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Developing accurate prediction systems for the terrestrial environment
In recent decades, meteorologists have made remarkable progress in predicting the weather, thereby saving lives and considerable sums of money. However, we are way behind when it comes to predicting the effects of environmental change on ecosystems, even when we are ourselves the agent of such chang...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2018
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5907385/ https://www.ncbi.nlm.nih.gov/pubmed/29669552 http://dx.doi.org/10.1186/s12915-018-0515-6 |
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author | Lindenmayer, David B. |
author_facet | Lindenmayer, David B. |
author_sort | Lindenmayer, David B. |
collection | PubMed |
description | In recent decades, meteorologists have made remarkable progress in predicting the weather, thereby saving lives and considerable sums of money. However, we are way behind when it comes to predicting the effects of environmental change on ecosystems, even when we are ourselves the agent of such change. Given the substantial environmental problems facing our living planet, and the need to tackle these in an ecologically responsible and cost-effective way, we should aspire to develop terrestrial environmental prediction systems that reach the levels of accuracy and precision which characterize weather prediction systems. I argue here that well designed, long-term monitoring programs will be key to developing robust environmental prediction systems. |
format | Online Article Text |
id | pubmed-5907385 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-59073852018-04-30 Developing accurate prediction systems for the terrestrial environment Lindenmayer, David B. BMC Biol Comment In recent decades, meteorologists have made remarkable progress in predicting the weather, thereby saving lives and considerable sums of money. However, we are way behind when it comes to predicting the effects of environmental change on ecosystems, even when we are ourselves the agent of such change. Given the substantial environmental problems facing our living planet, and the need to tackle these in an ecologically responsible and cost-effective way, we should aspire to develop terrestrial environmental prediction systems that reach the levels of accuracy and precision which characterize weather prediction systems. I argue here that well designed, long-term monitoring programs will be key to developing robust environmental prediction systems. BioMed Central 2018-04-18 /pmc/articles/PMC5907385/ /pubmed/29669552 http://dx.doi.org/10.1186/s12915-018-0515-6 Text en © Lindenmayer et al. 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Comment Lindenmayer, David B. Developing accurate prediction systems for the terrestrial environment |
title | Developing accurate prediction systems for the terrestrial environment |
title_full | Developing accurate prediction systems for the terrestrial environment |
title_fullStr | Developing accurate prediction systems for the terrestrial environment |
title_full_unstemmed | Developing accurate prediction systems for the terrestrial environment |
title_short | Developing accurate prediction systems for the terrestrial environment |
title_sort | developing accurate prediction systems for the terrestrial environment |
topic | Comment |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5907385/ https://www.ncbi.nlm.nih.gov/pubmed/29669552 http://dx.doi.org/10.1186/s12915-018-0515-6 |
work_keys_str_mv | AT lindenmayerdavidb developingaccuratepredictionsystemsfortheterrestrialenvironment |