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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A virtual species study to establish baseline for assessing the predicted current and future distribution ranges of real species in mountainous areas

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

Published: June 3, 2024

Simulation and model prediction of virtual species aim to establish baseline for assessing the projected contemporary future distribution ranges real in mountainous areas. Fundamental niches geographic 5 were defined diagram principal components analysis based on a high-resolution climate dataset generated from meteorological data. Heterogeneity had been validated influence relationships between responses suitable environments, consequently affecting geographical distributions species. The performances 11 algorithms evaluated by extracted fraction shared presences (ESP), instead TSS AUC. ESP calculates overlap simulated predicted current potential According ESP, ensemble modeling outperformed algorithms. A small sample size has significant effects performance due extremely low value presence only points was evidently limitation predictions. Furthermore, distance among provide signals that will be identified through accurate predictions our analyses. By 2050s 2090s, change may drive range expansion currently distributed inland areas or leeward slopes, while causing restriction local extinction coastal windward slopes. Our study can inform application models scientific support conservation planning forecasts under change.

Language: Английский

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Global change drives potential niche contraction and range shift of globally threatened African vulture

Environmental Challenges, Journal Year: 2024, Volume and Issue: unknown, P. 101038 - 101038

Published: Oct. 1, 2024

Language: Английский

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A targeted study to determine the conservation status of a Data Deficient montane lizard, the Eungella shadeskink (Saproscincus eungellensis)

Pacific Conservation Biology, Journal Year: 2024, Volume and Issue: 30(6)

Published: Oct. 29, 2024

Context Combatting biodiversity loss is often hamstrung by a lack of species-specific knowledge. Species considered Data Deficient (DD) on the IUCN Red List are poorly understood and neglected in conservation investment, despite evidence they threatened. Reptiles have highest percentage DD species for any terrestrial vertebrate group. Aims We aimed to assess status Eungella shadeskink (Saproscincus eungellensis), which endemic National Park, Queensland, Australia. Methods A combination targeted field survey, ecological studies, distribution modelling were used. Key results Saproscincus eungellensis typically occurred within 25 m streams, at elevations between 700 1000 m. The thigmothermic, with low active body temperature (~23–26°C) was predominantly observed rocks fallen palm fronds. has highly restricted an estimated Area Occupancy 36 km2 Extent Occurrence 81.7 km2, comprising one location (defined threat climate change) 16,352–52,892 mature individuals. main threats fire, invasive alien change, forecast lose all suitable habitat 2080 under change scenarios. Conclusions meets listing criteria Critically Endangered Criterion B International Union Conservation Nature. Implications Our support recent studies indicating that some approach provides template conducting determine species, especially those ranges.

Language: Английский

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Habitat Suitability Assessment for Illicium verum Hook. f. (Star Anise) Under Climate Change Conditions, Using the MaxEnt Model and Comprehensive 2D Chromatography

Agronomy, Journal Year: 2024, Volume and Issue: 14(12), P. 2858 - 2858

Published: Nov. 29, 2024

Illicium verum Hook. f. (star anise) is a highly important plant in terms of both its edible and medicinal properties economic value. The suitable habitat for star anise may undergo alterations response to climate changes human activities, which turn might impact quality. To ensure the future introduction protection anise, it crucial analyze impacts change on potential distribution species. approach presented this study integrates MaxEnt model chemical composition analysis assess patterns evaluate environmental variables results revealed that soil pH, mean temperature coldest quarter, diurnal range, precipitation warmest quarter annual were main factors affecting current I. verum. area approximately 17.6 × 104 km2, accounting 74% total Guangxi Province. Under scenarios, overall pattern range shifted northwards, SSP3126 scenario showed most significant increase area. By utilizing comprehensive 2D chromatography technologies, 111 volatile compounds present 61 batches identified. Further via chemometric methods components β-bisabolene, caryophyllene, 4-methoxyphenylacetone, cis-β-farnesene, anethole linalool could serve as markers distinguishing quality from different geographical origins. Finally, stepwise regression between compositions was established, based this, zoning map subsequently plotted. This provides valuable scientific insights resource conservation, planting site selection control anise.

Language: Английский

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