Habitat suitability study for green gram production under present and future climatic scenarios in Kibwezi East Kenya

Zipporah Maluvu, Oludhe Christopher, Kisangau Daniel, M. J. Mwende
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Abstract

The species distribution model was used to predict the suitability of green gram production under the present, RCP 4.5 and 8.5 climate scenarios. An ensemble of a species distribution model comprising six models was developed. Validation of these models revealed that all models were robust with the best model being random forest (RF) with Area Under the Curve (AUC) = 0.98 and Deviance = 0.29 while the least was the generalized linear model (GLM) with AUC = 0.87 and Deviance = 0.71. The green gram habitat suitability greatly decreased under RCP 8.5 climate scenario prediction whereby about half of the agricultural land in the Kibwezi East Sub County was highly unsuitable for green gram production. The Habitat suitability predictions showed that Thange ward out of the four wards in the location was the most suitable for green gram production. However, as per the predictions its suitability for green gram production may be affected by climate change under all climate scenarios. Results from this study give decision-makers a foundational understanding of the likely effects of climate change in the 2050s compared to the present scenario on habitat suitability for green gram production and a basis for creating strategies and policies to enhance adaptation and create resilience to its effects.
肯尼亚东部基布韦齐当前和未来气候条件下青禾苗生产的生境适宜性研究
物种分布模型用于预测在当前、RCP 4.5 和 8.5 气候情景下青禾苗生产的适宜性。建立了一个由六个模型组成的物种分布模型集合。对这些模型的验证表明,所有模型都是稳健的,最佳模型是随机森林模型(RF),其曲线下面积(AUC)= 0.98,偏差= 0.29;最小模型是广义线性模型(GLM),其曲线下面积(AUC)= 0.87,偏差= 0.71。在 RCP 8.5 气候情景预测下,青禾苗生境适宜性大大降低,基布韦齐东部子县约有一半的农田极不适合青禾苗生产。栖息地适宜性预测显示,在该地区的四个区中,Thange 区最适合青禾苗生产。然而,根据预测,在所有气候情景下,该区的青禾苗生产适宜性都可能受到气候变化的影响。这项研究的结果使决策者对 2050 年代气候变化与当前情景相比可能对绿色禾本科植物生产栖息地适宜性产生的影响有了基本的了解,并为制定战略和政策以加强适应性和提高对气候变化影响的复原力奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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