Irreclimate and the ConcaveFrame

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Authors: gautier Bianchi
Cited by: 0

Abstract

Current climate and ecological crises are not primarily characterized by a lack of data, models, or scientific consensus, but by a persistent failure to act before irreversible thresholds are crossed. This paper introduces two complementary contributions: Irreclimate, a concept describing the point at which action becomes ineffective before collapse is visible, and ConcaveFrame, a human-centered internal reference frame designed to improve the early detection of functional irreversibility. The proposed framework does not alter physical laws, ecological dynamics, or empirical data. Instead, it modifies the projection, weighting, and integration of existing information by shifting from an external, convex observational perspective to an internal, concave one situated within the system. This change of reference frame affects how thresholds are detected, how temporal signals are interpreted, and how decision timing aligns with ecological reality. By distinguishing between biophysical thresholds and decision-detected thresholds, the paper demonstrates how conventional representations systematically delay intervention, leading to avoidable irreversible losses in climate, biodiversity, and land-use systems. The ConcaveFrame advances the detection of functional lock-in by emphasizing spatial continuity, dependency flows, and lived ecological constraints. This shift improves early warning capabilities without introducing new data requirements. The framework has direct implications for early warning systems, biodiversity conservation, One Health governance, and public decision-making. Rather than proposing additional indicators or stricter targets, this work argues that a change in reference frame constitutes a necessary structural correction to reduce irreversible losses caused by delayed perception and action.

Fields of Study & Subjects

Ecosystem dynamics and resilience Sustainability and Climate Change Governance Environmental Ecological and Cultural Studies

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
27 January 2026
Document type
Preprint