John Kennedy audiojak

White Paper

Animal Behavior as Predictive Indicators of Natural Disasters

Introduction

Throughout history, anecdotal evidence has suggested animals exhibit unusual behaviors preceding natural disasters. Modern scientific research has begun validating these accounts using advanced technology such as GPS tracking, accelerometers, and AI-driven analytics. This white paper explores current scientific findings on how mass animal behaviors can act as reliable early-warning signals for severe weather events and geophysical disasters like earthquakes and volcanic eruptions.

Key Concepts and Terminology

Biologging/Bio-telemetry: Employing electronic sensors to monitor animal movements and physiological responses.
Collective Behavior: Animals in groups amplify stress or warning signals, creating clear behavioral indicators.
Bio-sentinels: Animals serving as living sensors to environmental changes.

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	# Python Version: 3.9+
	# Code Style: PEP 8
	# Naming Conventions:
	# - Classes: PascalCase
	# - Functions and variables: snake_case
	# - Constants: UPPER_SNAKE_CASE
	# - Private attributes/methods: _leading_underscore

	# Project Type:
	# - AWS Lambda Function

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	export async function POST(request: Request) {
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	if (!secret) {
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	status: 401,
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