Predicting Quercus gilva distribution dynamics and its response to climate change induced by GHGs emission through MaxEnt modeling

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 357, P. 120841 - 120841

Published: April 1, 2024

Language: Английский

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MaxEnt Modeling for Predicting Suitable Habitat for Endangered Tree Keteleeria davidiana (Pinaceae) in China

Forests, Journal Year: 2023, Volume and Issue: 14(2), P. 394 - 394

Published: Feb. 15, 2023

Understanding species response to climate change is essential for the conservation and utilization of resources under rapid in future. In this study, present future suitable distribution range Keteleeria davidiana, a tertiary relict gymnosperm, was predicted based on maximum entropy model (MaxEnt). A total 158 occurrence records were collected after removing duplicated records. Six low-correlation variables used predict distributions. The three key factors that affect K. davidiana temperature seasonality (34.96%), mean coldest quarter (28.30%) precipitation (13.58%). most zone between 377.4 843.4. highly area located mountainous regions central southeast China, which accounted 13.39% whole study area. With warming future, estimated decrease by 35% (SSP1-2.6 scenario) or 85% (SSP5-8.5 scenario). This has provided sufficient scientific basis situ ex davidiana.

Language: Английский

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Effects of environmental factors and genotype on performance, soil physicochemical properties, and root endophytic fungi of Salvia miltiorrhiza

Rhizosphere, Journal Year: 2025, Volume and Issue: unknown, P. 101031 - 101031

Published: Feb. 1, 2025

Language: Английский

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Where Will Threatened Aegle marmelos L., a Tree of the Semi-Arid Region, Go under Climate Change? Implications for the Reintroduction of the Species

Land, Journal Year: 2023, Volume and Issue: 12(7), P. 1433 - 1433

Published: July 18, 2023

The conservation of threatened species and the restoration ecosystems have emerged as crucial ecological prerequisites in context a changing global environment. One such significant commercial value is Bael tree, scientifically known Aegle marmelos, which native to semi-arid regions Pakistan. However, faces threats Pakistan due overexploitation land use. To support sustainable production practices agricultural planning, it important investigate how climate change has affected geographic distribution marmelos. Additionally, impact on its frequency remains uncertain. address these concerns, we employed modeling techniques using MaxEnt GIS predict present future favorable habitats for Based our findings, several key bioclimatic variables were identified influencers marmelos distribution. These include soil bulk density (bdod), isothermality (bio03), precipitation during warmest quarter (bio18), mean temperature wettest (bio08). Currently, potential suitable habitat spans an area approximately 396,869 square kilometers, primarily concentrated Punjab, Khyber Pakhtunkhwa, Balochistan deemed highly are predominantly found upper central Punjab. if persists, likely become more fragmented, resulting shift overall area. Moreover, center expected relocate towards southeast, leading increased spatial separation over time. results this research significantly contribute understanding geo-ecological aspects related Furthermore, they provide valuable recommendations protection, management, monitoring, species.

Language: Английский

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Prediction of the potential distribution of Chimonobambusa utilis (Poaceae, Bambusoideae) in China, based on the MaxEnt model

Biodiversity Data Journal, Journal Year: 2024, Volume and Issue: 12

Published: June 24, 2024

Chimonobambusa utilis is a unique edible bamboo species valued for its economic and nutritional benefits. However, existence in natural habitats at risk due to environmental shifts human interventions. This research utilised the maximum entropy model (MaxEnt) predict potential Ch. China, identifying key factors influencing distribution analysing changes suitable under future climate conditions. The results show that of MaxEnt have high prediction accuracy, with an AUC (Area Under receiver operating characteristic Curve) value 0.997. Precipitation driest month (Bio14), altitude (Alt) isothermality (Bio03) emerged as primary distribution. Currently, area 10.55 × 10 4 km 2 . Projections 2050s 2090s indicate ranging from -3.79% 10.52%. In general, most habitat will decrease shrink towards higher latitude areas future. study provides scientific basis introduction, cultivation conservation

