Mapping the habitat suitability of Ottelia species in Africa

Ngarega, Boniface K.; Nzei, John M.; Saina, Josphat K.; Halmy, Marwa Waseem A.; Chen, Jinming; Li, Zhizhong

doi:10.1016/j.pld.2021.12.006

Cited by 13 publications

(21 citation statements)

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“…Despite the inability of Ecological Niche Models to predict species' capacity to evolve, they can give a glimpse of what factors are likely to induce changes in species' distributions (Ngarega et al, 2021). Several ecological niche model algorithms have been proposed, and MaxEnt has shown its efficacy in terms of model performance (Elith et al, 2011; Elith & Leathwick, 2009), reduced computational time, simplicity, ease of use, and has been used extensively (Heneidy et al, 2019; Kaky et al, 2020; Lissovsky & Dudov, 2021; Ngarega et al, 2022; Nzei et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

“…Scarcity of data and unjustifiable absences due to limited sampling are also confounding factors, as available data in museums or herbaria may not have the exact location of a species and limited sampling results in potential biases (Engler et al, 2004). Prolonged weather patterns and temperature can also rapidly change the distribution of aquatic species (Ngarega et al, 2022), which points to the need to better understand and document their species distribution.…”

Section: Introductionmentioning

confidence: 99%

“…(Gillard et al, 2017), Ottelia spp. (Ngarega et al, 2022), Hydrocotyle umbellata and Salvinia auriculata (Heneidy et al, 2019) and water lilies (Nzei et al, 2021), aquatic ferns, particularly in Africa, have remained underexplored. Ecological Niche Modeling is a valuable technique as it can predict suitable habitats both within and outside the current distribution range of a species (Gillard et al, 2020).…”

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confidence: 99%

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The potential distributions of African Azolla species and their implications for African wetland ecosystems for the future

Karichu

Ngarega

Onjalalaina

et al. 2022

Ecology and Evolution

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Climate change is expected to be the primary cause of biodiversity loss in the future (Bellard et al., 2012;Velazco et al., 2019). Ecological Niche Models (ENMs) are the most frequently used technique for predicting the impact of future climate change on species' ranges and distributions. ENMs are used to forecast current and future environmental suitability and provide recommendations for identifying priority areas for protection (Tiamiyu et al., 2021), management, and conservation of species (Nzei et al., 2021), and restoration of habitats (Johnson et al., 2017;Zwiener et al., 2017). As the effects of climate change intensify, the capacity of a species to colonize new

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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The potential distributions of African Azolla species and their implications for African wetland ecosystems for the future

Karichu

Ngarega

Onjalalaina

et al. 2022

Ecology and Evolution

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“…The inclusion of environmental factors can improve ecological studies of different organisms and ecosystems while monitoring their biological implications has application in the development of environmental-conscious policies (Wu et al, 2022). Ecological niche models (ENMs) have been used to explore the role of ecology on the current and future distribution of aquatic species (Nzei et al, 2021;Ngarega et al, 2022). Traditional ENMs assumed that populations of a species are genetically uniform and share the same niche, ignoring the possibility of local adaptation, especially for widespread species (Wiens et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Genetic structure of wild rice Zizania latifolia in an expansive heterogeneous landscape along a latitudinal gradient

Wagutu

Fan

et al. 2022

Front. Ecol. Evol.

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Global aquatic habitats are undergoing rapid degradation and fragmentation as a result of climate change and changes in land use. Understanding the genetic variability and adaptive potential of aquatic plant species is thus important for conservation purposes. In this study, we investigated the genetic diversity and structure of the extant natural populations of Zizania latifolia from five river basins in China based on 46 microsatellite markers. We tested isolation by environment (IBE), isolation by resistance (IBR), and isolation by distance (IBD) patterns using a reciprocal causal model (RCM). Furthermore, we elucidated the impact of the environment on Z. latifolia genetic diversity using generalized linear models (GLMs) and spatially explicit mixed models. Low genetic diversity (HE = 0.125–0.433) and high genetic differentiation (FST = 0.641, Øpt = 0.654) were found. Higher historical gene flow (MH = 0.212–2.354) than contemporary gene flow (MC = 0.0112–0.0247) and significant bottlenecks in almost all populations were identified, highlighting the negative impact of wetland fragmentation. The IBE model was exclusively supported for all populations and in three river basins. The IBD and IBR models were supported in one river basin each. The maximum temperature of the warmest month and precipitation seasonality were the plausible environmental parameters responsible for the observed pattern of genetic diversity. Local adaptation signatures were found, with nine loci identified as outliers, four of which were gene-linked and associated with environmental variables. Based on these findings, IBE is more important than IBD and IBR in shaping the genetic structure of Z. latifolia.

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“…Several studies on animals, plants, insects, amphibians, reptiles, and invasive species have indicated habitat contraction or shift as a result of climate change [ 26 , 27 ]. Previous studies focusing on Ottelia and Nymphaea species in Africa have reported the variable change of suitable areas under climate change [ 28 , 29 ]. In this climate-change-prone environment, the wild populations of Nymphaea have declined significantly from the effects of climate change.…”

Section: Introductionmentioning

confidence: 99%

Ecological Niche Modeling of Water Lily (Nymphaea L.) Species in Australia under Climate Change to Ascertain Habitat Suitability for Conservation Measures

Nzei

Mwanzia

Ngarega

et al. 2022

Plants

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The International Panel on Climate Change (IPCC) projects a global temperature rise of 4.3 ± 0.7 °C by 2100 and an extinction of 8.5% in one out of every six species. Australia’s aquatic ecosystem is no exception; habitat loss, fragmentation, and loss of biodiversity are being experienced. As the center for Nymphaea species distribution, it presents the culturally, ecologically, and scientifically important genus as the best candidate for habitat suitability assessment in climate change, whose habitat suitability is presumed to decline. The models were run according to the maximum entropy (MaxEnt) method, using one general circulation model (GCM). Projections were made for the current, past, and future in medium (4.5) and high (8.5) representative concentration pathways. Significantly, bio2 and bio15 were highly preferred among the species. Less distribution was noted in West Australia compared to the north, east, and south of the continent, while north of the continent in Western Australia, Northern Territory, and Queensland indicate more habitat contractions compared to the east and southeast of Queensland and New South Wales, although it receives high precipitation. Generally, the species respond variably to both temperature and precipitation variables which is a key species response factor for planners and decision makers in species habitat and biodiversity conservation.

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Mapping the habitat suitability of Ottelia species in Africa

Cited by 13 publications

References 64 publications

The potential distributions of African Azolla species and their implications for African wetland ecosystems for the future

The potential distributions of African Azolla species and their implications for African wetland ecosystems for the future

Genetic structure of wild rice Zizania latifolia in an expansive heterogeneous landscape along a latitudinal gradient

Ecological Niche Modeling of Water Lily (Nymphaea L.) Species in Australia under Climate Change to Ascertain Habitat Suitability for Conservation Measures

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