Ecological Niche Modeling for Halophyte Species with Possible Anthropogenic Use in Agricultural Saline Soils

Lastiri-Hernández, Marcos Alfonso; Cruz-Cárdenas, Gustavo; Álvarez-Bernal, Dioselina; Vázquez-Sánchez, Monserrat; Torres, Kalina Bermúdez

doi:10.1007/s10666-020-09690-1

Cited by 7 publications

(6 citation statements)

References 42 publications

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“…The choice of species distribution models has become an important subject within the scientific community. The use of species distribution models has increased in the last years ( Kaky et al., 2020 ; Lastiri-Hernández et al., 2020 ; Gilani et al., 2020 ; Kunwar et al., 2020 ; Quintero et al., 2021 ). The results from these studies showed that the exactitude and the predictive power of a model depend initially on the type of the model, the choice of the environmental variables, the area of the distribution of the studied species, the sample size and the type of species ( Kaky et al., 2020 ).…”

Section: Discussionmentioning

confidence: 99%

Predicting the potential impacts of climate change on the endangered Caesalpinia bonduc (L.) Roxb in Benin (West Africa)

Wouyou

Lokonon

Idohou

et al. 2022

Heliyon

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Section: Discussionmentioning

confidence: 99%

Predicting the potential impacts of climate change on the endangered Caesalpinia bonduc (L.) Roxb in Benin (West Africa)

Wouyou

Lokonon

Idohou

et al. 2022

Heliyon

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“…), Heliotropium curassavicum L., Chenopodium murale L., Chloris gayana Kunth, Diplachne fusca , Distichlis spicata L., Rumex mexicanus Meisn. and Bacopa monnieri Wettst [ 34 ].…”

Section: Methodsunclassified

Identification of Halophilic and Halotolerant Bacteria from the Root Soil of the Halophyte Sesuvium verrucosum Raf

Pérez-Inocencio

Iturriaga

Aguirre-Mancilla

et al. 2022

Plants

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Soil salinity is a condition that limits crop growth and productivity, and soil-dwelling bacteria from halophytic plant roots may be a viable strategy to cope with low productivity due to salt stress. Halophilic and halotolerant bacteria of the root soil of Sesuvium verrucosum were analyzed in this study as there is little evidence regarding its associated microbiology. Soil was sampled from the roots of Sesuvium verrucosum to obtain the cultivable bacteria. Their morphological characteristics were identified and they were molecularly identified by the 16S sequence. The growth capacity of the bacteria was determined at different levels of pH and salinity, and several growth promotion characteristics were identified, such as phosphorus solubilization, indole acetic acid production by the tryptophan-dependent (AIAt) and tryptophan-independent (IAA) pathways, ammonium production from organic sources, solubilization of carbonates, and zinc and sodium capture capacity. In addition, the bacteria that presented the best characteristics for germination variables of Solanum lycopersicum were evaluated. A total of 20 bacteria from root soil of Sesuvium verrucosum Raf. belonging to the phyla Proteobacteria (50%), Firmicutes (45%) and Actinobacteria (5%) were identified, with each one having different morphological characteristics. Among the bacterial isolates, 45% had the ability to resist different levels of salinity and pH, ranging from 0 to 20% of NaCl, and pH between 5 and 11. Moreover, these bacteria had the capacity to solubilize carbonates, phosphorus and zinc, capture sodium, produce ammonium from organic substrates and IAA (indole acetic acid), and promote enzymatic activity of amylases, proteases, lipases and cellulases. The bacteria evaluated on the germination of Solanum lycopersicum had an influence on germination at different salinity levels, with greater influence at 100 mM NaCl. This demonstrated that halophilic bacteria belonging to the rhizosphere of Sesuvium verrucosum have the ability to promote growth in extreme salinity conditions, making them candidates for the recovery of productivity in saline soils.

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“…Although Sentinel-1 and Sentinel-2 data have been freely available since 2014 and 2016, respectively, their use for mapping vegetation in OCCs remains low (n = 6). Indeed, most studies used multi temporal Sentinel-2 images [45,[71][72][73][74] whereas one study used Sentinel-1 images [75].…”

Section: The Importance Of Spatio-temporal Resolutionsmentioning

confidence: 99%

“…Specifically, several studies showed the utility of variables that characterize vegetation phenology derived from multispectral satellite data to map natural vegetation, such as MODIS [82,83], Landsat [54], ASTER [84], RapidEye [51], or hyperspectral airborne data [85]. Although Sentinel-2 data are increasingly relevant for OCCs, their use remained limited to a few acquisitions [45,[71][72][73]. Notably, Delalay et al [74] reported the utility of Sentinel-2 time-series in OCCs for mapping vegetation classes in Nepal.…”

Section: Underused Rs-based Environmental Variablesmentioning

confidence: 99%

One-Class Classification of Natural Vegetation Using Remote Sensing: A Review

Rapinel

Hubert‐Moy

2021

Remote Sensing

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Advances in remote sensing (RS) technology in recent years have increased the interest in including RS data into one-class classifiers (OCCs). However, this integration is complex given the interdisciplinary issues involved. In this context, this review highlights the advances and current challenges in integrating RS data into OCCs to map vegetation classes. A systematic review was performed for the period 2013–2020. A total of 136 articles were analyzed based on 11 topics and 30 attributes that address the ecological issues, properties of RS data, and the tools and parameters used to classify natural vegetation. The results highlight several advances in the use of RS data in OCCs: (i) mapping of potential and actual vegetation areas, (ii) long-term monitoring of vegetation classes, (iii) generation of multiple ecological variables, (iv) availability of open-source data, (v) reduction in plotting effort, and (vi) quantification of over-detection. Recommendations related to interdisciplinary issues were also suggested: (i) increasing the visibility and use of available RS variables, (ii) following good classification practices, (iii) bridging the gap between spatial resolution and site extent, and (iv) classifying plant communities.

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Ecological Niche Modeling for Halophyte Species with Possible Anthropogenic Use in Agricultural Saline Soils

Cited by 7 publications

References 42 publications

Predicting the potential impacts of climate change on the endangered Caesalpinia bonduc (L.) Roxb in Benin (West Africa)

Predicting the potential impacts of climate change on the endangered Caesalpinia bonduc (L.) Roxb in Benin (West Africa)

Identification of Halophilic and Halotolerant Bacteria from the Root Soil of the Halophyte Sesuvium verrucosum Raf

One-Class Classification of Natural Vegetation Using Remote Sensing: A Review

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