Predicting Potential Habitat Distribution of Sorrel (Rumex vesicarius L.) in India from Presence-Only Data Using Maximum Entropy Model

Reddy, Medagam Thirupathi; Begum, Hameedunnisa; Sunil, N.; Rao, Pandravada Someswara; Kumar, Shashi

doi:10.4236/oalib.1101590

Cited by 4 publications

(2 citation statements)

References 33 publications

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“…The selected bioclimatic variables were added to the above described environmental and edaphic predictors and a new set of 10 bootstrap MaxEnt models was generated optimizing the process to maximum 5,000 iterations and 10,000 background points and setting the model convergence threshold to 0.0001. The model evaluation was performed choosing as test data the 30% of the sampling points through an iterative random seed bootstrap process for each model run ( Nguyen et al, 2021 ; Reddy et al, 2015 ; Préau et al, 2018 ). A stepwise process of model selection was then performed by comparing AUC values, permutation importance of variables and jackknife AUC test results.…”

Section: Methodsmentioning

confidence: 99%

Modeling geographic distribution of arbuscular mycorrhizal fungi from molecular evidence in soils of Argentinean Puna using a maximum entropy approach

Valentin

Voyron

Soteras

et al. 2023

PeerJ

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The biogeographic region of Argentinean Puna mainly extends at elevations higher than 3,000 m within the Andean Plateau and hosts diverse ecological communities highly adapted to extreme aridity and low temperatures. Soils of Puna are typically poorly evolved and geomorphology is shaped by drainage networks, resulting in highly vegetated endorheic basins and hypersaline basins known as salar or salt flats. Local communities rely on soil fertility for agricultural practices and on pastures for livestock rearing. From this perspective, investigating the scarcely explored microbiological diversity of these soils as indicators of ecosystems functioning might help to predict the fragility of these harsh environments. In this study we collected soil samples from 28 points, following a nested design within three different macro-habitats, i.e., Puna grassland, hypersaline salar and family-run crop fields. Total fungi and arbuscular mycorrhizal fungi (AMF) occurrence were analyzed using eDNA sequencing. In addition, the significance of soil salinity and organic matter content as significant predictors of AMF occurrence, was assessed through Generalized Linear Mixed Modeling. We also investigated whether intensive grazing by cattle and lama in Puna grasslands may reduce the presence of AMF in these highly disturbed soils, driving or not major ecological changes, but no consistent results were found, suggesting that more specific experiments and further investigations may address the question more specifically. Finally, to predict the suitability for AMF in the different macro-habitats, Species Distribution Modeling (SDM) was performed within an environmental coherent area comprising both the phytogeographic regions of Puna and Altoandino. We modeled AMF distribution with a maximum entropy approach, including bioclimatic and edaphic predictors and obtaining maps of environmental suitability for AMF within the predicted areas. To assess the impact of farming on AMF occurrence, we set a new series of models excluding the cultivated Chaupi Rodeo samples. Overall, SDM predicted a lower suitability for AMF in hypersaline salar areas, while grassland habitats and a wider temperature seasonality range appear to be factors significantly related to AMF enrichment, suggesting a main role of seasonal dynamics in shaping AMF communities. The highest abundance of AMF was observed in Vicia faba crop fields, while potato fields yielded a very low AMF occurrence. The models excluding the cultivated Chaupi Rodeo samples highlighted that if these cultivated areas had theoretically remained unmanaged habitats of Puna and Altoandino, then large-scale soil features and local bioclimatic constraints would likely support a lower suitability for AMF. Using SDM we evidenced the influence of bioclimatic, edaphic and anthropic predictors in shaping AMF occurrence and highlighted the relevance of considering human activities to accurately predict AMF distribution.

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Section: Methodsmentioning

confidence: 99%

Modeling geographic distribution of arbuscular mycorrhizal fungi from molecular evidence in soils of Argentinean Puna using a maximum entropy approach

Valentin

Voyron

Soteras

et al. 2023

PeerJ

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“…Polygonum is heterogeneous complex taxonomically with various floras treatment as number of genera had been added or removed like Persicaria, Moreover, this species has a medical benefit to treat dysentery with bloody stools, UTI, bacteremia, endocarditis and meningitis (19,20,22 The phenotypic shape of the fruits and seeds in each species have observed beside that, the external features of the surface sculpturing of fruits and seeds by anatomical microscope have studied and recorded all the observations and measurements differences of selected species from family polygonaceae. Generally 5 samples were examined for each species according to their availability in the lab.…”

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confidence: 99%

The Taxonomical Significant of Computerd Phylogenetic Analysis and Morphological Data in Some Species of Polygonaceae

Al-Newani¹

2020

Iraqi J. Agric. Sci.

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This research dealt with study of cladistics taxonomy of five species related to the genus Rumex L. and Polygonum L. from family polygonaceae in Iraq by using Mesquite software V.2.75. This research support strongly delimiting the species P. aviculare L. and P. lapathifolia L.as suggested in floras publication while R. dentatus L. is setted in single group whereas R. vesicarius L. and R. conglomeratus Murray were included in the same group. Also, this study involved characteristics of shape, dimensions, color, and ornamentation of seeds and fruits as the seed forms were ranging from lenticular to trigonous. In terms of size calculations, the seeds of R. vesicarius was recorded the higher range (4.0- 4.5) mm in length while, P. aviculare recorded the lowest (1.5-1) mm in length. However, the shape was lenticular in P. lapathifolia and trigonous in the remaining species. Color of seeds and surface ornamentation is recognized. fruits shape is an important characters in identification of selected species as two groups are distinguished: persistent tubercules tepals which are spine teeth in R. dentatus and tongue like shape in R. conglomeratus, the second group is persistent tepals which are papery in P. lapathifolia, biconvex in P. aviculare and cordate to winged as in R. vesicarius beside that, colors, dimensions and surface nature is also recorded.

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Geographical Information System and Management of Horticultural Genetic Resources with Special Reference to India

Venkateswaran

Reddy

Pandravada

et al. 2019

Conservation and Utilization of Horticultural Genetic Resources

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Predicting Potential Habitat Distribution of Sorrel (Rumex vesicarius L.) in India from Presence-Only Data Using Maximum Entropy Model

Cited by 4 publications

References 33 publications

Modeling geographic distribution of arbuscular mycorrhizal fungi from molecular evidence in soils of Argentinean Puna using a maximum entropy approach

Modeling geographic distribution of arbuscular mycorrhizal fungi from molecular evidence in soils of Argentinean Puna using a maximum entropy approach

The Taxonomical Significant of Computerd Phylogenetic Analysis and Morphological Data in Some Species of Polygonaceae

Geographical Information System and Management of Horticultural Genetic Resources with Special Reference to India

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