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Author
Christopher John Topping
Social-Ecological Systems Simulation Centre, Aarhus University
Aarhus C, Denmark
https://pure.au.dk/portal/en/persons/...
17 articles by this author
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Methods
Development of a spatio-temporal representation of agricultural landscapes as the modelling environment for spatially explicit agent-based models in the Animal Landscape and Man Simulation System (ALMaSS)
Elżbieta Ziółkowska
,
Barbara Jaśkowiec
,
Geoffrey Brian Groom
,
Christopher John Topping
Part of: PollinERA – Understanding pesticide-Pollinator interactions to support EU Environmental Risk Assessment and policy
10.3897/aem.8.167439
29-04-2026
Unique: 905 | Total: 1135
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Formal Model Article Format
Integrating spatial and environmental stressors in a population model of
Folsomia candida
(Collembola, Isotomidae): a Formal Model within ALMaSS framework
Liyan Xie
,
Xiaodong Duan
,
Sarem Norouzi
,
Lis Wollesen de Jonge
,
Christopher J. Topping
10.3897/aem.8.184962
27-04-2026
Unique: 860 | Total: 1060
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Reprint: € 9,00
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Editorial
A journal by modellers, for modellers: Introducing Agricultural and Environmental Modelling
Christopher J. Topping
,
Nicole Nogoy
,
Iva Boyadzhieva
,
Pavel Stoev
,
Lyubomir Penev
10.3897/aem.8.194160
14-04-2026
Unique: 933 | Total: 1140
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Formal Model Article Format
The Formal Model for the hoverfly
Sphaerophoria scripta
(Diptera, Syrphidae) agent-based model in the Animal Landscape and Man Simulation System (ALMaSS)
Elżbieta Ziółkowska
,
Grzegorz Sowa
,
Xiaodong Duan
,
Christopher John Topping
Part of: PollinERA – Understanding pesticide-Pollinator interactions to support EU Environmental Risk Assessment and policy
10.3897/fmj.7.169793
27-02-2026
Unique: 1585 | Total: 2148
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Formal Model Article Format
The Formal Model for
Noctua pronuba
(Lepidoptera, Noctuidae) representing a typical agricultural-landscape night-flying moth species for pesticide risk assessment
Christopher John Topping
,
Lars B. Pettersson
Part of: PollinERA – Understanding pesticide-Pollinator interactions to support EU Environmental Risk Assessment and policy
10.3897/fmj.6.165232
10-12-2025
Unique: 1681 | Total: 2052
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Formal Model Article Format
The Formal Model for
Coccinella septempunctata
for implementation in Animal Landscape and Man Simulation System
Christopher John Topping
,
Elżbieta Ziółkowska
,
Andrey Chuhutin
,
Xiaodong Duan
10.3897/fmj.6.152914
07-08-2025
Unique: 2050 | Total: 2477
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Formal Model Article Format
The Formal Model for the hoverfly
Eristalis tenax
(Diptera, Syrphidae) agent-based model in the Animal Landscape and Man Simulation System (ALMaSS)
Elżbieta Ziółkowska
,
Aleksandra Walczyńska
,
Christopher John Topping
Part of: PollinERA – Understanding pesticide-Pollinator interactions to support EU Environmental Risk Assessment and policy
10.3897/fmj.6.152847
18-07-2025
Unique: 3163 | Total: 4005
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Formal Model Article Format
The Formal Model for the butterfly
Pieris napi
(Lepidoptera, Pieridae) agent-based model in the Animal Landscape and Man Simulation System (ALMaSS)
Christopher John Topping
,
Xiaodong Duan
Part of: PollinERA – Understanding pesticide-Pollinator interactions to support EU Environmental Risk Assessment and policy
10.3897/fmj.6.142802
14-02-2025
Unique: 2584 | Total: 3604
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Methods
A general subpopulation model for the Animal Landscape and Man Simulation System (ALMaSS)
Xiaodong Duan
,
Christopher J. Topping
10.3897/fmj.5.122467
12-11-2024
Unique: 2068 | Total: 2543
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Formal Model Article Format
Formal model for
Acyrthosiphon pisum
,
Aphis fabae
,
Myzus persicae
and
Sitobion avenae
using the ALMaSS subpopulation approach
Peet Thomsen
,
Xiaodong Duan
,
Christopher John Topping
10.3897/fmj.5.123747
11-07-2024
Unique: 3464 | Total: 4394
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Methods
ALMaSS Landscape and Farming Simulation: software classes and methods
Christopher John Topping
,
Xiaodong Duan
10.3897/fmj.5.121215
27-06-2024
Unique: 2819 | Total: 3614
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Methods
Managing large and complex population operations with agent-based models: The ALMaSS Population_Manager
Christopher John Topping
,
Xiaodong Duan
10.3897/fmj.5.117593
06-03-2024
Unique: 2416 | Total: 2919
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Reprint: € 6,00
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