Staphyleaceae 373 claims

family · order Crossosomatales · 13 taxa · NCBI Taxonomy ↗

13 entries

Staphylea bumaldaalso S.bumalda · also S.bumalda DC89 claims · 23 papers Euscaphis konishiialso E.konishii Hayata85 claims · 15 papers Staphylea japonicaalso Euscaphis japonica · also E. japonica62 claims · 15 papers Staphyleaceae30 claims · 6 papers Staphylea pinnata29 claims · 9 papers Staphylea trifoliaAmerican bladdernut23 claims · 3 papers Turpinia arguta20 claims · 3 papers Staphylea17 claims · 6 papers Staphylea holocarpaalso S.holocarpa7 claims · 2 papers Turpinia ternata7 claims · 2 papers Turpinia montana2 claims · 2 papers Staphylea colchicaalso S. colchica Stev1 claim · 1 paper Staphylea emodi1 claim · 1 paper

373 claims

Open in search (filters, sorting) →

Observationobservedoriginal resultsimulated

Claim · model-written summary

Current high suitability is concentrated in Jiangxi, Guangdong, Guangxi, Fujian and Hunan.

Taxon: T. argutaTurpinia argutae0
Outcome: highly suitable arease0
Setting: Jiangxi, Guangdong, Guangxi, Fujian, and Hunane0

Verbatim

e0
“the highly suitable areas for T. arguta are mainly distributed across five provinces: Jiangxi, Guangdong, Guangxi, Fujian, and Hunan.”
✓ located verbatim in the source · abstract, characters 1177–1310

Title

Potential Distribution of Turpinia arguta (Lindl.) Seem. in China Under Climate Change Based on an Optimized MaxEnt Model and Quality Suitability Regionalization Analysis

Huixin Hu; Qi Xu; Yuanping Xia; et al. Forests 2026. doi:10.3390/f17020229

Other claims from this paper (10)

Association Precipitation primarily influences T. arguta distribution.
Association Temperature primarily influences T. arguta distribution.
Observation Suitable September average temperature exceeds 26°C, optimally 28–32°C.
Observation Suitable April precipitation is 175–250 mm.
Observation Suitable September precipitation is 100–160 mm.
Observation Suitable annual mean temperature is 20–30°C, optimally above 22.5°C.
Observation Suitable annual precipitation is 1500–2000 mm, peaking at 1750 mm.
Association Ligustroflavone content is positively correlated with mean diurnal temperature range.
Association Rhoifolin content is positively correlated with soil sand content.
Observation Total suitable area is projected to contract under every future scenario.

Associationobservedoriginal resultsimulated

Claim · model-written summary

Precipitation primarily influences T. arguta distribution.

Taxon: T. argutaTurpinia argutae0
Treatment: precipitatione0
Outcome: distributione0

Not reportedDirection

Verbatim

e0
“The distribution of T. arguta is primarily influenced by precipitation and temperature.”
✓ located verbatim in the source · abstract, characters 1311–1398

Title

Potential Distribution of Turpinia arguta (Lindl.) Seem. in China Under Climate Change Based on an Optimized MaxEnt Model and Quality Suitability Regionalization Analysis

Huixin Hu; Qi Xu; Yuanping Xia; et al. Forests 2026. doi:10.3390/f17020229

Other claims from this paper (10)

Observation Current high suitability is concentrated in Jiangxi, Guangdong, Guangxi, Fujian and Hunan.
Association Temperature primarily influences T. arguta distribution.
Observation Suitable September average temperature exceeds 26°C, optimally 28–32°C.
Observation Suitable April precipitation is 175–250 mm.
Observation Suitable September precipitation is 100–160 mm.
Observation Suitable annual mean temperature is 20–30°C, optimally above 22.5°C.
Observation Suitable annual precipitation is 1500–2000 mm, peaking at 1750 mm.
Association Ligustroflavone content is positively correlated with mean diurnal temperature range.
Association Rhoifolin content is positively correlated with soil sand content.
Observation Total suitable area is projected to contract under every future scenario.

Associationobservedoriginal resultsimulated

Claim · model-written summary

Temperature primarily influences T. arguta distribution.

