Modeling potential habitat of Astragalus verus Olivier for conservation decisions: A comparison of three correlative models

Safaei, Mojdeh; Tarkesh, Mostafa; Bashari, Hossein; Bassiri, Mustapha

doi:10.1016/j.flora.2018.03.001

Cited by 22 publications

(15 citation statements)

References 29 publications

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“…SDMs are powerful decision-making tools for predicting landuse change and assessing the impact of global warming on species. They also assist in planning of nature conservation programs and reintroduction of endangered species (Amici et al, 2017;Safaei et al, 2018). The role of ecological niches is pivotal in explaining the persistence of species competitive ability and geographical distribution (Silvertown, 2004).…”

Section: Introductionmentioning

confidence: 99%

“…Manetti ex Carrière) (Thomas, 2013). Hence, the identification of the current geographical distribution and the threats that expose endemic taxa to the risk of extinction constitute the first step to launch a conservation strategy (Booth et al, 2014;Cheddadi et al, 2017;Safaei et al, 2018). The widespread decline of forests in various ecosystems and biomes is mainly linked to climate change (Allen et al, 2010;Choat et al, 2012;McDowell & Allen, 2015).…”

Section: Introductionmentioning

confidence: 99%

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Modeling of the current and future potential distribution of Atlas cedar (Cedrus atlantica) forests revealed shifts in the latitudinal, longitudinal and altitudinal range towards more humid conditions

Arar

Nouidjem

Bοunar

et al. 2020

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Environmental forcing affects biodiversity in some parts of the biosphere where many sensitive species, including endemic and rare species, respond through changes in their geographical distribution. Modelling of spatial dynamics of species is crucial to advance our understanding of species' adaptive behaviour and sensitivity to environmental changes and forcings. The present study aimed at assessing suitable habitats of the Atlas cedar (Cedrus atlantica) in North Algeria for the current period (1990-2000) and predicting its future range in 2050 and 2070, following climate warming scenarios. The Maximum Entropy (Max-Ent) model was used to model the present and future potential distribution of Atlas cedar forests. A total of 1328 occurrence records obtained from field surveys and 50 environmental variables were used. These variables included 19 climatic variables (WorldClim database), 21 edaphic proprieties (SoilGrids database), and 10 topographic traits (retrieved from a 30 m digital elevation model). MaxEnt showed high predictive power with a significant value of Area Under Curve (AUC=0.988). Potential distribution of Cedrus atlantica forests for the present period was confined to mountain areas (predicted potential range size = 2089 km²). Environmental factors with the highest percentage of contribution included: soil total nitrogen (22.2%), elevation (20.5%), mean temperature of the most humid quarter 'Bio8' (18.8%), slope (12.9%), soil total carbon (10.3%), and precipitation of the driest month 'Bio14' (3.4%). The species range is expected to reduce significantly under future climate change scenarios (decline of about 70.4-80.6% of its current potential distribution), with a shift towards more humid conditions, in this case to the north and east towards more humid climates and mesic habitats. The predicted shifts in the altitude gradient follow in the direction of higher elevations, with the disappearance of cedar forests at low altitudes. This indicates that the identified Atlas cedar refugia resulting from climate change are determined by humidity. Our findings provide information on the magnitude of environmental forcings that seriously threaten Cedrus atlantica forests in drought-prone areas in North Africa. It is therefore necessary to implement effective strategies to preserve and protect more sensitive forests.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modeling of the current and future potential distribution of Atlas cedar (Cedrus atlantica) forests revealed shifts in the latitudinal, longitudinal and altitudinal range towards more humid conditions

Arar

Nouidjem

Bοunar

et al. 2020

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“…Techniques including statistical modeling and geographic information systems (GIS) have been widely applied in ecology for conservation and resource management (Guisan and Zimmermann 2000;Warren et al 2008;Brito et al 2009;Abdelaal et al 2019). In particular, species distribution models (SDMs) exploit the associations between site-level species occurrences and the environmental features of those locations to make predictions in space and/or time (Franklin 2009;Fois et al 2016;Amici et al 2017;Fois et al 2016;Safaei et al 2018;Abdelaal et al 2019). For the purpose, species Occurrence records are obtained through field surveys as well as from herbarium and museum databases.…”

Section: Introductionmentioning

confidence: 99%

Maximum entropy modeling for the conservation of Hopea odorata in riparian forests, central Thailand

