Predicting current and future distributions of Mentha pulegium L. in Tunisia under climate change conditions, using the MaxEnt model

Soilhi, Zayneb; Sayari, Najla; Benalouache, Nadia; Mekki, Mounir

doi:10.1016/j.ecoinf.2021.101533

Cited by 42 publications

(34 citation statements)

References 77 publications

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“…The “random seed” option was applied to validate the models, where 20% of the occurrence points were random sampling as test data, the remaining points were used as training data, and a random test partition was used for each run. Finally, the Area Under the Curve (AUC) and True Skill Statistics (TSS) were used to evaluate each model's accuracy (Allouche et al, 2006; Ancillotto et al, 2019; Soilhi et al, 2022). We applied to the results a baseline threshold of higher or equal to 15% and 70% of habitat suitability to deliver figures and calculate distribution areas in QGIS.…”

Section: Methodsmentioning

confidence: 99%

Biodiversity protection against anthropogenic climate change: Conservation prioritization of Castanea sativa in the South Caucasus based on genetic and ecological metrics

Beridze

Sękiewicz

Walas

et al. 2023

Ecology and Evolution

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Section: Methodsmentioning

confidence: 99%

Biodiversity protection against anthropogenic climate change: Conservation prioritization of Castanea sativa in the South Caucasus based on genetic and ecological metrics

Beridze

Sękiewicz

Walas

et al. 2023

Ecology and Evolution

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“…In this study, the prediction of the potential distribution of D. angustifolia depends mainly on the data of its distribution points and of the surrounding environmental factors in the TRB. The evaluation of habitat suitability based on these data provides valuable information and theoretical reference for the determination of suitable areas for D. angustifolia in the TRB in the future (Soilhi et al, 2022). The distribution data of D. angustifolia were obtained from actual field vegetation community surveys; however, some distribution points were difficult to reach due to various reasons, which can affect the distribution and number of sampling points.…”

Section: Future Prospectsmentioning

confidence: 99%

Potential distribution prediction of Deyeuxia angustifolia in the Tumen River Basin and analysis of major impact factors

Zong

Cao²,

Jin³

et al. 2022

Front. Environ. Sci.

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Deyeuxia angustifolia acts as an indicator of the changes in wetland ecosystems and plays an important ecological role in their functions. Previous studies have shown that the Tumen River Basin is of wide global interest as a transboundary basin area with abundant wetland ecological resources. Despite the implementation of wetland conservation measures in recent years, the distribution area of D. angustifolia in this basin has been reduced due to climate change and anthropogenic activities. Therefore, we used MaxEnt and geographic information system to model a suitable habitat for this species, simulated changes in the habitat, and applied Jackknife to assess the influencing environmental variables. The Jackknife tests showed that slope orientation, solar radiation in September, and total nitrogen were the dominant environmental factors affecting the potential distribution of D. angustifolia. Compared to the current distribution, the total area of land highly and moderately suitable for this species will decrease in the 2050’s and 2070’s, respectively, under two representative concentration paths (RCPs), shifting the centroid of its suitable area and direction of wetland degradation to the northeast. Our study of the projected potential distribution of D. angustifolia in the basin under future climate change could provide important information for its conservation, management, sustainable use, and early warning to prevent its extinction.

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“…The main emphasis lies in the characteristics of short duration, simplified operation, minimal sample size requirement, and superior performance. As a result, MaxEnt is widely used to predict the geographical distributions of endangered animals, plants, and invasive species colonization [ 7 , 23 – 25 ].…”

Section: Introductionmentioning

confidence: 99%

Predicting the global potential distribution of Bursaphelenchus xylophilus using an ecological niche model: expansion trend and the main driving factors

Xiao,

Guo,

Xie

et al. 2024

BMC Ecol Evo

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Bursaphelenchus xylophilus (Steiner&Buhrer) Nickle is a global quarantine pest that causes devastating mortality in pine species. The rapid and uncontrollable parasitic spread of this organism results in substantial economic losses to pine forests annually. In this study, we used the MaxEnt model and GIS software ArcGIS10.8 to predict the distribution of B. xylophilus based on collected distribution points and 19 environmental variables (with a correlation coefficient of|R| > 0.8) for the contemporary period (1970–2000), 2041–2060 (2050s), 2061–2080 (2070s), and 2081–2100 (2090s) under four shared socioeconomic pathways (SSPs). We conducted a comprehensive analysis of the key environmental factors affecting the geographical distribution of B. xylophilus and suitable distribution areas. Our results indicate that in current prediction maps B. xylophilus had potential suitable habitats in all continents except Antarctica, with East Asia being the region with the most highly suitable areas and the most serious epidemic area currently. Precipitation of the warmest quarter, temperature seasonality, precipitation of the wettest month, and maximum temperature of the warmest month were identified as key environmental variables that determine the distribution of B. xylophilus. Under future climatic conditions, the potential geographic distribution of B. xylophilus will expand relative to current conditions. In particular, under the SSP5-8.5 scenario in 2081–2100, suitable areas will expand to higher latitudes, and there will be significant changes in suitable areas in Europe, East Asia, and North America. These findings are crucial for future prevention and control management and monitoring.

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Predicting current and future distributions of Mentha pulegium L. in Tunisia under climate change conditions, using the MaxEnt model

Cited by 42 publications

References 77 publications

Biodiversity protection against anthropogenic climate change: Conservation prioritization of Castanea sativa in the South Caucasus based on genetic and ecological metrics

Biodiversity protection against anthropogenic climate change: Conservation prioritization of Castanea sativa in the South Caucasus based on genetic and ecological metrics

Potential distribution prediction of Deyeuxia angustifolia in the Tumen River Basin and analysis of major impact factors

Predicting the global potential distribution of Bursaphelenchus xylophilus using an ecological niche model: expansion trend and the main driving factors

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