Assessment of Mountain Floods Susceptibility and Flood Runoff Simulation in the Upper Reaches of Baishui River Basin, Wen County, China

Опубликована: Янв. 1, 2025

This paper takes the upstream of Baishuijiang River Basin in Wen County, Gansu Province, as study area. By integrating terrain, soil, land cover, and climate data, primary hazard-inducing factors are screened. The MaxEnt ombined with Particle Swarm Optimization algorithm is utilized for mountain flood susceptibility assessment runoff simulation. conclusion obtained follows: (1)From major disaster-inducing area, precipitation (bio14, bio15) temperature (bio2, bio5) greatest impact on to disasters; (2) Predictions risk areas over next four periods (2041-2060, 2061-2080, 2081-2100) show that, compared period from 2021 2030, medium high remain generally stable, mainly distributed along both banks River, a slight increasing trend; (3) basin's infiltration capacity, water storage topography, use have significant flow volume, evidenced by sensitivity volume peak SCS Curve Number (CN) Recession Constant. Flood directly proportional Ratio Peak, while inversely it. time only sensitive CN value other parameters indices close 0.

Язык: Английский

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Whole genome re-sequencing in 437 tobacco germplasms identifies plant height candidate genes

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Фев. 8, 2025

Язык: Английский

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Predicting the Potential Distribution of Lagotis Medicinal Plants on the Qinghai‐Xizang Plateau, With a Maximum Entropy Model

Ecology and Evolution, Год журнала: 2025, Номер 15(4)

Опубликована: Апрель 1, 2025

ABSTRACT Lagotis is a Tibetan medicine with high medicinal and research value in the Qinghai‐Xizang Plateau region. Predicting its potential suitable areas can provide important references for protection of . This study investigated collected 769 site data six species 28 environmental factor data, used maximum entropy model (MaxEnt) to simulate distribution under three climate scenarios (RCP2.6, RCP6.0, RCP8.5) 2050s 2070s. The results showed that: (1) AUC values training dataset were all > 0.94, indicating that predictions accurate. (2) Altitude (alt), isothermality (bio3), average annual precipitation (bio12) main factors affecting geographical (3) Under current conditions, increase greenhouse gas emission concentration, genus plants are primarily located eastern, central, southern parts Plateau. (4) Compared present period, integra , angustibracteata ramalana area will expand future. suitability macrosiphon shows an increasing trend. moderate brachystachya decreasing, while increasing. In contrast, brevituba decreased greatly. (5) found survival high‐altitude, low‐temperature areas. findings basis cultivation breeding Plateau, migration protection, construction nature reserve communities.

Язык: Английский

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Distribution Prediction and Adaptability Analysis of Section Camellia Plants (Camellia Genus) in China Based on the MaxEnt Model

Ecology and Evolution, Год журнала: 2025, Номер 15(4)

Опубликована: Апрель 1, 2025

ABSTRACT Sect. Camellia plants, widely distributed across southern China, hold significant economic value through their dual applications in landscape greening, ornamental horticulture, and oilseed production. However, with rapid changes the global climate, it is becoming increasingly important to study habitat distributions of species factors influencing adaptations. Using maximum entropy model, we predicted past, present, future distribution areas suitable habitats for sect. under different climate scenarios. The results revealed that current conditions, total area was 17.04 × 10 5 km 2 , highly 1.95 . strongly influenced by key environmental factors, such as temperature hottest month (Bio5), minimum coldest (Bio6), annual difference (Bio7), slope (Slope). In view change, center expected shift higher latitudes may undergo northward movement adapt new leading an expansion area.

Язык: Английский

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MaxEnt and Marxan modeling to predict the potential habitat and priority planting areas of Coffea arabica in Yunnan, China under climate change scenario

Frontiers in Plant Science, Год журнала: 2024, Номер 15

Опубликована: Ноя. 28, 2024

(Arabica coffee) is an important cash crop in Yunnan, China. Ongoing climate change has made coffee production more difficult to sustain, posing challenges for the region's industry. Predictions of distribution potentially suitable habitats Arabica Yunnan could provide a theoretical basis cultivation and rational management this species.

Язык: Английский

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Simulation of Pseudostellaria heterophylla distribution in China: assessing habitat suitability and bioactive component abundance under future climate change scenariosplant components

Frontiers in Plant Science, Год журнала: 2024, Номер 15

Опубликована: Дек. 4, 2024

is used in traditional Chinese medicine, so ensuring an adequate supply of plant material with high levels bioactive components important.

Язык: Английский

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