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			''This page is about the intersection of ecosystems and machine learning in the context of climate change adaptation. For an overview of biodiversity monitoring as a whole, please see the [https://en.wikipedia.org/wiki/Biodiversity Wikipedia page] on this topic.''

	Changes in climate are increasingly affecting the distribution and composition of ecosystems. This has profound implications for global biodiversity, as well as agriculture, disease, and natural resources such as wood and fish. Machine learning can help by supporting efforts to monitor ecosystems and biodiversity.		Changes in climate are increasingly affecting the distribution and composition of ecosystems. This has profound implications for global biodiversity, as well as agriculture, disease, and natural resources such as wood and fish. Machine learning can help by supporting efforts to monitor ecosystems and biodiversity.