POTENTIAL DISTRIBUTION OF DOMESTICATED Sechium edule (CUCURBITACEAE) IN MEXICO

IF 0.5 4区 生物学 Q4 PLANT SCIENCES Acta Biologica Colombiana Pub Date : 2022-03-31 DOI:10.15446/abc.v27n3.93485
Luis Angel Barrera Guzman, J. Cadena Iñiguez, J. P. Legaria Solano, Jaime Sahagún Castellanos, Gabriela Ramírez Ojeda
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引用次数: 1

Abstract

Mexico is the centre of origin of the chayote (Sechium edule (Jacq.) Sw), an important plant in human consumption and in pharmaceuticals. The objective of this study was to determine the potential distribution of domesticated S. edule in Mexico using seven species distribution algorithms, to efficiently manage S. edule resources and help its conservation by identifying patterns of geographic distribution. Otherwise, areas of high suitability can be used to produce improved seed at a lower cost. 162 GBIF occurrence points and nine layers in raster format were used to evaluate seven algorithms of species distribution models. To evaluate the reliability and performance of the models, the statistics Area Under the Curve (AUC) and true skill statistic was used. Predominant climate types were Cwb (33.3 %) and Aw (17.9 %); predominant soil types were leptosol (33.3 %) and phaozem (16.7 %). The seven models showed areas of high suitability (> 0.75) in Chiapas, Guerrero, Oaxaca, Veracruz, Tabasco, Puebla and Hidalgo states. AUC values for the seven models were > 0.8 and their performance was adequate (0.4 > TSS < 0.7). Classification tree analysis was found to be the best algorithm measured by AUC (0.90); however, the seven models were adequate to explain S. edule distribution in Mexico. S. edule climatic adaptability also allows to be distributed towards the Yucatan Peninsula and western Mexico. The distribution of S. edule in Mexico, according to the studied algorithms, is limited to total annual precipitation and temperature seasonality.
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墨西哥国产芥菜的潜在分布
墨西哥是chayote(Sechium edule(Jacq.)Sw)的原产地,它是人类消费和制药的重要植物。本研究的目的是使用七种物种分布算法来确定驯化的S.edule在墨西哥的潜在分布,以有效管理S.edule资源,并通过识别地理分布模式来帮助其保护。否则,可以使用高适应性区域以较低的成本生产改良种子。162个GBIF出现点和9个光栅层用于评估物种分布模型的7种算法。为了评估模型的可靠性和性能,使用了统计曲线下面积(AUC)和真实技能统计。主要气候类型为Cwb(33.3%)和Aw(17.9%);主要土壤类型为轻水溶胶(33.3%)和磷锌土(16.7%)。七个模型显示,恰帕斯州、格雷罗州、瓦哈卡州、韦拉克鲁斯州、塔巴斯科州、普埃布拉州和伊达尔戈州的适宜性较高(>0.75)。7个模型的AUC值均大于0.8,性能良好(0.4>TSS<0.7)。分类树分析是以AUC(0.90)衡量的最佳算法;然而,这七个模型足以解释S.edule在墨西哥的分布。S.edule的气候适应性也允许向尤卡坦半岛和墨西哥西部分布。根据所研究的算法,S.edule在墨西哥的分布仅限于年总降水量和温度季节性。
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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来源期刊
Acta Biologica Colombiana
Acta Biologica Colombiana Agricultural and Biological Sciences-General Agricultural and Biological Sciences
CiteScore
1.60
自引率
0.00%
发文量
21
审稿时长
13 weeks
期刊介绍: The journal is published quarterly and divulges original and unpublished results of basic and applied research about biological subjects with special interest in Neotropical region. Manuscripts may be research articles, reviews, reflection articles or short notes. The Acta biol. Colomb Journal have a scientific and editorial board composed of expert researchers of in their areas of knowledge.
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