GIS-based assessment of climate change impacts on forest habitableAframomum corrorima(Braun) in Southwest Ethiopia coffee forest

doi:10.1007/s11629-019-5722-2

CORC > 成都山地灾害与环境研究所 > 中国科学院水利部成都山地灾害与环境研究所 > Journal of Mountain Science > Journal of Mountain Science-2020 > Vol17 No.10

	GIS-based assessment of climate change impacts on forest habitableAframomum corrorima(Braun) in Southwest Ethiopia coffee forest
	Fekadu, Ayehu; Soromessa, Teshome; Dullo, Bikila Warkineh
刊名	JOURNAL OF MOUNTAIN SCIENCE
	2020
卷号	17 期号:10 页码:2432-2446
关键词	Aframomum corrorima Coffee forest Bioclimatic variables Suitability GIS MaxEnt
ISSN号	1672-6316
DOI	10.1007/s11629-019-5722-2
文献子类	Article
英文摘要	Climate change is thought to have a greater impact on crops that require particular conditions for their productivity. Southwest Ethiopia is a region where important cash crops such asCoffea arabicaandAframomum corrorima(korerima) originate. These crops are known to require shade for their growth and productivity. This study was conducted to assess the impacts of climate change on an important but neglected cash crop ofA. corrorimausing GIS-based species distribution approaches. Local meteorological data and bioclimatic data from WorldClim were used to map past, present, and future distribution of the crop in the Coffee Forest System of Southwest Ethiopia. Moreover, 96 key informants were interviewed and completed questionnaires to complement the distribution modeling. The key informants mapped the history and present occurrences ofA. corrorimaand based on this, ground-truthing survey was conducted. The interpolation method of the Inverse Distance Weighted was used in ArcGIS 10.5 to develop bioclimatic variables for modeling past and present distribution while data from IPCC (AR4) Emissions Scenarios was used for the future occurrence prediction using Principal Component Analysis. Eleven best bioclimatic variables were selected and MaxEnt was used to model past, present and future distribution ofA. corrorima.The output of our model was validated using Area Under the Curve (AUC) approach. Temperature and precipitation are the most important environmental variable, then temperature increased by 1.3 degrees C in the past (from 1988 to 2018) while it is predicted to increase further by at least 1.4 degrees C before 2050. On the contrary, precipitation decreased by an average of 10.1 mm from the past while it is predicted to decrease further by 12.5 mm before 2050. Our model shows that the area suitable for korerima in 1988 was 20,638.2 ha and it was reduced by half and became 10,545.3 ha in 2018, similarly predicted to shrink into 3225.5 ha by 2050. The findings from the key informants confirm the model results whereby 89.1% of the respondent replied korerima producing area has been shifted into the mountains over the last 30 years (by 150 m a.s.l. from 1988 to 2018) and thus expected to be pushing up in the next 32 years (by 133 m before 2050). The community claims that the length of the rainy season of the area has been shortening from 9 months in the past to an average of 5.5 months recently which also coincides with increasing temperature. We conclude that with the changing climatic condition, the suitable habitat of korerima has already shrank by 48.9% (from 1988 to 2018) and the trend may lead to a shrink by 84.38% before 2050 (from 1988 to 2050). Therefore, it is important to develop site-specific climate adaptation strategies for the region such as promoting alternative livelihoods and avoiding further coffee forest degradation and deforestation.
电子版国际标准刊号	1993-0321
语种	英语
WOS记录号	WOS:000578876400009
内容类型	期刊论文
源URL	[http://ir.imde.ac.cn/handle/131551/50618]
专题	Journal of Mountain Science_Journal of Mountain Science-2020_Vol17 No.10
推荐引用方式 GB/T 7714	Fekadu, Ayehu,Soromessa, Teshome,Dullo, Bikila Warkineh. GIS-based assessment of climate change impacts on forest habitableAframomum corrorima(Braun) in Southwest Ethiopia coffee forest[J]. JOURNAL OF MOUNTAIN SCIENCE,2020,17(10):2432-2446.
APA	Fekadu, Ayehu,Soromessa, Teshome,&Dullo, Bikila Warkineh.(2020).GIS-based assessment of climate change impacts on forest habitableAframomum corrorima(Braun) in Southwest Ethiopia coffee forest.JOURNAL OF MOUNTAIN SCIENCE,17(10),2432-2446.
MLA	Fekadu, Ayehu,et al."GIS-based assessment of climate change impacts on forest habitableAframomum corrorima(Braun) in Southwest Ethiopia coffee forest".JOURNAL OF MOUNTAIN SCIENCE 17.10(2020):2432-2446.