The status and potential distribution of Hydrocotyle umbellata L. and Salvinia auriculata Aubl. under climate change scenarios

Heneidy, Selim Z.; Halmy, Marwa Waseem A.; Fakhry, Amal M.; El-Makawy, Asmaa M.

doi:10.1007/s10452-019-09705-4

Cited by 15 publications

(11 citation statements)

References 66 publications

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“…Therefore, an optimum number of predictors must be calculated to maximize the effectiveness of the analysis. Regardless of the challenges, we modeled the distribution of seven Ottelia species using Maxent and presence-only data and produced reliable models similar to Guo et al (2019), as well as other aquatic macrophytes (Heneidy et al, 2019;McGarvey et al, 2018).…”

Section: Discussionmentioning

confidence: 99%

“…has been shown to outdo the genetic algorithms and the regression models in SDM (Heikkinen et al, 2006;Elith et al, 2006) and could account for the complex interactions between geographical features responsible for the absence or presence of water basins (Phillips and Dudik, 2008). Furthermore, MaxEnt can predict species' habitat suitability in the unknown wetlands/basins using presence-only data and has been successfully conducted in several wetland species, such as O. acuminata (Guo et al, 2019) and Hydrocotyle umbellata and Salvinia auriculata (Heneidy et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

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Environmental determinants of the current and future distribution of seven Ottelia Pers. species in African freshwater bodies

Ngarega

Nzei

Saina

et al. 2021

Preprint

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Understanding the influence of environmental covariates on plants’ distribution is critical, especially for aquatic plant species. Climate change is likely to alter the distribution of aquatic species. However, knowledge of this change on the burden of aquatic macroorganisms is often fraught with difficulty. Ottelia Pers., a model genus for studying the evolution of the aquatic family Hydrocharitaceae, is mainly distributed in slow-flowing creeks, rivers or lakes throughout the world’s pantropical areas. Due to recent rapid climate changes, the natural Ottelia populations have declined significantly. In the present study, we use maximum entropy (MaxEnt) to explore the environmental drivers of seven Ottelia species distribution in African freshwater bodies. The models use known background points to determine how environmental covariates vary spatially and produce continental maps of these species’ distribution. We also estimate the possible influences of the optimistic and extreme pessimistic Intergovernmental Panel on Climate Change (IPCC) pathway scenarios and identify high suitability areas under these scenarios. Model performances were statistically significant than random expectations with Area Under Curve (AUC) values above 0.831, indicating the good performance of the models. We observe that our studied Ottelia species had distinct spatial patterns influenced by climate variations (e.g. Bio9- mean temperature of driest quarter, Bio12- annual precipitation, and Bio14- Precipitation of the driest month). While there is a lack of accord in defining the limiting factors for the distribution of the seven species, it is clear that water-temperature conditions have promising effects when kept within optimal ranges. Niche overlap analyses showed that most Ottelia species have similar but not equivalent climatic niches. In addition, considering the expected warming in the future, the persistence and survival of the Ottelia species in Africa could be compromised. The present findings provide a theoretical basis for the distribution of various Ottelia species in Africa.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Environmental determinants of the current and future distribution of seven Ottelia Pers. species in African freshwater bodies

Ngarega

Nzei

Saina

et al. 2021

Preprint

Self Cite

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“…It is marketed as an aquatic ornamental plant. It can be used to eliminate lead and other heavy metal pollutants from wastewater in artificial wetlands [ 4 , 5 , 6 ]. S. auriculata can be utilized as a mulch because of its quick growth and nutrient uptake.…”

Section: Introductionmentioning

confidence: 99%

Mechanistic Insights on the In Vitro Antibacterial Activity and In Vivo Hepatoprotective Effects of Salvinia auriculata Aubl against Methotrexate-Induced Liver Injury