Taxon: T. argutaTurpinia argutae0
Treatment: temperaturee0
Outcome: distributione0

Not reportedDirection

Verbatim

e0
“The distribution of T. arguta is primarily influenced by precipitation and temperature.”
✓ located verbatim in the source · abstract, characters 1311–1398

Title

Potential Distribution of Turpinia arguta (Lindl.) Seem. in China Under Climate Change Based on an Optimized MaxEnt Model and Quality Suitability Regionalization Analysis

Huixin Hu; Qi Xu; Yuanping Xia; et al. Forests 2026. doi:10.3390/f17020229

Other claims from this paper (10)

Observation Current high suitability is concentrated in Jiangxi, Guangdong, Guangxi, Fujian and Hunan.
Association Precipitation primarily influences T. arguta distribution.
Observation Suitable September average temperature exceeds 26°C, optimally 28–32°C.
Observation Suitable April precipitation is 175–250 mm.
Observation Suitable September precipitation is 100–160 mm.
Observation Suitable annual mean temperature is 20–30°C, optimally above 22.5°C.
Observation Suitable annual precipitation is 1500–2000 mm, peaking at 1750 mm.
Association Ligustroflavone content is positively correlated with mean diurnal temperature range.
Association Rhoifolin content is positively correlated with soil sand content.
Observation Total suitable area is projected to contract under every future scenario.

Observationobservedoriginal resultsimulated

Claim · model-written summary

Suitable September average temperature exceeds 26°C, optimally 28–32°C.

Taxon: Turpinia argutaTurpinia argutat0
Outcome: average temperature in Septembere0
Value: > 26 °Ce0
Qualifier: optimal range: 28–32 °Ce0

Verbatim

e0
“average temperature in September > 26 °C (optimal range: 28–32 °C)”
✓ located verbatim in the source · abstract, characters 1466–1532

t0
“Turpinia arguta (Lindl.) Seem.”
✓ located verbatim in the source · title, characters 26–56

Title

Potential Distribution of Turpinia arguta (Lindl.) Seem. in China Under Climate Change Based on an Optimized MaxEnt Model and Quality Suitability Regionalization Analysis

Huixin Hu; Qi Xu; Yuanping Xia; et al. Forests 2026. doi:10.3390/f17020229

Other claims from this paper (10)

Observation Current high suitability is concentrated in Jiangxi, Guangdong, Guangxi, Fujian and Hunan.
Association Precipitation primarily influences T. arguta distribution.
Association Temperature primarily influences T. arguta distribution.
Observation Suitable April precipitation is 175–250 mm.
Observation Suitable September precipitation is 100–160 mm.
Observation Suitable annual mean temperature is 20–30°C, optimally above 22.5°C.
Observation Suitable annual precipitation is 1500–2000 mm, peaking at 1750 mm.
Association Ligustroflavone content is positively correlated with mean diurnal temperature range.
Association Rhoifolin content is positively correlated with soil sand content.
Observation Total suitable area is projected to contract under every future scenario.

Observationobservedoriginal resultsimulated

Claim · model-written summary

Suitable April precipitation is 175–250 mm.

Taxon: Turpinia argutaTurpinia argutat0
Outcome: precipitation in Aprile0
Value: 175–250 mme0

Verbatim

e0
“precipitation in April 175–250 mm”
✓ located verbatim in the source · abstract, characters 1534–1567

t0
“Turpinia arguta (Lindl.) Seem.”
✓ located verbatim in the source · title, characters 26–56

Title

Potential Distribution of Turpinia arguta (Lindl.) Seem. in China Under Climate Change Based on an Optimized MaxEnt Model and Quality Suitability Regionalization Analysis

Huixin Hu; Qi Xu; Yuanping Xia; et al. Forests 2026. doi:10.3390/f17020229

Other claims from this paper (10)

Observation Current high suitability is concentrated in Jiangxi, Guangdong, Guangxi, Fujian and Hunan.
Association Precipitation primarily influences T. arguta distribution.
Association Temperature primarily influences T. arguta distribution.
Observation Suitable September average temperature exceeds 26°C, optimally 28–32°C.
Observation Suitable September precipitation is 100–160 mm.
Observation Suitable annual mean temperature is 20–30°C, optimally above 22.5°C.
Observation Suitable annual precipitation is 1500–2000 mm, peaking at 1750 mm.
Association Ligustroflavone content is positively correlated with mean diurnal temperature range.
Association Rhoifolin content is positively correlated with soil sand content.
Observation Total suitable area is projected to contract under every future scenario.