2020

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Abstract. Asanok L, Kamyo T, Marod D. 2020. Maximum entropy modeling for the conservation of Hopea odorata in riparian forests, central Thailand. Biodiversitas 21: 4663-4670. Hopea odorata plays a dominant role in both ecologically and economically in Thailand. We analyzed potentially suitable areas for H. odorata in the riparian zone of the Chao Phraya River using the software MaxEnt. Modeling included 164 occurrence records along with 19 climate-related variables, slope, aspect, and elevation. Precipitation was the key climatic variable influencing the distribution of H. odorata. Riparian areas along the Chao Phraya that were predicted to be highly suitable for this species were located in the provinces of Nakhon Sawan, Ang Thong, Phra Nakhon Si Ayutthaya, Pathum Thani, Nonthaburi, and Bangkok. The ROC AUC score was 0.891, indicating that MaxEnt is an excellent tool for predicting suitable regions for the restoration or cultivation of commercially and ecologically valuable species such as H. odorata. Models such as what we have presented here can facilitate habitat conservation and sustainable resource use for rare and important plants.

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“…The research is ongoing for the development of safer and better treatment of this ailment. Herbal medications are found to influence β-cells positively and regulate insulin levels [ 36 ]. The tribal history of many civilizations supports the use of Bombax ceiba L. powder for diabetes treatment [ 37 ].…”

Section: Introductionmentioning

confidence: 99%

Comparative Evaluation of Various Extraction Techniques for Secondary Metabolites from Bombax ceiba L. Flowering Plants along with In Vitro Anti-Diabetic Performance

et al. 2022

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Bombax ceiba L. (Family: Malvaceae) was rightly called the “silent doctor” in the past as every part of it had medicinal value. For centuries, humans have used this plant according to the traditional medicinal systems of China, Ayurveda, and tribal communities. Recently, with an emerging interest in herbals, attention has been paid to scientifically validating medicinal claims for the treatment of diabetes using secondary metabolites of B. ceiba L. flowers. In the present study, specific secondary metabolites from the flowers of B. ceiba L. were isolated in good yield using the solvent extraction methodology, and their in vitro anti-diabetic efficacy was examined. Extraction efficiency of each solvent for secondary metabolites was found in following order: water > ethanol> methanol > chloroform > petroleum ether. Quantitative analysis of secondary metabolites showed 120.33 ± 2.33 mg/gm polyphenols, 60.77 ± 1.02 mg/g flavonoids, 60.26 ± 1.20 mg/g glycosaponins, 0.167 ± 0.02 mg/g polysaccharides for water extract; 91.00 ± 1.00 mg/g polyphenols, 9.22 ± 1.02 mg/g flavonoids, 43.90 ± 0.30 mg/g glycosaponins, 0.090 ± 0.03 mg/g poly saccharides for ethanol extract; 52.00 ± 2.64 mg/g polyphenols, 35.22 ± 0.38 mg/g flavonoids, 72.26 ± 1.05 mg/g glycosaponins, 0.147 ± 0.01 mg/g polysaccharides for methanol extract; 11.33 ± 0.58 mg/g polyphenols, 23.66 ± 1.76 mg/g flavonoids, 32.8 ± 0.75 mg/g glycosaponins, 0.013 ± 0.02 mg/g polysaccharides for chloroform extract; and 3.33 ± 1.53 mg/g polyphenols, 1.89 ± 1.39 mg/g flavonoids, 21.67 ± 1.24 mg/g glycosaponins, 0.005 ± 0.01 mg/g polysaccharides for petroleum ether extract. Glucose uptake by yeast cells increased 70.38 ± 2.17% by water extract.

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Modeling potential habitat of Astragalus verus Olivier for conservation decisions: A comparison of three correlative models

Cited by 22 publications

References 29 publications

Modeling of the current and future potential distribution of Atlas cedar (Cedrus atlantica) forests revealed shifts in the latitudinal, longitudinal and altitudinal range towards more humid conditions

Modeling of the current and future potential distribution of Atlas cedar (Cedrus atlantica) forests revealed shifts in the latitudinal, longitudinal and altitudinal range towards more humid conditions

Maximum entropy modeling for the conservation of Hopea odorata in riparian forests, central Thailand

Comparative Evaluation of Various Extraction Techniques for Secondary Metabolites from Bombax ceiba L. Flowering Plants along with In Vitro Anti-Diabetic Performance

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