Attallah

Mokhtar²,

Elekhnawy

et al. 2022

Pharmaceuticals

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Methotrexate (MTX) is widely used in the treatment of numerous malignancies; however, its use is associated with marked hepatotoxicity. Herein, we assessed the possible hepatoprotective effects of Salvinia auriculata methanol extract (SAME) against MTX-induced hepatotoxicity and elucidated the possible fundamental mechanisms that mediated such protective effects for the first time. Forty mice were randomly allocated into five groups (eight/group). Control saline, MTX, and MTX groups were pre-treated with SAME 10, 20, and 30 mg/kg. The results revealed that MTX caused a considerable increase in blood transaminase and lactate dehydrogenase levels, oxidative stress, significant activation of the Nod-like receptor-3 (NLPR3)/caspase-1 inflammasome axis, and its downstream inflammatory cytokines interleukin-1β (IL-1β) and interleukin-18 (IL-18). MTX also down-regulated nuclear factor erythroid 2-related factor 2 (Nrf2) expression. Additionally, it increased the immunostaining of nuclear factor kappa-B (NF-κB) and downstream inflammatory mediators. Furthermore, the hepatic cellular apoptosis was dramatically up-regulated in the MTX group. On the contrary, prior treatment with SAME significantly improved biochemical, histopathological, immunohistochemical alterations caused by MTX in a dose-dependent manner. The antibacterial activity of SAME has also been investigated against Acinetobacter baumannii clinical isolates. LC-ESI-MS/MS contributed to the authentication of the studied plant and identified 24 active constituents that can be accountable for the SAME-exhibited effects. Thus, our findings reveal new evidence of the hepatoprotective and antibacterial properties of SAME that need further future investigation.

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“…In particular, aquatic ecologists working in surface waters above the thermocline often turn to land-based weather station or bioclimatic data as proxies for in situ temperature measurements (e.g. Lopes et al ., 2017; Heneidy et al ., 2019; Armitage & Jones, 2020; Zhang et al ., 2020; Kariyawasam et al ., 2021). While such data are commonly acknowledged to be imperfect approximations of surface water temperatures, the correspondence between air and lake surface water temperatures (LSWT) has only been measured for a small number of large lakes (Mccombie, 1959; Toffolon et al ., 2014; Roberts et al ., 2017; Piccolroaz et al ., 2018), and it is unclear how generally representative the interpolated bioclimatic descriptors of these air temperatures are of LSWT.…”

Section: Introductionmentioning

confidence: 99%

Global maps of lake surface water temperatures reveal pitfalls of air-for-water substitutions in ecological prediction

Armitage

2022

Preprint

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In modeling species distributions and population dynamics, spatially-interpolated climatic data are often used as proxies for real, on-the-ground measurements. For shallow freshwater systems, this practice may be problematic as interpolations used for surface waters are generated from terrestrial sensor networks measuring air temperatures. Using these may therefore bias statistical estimates of species' environmental tolerances or population projections -- particularly among pleustonic and epilimnetic organisms. Using a global database of millions of daily satellite-derived lake surface water temperatures (LSWT), I trained machine learning models to correct for the correspondence between air and LSWT as a function of atmospheric and topographic predictors, resulting in the creation of monthly high-resolution global maps of air-LSWT offsets, corresponding uncertainty measures, and derived LSWT-based bioclimatic layers for use by the scientific community. I then compared the performance of these LSWT layers and air temperature-based layers in population dynamic and ecological niche models (ENM). While generally high, the correspondence between air temperature and LSWT was quite variable and often nonlinear depending on the spatial context. These LSWT predictions were better able to capture the modeled population dynamics and geographic distributions of two common aquatic plant species. Further, ENM models trained with LSWT predictors more accurately captured lab-measured thermal response curves. I conclude that these predicted LSWT temperatures perform better than raw air temperatures when used for population projections and environmental niche modeling, and should be used by practitioners to derive more biologically-meaningful results. These global LSWT predictions and corresponding error estimates and bioclimatic layers have been made freely available to all researchers in a permanent archive.

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The status and potential distribution of Hydrocotyle umbellata L. and Salvinia auriculata Aubl. under climate change scenarios

Cited by 15 publications

References 66 publications

Environmental determinants of the current and future distribution of seven Ottelia Pers. species in African freshwater bodies

Environmental determinants of the current and future distribution of seven Ottelia Pers. species in African freshwater bodies

Mechanistic Insights on the In Vitro Antibacterial Activity and In Vivo Hepatoprotective Effects of Salvinia auriculata Aubl against Methotrexate-Induced Liver Injury

Global maps of lake surface water temperatures reveal pitfalls of air-for-water substitutions in ecological prediction

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