Cross-System Co-occurrence of Hot-Cold Direction in Medicinal Plants

Abstract Results of 81 multi-system anchors, 68 were concordant and 13 divergent, a multi-system concordance rate of 84.0% (binomial p = 3.81 × 10⁻¹⁰); excluding one species substitution (Gentiana) gives 85.0%, and excluding 19 neutral anchors gives 82.3%, so the conclusion is robust. To assess historical transmission, we recomputed by origin cluster: merging Unani with Galenic yields seven clusters, concordance 85.9% (55/64); restricting to the four relatively independent clusters (TCM, Ayurveda, African, Andean) yields 90.2% (46/51). We state plainly, however, that this conservative estimate rests mainly on TCM and Ayurveda, which did historically exchange; current data cannot exclude transmission and can only establish strong cross-system co-occurrence of direction. Same-species agreement between TCM and Ayurveda: dichotomous κ = 0.841 (n = 50), three-class κ = 0.681 (n = 56), both far above chance. Most mechanistically suggestive is that independent Mexican and Andean ethnographies also encode hot-cold through water and habitat. In the kinship-controlled analysis, all four testable genera showed the expected soil-moisture direction, but with only four independent units (genera) the genus-level sign test gives p = 0.0625, which has no power to adjudicate significance; this is exploratory directional support, not confirmation. Exceptions that a single variable cannot explain also exist, such as Panax ginseng versus P. quinquefolius. A distinction must also be drawn between a plant's water demand and the wetness of its habitat: for cultivated crops the two are not equivalent. Our conclusion is cross-system co-occurrence and external corroboration of direction, not causal proof; disagreements and limitations are reported as they stand.

Authors

Publication Details

Journal
Research Square
Published
2026-11-12
DOI
https://doi.org/10.21203/rs.3.rs-11696325/v1
Primary Topic
Ethnobotanical and Medicinal Plants Studies
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
preprint

Cross-System Co-occurrence of Hot-Cold Direction in Medicinal Plants

Guohua Yang
Research Square
Ethnobotanical and Medicinal Plants Studies
preprint

Cross-System Co-occurrence of Hot-Cold Direction in Medicinal Plants

Guohua Yang
preprint en

Abstract

Abstract Results of 81 multi-system anchors, 68 were concordant and 13 divergent, a multi-system concordance rate of 84.0% (binomial p = 3.81 × 10⁻¹⁰); excluding one species substitution (Gentiana) gives 85.0%, and excluding 19 neutral anchors gives 82.3%, so the conclusion is robust. To assess historical transmission, we recomputed by origin cluster: merging Unani with Galenic yields seven clusters, concordance 85.9% (55/64); restricting to the four relatively independent clusters (TCM, Ayurveda, African, Andean) yields 90.2% (46/51). We state plainly, however, that this conservative estimate rests mainly on TCM and Ayurveda, which did historically exchange; current data cannot exclude transmission and can only establish strong cross-system co-occurrence of direction. Same-species agreement between TCM and Ayurveda: dichotomous κ = 0.841 (n = 50), three-class κ = 0.681 (n = 56), both far above chance. Most mechanistically suggestive is that independent Mexican and Andean ethnographies also encode hot-cold through water and habitat. In the kinship-controlled analysis, all four testable genera showed the expected soil-moisture direction, but with only four independent units (genera) the genus-level sign test gives p = 0.0625, which has no power to adjudicate significance; this is exploratory directional support, not confirmation. Exceptions that a single variable cannot explain also exist, such as Panax ginseng versus P. quinquefolius. A distinction must also be drawn between a plant's water demand and the wetness of its habitat: for cultivated crops the two are not equivalent. Our conclusion is cross-system co-occurrence and external corroboration of direction, not causal proof; disagreements and limitations are reported as they stand.

Research Square
Ethnobotanical and Medicinal Plants Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon
Cross-System Co-occurrence of Hot-Cold Direction in Medicinal Plants — Guohua Yang · Research Square (2026) | TGRS Research Map | TGRS