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Modelling insect populations in agricultural landscapes

Record Type:	Electronic resources : Monograph/item
Title/Author:	Modelling insect populations in agricultural landscapesedited by Rafael A. Moral, Wesley A.C. Godoy.
other author:	A. Moral, Rafael.
Published:	Cham :Springer International Publishing :2023.
Description:	xv, 238 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Insect populationsMathematical models.
Online resource:	https://doi.org/10.1007/978-3-031-43098-5
ISBN:	9783031430985$q(electronic bk.)

Modelling insect populations in agricultural landscapes
Modelling insect populations in agricultural landscapes[electronic resource] /edited by Rafael A. Moral, Wesley A.C. Godoy. - Cham :Springer International Publishing :2023. - xv, 238 p. :ill. (some col.), digital ;24 cm. - Entomology in focus,v. 82405-8548 ;. - Entomology in focus ;v.1..

Introduction -- Introducing different modelling scenarios to entomologists -- Monte Carlo simulations to model the behaviour of agricultural pests and their natural enemies -- Movement Ecology -- Transition models applied to interactions involving agricultural pests -- Spatial Agent-Based Model With Rules Inspired In Game-Theory: Cases In Insect Resistance Management -- Pest biocontrol and Allee effects acting on the control agent population: Insights from predator-prey models -- On Matrix Stability and Ecological Models -- Machine Vision Applied to Entomology -- Bayesian N-Mixture Models Applied to Estimating Insect Abundance -- Tools for Assessing Goodness-of-fit of GLMs: Case Studies in Entomology.

This book combines chapters emphasising mathematical, statistical, and computational modelling applied to insect populations, particularly pests or natural enemies in agricultural landscapes. There is a gap between agricultural pest experimentation and ecological theory, which requires a connection to supply models with laboratory, and field estimates and projects receiving inputs and insights from models. In addition, decision-making in entomology with respect to pest management and biological conservation of natural enemies has been supported by results obtained from different computational and mathematical approaches. This book brings contemporary issues related to optimization in spatially structured landscapes, insect movement, stability analysis, game theory, machine learning, computer vision, Bayesian modelling, as well as other frameworks.

ISBN: 9783031430985$q(electronic bk.)

Standard No.: 10.1007/978-3-031-43098-5doiSubjects--Topical Terms:

193739
Insect populations
--Mathematical models.

LC Class. No.: QL496.15

Dewey Class. No.: 595.71788

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245 0 0 $a Modelling insect populations in agricultural landscapes $h [electronic resource] / $c edited by Rafael A. Moral, Wesley A.C. Godoy.
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490 1 $a Entomology in focus, $x 2405-8548 ; $v v. 8
505 0 $a Introduction -- Introducing different modelling scenarios to entomologists -- Monte Carlo simulations to model the behaviour of agricultural pests and their natural enemies -- Movement Ecology -- Transition models applied to interactions involving agricultural pests -- Spatial Agent-Based Model With Rules Inspired In Game-Theory: Cases In Insect Resistance Management -- Pest biocontrol and Allee effects acting on the control agent population: Insights from predator-prey models -- On Matrix Stability and Ecological Models -- Machine Vision Applied to Entomology -- Bayesian N-Mixture Models Applied to Estimating Insect Abundance -- Tools for Assessing Goodness-of-fit of GLMs: Case Studies in Entomology.
520 $a This book combines chapters emphasising mathematical, statistical, and computational modelling applied to insect populations, particularly pests or natural enemies in agricultural landscapes. There is a gap between agricultural pest experimentation and ecological theory, which requires a connection to supply models with laboratory, and field estimates and projects receiving inputs and insights from models. In addition, decision-making in entomology with respect to pest management and biological conservation of natural enemies has been supported by results obtained from different computational and mathematical approaches. This book brings contemporary issues related to optimization in spatially structured landscapes, insect movement, stability analysis, game theory, machine learning, computer vision, Bayesian modelling, as well as other frameworks.
650 0 $a Insect populations $x Mathematical models. $3 193739
650 0 $a Entomology. $3 275157
650 1 4 $a Agriculture. $3 274257
650 2 4 $a Animal Science. $3 911849
650 2 4 $a Landscape Ecology. $3 273943
650 2 4 $a Mathematical and Computational Biology. $3 514442
650 2 4 $a Applied Ecology. $3 273940
700 1 $a A. Moral, Rafael. $3 965792
700 1 $a Godoy, Wesley A.C. $3 701524
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