Prediction of Historical, Current, and Future Configuration of Tibetan Medicinal Herb Gymnadenia orchidis Based on the Optimized MaxEnt in the Qinghai–Tibet Plateau

Plants, Journal Year: 2024, Volume and Issue: 13(5), P. 645 - 645

Published: Feb. 26, 2024

Climate change plays a pivotal role in shaping the shifting patterns of plant distribution, and gaining insights into how medicinal plants plateau region adapt to climate will be instrumental safeguarding rich biodiversity highlands. Gymnosia orchidis Lindl. (G. orchidis) is valuable Tibetan resource with significant medicinal, ecological, economic value. However, growth G. severely constrained by stringent natural conditions, leading drastic decline its resources. Therefore, it crucial study suitable habitat areas facilitate future artificial cultivation maintain ecological balance. In this study, we investigated zones based on 79 occurrence points Qinghai–Tibet Plateau (QTP) 23 major environmental variables, including climate, topography, soil type. We employed Maximum Entropy model (MaxEnt) simulate predict spatial distribution configuration changes during different time periods, last interglacial (LIG), Last Glacial (LGM), Mid-Holocene (MH), present, scenarios (2041–2060 2061–2080) under three (SSP126, SSP370, SSP585). Our results indicated that annual precipitation (Bio12, 613–2466 mm) mean temperature coldest quarter (Bio11, −5.8–8.5 °C) were primary factors influencing orchidis, cumulative contribution 78.5%. The driest season had most overall impact. Under current covered approximately 63.72 × 104/km2, encompassing Yunnan, Gansu, Sichuan, parts Xizang provinces, highest suitability observed Hengduan, Yunlin, Himalayan mountain regions. past, area experienced Mid-Holocene, variations total centroid migration direction. scenarios, projected expand significantly SSP370 (30.33–46.19%), followed SSP585 (1.41–22.3%), while contraction expected SSP126. Moreover, centroids exhibited multidirectional movement, extensive displacement (100.38 km2). This provides theoretical foundation for conservation endangered QTP.

Language: Английский

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Adaptation of Tree Species in the Greater Khingan Range under Climate Change: Ecological Strategy Differences between Larix gmelinii and Quercus mongolica

Forests, Journal Year: 2024, Volume and Issue: 15(2), P. 283 - 283

Published: Feb. 2, 2024

Global warming significantly affects forest ecosystems in the Northern Hemisphere’s mid-to-high latitudes, altering tree growth, productivity, and spatial distribution. Additionally, temporal heterogeneity exists responses of different species to climate change. This research focuses on two key China’s Greater Khingan Range: Larix gmelinii (Rupr.) Kuzen. (Pinaceae) Quercus mongolica Fisch. ex Ledeb. (Fagaceae). We utilized a Maxent model optimized by kuenm R package predict species’ potential habitats under various future scenarios (2050s 2070s) considering three distinct Shared Socioeconomic Pathways: SSP1-2.6, SSP2-4.5, SSP5-8.5. analyzed 313 distribution records 15 environmental variables employed geospatial analysis assess habitat requirements migration strategies. The demonstrated high predictive accuracy, with Area Under Curve (AUC) values 0.921 for 0.985 gmelinii. accuracy was achieved adjusting regularization multipliers feature combinations. Key factors influencing included mean temperature coldest season (BIO11), warmest (BIO10), precipitation driest quarter (BIO17). Conversely, mongolica’s suitability largely affected annual (BIO1), elevation, (BIO12). These results indicate divergent adaptive habitable area generally increased all scenarios, especially SSP5-8.5, whereas experienced more complex changes. Both centroids are expected shift northwestward. Our study provides insights into coniferous broadleaf Range change, contributing scientific information vital conserving managing area’s ecosystems.