Observationobservedoriginal resultsimulated

Claim · model-written summary

Suitable September precipitation is 100–160 mm.

Taxon: Turpinia argutaTurpinia argutat0
Outcome: precipitation in Septembere0
Value: 100–160 mme0

Verbatim

e0
“precipitation in September 100–160 mm”
✓ located verbatim in the source · abstract, characters 1569–1606

t0
“Turpinia arguta (Lindl.) Seem.”
✓ located verbatim in the source · title, characters 26–56

Title

Potential Distribution of Turpinia arguta (Lindl.) Seem. in China Under Climate Change Based on an Optimized MaxEnt Model and Quality Suitability Regionalization Analysis

Huixin Hu; Qi Xu; Yuanping Xia; et al. Forests 2026. doi:10.3390/f17020229

Other claims from this paper (10)

Observation Current high suitability is concentrated in Jiangxi, Guangdong, Guangxi, Fujian and Hunan.
Association Precipitation primarily influences T. arguta distribution.
Association Temperature primarily influences T. arguta distribution.
Observation Suitable September average temperature exceeds 26°C, optimally 28–32°C.
Observation Suitable April precipitation is 175–250 mm.
Observation Suitable annual mean temperature is 20–30°C, optimally above 22.5°C.
Observation Suitable annual precipitation is 1500–2000 mm, peaking at 1750 mm.
Association Ligustroflavone content is positively correlated with mean diurnal temperature range.
Association Rhoifolin content is positively correlated with soil sand content.
Observation Total suitable area is projected to contract under every future scenario.

Observationobservedoriginal resultsimulated

Claim · model-written summary

Suitable annual mean temperature is 20–30°C, optimally above 22.5°C.

Taxon: Turpinia argutaTurpinia argutat0
Outcome: annual mean temperaturee0
Value: 20–30 °Ce0
Qualifier: optimal range > 22.5 °Ce0

Verbatim

e0
“annual mean temperature 20–30 °C (optimal range > 22.5 °C)”
✓ located verbatim in the source · abstract, characters 1608–1666

t0
“Turpinia arguta (Lindl.) Seem.”
✓ located verbatim in the source · title, characters 26–56

Title

Potential Distribution of Turpinia arguta (Lindl.) Seem. in China Under Climate Change Based on an Optimized MaxEnt Model and Quality Suitability Regionalization Analysis

Huixin Hu; Qi Xu; Yuanping Xia; et al. Forests 2026. doi:10.3390/f17020229

Other claims from this paper (10)

Observation Current high suitability is concentrated in Jiangxi, Guangdong, Guangxi, Fujian and Hunan.
Association Precipitation primarily influences T. arguta distribution.
Association Temperature primarily influences T. arguta distribution.
Observation Suitable September average temperature exceeds 26°C, optimally 28–32°C.
Observation Suitable April precipitation is 175–250 mm.
Observation Suitable September precipitation is 100–160 mm.
Observation Suitable annual precipitation is 1500–2000 mm, peaking at 1750 mm.
Association Ligustroflavone content is positively correlated with mean diurnal temperature range.
Association Rhoifolin content is positively correlated with soil sand content.
Observation Total suitable area is projected to contract under every future scenario.

Observationobservedoriginal resultsimulated

Claim · model-written summary

Suitable annual precipitation is 1500–2000 mm, peaking at 1750 mm.

