Artificial intelligence reveals environmental constraints on colour diversity in insects

Deep learning has the potential to identify ecological relationships between environment and complex phenotypes that are difficult to quantify. Here, the authors use deep learning to analyse associations among elevation, climate and phenotype across ~2000 moth species in Taiwan.

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Autores principales:	Shipher Wu, Chun-Min Chang, Guan-Shuo Mai, Dustin R. Rubenstein, Chen-Ming Yang, Yu-Ting Huang, Hsu-Hong Lin, Li-Cheng Shih, Sheng-Wei Chen, Sheng-Feng Shen
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/dc466aa936c54bc19c7b8be7368e654b
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spelling	oai:doaj.org-article:dc466aa936c54bc19c7b8be7368e654b2021-12-02T16:57:19ZArtificial intelligence reveals environmental constraints on colour diversity in insects10.1038/s41467-019-12500-22041-1723https://doaj.org/article/dc466aa936c54bc19c7b8be7368e654b2019-10-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-12500-2https://doaj.org/toc/2041-1723Deep learning has the potential to identify ecological relationships between environment and complex phenotypes that are difficult to quantify. Here, the authors use deep learning to analyse associations among elevation, climate and phenotype across ~2000 moth species in Taiwan.Shipher WuChun-Min ChangGuan-Shuo MaiDustin R. RubensteinChen-Ming YangYu-Ting HuangHsu-Hong LinLi-Cheng ShihSheng-Wei ChenSheng-Feng ShenNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-9 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Shipher Wu Chun-Min Chang Guan-Shuo Mai Dustin R. Rubenstein Chen-Ming Yang Yu-Ting Huang Hsu-Hong Lin Li-Cheng Shih Sheng-Wei Chen Sheng-Feng Shen Artificial intelligence reveals environmental constraints on colour diversity in insects
description	Deep learning has the potential to identify ecological relationships between environment and complex phenotypes that are difficult to quantify. Here, the authors use deep learning to analyse associations among elevation, climate and phenotype across ~2000 moth species in Taiwan.
format	article
author	Shipher Wu Chun-Min Chang Guan-Shuo Mai Dustin R. Rubenstein Chen-Ming Yang Yu-Ting Huang Hsu-Hong Lin Li-Cheng Shih Sheng-Wei Chen Sheng-Feng Shen
author_facet	Shipher Wu Chun-Min Chang Guan-Shuo Mai Dustin R. Rubenstein Chen-Ming Yang Yu-Ting Huang Hsu-Hong Lin Li-Cheng Shih Sheng-Wei Chen Sheng-Feng Shen
author_sort	Shipher Wu
title	Artificial intelligence reveals environmental constraints on colour diversity in insects
title_short	Artificial intelligence reveals environmental constraints on colour diversity in insects
title_full	Artificial intelligence reveals environmental constraints on colour diversity in insects
title_fullStr	Artificial intelligence reveals environmental constraints on colour diversity in insects
title_full_unstemmed	Artificial intelligence reveals environmental constraints on colour diversity in insects
title_sort	artificial intelligence reveals environmental constraints on colour diversity in insects
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/dc466aa936c54bc19c7b8be7368e654b
work_keys_str_mv	AT shipherwu artificialintelligencerevealsenvironmentalconstraintsoncolourdiversityininsects AT chunminchang artificialintelligencerevealsenvironmentalconstraintsoncolourdiversityininsects AT guanshuomai artificialintelligencerevealsenvironmentalconstraintsoncolourdiversityininsects AT dustinrrubenstein artificialintelligencerevealsenvironmentalconstraintsoncolourdiversityininsects AT chenmingyang artificialintelligencerevealsenvironmentalconstraintsoncolourdiversityininsects AT yutinghuang artificialintelligencerevealsenvironmentalconstraintsoncolourdiversityininsects AT hsuhonglin artificialintelligencerevealsenvironmentalconstraintsoncolourdiversityininsects AT lichengshih artificialintelligencerevealsenvironmentalconstraintsoncolourdiversityininsects AT shengweichen artificialintelligencerevealsenvironmentalconstraintsoncolourdiversityininsects AT shengfengshen artificialintelligencerevealsenvironmentalconstraintsoncolourdiversityininsects
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Artificial intelligence reveals environmental constraints on colour diversity in insects

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