Language: Английский

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Distribution Pattern of Suitable Areas and Corridor Identification of Endangered Ephedra Species in China

Plants, Journal Year: 2024, Volume and Issue: 13(6), P. 890 - 890

Published: March 20, 2024

The suitable habitat of endangered Ephedra species has been severely threatened and affected by climate change anthropogenic activities; however, their migration trends restoration strategies are still relatively understudied. In this study, we utilized the MaxEnt model to simulate habitats five in China under current future scenarios. Additionally, identified significant ecological corridors incorporating minimum cumulative resistance (MCR) model. Under scenario, area equisetina Bunge, intermedia Schrenk ex Mey, sinica Stapf, monosperma Gmel Mey comprised 16% China, while rhytidosperma Pachom only 0.05%. distribution patterns these were primarily influenced altitude, salinity, temperature, precipitation. scenarios, areas E. equisetina, intermedia, projected expand, that is expected contract. Notably, will lose its future. Our showed first-level encompassed a wider geographical expanse, sinica, monosperma, exhibited shorter length covered fewer areas. Overall, our study provides novel insights into identifying priority protected protection targeting species.

Language: Английский

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Predicting the spatial distribution of three Ephedra species under climate change using the MaxEnt model

Heliyon, Journal Year: 2024, Volume and Issue: 10(12), P. e32696 - e32696

Published: June 1, 2024

In the context of global warming, habitats

Language: Английский

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Forecasting the future suitable growth areas and constructing ecological corridors for the vulnerable species Ephedra sinica in China

Journal for Nature Conservation, Journal Year: 2023, Volume and Issue: 73, P. 126401 - 126401

Published: April 14, 2023

Language: Английский

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Predicting current and future distributions of wild medicinal shrubs Ephedra alata Decne (Ephedraceae) under climate change in Tunisia

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 12, 2025

Ephedra alata is a common wild medicinal plant species in Tunisia. The ongoing utilization of E. for applications and uses threatened by the changing climate, this can lead to potential decline alata's geographic distribution range In study, we use modeling estimate both current future alata, providing basis suitable habitats across Herein, climate model was based on two representative concentration pathways representing optimistic scenarios (RCP 2.6) pessimistic 8.5) years 2070. mean temperature coldest quarter, seasonality, precipitation driest known as bioclimatic variables, contribute significantly distributions. Under an scenario, ranges remained stable. On contrary, under scenario 2070, governorates Tunisia will decline, with 44.17–95.35%, or change cause disapearance alata. future, only be available western region, where it previously central eastern regions.

Language: Английский

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From Ecological Niche to Conservation Planning; Climate‐Driven Range Dynamics of Ephedra intermedia in Central Asia

Ecology and Evolution, Journal Year: 2025, Volume and Issue: 15(3)

Published: March 1, 2025

ABSTRACT Ephedra intermedia , a medicinally significant plant, is an important component of arid and semi‐arid ecosystems across Central South Asia. This research sought to predict the present future distribution E. by applying ecological niche modeling (ENM) methods. The model incorporated comprehensive bioclimatic edaphic variables species' habitat suitability. results demonstrated high predictive accuracy, highlighting importance temperature seasonality, annual range, soil pH, nitrogen content as key species determinants. current suitability map revealed core areas in Afghanistan, Pakistan, Tajikistan mountain regions. Under climate change scenarios (SSP2‐4.5 SSP5‐8.5) for 2050s 2070s, projected upward northward shift suitable habitats, coupled with notable contraction extent highly areas, particularly under high‐emission SSP5‐8.5 scenario. predicted range shifts reflect sensitivity increasing temperatures changing precipitation patterns. suggests potential loss habitats low‐elevation southern parts its range. Including factors provided novel insights, specifically critical role properties, such pH content, shaping . These findings complement observed scenarios, emphasizing reliance on high‐altitude refugia conditions change. underscore implications conservation planning, suggesting that strategies should prioritize protection these refugial while also considering measures connectivity assisted migration support adaptation shifting environmental conditions.

Language: Английский

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