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开发用于陆地环境的精确预测系统。

Developing accurate prediction systems for the terrestrial environment.

机构信息

Fenner School of Environment and Society, The Australian National University, Canberra, ACT 2601, Australia.

出版信息

BMC Biol. 2018 Apr 18;16(1):42. doi: 10.1186/s12915-018-0515-6.

DOI:10.1186/s12915-018-0515-6
PMID:29669552
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5907385/
Abstract

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.

摘要

近几十年来,气象学家在天气预报方面取得了显著的进步,从而拯救了生命并节省了大量资金。然而,在预测环境变化对生态系统的影响方面,我们还远远落后,即使我们本身就是这种变化的推动者。考虑到我们生活的星球所面临的重大环境问题,以及以生态负责和具有成本效益的方式解决这些问题的必要性,我们应该努力开发达到天气预报系统的准确性和精度水平的陆地环境预测系统。我在这里认为,精心设计的长期监测计划将是开发强大的环境预测系统的关键。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f67/5907385/3cd95e71986e/12915_2018_515_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f67/5907385/a4acd8b13256/12915_2018_515_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f67/5907385/3cd95e71986e/12915_2018_515_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f67/5907385/a4acd8b13256/12915_2018_515_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f67/5907385/3cd95e71986e/12915_2018_515_Fig2_HTML.jpg

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本文引用的文献

1
Writing the Wrongs: Developing a Safe-Fail Culture in Conservation.纠正错误:在保护领域培育安全失败文化
Conserv Biol. 2000 Dec 18;14(6):1567-1568. doi: 10.1111/j.1523-1739.2000.01461.x.
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Ecosystem accounts define explicit and spatial trade-offs for managing natural resources.生态系统账户明确并在空间上权衡了自然资源管理的取舍。
Nat Ecol Evol. 2017 Nov;1(11):1683-1692. doi: 10.1038/s41559-017-0309-1. Epub 2017 Sep 18.
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A global meta-analysis on the ecological drivers of forest restoration success.全球范围内关于森林恢复成功的生态驱动因素的荟萃分析。
Nat Commun. 2016 May 19;7:11666. doi: 10.1038/ncomms11666.
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Improved probability of detection of ecological "surprises".提高生态“惊喜”的探测概率。
Proc Natl Acad Sci U S A. 2010 Dec 21;107(51):21957-62. doi: 10.1073/pnas.1015696107. Epub 2010 Nov 23.