Taxon: Turpinia argutaTurpinia argutat0
Outcome: annual precipitatione0
Value: 1500–2000 mme0
Qualifier: peak value: 1750 mme0

Verbatim

e0
“annual precipitation 1500–2000 mm (peak value: 1750 mm)”
✓ located verbatim in the source · abstract, characters 1672–1727

t0
“Turpinia arguta (Lindl.) Seem.”
✓ located verbatim in the source · title, characters 26–56

Title

Potential Distribution of Turpinia arguta (Lindl.) Seem. in China Under Climate Change Based on an Optimized MaxEnt Model and Quality Suitability Regionalization Analysis

Huixin Hu; Qi Xu; Yuanping Xia; et al. Forests 2026. doi:10.3390/f17020229

Other claims from this paper (10)

Observation Current high suitability is concentrated in Jiangxi, Guangdong, Guangxi, Fujian and Hunan.
Association Precipitation primarily influences T. arguta distribution.
Association Temperature primarily influences T. arguta distribution.
Observation Suitable September average temperature exceeds 26°C, optimally 28–32°C.
Observation Suitable April precipitation is 175–250 mm.
Observation Suitable September precipitation is 100–160 mm.
Observation Suitable annual mean temperature is 20–30°C, optimally above 22.5°C.
Association Ligustroflavone content is positively correlated with mean diurnal temperature range.
Association Rhoifolin content is positively correlated with soil sand content.
Observation Total suitable area is projected to contract under every future scenario.

Associationobservedoriginal resultmeasured

Claim · model-written summary

Ligustroflavone content is positively correlated with mean diurnal temperature range.

Taxon: Turpinia argutaTurpinia argutat0
Treatment: mean diurnal temperature rangee0
Outcome: ligustroflavone contente0
Direction: positive correlatione0

Verbatim

e0
“a positive correlation between ligustroflavone content and the mean diurnal temperature range”
✓ located verbatim in the source · abstract, characters 1754–1847

t0
“Turpinia arguta (Lindl.) Seem.”
✓ located verbatim in the source · title, characters 26–56

Title

Potential Distribution of Turpinia arguta (Lindl.) Seem. in China Under Climate Change Based on an Optimized MaxEnt Model and Quality Suitability Regionalization Analysis

Huixin Hu; Qi Xu; Yuanping Xia; et al. Forests 2026. doi:10.3390/f17020229

Other claims from this paper (10)

Observation Current high suitability is concentrated in Jiangxi, Guangdong, Guangxi, Fujian and Hunan.
Association Precipitation primarily influences T. arguta distribution.
Association Temperature primarily influences T. arguta distribution.
Observation Suitable September average temperature exceeds 26°C, optimally 28–32°C.
Observation Suitable April precipitation is 175–250 mm.
Observation Suitable September precipitation is 100–160 mm.
Observation Suitable annual mean temperature is 20–30°C, optimally above 22.5°C.
Observation Suitable annual precipitation is 1500–2000 mm, peaking at 1750 mm.
Association Rhoifolin content is positively correlated with soil sand content.
Observation Total suitable area is projected to contract under every future scenario.

Associationobservedoriginal resultmeasured

Claim · model-written summary

Rhoifolin content is positively correlated with soil sand content.

Taxon: Turpinia argutaTurpinia argutat0
Treatment: soil sand contente0
Outcome: rhoifolin contente0

Not reportedDirection

Verbatim

e0
“between rhoifolin content and soil sand content.”
✓ located verbatim in the source · abstract, characters 1860–1908

t0
“Turpinia arguta (Lindl.) Seem.”
✓ located verbatim in the source · title, characters 26–56

Title

Potential Distribution of Turpinia arguta (Lindl.) Seem. in China Under Climate Change Based on an Optimized MaxEnt Model and Quality Suitability Regionalization Analysis

Huixin Hu; Qi Xu; Yuanping Xia; et al. Forests 2026. doi:10.3390/f17020229

Other claims from this paper (10)

Observation Current high suitability is concentrated in Jiangxi, Guangdong, Guangxi, Fujian and Hunan.
Association Precipitation primarily influences T. arguta distribution.
Association Temperature primarily influences T. arguta distribution.
Observation Suitable September average temperature exceeds 26°C, optimally 28–32°C.
Observation Suitable April precipitation is 175–250 mm.
Observation Suitable September precipitation is 100–160 mm.
Observation Suitable annual mean temperature is 20–30°C, optimally above 22.5°C.
Observation Suitable annual precipitation is 1500–2000 mm, peaking at 1750 mm.
Association Ligustroflavone content is positively correlated with mean diurnal temperature range.
Observation Total suitable area is projected to contract under every future scenario.