Ecological Homeostasis and the Reduction of Biological Debt in Australian Pastoral Systems
Year: 2025
Type: article
Abstract: This paper proposes a fundamental reconceptualisation of arboviral diseasemanagement in the Australian cattle industry through the adaptation of theHomeostatic Architectural and Terrain Immunity (HATI) framework to pastoralcontexts. Current approaches to Bovine Ephemeral Fever (BEF) and Akabane Virusmanagement operate within what this paper terms the "Steelman Paradigm"—areactive economic threshold model that accepts chronic vector pressure andcumulative physiological stress ("Biological Debt") as baseline conditions untilintervention becomes economically justified. This paper proposes an alternative"Landscape Immunity Model" that reconceptualises the pastoral landscape itself asan immunological system capable of permanent vector suppression through BotanicalArchitecture (strategic plantings for wind channelling and olfactory masking),Biological Control (integrated predator guilds and dung beetle populations), andSovereign Technology (offline, renewable, locally-repairable systems including solaraeration and edge-computing AI monitors). The framework prioritises collaborativehomeostasis over toxic eradication, protecting soil biology, herd welfare, and long-term ecological resilience. This work extends the HATI principles originallydeveloped for human malaria vector management in Oceania to demonstrate theframework's adaptability across species boundaries and ecological contexts, offeringa proof-of-concept for what the author terms "Ideas Philanthropy"—the release ofconceptual architectures under open licensing for community-driven implementation.Keywords: ecological homeostasis; vector-borne disease; bovine ephemeral fever; Akabanevirus; biological control; landscape immunity; sovereign technology; pastoral systems; HATIframework; Biological Deb
Authors: Smith, John Richard, HATI
Language: English
Topic: Vector-Borne Animal Diseases
Domain: Life Sciences
SDG: Life on land
Open Access status: green
OpenAlex ID: W7117887033
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