Prediction of the potentially suitable areas of Leonurus japonicus in China based on future climate change using the optimized MaxEnt model

Ecology and Evolution, Journal Year: 2023, Volume and Issue: 13(10)

Published: Oct. 1, 2023

Houtt. is a traditional Chinese medicinal plant with high and edible value. Wild

Language: Английский

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Potential Suitable Habitats of Chili Pepper in China under Climate Change

Plants, Journal Year: 2024, Volume and Issue: 13(7), P. 1027 - 1027

Published: April 4, 2024

Chili pepper (Capsicum annuum L.) is extensively cultivated in China, with its production highly reliant on regional environmental conditions. Given ongoing climate change, it imperative to assess impact chili cultivation and identify suitable habitats for future cultivation. In this study, the MaxEnt model was optimized utilized predict open-field cultivation, changes these were analyzed using ArcGIS v10.8. Our results showed that parameter settings of optimal FC = LQPTH RM 2.7, critical variables influencing distribution annual mean temperature, isothermality, maximum temperature warmest month, precipitation quarter. Under current conditions, distributed across all provinces moderately- highly-suitable concentrated east Qinghai–Tibetan Plateau south Inner Mongolia Plateau. scenarios, area expected be larger than ones, except SSP126-2050s, reached under SSP126-2090s. The overlapping various scenarios. 2050s, centroids predicted shift towards southwest, SSP126, whereas trend reversed 2090s. suggest warming conductive pepper, provide scientific guidance introduction face warming.

Language: Английский

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The influence of climate change on the future distribution of two Thymus species in Iran: MaxEnt model-based prediction

BMC Plant Biology, Journal Year: 2024, Volume and Issue: 24(1)

Published: April 11, 2024

Abstract Within a few decades, the species habitat was reshaped at an alarming rate followed by climate change, leading to mass extinction, especially for sensitive species. Species distribution models (SDMs), which estimate both present and future distribution, have been extensively developed investigate impacts of change on assess suitability. In West Asia essential oils T. daenensis kotschyanus include high amounts thymol carvacrol are commonly used as herbal tea, spice, flavoring agents medicinal plants. Therefore, this study aimed model these Thymus in Iran using MaxEnt under two representative concentration pathways (RCP 4.5 RCP 8.5) years 2050 2070. The findings revealed that mean temperature warmest quarter (bio10) most significant variable affecting . case , slope percentage primary influencing factor. modeling also demonstrated excellent performance, indicated all Area Under Curve (AUC) values exceeding 0.9. Moreover, based projections, mentioned expected undergo negative area changes coming years. These results can serve valuable achievement developing adaptive management strategies enhancing protection sustainable utilization context global change.

Language: Английский

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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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Reeve’s Muntjac (Muntiacus reevesi) Habitat Suitability Under Climate Change Scenarios in Hupingshan National Nature Reserve, China

Animals, Journal Year: 2025, Volume and Issue: 15(2), P. 160 - 160

Published: Jan. 9, 2025

Climate change and human disturbance are critical factors affecting the habitat distribution of wild animals, with implications for management strategies such as protecting migration corridors, restoration, species conservation. In Hupingshan National Nature Reserve (NNR), Reeve’s muntjac (Muntiacus reevesi) is a key prey South China tiger (Panthera tigris amoyensis), which extinct in targeted reintroduction by Chinese government. Thus, understanding abundance essential to ensure survival sustainability reintroduced populations. Despite significant conservation efforts, impacts climate on NNR remain unclear, though these could necessitate adaptive due shifts abundance. this study, we employed an optimized MaxEnt model assess current identify environmental variables influencing muntjac. Assuming non-climatic will constant over next century, projected future under two shared socioeconomic pathways (SSP126 SSP585) mid-century (2050s) late-century (2090s). Comparative analyses areas revealed potential species. outputs classified suitability into high, medium, low levels. Results showed that climatic contributed 35.2% 49.4% suitability, respectively. Under SSP126 scenario, habitats decreased covered 0 km2 2050s, expanding slightly 4.2 2090s, while those increased spanned 491.1 463.2 SSP585 10.2 2050s 431.8 2090s. Habitats were comparatively smaller SSP585, covering 162.0 1.1 These findings suggest projections may support muntjac’s survival, loss 2090s (SSP126). lead fragmentation, raising extinction risks Reeves’s Mitigating effects involve establishing minimizing disturbances, potentially supplementing populations captive-bred prey. Such measures plan help availability remains sufficient sustaining

