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001467878 001__ 1467878
001467878 003__ OCoLC
001467878 005__ 20230707003343.0
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001467878 008__ 230513s2023\\\\si\\\\\\ob\\\\000\0\eng\d
001467878 019__ $$a1378429752
001467878 020__ $$a9789819903092$$q(electronic bk.)
001467878 020__ $$a9819903092$$q(electronic bk.)
001467878 020__ $$z9819903084
001467878 020__ $$z9789819903085
001467878 0247_ $$a10.1007/978-981-99-0309-2$$2doi
001467878 035__ $$aSP(OCoLC)1378933403
001467878 040__ $$aEBLCP$$beng$$cEBLCP$$dGW5XE$$dYDX$$dEBLCP
001467878 049__ $$aISEA
001467878 050_4 $$aQH541.15.R57
001467878 08204 $$a333.71/4$$223/eng/20230515
001467878 1001_ $$aKamo, Masashi.
001467878 24510 $$aTheories in ecological risk assessment /$$cMasashi Kamo.
001467878 260__ $$aSingapore :$$bSpringer,$$c2023.
001467878 300__ $$a1 online resource (212 p.).
001467878 4901_ $$aTheoretical biology
001467878 504__ $$aIncludes bibliographical references.
001467878 5050_ $$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.
001467878 506__ $$aAccess limited to authorized users.
001467878 520__ $$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.
001467878 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed May 15, 2023).
001467878 650_0 $$aEcological risk assessment$$xMathematical models.
001467878 650_0 $$aEcological risk assessment$$xStatistical methods.
001467878 655_0 $$aElectronic books.
001467878 77608 $$iPrint version:$$aKamo, Masashi$$tTheories in Ecological Risk Assessment$$dSingapore : Springer,c2023$$z9789819903085
001467878 830_0 $$aTheoretical biology (Singapore)
001467878 852__ $$bebk
001467878 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-0309-2$$zOnline Access$$91397441.1
001467878 909CO $$ooai:library.usi.edu:1467878$$pGLOBAL_SET
001467878 980__ $$aBIB
001467878 980__ $$aEBOOK
001467878 982__ $$aEbook
001467878 983__ $$aOnline
001467878 994__ $$a92$$bISE