ArticleBMC plant biology2025
Predicting the future impact of climate change on the distribution of species in Egypt's mediterranean ecosystems.
Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- Assessment of water use efficiency in arid ecosystems of the coastal land of Egypt using MODIS dataset.Scientific reports · 2026Article
- Predicting global distribution of Caryopteris under climate change using an optimized MaxEnt model: insights into ecological adaptation and conservation.BMC plant biology · 2026Article
- Evaluating the present and future distribution of an endemic oak species (Quercus afares) under climate change in Algeria.Die Naturwissenschaften · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As climate change accelerates, it may significantly alter species distributions and endanger many species. The use of species distribution modeling (SDM) has become increasingly vital for assessing the likely effects of climatic changes on biodiversity. This approach is especially relevant as our understanding of environmental shifts and their ecological implications deepens. SDMs are frequently employed to forecast future shifts in species' geographic ranges, estimate extinction risks, evaluate the effectiveness of existing conservation areas, and prioritize conservation efforts. The urgency of these assessments is highlighted by the fact that the Mediterranean area is heating up 20% quicker than the universal average. Given that species have varying ecological tolerances and attributes, their biological responses to environmental changes are likely to differ significantly. This study aimed to assess the potential future distribution of three native Mediterranean species- Thymelaea hirsuta (L.) Endl., Ononis vaginalis Vahl, and Limoniastrum monopetalum (L.) Boiss.-under two GCMs of HadGEM3-GC31-LL and IPSL-CM6A-LR for the periods of 2060s and 2080s and two Shared Socioeconomic Pathway (SSP 1-2.6 and SSP5-8.5), comparing the use of MaxEnt and ensemble modelling techniques in predicting the impact of future climatic changes on these species' distribution. The results indicated that there are high similarities and agreement between MaxEnt and the ensemble models' outputs. The two modelling techniques exhibited excellent fits and performance. The distribution range of T. hirsuta and O. vaginalis will expand and migrate to the northwest direction of the Mediterranean coast of Egypt, while L. monopetalum will contract. The insights gained from species distribution modeling could guide future conservation efforts and promote the sustainable use of the studied species in the arid coastal environments of the Mediterranean region. Clinical trial number Not applicable.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.