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Papers published: 45

Documents added: 46

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ALMaSS Outputs
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Edited by Christopher John Topping, Elżbieta Ziółkowska, James Williams, Xiaodong Duan, Teodor Metodiev
This collection brings together all outputs related to the Animal Landscape and Man Simulation System (ALMaSS). ALMaSS combines highly detailed landscape simulation together with agent-based and sub-population models to create a rich a detailed representation of social-ecological systems. Development of ALMaSS is a multi-disciplinary and multi-national endeavour bringing together ecologists, software engineers, geographers, social scientists and a range of subject specialists to create the specific models making up the system. The development of ALMaSS started over 20 years ago supported by Danish national funding, and continues today primarily supported by EU funding from a range of projects.
Research Article
Published in: PLOS ONE
Is the effectiveness of policy-driven mitigation measures on carabid populations driven by landscape and farmland heterogeneity? Applying a modelling approach in the Dutch agroecosystems
Elżbieta Ziółkowska, Aaldrik Tiktak,     Christopher John Topping
10.1371/journal.pone.0279639
 27-12-2022
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Research Article
Published in: Research Ideas and Outcomes
The Animal Landscape and Man Simulation System (ALMaSS): a history, design, and philosophy
    Christopher John Topping
10.3897/rio.8.e89919
 07-07-2022
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Research Article
Published in: Umweltinformationssysteme - Wie trägt die Digitalisierung zur Nachhaltigkeit bei?
Datenaufbereitung für ALMaSS
Susanne Stein, Dominic Raja, Hella Kehlenbeck,     Christopher John Topping, Elżbieta Ziółkowska, B. Golla
10.1007/978-3-658-35685-9_12
 03-04-2022
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Research Article
Published in: EFSA Supporting Publications
ApisRAM Formal Model Description
    Xiaodong Duan, David Wallis, Fani Hatjina, Noa Simon-Delso, Annette B. Jensen,     Christopher John Topping
10.2903/sp.efsa.2022.EN-7184
 25-02-2022
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Research Article
Published in: Science of The Total Environment
Supporting non-target arthropods in agroecosystems: Modelling effects of insecticides and landscape structure on carabids in agricultural landscapes
Elżbieta Ziółkowska,     Christopher John Topping, Agnieszka Bednarska,     Ryszard Laskowski
10.1016/j.scitotenv.2021.145746
 20-06-2021
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Research Article
Published in: Science of The Total Environment
European hares do not avoid newly pesticide-sprayed fields: Overspray as unnoticed pathway of pesticide exposure
Martin Mayer,     Xiaodong Duan, Peter Sunde,     Christopher John Topping
10.1016/j.scitotenv.2020.136977
 01-05-2020
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Research Article
Published in: Agricultural Systems
Landscape-scale simulations as a tool in multi-criteria decision making to support agri-environment schemes
    Christopher John Topping, Lars Dalby, Jose w. Valdez
10.1016/j.agsy.2019.102671
 01-11-2019
LINK
Research Article
Published in: Human Dimensions of Wildlife
Where to go goose hunting? Using pattern-oriented modeling to better understand human decision processes
James henty Williams,     Christopher John Topping, Lars Dalby, Kevin K. Clausen, Jesper Madsen
10.1080/10871209.2018.1509249
 21-08-2018
LINK
Research Article
Published in: EFSA Journal
Scientific Opinion on the state of the science on pesticide risk assessment for amphibians and reptiles. EFSA Panel on Plant Protection Products and Residues (PPR).
Colin Ockleford, Paulien Adriaanse, Phillipe Berny, Theodorus Brock, Sabine Dusquesne, Sandro Grilli, Antonio F. Hernandez-Jerez, Susanne Hougaard Bennekou, Michael Klein, Thomas Kuhl,     Ryszard Laskowski, Kyriaki Machera, Olavi Pelkonen, Silvia Pieper, Stemmer Michael, Ignvar Sundh, Ivana Teodorvic, Aaldrik Tiktak,     Christopher John Topping, Gerrit Wolternik, Annette Aldrich, Cecilia Berg, Manuel Ortiz-Santaliestra, Scott Weir, Franz Streissl, Robert h Smith
10.2903/j.efsa.2018.5125
 23-02-2018
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Research Article
Published in: Environmental Modeling & Assessment
Rabbit Population Landscape-Scale Simulation to Investigate the Relevance of Using Rabbits in Regulatory Environmental Risk Assessment
    Christopher John Topping, Gabriel S. Weyman
10.1007/s10666-017-9581-3
 10-11-2017
LINK
Research Article
Published in: Journal of Applied Ecology
Applying a biocomplexity approach to modelling farmer decision-making and land use impacts on wildlife
