2022
DOI: 10.1007/978-3-030-78566-6_2
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Species Distribution Based-Modelling Under Climate Change: The Case of Two Native Wild Olea europaea Subspecies in Morocco, O. e. subsp. europaea var. sylvestris and O. e. subsp. maroccana

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Cited by 9 publications
(6 citation statements)
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“…sylvestris, are predicted to increase habitat suitability, while O. europaea subsp. maroccana shows substantial contraction in future climate (Kassout et al, 2022). This suggests that plant species behave differently in future climate projections, even at the subspecies level.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…sylvestris, are predicted to increase habitat suitability, while O. europaea subsp. maroccana shows substantial contraction in future climate (Kassout et al, 2022). This suggests that plant species behave differently in future climate projections, even at the subspecies level.…”
Section: Discussionmentioning
confidence: 99%
“…The species' distribution range reflects its adaptation to the Mediterranean-type climate of the world. Such a climate is considered one of the most vulnerable zones to global warming (Almeida et al, 2022;Kassout et al, 2022). The current distribution range is stretched across many regions of all the continents, especially prominent parts of the southern hemisphere.…”
Section: Discussionmentioning
confidence: 99%
“…The ongoing global warming is already altering plant species growth and geographical distribution (Doblas-Miranda et al 2017; Vellend et al 2017; Kassout et al 2022a). In fact, with the current rapid rate of warming, global temperature is expected to reach +1.5°C between 2030 and 2050 (IPCC 2018).…”
Section: Introductionmentioning
confidence: 99%
“…Currently, a considerable number of SDMs method were available and widely used such as, BIOCLIM (bioclimatic modeling), Domain (domain environmental envelope), GAM (generalized additive models), MARS (multivariate adaptive regression splines) and MaxEnt (Maximum entropy) (Pecchi et al 2019). Among theme, MaxEnt algorithm (Phillips et al 2006) provides reliable results of suitability when presence-only data are available and high exibility to deal with both widely distributed and rare species occurrences (Elith et al 2006; Moukrim et al 2019; Kassout et al 2022a). For instance, the maximum entropy model has been used to predict macroecological patterns (Harte 2011), species abundance distributions (White et al 2012), trait-based community assembly (Shipley et al 2011) and species ecological niche models at multiple scales (Elith et al 2010;Guisan et al 2017).…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, the observed diversity in olive cultivars is a critical component in preserving and maintaining the productivity of olive-based agroecosystems under various environmental conditions. However, in the face of global changes, it is crucial to understand how olive cultivars will respond to environmental changes, especially drought (Khadari et al, 2019;Kassout et al, 2022). The ability of olive trees to adapt to changing environmental conditions will impact their longterm viability, making this an important area of research.…”
Section: Introductionmentioning
confidence: 99%