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Heliyon
2023 Jun 01;96:e17405. doi: 10.1016/j.heliyon.2023.e17405.
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Predicting the potential impacts of climate change on the endangered endemic annonaceae species in east africa.
Mkala EM
,
Mwanzia V
,
Nzei J
,
Oluoch WA
,
Ngarega BK
,
Wanga VO
,
Oulo MA
,
Ngarega BK
,
Munyao F
,
Kilingo FM
,
Rono P
,
Waswa EN
,
Mutinda ES
,
Ochieng CO
,
Mwachala G
,
Hu GW
,
Wang QF
,
Katunge JK
,
Victoire CI
.
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Globally, endemic species and natural habitats have been significantly impacted by climate change, and further considerable impacts are predicted. Therefore, understanding how endemic species are impacted by climate change can aid in advancing the necessary conservation initiatives. The use of niche modeling is becoming a popular topic in biological conservation to forecast changes in species distributions under various climate change scenarios. This study used the Australian Community Climate and Earth System Simulator version 1 (ACCESS-CM2) general circulation model of coupled model intercomparison project phase 6 (CMIP6) to model the current distribution of suitable habitat for the four threatened Annonaceae species endemic to East Africa (EA), to determine the impact of climate change on their suitable habitat in the years 2050 (average for 2041-2060) and 2070 (average for 2061-2080). Two shared socio-economic pathways (SSPs) SSP370 and SSP585 were used to project the contraction and expansion of suitable habitats for Uvariodendron kirkii, Uvaria kirkii, Uvariodendron dzomboense and Asteranthe asterias endemic to Kenya and Tanzania in EA. The current distribution for all four species is highly influenced by precipitation, temperature, and environmental factors (population, potential evapotranspiration, and aridity index). Although the loss of the original suitable habitat is anticipated to be significant, appropriate habitat expansion and contraction are projections for all species. More than 70% and 40% of the original habitats of Uvariodendron dzombense and Uvariodendron kirkii are predicted to be destroyed by climate change, respectively. Based on our research, we suggest that areas that are expected to shrink owing to climate change be classified as important protection zones for the preservation of Annonaceae species.
Abbass,
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Abbass,
A review of the global climate change impacts, adaptation, and sustainable mitigation measures.
2022,
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Aguillon,
Introgression.
2022,
Pubmed
Ali,
Expanding or shrinking? range shifts in wild ungulates under climate change in Pamir-Karakoram mountains, Pakistan.
2021,
Pubmed
Bellard,
Will climate change promote future invasions?
2013,
Pubmed
Cavender-Bares,
Integrating remote sensing with ecology and evolution to advance biodiversity conservation.
2022,
Pubmed
Chen,
Conservation and sustainable use of medicinal plants: problems, progress, and prospects.
2016,
Pubmed
Christopher,
Plant species of the genus Uvaria: ethnobotanical uses, biological activities and phytochemistry.
2022,
Pubmed
Corlett,
Will plant movements keep up with climate change?
2013,
Pubmed
Dagallier,
Three new species of Uvariodendron (Annonaceae) from coastal East Africa in Kenya and Tanzania.
2021,
Pubmed
Ehrlén,
Predicting changes in the distribution and abundance of species under environmental change.
2015,
Pubmed
Fourcade,
Habitat amount and distribution modify community dynamics under climate change.
2021,
Pubmed
Fyllas,
Potential Impacts of Climate Change on the Habitat Suitability of the Dominant Tree Species in Greece.
2022,
Pubmed
Gogol-Prokurat,
Predicting habitat suitability for rare plants at local spatial scales using a species distribution model.
2011,
Pubmed
Guisan,
Predicting species distribution: offering more than simple habitat models.
2005,
Pubmed
Johnson,
Dark, bitter-tasting nectar functions as a filter of flower visitors in a bird-pollinated plant.
2006,
Pubmed
Kearney,
Mechanistic niche modelling: combining physiological and spatial data to predict species' ranges.
2009,
Pubmed
Khajoei Nasab,
The influence of climate change on the suitable habitats of Allium species endemic to Iran.
2022,
Pubmed
Kihampa,
Larvicidal and IGR activity of extract of Tanzanian plants against malaria vector mosquitoes.
2009,
Pubmed
Marshall,
Fifteen essential science advances needed for effective restoration of the world's forest landscapes.
2023,
Pubmed
Menezes-Silva,
Different ways to die in a changing world: Consequences of climate change for tree species performance and survival through an ecophysiological perspective.
2019,
Pubmed
Ngumbau,
An annotated checklist of the coastal forests of Kenya, East Africa.
2020,
Pubmed
Sanz-Arnal,
Are Cenozoic relict species also climatic relicts? Insights from the macroecological evolution of the giant sedges of Carex sect. Rhynchocystis (Cyperaceae).
2022,
Pubmed
Strydom,
A roadmap towards predicting species interaction networks (across space and time).
2021,
Pubmed
Velazco,
Using worldwide edaphic data to model plant species niches: An assessment at a continental extent.
2017,
Pubmed
Watuma,
An annotated checklist of the vascular plants of Taita Hills, Eastern Arc Mountain.
2022,
Pubmed
Wen,
Prediction of the potential distribution pattern of the great gerbil (Rhombomys opimus) under climate change based on ensemble modelling.
2022,
Pubmed