Anne Malowska,     Christopher John Topping
10.1111/1365-2664.13024
 09-11-2017
LINK
Research Article
Published in: Regulatory Toxicology and Pharmacology
Simulation to aid in interpreting biological relevance and setting of population-level protection goals for risk assessment of pesticides
    Christopher John Topping, Robert Lutikk
10.1016/j.yrtph.2017.07.011
 01-10-2017
LINK
Research Article
Published in: Land Use Policy
A modelling approach to evaluating the effectiveness of Ecological Focus Areas: The case of the European brown hare
Maria Langhammer, Volker Grimm, Sandro Putz,     Christopher John Topping
10.1016/j.landusepol.2016.11.004
 01-02-2017
LINK
Research Article
Published in: Frontiers in Environmental Science
Modeling Exposure of Mammalian Predators to Anticoagulant Rodenticides
    Christopher John Topping, Morten Elmeros
10.3389/fenvs.2016.00080
 19-12-2016
LINK
Research Article
Published in: Agricultural Systems
Evaluating the role of behavioral factors and practical constraints in the performance of an agent-based model of farmer decision making
Anne Malowska,     Christopher John Topping
10.1016/j.agsy.2015.12.014
 01-03-2016
LINK
Research Article
Published in: EFSA Journal
Recovery in environmental risk assessments at EFSA
EFSA Scientific Committee
10.2903/j.efsa.2016.4313
 03-02-2016
LINK
Research Article
Published in: Science of The Total Environment
Landscape structure and management alter the outcome of a pesticide ERA: Evaluating impacts of endocrine disruption using the ALMaSS European Brown Hare model
    Christopher John Topping, Lars Dalby, Flemming Skov
10.1016/j.scitotenv.2015.10.042
 15-01-2016
LINK
Research Article
Published in: Science of The Total Environment
Towards a landscape scale management of pesticides: ERA using changes in modelled occupancy and abundance to assess long-term population impacts of pesticides
    Christopher John Topping, Peter s. Craig, Frank de Jong, Michael Klein, Ryszard Laskowski, Barbara Manachini, Silvia Pieper, Rob Smith, José paulo Sousa, Franz Streissl, Klaus Swarowsky, Aaldrik Tiktak, Ton van der Linden
10.1016/j.scitotenv.2015.07.152
 12-12-2015
LINK
Research Article
Published in: Integrated Environmental Assessment and Management
An example of population-level risk assessments for small mammals using individual-based population models
Walter Schmitt, Auteri Domenica, Finn Bastiansen, Markus Ebeling, Chun Liu, Robert Lutikk, Sergey Mastitsky, Dianne Nacci,     Christopher John Topping, Magnus Wang
10.1002/ieam.1640
 03-06-2015
LINK
Research Article
Published in: EFSA Journal
Scientific Opinion addressing the state of the science on risk assessment of plant protection products for non‐target arthropods
10.2903/j.efsa.2015.3996
 12-02-2015
LINK
Research Article
Published in: Environmental Toxicology and Chemistry
Recovery based on plot experiments is a poor predictor of landscape-level population impacts of agricultural pesticides
    Christopher John Topping, Lene Jung Kjær, Udo Hommen, Toke Thomas Høye, Thomas G. Preuss, Richard m. Sibly, Peter van Vliet
10.1002/etc.2388
 09-05-2014
LINK
Research Article
Published in: Landscape Ecology
Landscape structure mediates the effects of a stressor on field vole populations
Trine Dalkvist, Richard m. Sibly,     Christopher John Topping
10.1007/s10980-013-9932-7
 22-08-2013
LINK
Research Article
Published in: Environmental Modelling & Software
A Bayesian sensitivity analysis applied to an Agent-based model of bird population response to landscape change
Hazel Parry,     Christopher John Topping, Marc c. Kennedy, Nigel Boatman, Alistair w.a. Murray
10.1016/j.envsoft.2012.08.006
 01-07-2013
LINK
Research Article
Published in: PLoS ONE
Modelling Skylarks (Alauda arvensis) to Predict Impacts of Changes in Land Management and Policy: Development and Testing of an Agent-Based Model
    Christopher John Topping, Peter Odderskær, Johnny Kahlært
10.1371/journal.pone.0065803
 06-06-2013
LINK
Research Article
Published in: PLoS ONE
Post-Hoc Pattern-Oriented Testing and Tuning of an Existing Large Model: Lessons from the Field Vole
    Christopher John Topping, Trine Dalkvist, Volker Grimm
10.1371/journal.pone.0045872
 25-09-2012
LINK
Research Article
Published in: Ecological Indicators
Interpreting outputs of agent-based models using abundance–occupancy relationships
Toke Thomas Høye, Flemming Skov,     Christopher John Topping
10.1016/j.ecolind.2012.01.017
 01-09-2012
LINK
Research Article
Published in: Human and Ecological Risk Assessment: An International Journal
Spatial Dynamic Factors Affecting Population-Level Risk Assessment for a Terrestrial Arthropod: An Agent-Based Modeling Approach
    Christopher John Topping, Malgorzata Lagisz
10.1080/10807039.2012.632292
 13-01-2012
LINK
