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Research of options for coexistence of wild animals with humans within anthropocene landscapes. Grasshopper, QGIS, Circuitscape

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Internet of Boars

Research of options for coexistence of wild animals with humans within anthropocene landscapes.

team: Reda Petravičiūtė, Christos Grapas, Roman Pomazan
Research is aimed at identifying lines of conflict between humans and wild boars, diagnosing its preconditions and development, and proposing ways for reconciliation.
tools: Grasshopper (Rhinoceros 3d 7), Hops, EarthEngine, Geojson, Circuitscape, QGIS, illustrator, Photoshop, Urbano.

Questions

  • to what extent are humans ready to convert entire planet to a hinterland for extracting fossils to sustain urbanization?
  • how the hinterland is performing a fragmentation of natural habitats and forcibly changes wild animals lifecycles?
  • what is a conflict between humans and animals and where it starts?
  • how big cities change lifecycle of animals and alter their instincts?
  • is there a room for reconciliation of the conflict and how to achieve that? what are options for that, and how they differ from existing practice of conflict-resolution?

What I learned:

  • Data mining with Earth Engine and Hops plugin for Grasshopper.
  • Data vizualisation of predicted tracing of migration of wild animals.
  • Methods of bibliographic analysis.
  • Map vizualisation with Grasshopper using Hops plugin, CORINE Land Cover CLC 2018 from the Earth Engine Data Catalog.
  • Methods of overlappind map data with Grasshopper and QGIS.
  • Methodology-development of scientific research project.
  • Transfer of unrelated datasets into complex-layered maps

Key takeaways

  • We live in the Anthropocene, when humans have colonized all landscapes and deprived animals of their natural habitats, forcing them to move into "special" natural reserve zones.
  • Natural reserve zones are often disconnected, obstructing animals from migrating.
  • Very often natural landscapes are segmentated by linear infrastructure, industrial and agricultural patches.
  • In contrast, animals are attracted to rich-for-food urbanized areas, and the more they find urban food, the more they are transforming into urban animals, especially this rule applies to the boar.
  • Wild animals invide urban landscapes for food search from segmentated natural habitats, that is perceived by humans as agression and often causes an [urgent negative reaction] (https://www.theanimalreader.com/2022/08/17/news-barcelona-kills-wild-boars-to-protect-humans/)
  • the most invaded-by-animals areas correlate with the most prosperous neighborhoods
  • several options to resolve the conflict: connection of natural landscapes by wildcrossings, seasonal animal rights for the city, collaboration of permaculture farms and animals

methodology

  1. overlapping data and merging maps with Grasshoper. [source>>](221104_AXO_CONNECTIVITY_LANDUSES_Roman ed02.gh)
  2. generating animal migration.source>>
  3. parametric scheme [source>>](stakeholder scheme connection.gh)

data visualization

Factsheet of wildboar behaviour in the metropolitan Barcelona.

Processed histogram map depicting the conflict zones.

Land Cover Map of natural habitats of wild boar in the Metropolitan Barcelona.

Generated map of animals' migrations according the resistance codes of land covers.

Generated axonometric map of potential conflict points between humans and animals.

Generated axonometric map of categorized potential conflict points.

Map of potential connections between wild habitats. Approaching resolution.

Processed maps of connectivity corridors

Map of rewildering connectivity. Wildlife Crossing Tools

Stakeholders' scheme

Sketch masterplan of the pilot wildlife crossing

Application proposal for monitoring of the project

References

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