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May 4, 2026ZooKeysOpen Access

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)

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Authors

EZElżbieta ZiółkowskaBJBarbara JaśkowiecGGGeoffrey Brian Groom

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Overview

Randomized trial develops a method for simulating agricultural landscapes, suggesting improvements for animal species management.

Key Points

  • This research aims to build a modeling environment for the ALMaSS to evaluate how landscape changes impact animal species in agriculture.
  • Developed algorithms for generating land-use/land-cover raster maps.
  • Classified and defined ALMaSS farm types and crop rotations.
  • Outlined data requirements and handling procedures for model inputs.
  • Successfully generated detailed landscape representations for ALMaSS, enhancing simulation accuracy.
  • Identified challenges related to input data quality and processing that affect model outputs.

Cite This Study

Ziółkowska et al. (2026) studied this question.

synapsesocial.com/papers/69f836aa3ed186a739980d82https://doi.org/10.3897/aem.8.167439
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1ALMaSS Landscape and Farming Simulation: software classes and methods2024 · 7 citations
  2. 2Cadastral-to-Agricultural: A Study on the Feasibility of Using Cadastral Parcels for Agricultural Land Parcel Delineation2024 · 2 citations
  3. 3Coupling multi-level agent system with ant colony optimization for land use allocation in Wuhan, China2026
  4. 4Modelling Insect Dispersal in Agricultural Landscapes Using Agent-Based Models (ABM)2025 · 1 citations
  5. 5Formal model for Acyrthosiphon pisum, Aphis fabae, Myzus persicae and Sitobion avenae using the ALMaSS subpopulation approach2024 · 5 citations