildlife Biology, 2020
The increasing use of remote motion-sensitive photography recently led to an extension of distance sampling (DS) to accommodate camera trap data. Camera trap distance sampling (CTDS) has been proposed as a promising tool to estimate animal abundance, if ...
L. Corlatti   +4 more
semanticscholar   +1 more source

Line transect estimates of Irrawaddy dolphin abundance along the eastern Gulf Coast of Thailand.

open access: yesFrontiers in Marine Science, 2015
Effective conservation of coastal marine mammals is largely dependent on reliable knowledge of their abundance, as well as the ecological and human factors driving their distribution.
Ellen eHines   +6 more
doaj   +1 more source

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