Language: Английский

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Predicting the Global Potential Suitable Areas of Sweet Osmanthus (Osmanthus fragrans) Under Current and Future Climate Scenarios

Ecology and Evolution, Journal Year: 2024, Volume and Issue: 14(11)

Published: Nov. 1, 2024

ABSTRACT Osmanthus fragrans is a valuable landscaping tree that appreciated worldwide. However, the optimal environmental conditions for O . cultivation have yet to be studied in detail, which hinders preservation of wild resources this plant and its commercial exploitation. The maximum entropy model was applied assess significance environment variables influencing distribution. Combining data from 629 global distribution points , predictions were made on potential effects climate change geographical suitable habitats species present future. results indicated preferred warm humid growing environment. Under current climatic conditions, mostly located eastern coastal areas continents at medium low latitudes. main affected precipitation during warmest quarter, temperature seasonality, mean quarter. analysis continuation trends will result further reduction growth, centroid shift southeast. These findings provided insight into impact habitats, as well provide guidance conservation breeding more change‐resistant varieties

Language: Английский

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Enhanced Adsorption of Methyl Orange from Aqueous Phase Using Chitosan–Palmer Amaranth Biochar Composite Microspheres

Molecules, Journal Year: 2024, Volume and Issue: 29(8), P. 1836 - 1836

Published: April 18, 2024

To develop valuable applications for the invasive weed Palmer amaranth, we utilized it as a novel biochar source and explored its potential methyl orange adsorption through synthesis of chitosan-encapsulated amaranth composite microspheres. Firstly, prepared microspheres were characterized by scanning electron microscopy Fourier transform infrared spectroscopy demonstrated to have surface area 19.6 m

Language: Английский

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Prediction of historical, current and future configuration of Gymnadenia orchidis 1 based on the optimized MaxEnt in the Qinghai-Tibet Plateau

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 11, 2024

Abstract Gymnosia orchidis ( G. ) is a valuable Tibetan medicinal resource with significant medicinal, ecological, and economic value. However, the growth of severely constrained by stringent natural conditions, leading to drastic decline in its resources. Therefore, it crucial study suitable habitat areas facilitate future artificial cultivation maintain ecological balance. In this study, we investigated zones based on 79 occurrence points Qinghai-Tibet Plateau (QTP) 23 major environmental variables, including climate, topography, soil type. We employed Maximum Entropy model (MaxEnt) simulate predict spatial distribution configuration changes during different time periods, last inter-glacial (LIG), glacial (LGM), Mid-Holocene (MH), present, scenarios (2041—2060 2061—2080) under three climate (SSP126, SSP370, SSP585). Our results indicated that annual precipitation (Bio12, 613—2466 mm) mean temperature coldest quarter (Bio11, -5.8—8.5 °C) were primary factors influencing , cumulative contribution 78.5%. The driest season had most overall impact. Under current covered approximately 63.72×10 4 /km², encompassing Yunnan, Gansu, Sichuan, parts Xizang provinces, highest suitability observed Hengduan, Yunlin, Himalayan mountain regions. past, area experienced Mid-Holocene, variations total centroid migration direction. scenarios, projected expand significantly SSP370 (30.33%—46.19%), followed SSP585 (1.41%—22.3%), while contraction expected SSP126. Moreover, centroids exhibited multidirectional movement, extensive displacement (100.38 km²). This research provides insights for guiding selection introduced species, cultivation, conservation future, also offering theoretical support protection endangered species.

Language: Английский

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Maximum Entropy Method for Wind Farm Site Selection: Implications for River Basin Ecosystems Under Climate Change

Water, Journal Year: 2024, Volume and Issue: 16(24), P. 3679 - 3679

Published: Dec. 20, 2024

As the global shift from fossil fuels to Paris Agreement has accelerated, wind energy become a key alternative hydroelectric power. However, existing research often needs improve in integrating diverse environmental, economic, and climate-related variables when modeling potential, particularly under future climate change scenarios. Addressing these gaps, this study employs maximum entropy (MaxEnt) method, robust innovative tool for spatial modeling, identify optimal farm sites Türkiye. This advances site selection methodologies enhances predictive accuracy by leveraging comprehensive dataset incorporating The results indicate that 89% of current licensed projects will maintain compliance future, while 8% see decrease compliance. Furthermore, potential Türkiye is expected increase because change. These confirm suitability project locations new high-potential areas sustainable development. provides policymakers, investors, developers actionable insights optimize integration into national portfolio, supporting goals accelerating adoption renewable sources.

Language: Английский

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