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020 _a9789819903092
024 7 _a10.1007/978-981-99-0309-2
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQH541
_b2023 EB
100 1 _aKamo, Masashi
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9689808
245 1 0 _aTheories in Ecological Risk Assessment
_cby Masashi Kamo
250 _a1st ed. 2023
264 1 _aSingapore
_bSpringer Nature Singapore
_c2023
300 _a1 recurso en línea
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
490 0 _aTheoretical Biology
_x2522-0446
505 0 _a0. Introduction - Ecologist in Wonderland -- Part 1. Linking Ecotoxicology and Ecology -- Chapter 1. Basic Concepts of Ecological Risk Assessment -- Chapter 2. Population-level assessment -- Chapter 3. Population models of extinction -- Chapter 4. Population level assessment using the canonical model -- Part 2. Models for ecotoxicology -- Chapter 5. Species Sensitivity Distribution in Ecological Risk Assessment -- Chapter 6. BLM: A model for predicting metal toxicities -- Chapter 7.Mathematical models for chemical mixtures -- Chapter 8.Statistics and related topics.
520 _aThis book introduces various mathematical models used in ecological risk assessment, primarily discussing models used in hazard assessment. The book aims to link ecology and conservation biology with risk assessments, bringing together the knowledge of ecotoxicology and ecology for effective risk assessment. The first part describes population-level assessment in ecological risk assessment. The chapters cover current methodologies for ecological risk assessment, individual-level assessment, population dynamics models for population-level assessment, case studies, mathematical models for population extinctions, the derivation of mean time to extinction (MTE) and their case studies. The second part of the book discusses the mathematical models involved in hazard assessments. It introduces the method of risk assessment using species sensitivity distributions (SSDs), hazard assessment of metals, chemical mixtures using the Michaelis-Menten equation, basic elements of statistics and related topics. Expected readers are risk assessors in governments and public sectors, students and young researchers interested in environmental science. The book is made accessible and easy to follow by beginners in mathematical biology and theoretical ecology.
988 _aSpringer_BiomedLife_2023
650 7 _2embne
_9404984
_aEcología
650 7 _2embne
_9154176
_aEvaluación del riesgo
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-99-0309-2
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b03/2024
_dz
_eb
_zSI