Research Article
Published in: Ecological Engineering
Evaluation of wildlife management through organic farming
    Christopher John Topping
10.1016/j.ecoleng.2011.08.010
 01-12-2011
LINK
Research Article
Published in: PLoS ONE
How Predation and Landscape Fragmentation Affect Vole Population Dynamics
Trine Dalkvist, Richard m. Sibly,     Christopher John Topping
10.1371/journal.pone.0022834
 29-07-2011
LINK
Research Article
Published in: GCB Bioenergy
Biodiversity and the mitigation of climate change through bioenergy: impacts of increased maize cultivation on farmland wildlife
Jana Gevers, Toke Thomas Høye,     Christopher John Topping, Michael Glemnitz, Boris Schröder
10.1111/j.1757-1707.2011.01104.x
 17-04-2011
LINK
Research Article
Published in: Ecological Modelling
A pattern-oriented modelling approach to simulating populations of grey partridge
    Christopher John Topping, Toke thomas Høye, Peter Odderskær, Nicholas Aebischer
10.1016/j.ecolmodel.2009.11.004
 10-03-2010
LINK
Research Article
Published in: PLoS ONE
The Effects of Landscape Modifications on the Long-Term Persistence of Animal Populations
Jacob Nabe-nielsen, Richard m. Sibly, Mads c. Forchhammer, Valery e. Forbes,     Christopher John Topping
10.1371/journal.pone.0008932
 28-01-2010
LINK
Research Article
Published in: Ecological Modelling
Opening the black box—Development, testing and documentation of a mechanistically rich agent-based model
    Christopher John Topping, Toke Høye, Carsten Riis Olesen
10.1016/j.ecolmodel.2009.09.014
 24-01-2010
LINK
Research Article
Published in: Ecological Modelling
Evaluating the effect of corridors and landscape heterogeneity on dispersal probability: a comparison of three spatially explicit modelling approaches
J.u. Jepsen, J.M. Baveco,     Christopher John Topping, J. Verboom, C.C. Vos
10.1016/j.ecolmodel.2003.11.019
 19-11-2009
LINK
Research Article
Published in: Environmental Toxicology and Chemistry
MODELING THE INFLUENCE OF TEMPORAL AND SPATIAL FACTORS ON THE ASSESSMENT OF IMPACTS OF PESTICIDES ON SKYLARKS
    Christopher John Topping, Peter Odderskær
10.1897/02-524a
 05-11-2009
LINK
Research Article
Published in: Canadian Journal of Zoology
Modelling roe deer (Capreolus capreolus) in a gradient of forest fragmentation: behavioural plasticity and choice of cover
J u Jepsen,     Christopher John Topping
10.1139/z04-131
 05-11-2009
LINK
Research Article
Published in: Ecotoxicology and Environmental Safety
Population-level impacts of pesticide-induced chronic effects on individuals depend more on ecology than toxicology
T. Dalkvist,     Christopher John Topping, V.e. Forbes
10.1016/j.ecoenv.2008.10.002
 01-09-2009
LINK
Research Article
Published in: BMC Ecology
The effects of spatial and temporal heterogeneity on the population dynamics of four animal species in a Danish landscape
Richard m Sibly, J Nabe-Nielsen, M.C. Forchhammer, Valery e Forbes,     Christopher John Topping
10.1186/1472-6785-9-18
 23-06-2009
LINK
Research Article
Published in: Ecotoxicology Modeling
The Potential for the Use of Agent-Based Models in Ecotoxicology
    Christopher John Topping, Trine Dalkvist, Valery e. Forbes, Volker Grimm, Richard m. Sibly
10.1007/978-1-4419-0197-2_8
 19-06-2009
LINK
Research Article
Published in: BMC Ecology
Predation and fragmentation portrayed in the statistical structure of prey time series
Ditte K. Hendrichsen,     Christopher John Topping, Mads c Forchhammer
10.1186/1472-6785-9-10
 06-05-2009
LINK
Research Article
Published in: Critical Reviews in Toxicology
Impact Assessment Predicted by Means of Genetic Agent-Based Modeling
Cino Pertoldi,     Christopher John Topping
10.1080/10408440490519795
 19-10-2008
LINK
Research Article
Published in: Ecotoxicology
Risk Assessment of UK Skylark Populations Using Life-History and Individual-Based Landscape Models
C. j. Topping, R. m. Sibly, H. Akçakaya, G. c. Smith, D. r. Crocker
10.1007/s10646-005-0027-3
 22-11-2005
LINK
Research Article
Published in: BioControl
The influence of landscape diversity and heterogeneity on spatial dynamics of agrobiont linyphiid spiders: An individual-based model
Pernille Thorbek,     Christopher John Topping
10.1007/s10526-004-1114-8
 01-02-2005
LINK
Research Article
Published in: Journal for Nature Conservation
The use of agent-based modelling of genetics in conservation genetics studies
Cino Pertoldi,     Christopher John Topping
10.1016/j.jnc.2003.12.001
 22-10-2004
 Unique: 1 | Total: 1  | Access Period:
LINK
Research Article
Published in: Ecological Modelling
ALMaSS, an agent-based model for animals in temperate European landscapes
    Christopher John Topping, Tine S. Hansen, Thomas s. Jensen, Jane u. Jepsen, Frank Nikolajsen, Peter Odderskær
10.1016/S0304-3800(03)00173-X
 01-09-2003
LINK

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