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| フォーマット: | Recurso digital |
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Zenodo
2026
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| オンライン･アクセス: | https://doi.org/10.5281/zenodo.18792995 |
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| _version_ | 1866901555136954368 |
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| author | Tuckwell, Neil Clive |
| author_facet | Tuckwell, Neil Clive |
| contents | <p>This preprint introduces an instrument-grade governance framework for detecting, classifying, and stress-testing regime shifts in land–water systems across dryland and rainforest environments.</p> <p>The framework unifies desertification and deforestation dynamics under a single structural definition of impedance collapse:</p> <p>A system undergoes impedance collapse when biological structures mediating the dominant moisture-retention mechanism at the active coupling layer are degraded beyond biological substitution capacity, resulting in a persistent shift to a lower-retention regime maintained by positive feedback at the system’s characteristic feedback reach.</p> <p>The architecture includes:</p> <p>• Regime classification using aridity index as a gradient indicator of coupling-layer dominance (pedological vs atmospheric)</p> <p>• A dryland instrument loop using runoff coefficient (RC) and sediment transport continuity to detect partitioning and connectivity shifts</p> <p>• A rainforest instrument loop using runoff ratio (RR) as the primary metric with canopy throughfall deficit (CTD) as corroborator and a BACI load test</p> <p>• Explicit scaling logic from plot partitioning to landscape connectivity</p> <p>• Functional retirement criteria verified by load testing</p> <p>• Envelope limits distinguishing hard constraints (under the current intervention class) from soft, recoverable constraints</p> <p>• A dimensionless resilience depth metric (RD = 1 / (Δ_norm · T_norm)) based on normalized perturbation response and recovery time</p> <p>All thresholds are treated as gradient indicators rather than fixed physical constants. The framework is fully falsifiable, baseline-disciplined, and portable across systems without asserting biome symmetry or universal parameter equivalence.</p> <p>This paper is methodological. It does not make climate attribution claims, restoration guarantees, or biome equivalence assertions. Its contribution is a structured measurement architecture for governance, field diagnostics, and comparative resilience analysis.</p> <p>KEYWORDS</p> <p>Impedance collapse</p> <p>Regime shift</p> <p>Desertification</p> <p>Deforestation</p> <p>Hydrological connectivity</p> <p>Evapotranspiration recycling</p> <p>Runoff coefficient</p> <p>Runoff ratio</p> <p>BACI design</p> <p>Resilience depth</p> <p>Hysteresis</p> <p>Land system governance</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18792995 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | A Unified Instrument Framework for Detecting, Scaling, and Stress-Testing Hydrological–Biological Impedance Collapse Across Dryland and Rainforest Systems Tuckwell, Neil Clive <p>This preprint introduces an instrument-grade governance framework for detecting, classifying, and stress-testing regime shifts in land–water systems across dryland and rainforest environments.</p> <p>The framework unifies desertification and deforestation dynamics under a single structural definition of impedance collapse:</p> <p>A system undergoes impedance collapse when biological structures mediating the dominant moisture-retention mechanism at the active coupling layer are degraded beyond biological substitution capacity, resulting in a persistent shift to a lower-retention regime maintained by positive feedback at the system’s characteristic feedback reach.</p> <p>The architecture includes:</p> <p>• Regime classification using aridity index as a gradient indicator of coupling-layer dominance (pedological vs atmospheric)</p> <p>• A dryland instrument loop using runoff coefficient (RC) and sediment transport continuity to detect partitioning and connectivity shifts</p> <p>• A rainforest instrument loop using runoff ratio (RR) as the primary metric with canopy throughfall deficit (CTD) as corroborator and a BACI load test</p> <p>• Explicit scaling logic from plot partitioning to landscape connectivity</p> <p>• Functional retirement criteria verified by load testing</p> <p>• Envelope limits distinguishing hard constraints (under the current intervention class) from soft, recoverable constraints</p> <p>• A dimensionless resilience depth metric (RD = 1 / (Δ_norm · T_norm)) based on normalized perturbation response and recovery time</p> <p>All thresholds are treated as gradient indicators rather than fixed physical constants. The framework is fully falsifiable, baseline-disciplined, and portable across systems without asserting biome symmetry or universal parameter equivalence.</p> <p>This paper is methodological. It does not make climate attribution claims, restoration guarantees, or biome equivalence assertions. Its contribution is a structured measurement architecture for governance, field diagnostics, and comparative resilience analysis.</p> <p>KEYWORDS</p> <p>Impedance collapse</p> <p>Regime shift</p> <p>Desertification</p> <p>Deforestation</p> <p>Hydrological connectivity</p> <p>Evapotranspiration recycling</p> <p>Runoff coefficient</p> <p>Runoff ratio</p> <p>BACI design</p> <p>Resilience depth</p> <p>Hysteresis</p> <p>Land system governance</p> |
| title | A Unified Instrument Framework for Detecting, Scaling, and Stress-Testing Hydrological–Biological Impedance Collapse Across Dryland and Rainforest Systems |
| url | https://doi.org/10.5281/zenodo.18792995 |