Maximum Entropy Niche Modelling to Estimate the Potential Distribution of Phytophthora megakarya (Brasier & M. J. Griffin) in Tropical Regions

Q3 Environmental Science European Journal of Ecology Pub Date : 2021-01-11 DOI:10.17161/EUROJECOL.V6I2.13802
Maxwell C. Obiakara, P. M. Etaware, K. S. Chukwuka
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引用次数: 5

Abstract

Background: Phytophthora megakarya is an invasive pathogen endemic to Central and West Africa. This species causes the most devastating form of black pod disease. Despite the deleterious impacts of this disease on cocoa production, there is no information on the geographic distribution of P. megakarya. Aim: In this study, we investigated the potential geographic distribution of P. megakarya in cocoa-producing regions of the world using ecological niche modelling. Methods: Occurrence records of P. megakarya in Central and West Africa were compiled from published studies. We selected relevant climatic and edaphic predictor variables in the indigenous range of this species to generate 14 datasets of climate-only, soil-only, and a combination of both data types. For each dataset, we calibrated 100 candidate MaxEnt models using 20 regularisation multiplier values and five feature classes. The best model was selected from statistically significant candidates with an omission rate ≤ 5% and the lowest Akaike Information Criterion corrected for small sample sizes, and projected onto cocoa-producing regions in Southeast Asia, Central and South America. The risk of extrapolation in model transfer was measured using the mobility-oriented parity (MOP) metric. Results: We found an optimal goodness-of-fit and complexity for candidate models incorporating both climate and soil data. Predictions of the model with the best performance showed that nearly all of Central Africa, especially areas in Gabon, Equatorial Guinea, and southern Cameroon are at risk of black pod disease. In West Africa, suitable environments were observed along the Atlantic coast, from southern Nigeria to Gambia. Our analysis suggested that P. megakarya is capable of subsisting outside its native range, at least in terms of climatic and edaphic factors. Model projections identified likely suitable areas, especially in Brazil and Colombia, from southwestern Mexico down to Panama, and across the Caribbean islands in the Americas, and in Sri Lanka, Indonesia, Malaysia, and Papua New Guinea in Asia and adjacent areas Conclusion: The outcomes of this study would be useful for developing measures aimed at preventing the spread of this pathogen in the tropics.
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用最大熵生态位模型估计巨疫霉在热带地区的潜在分布
背景:巨疫霉是中非和西非特有的一种侵袭性病原体。这个物种引起最具破坏性的黑豆荚病。尽管这种疾病对可可生产造成了有害影响,但没有关于该疾病地理分布的信息。目的:利用生态位模型,对世界可可产地的潜在地理分布进行了研究。方法:从已发表的文献资料中整理中非和西非地区的megakarya发生记录。我们在该物种的本地范围内选择了相关的气候和土壤预测变量,生成了14个仅气候、仅土壤和两种数据类型的组合数据集。对于每个数据集,我们使用20个正则化乘数值和5个特征类校准了100个候选MaxEnt模型。从遗漏率≤5%且经小样本量校正后赤池信息标准最低的候选数据中选择最佳模型,并将其投影到东南亚、中南美洲的可可产区。外推的风险在模型转移是使用流动性取向平价(MOP)度量测量。结果:我们发现了包含气候和土壤数据的候选模型的最佳拟合优度和复杂性。对表现最好的模型的预测表明,中非几乎所有地区,特别是加蓬、赤道几内亚和喀麦隆南部地区,都面临黑豆荚病的风险。在西非,从尼日利亚南部到冈比亚,沿大西洋海岸观察到适宜的环境。我们的分析表明,至少在气候和地理因素方面,大樱草有能力在其原生地之外生存。模型预测确定了可能的适宜地区,特别是在巴西和哥伦比亚,从墨西哥西南部到巴拿马,以及美洲的整个加勒比岛屿,以及亚洲的斯里兰卡、印度尼西亚、马来西亚和巴布亚新几内亚及其邻近地区。结论:本研究的结果将有助于制定旨在防止该病原体在热带地区传播的措施。
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来源期刊
European Journal of Ecology
European Journal of Ecology Environmental Science-Ecology
CiteScore
1.80
自引率
0.00%
发文量
6
审稿时长
11 weeks
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