Language: Английский

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Prediction of the potentially suitable areas of Paeonia lactiflora in China based on Maxent and Marxan models

Frontiers in Plant Science, Journal Year: 2025, Volume and Issue: 15

Published: Jan. 9, 2025

Paeonia lactiflora Pall. (P. lactiflora) is an important medicinal plant in China with high ornamental value. Predicting the potential habitat of P. crucial for identifying its geographic distribution characteristics and ensuring ecological economic importance. Therefore, we aimed to predict under future climate change scenarios. To this end, used optimized Maxent model ArcGIS software analyze influence 12 environmental variables on based 291 effective records. The key factors limiting were evaluated by combining contribution rates significance their replacement. jackknife method was employed assess importance these factors. Response curves determine appropriate intervals factor changes spatial patterns. exhibited a low degree overfitting good prediction accuracy. main influencing precipitation wettest month hottest quarter, lowest temperature coldest month, highest warmest month. Under current climatic conditions, could theoretically grow across area 231.1 × 104 km2 China. six scenarios, reduced compared area, potentially suitable areas shifted southwestward. majority priority conservation sites are located northern northeastern China, which align highly favorable predicted model. findings investigation can guide selection introductions as well artificial cultivation preservation resources.

Language: Английский

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Distribution changes of Ormosia microphylla under different climatic scenarios

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 21, 2025

Ormosia microphylla is a nationally prioritized wild plant in China but effects of likely future climate change have been poorly studied. Here distribution data O. and environmental with an optimized MaxEnt maximum entropy model were used to predict potentially suitable areas under current scenarios. The results showed that warming, the total area for might gradually increase. In three periods (2030s (2021–2040), 2050s (2041–2060) 2090s (2081–2100)), medium high different scenarios generally expanding trend, while low mostly decreasing trend. At same time, potential shown certain degree migration trend towards higher latitudes north northwest, as well altitudes. research will provide support protection germplasm resources development artificial cultivation techniques microphylla, theoretical basis other rare endangered plants.

Language: Английский

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Potentially suitable habitats of Daodi goji berry in China under climate change

Frontiers in Plant Science, Journal Year: 2024, Volume and Issue: 14

Published: Jan. 9, 2024

Goji berry (

Language: Английский

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Evaluating the impact of ecological factors on the quality and habitat distribution of Lonicera japonica Flos using HPLC and the MaxEnt model

Frontiers in Plant Science, Journal Year: 2024, Volume and Issue: 15

Published: Aug. 6, 2024

The quality of traditional Chinese medicine is based on the content their secondary metabolites, which vary with habitat adaptation and ecological factors. This study focuses

Language: Английский

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Modeling the Potential Distribution Patterns of the Invasive Plant Species Phytolacca americana in China in Response to Climate Change

Plants, Journal Year: 2024, Volume and Issue: 13(8), P. 1082 - 1082

Published: April 12, 2024

Phytolacca americana, introduced to China in the 20th century for its medicinal properties, has posed a significant ecological and agricultural challenge. Its prolific fruit production, high reproductive coefficient, adaptability, toxic roots fruits have led formation of monoculture communities, reducing native species diversity posing threats agriculture, human animal health, local ecosystems. Understanding potential distribution patterns at regional scale response climate change is essential effective monitoring, management, control. In this study, we utilized Maxent model simulate habitat areas P. americana across three timeframes (current, 2050s, 2070s) under scenarios (SSP126, SSP245, SSP585). Leveraging data from 556 sites China, employed ROC curves assess prediction accuracy. Our findings highlight key environmental factors influencing americana’s geographical distribution, including driest month’s precipitation, coldest minimum temperature, wettest isothermality, temperature annual range. Under current conditions, potentially inhabits 280.26 × 104 km2 with concentration 27 provinces cities within Yangtze River basin southern regions. While future do not drastically alter total suitable area, proportions low-suitability decrease over time, shifting towards moderate suitability. Specifically, SSP126 scenario, centroid predicted area shifts northeastward then southwestward. contrast, SSP245 SSP585 scenarios, northward.

Language: Английский

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