£59.30

Springer - Estimating Presence and Abundance of Closed Populations

Name: Springer - Estimating Presence and Abundance of Closed Populations
Brand: Springer
Price: 59.3 GBP
Availability: InStock

Biological Science

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Description

In an era of rapid biodiversity decline driven by climate change and human territory invasion, understanding population dynamics is more important than ever. This comprehensive book from Springer provides essential statistical methods for estimating the sizes and related parameters of closed populations. Designed for researchers and students in biology and health sciences, the text covers a wide range of subjects including plants, trees, various land and sea animals, and certain human populations. Because different species require different approaches, the book describes an extensive variety of methods tailored to diverse types of data. Readers will learn how to handle various data collections, such as count data from plot sampling, including methods that account for incomplete detection. This resource serves as a vital guide for those working to monitor species loss and manage the biological impacts of environmental changes through accurate statistical estimation.

Key Features

Covers diverse population types including plants, trees, land animals, sea animals, and human populations.

Provides a wide variety of statistical methods for estimating population sizes and related parameters.

Explains how to work with different data types, such as count data obtained from plot sampling.

Includes methods to address challenges like incomplete detection within biological studies.

Addresses modern environmental concerns such as biodiversity decline and climate change impacts.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 303139836X
Category: Books > Subjects > Science, Nature & Maths > Biological Sciences > Biological Science
Domain: Amazon UK
Release Date: 02 December 2024
Listed Since: 03 December 2024

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Springer - Estimating Presence and Abundance of Closed Populations

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