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Prediction of Suitable Habitat Distribution of Cryptosphaeria pullmanensis in the World and China under Climate Change

Years of outbreaks of woody canker (Cryptosphaeria pullmanensis) in the United States, Iran, and China have resulted in massive economic losses to biological forests and fruit trees. However, only limited information is available on their distribution, and their habitat requirements have not been we...

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Autores principales: Yan, Chengcai, Hao, Haiting, Wang, Zhe, Sha, Shuaishuai, Zhang, Yiwen, Wang, Qingpeng, Kang, Zhensheng, Huang, Lili, Wang, Lan, Feng, Hongzu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10381404/
https://www.ncbi.nlm.nih.gov/pubmed/37504728
http://dx.doi.org/10.3390/jof9070739
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author Yan, Chengcai
Hao, Haiting
Wang, Zhe
Sha, Shuaishuai
Zhang, Yiwen
Wang, Qingpeng
Kang, Zhensheng
Huang, Lili
Wang, Lan
Feng, Hongzu
author_facet Yan, Chengcai
Hao, Haiting
Wang, Zhe
Sha, Shuaishuai
Zhang, Yiwen
Wang, Qingpeng
Kang, Zhensheng
Huang, Lili
Wang, Lan
Feng, Hongzu
author_sort Yan, Chengcai
collection PubMed
description Years of outbreaks of woody canker (Cryptosphaeria pullmanensis) in the United States, Iran, and China have resulted in massive economic losses to biological forests and fruit trees. However, only limited information is available on their distribution, and their habitat requirements have not been well evaluated due to a lack of research. In recent years, scientists have utilized the MaxEnt model to estimate the effect of global temperature and specific environmental conditions on species distribution. Using occurrence and high resolution ecological data, we predicted the spatiotemporal distribution of C. pullmanensis under twelve climate change scenarios by applying the MaxEnt model. We identified climatic factors, geography, soil, and land cover that shape their distribution range and determined shifts in their habitat range. Then, we measured the suitable habitat area, the ratio of change in the area of suitable habitat, the expansion and shrinkage of maps under climate change, the direction and distance of range changes from the present to the end of the twenty-first century, and the effect of environmental variables. C. pullmanensis is mostly widespread in high-suitability regions in northwestern China, the majority of Iran, Afghanistan, and Turkey, northern Chile, southwestern Argentina, and the west coast of California in the United States. Under future climatic conditions, climate changes of varied intensities favored the expansion of suitable habitats for C. pullmanensis in China. However, appropriate land areas are diminishing globally. The trend in migration is toward latitudes and elevations that are higher. The estimated area of possible suitability shifted eastward in China. The results of the present study are valuable not only for countries such as Morocco, Spain, Chile, Turkey, Kazakhstan, etc., where the infection has not yet fully spread or been established, but also for nations where the species has been discovered. Authorities should take steps to reduce greenhouse gas emissions in order to restrict the spread of C. pullmanensis. Countries with highly appropriate locations should increase their surveillance, risk assessment, and response capabilities.
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spelling pubmed-103814042023-07-29 Prediction of Suitable Habitat Distribution of Cryptosphaeria pullmanensis in the World and China under Climate Change Yan, Chengcai Hao, Haiting Wang, Zhe Sha, Shuaishuai Zhang, Yiwen Wang, Qingpeng Kang, Zhensheng Huang, Lili Wang, Lan Feng, Hongzu J Fungi (Basel) Article Years of outbreaks of woody canker (Cryptosphaeria pullmanensis) in the United States, Iran, and China have resulted in massive economic losses to biological forests and fruit trees. However, only limited information is available on their distribution, and their habitat requirements have not been well evaluated due to a lack of research. In recent years, scientists have utilized the MaxEnt model to estimate the effect of global temperature and specific environmental conditions on species distribution. Using occurrence and high resolution ecological data, we predicted the spatiotemporal distribution of C. pullmanensis under twelve climate change scenarios by applying the MaxEnt model. We identified climatic factors, geography, soil, and land cover that shape their distribution range and determined shifts in their habitat range. Then, we measured the suitable habitat area, the ratio of change in the area of suitable habitat, the expansion and shrinkage of maps under climate change, the direction and distance of range changes from the present to the end of the twenty-first century, and the effect of environmental variables. C. pullmanensis is mostly widespread in high-suitability regions in northwestern China, the majority of Iran, Afghanistan, and Turkey, northern Chile, southwestern Argentina, and the west coast of California in the United States. Under future climatic conditions, climate changes of varied intensities favored the expansion of suitable habitats for C. pullmanensis in China. However, appropriate land areas are diminishing globally. The trend in migration is toward latitudes and elevations that are higher. The estimated area of possible suitability shifted eastward in China. The results of the present study are valuable not only for countries such as Morocco, Spain, Chile, Turkey, Kazakhstan, etc., where the infection has not yet fully spread or been established, but also for nations where the species has been discovered. Authorities should take steps to reduce greenhouse gas emissions in order to restrict the spread of C. pullmanensis. Countries with highly appropriate locations should increase their surveillance, risk assessment, and response capabilities. MDPI 2023-07-11 /pmc/articles/PMC10381404/ /pubmed/37504728 http://dx.doi.org/10.3390/jof9070739 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yan, Chengcai
Hao, Haiting
Wang, Zhe
Sha, Shuaishuai
Zhang, Yiwen
Wang, Qingpeng
Kang, Zhensheng
Huang, Lili
Wang, Lan
Feng, Hongzu
Prediction of Suitable Habitat Distribution of Cryptosphaeria pullmanensis in the World and China under Climate Change
title Prediction of Suitable Habitat Distribution of Cryptosphaeria pullmanensis in the World and China under Climate Change
title_full Prediction of Suitable Habitat Distribution of Cryptosphaeria pullmanensis in the World and China under Climate Change
title_fullStr Prediction of Suitable Habitat Distribution of Cryptosphaeria pullmanensis in the World and China under Climate Change
title_full_unstemmed Prediction of Suitable Habitat Distribution of Cryptosphaeria pullmanensis in the World and China under Climate Change
title_short Prediction of Suitable Habitat Distribution of Cryptosphaeria pullmanensis in the World and China under Climate Change
title_sort prediction of suitable habitat distribution of cryptosphaeria pullmanensis in the world and china under climate change
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10381404/
https://www.ncbi.nlm.nih.gov/pubmed/37504728
http://dx.doi.org/10.3390/jof9070739
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