Developing accurate prediction systems for the terrestrial environment

dc.contributor.authorLindenmayer, David B
dc.date.accessioned2021-10-26T03:38:06Z
dc.date.available2021-10-26T03:38:06Z
dc.date.issued2018-04-18
dc.date.updated2020-11-23T11:38:14Z
dc.description.abstractIn 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.en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn1741-7007en_AU
dc.identifier.urihttp://hdl.handle.net/1885/251183
dc.language.isoen_AUen_AU
dc.provenanceThis 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.en_AU
dc.publisherBioMed Centralen_AU
dc.rights© Lindenmayer et al. 2018en_AU
dc.rights.licenseCreative Commons License (Attribution 4.0 International)en_AU
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_AU
dc.sourceBMC Biologyen_AU
dc.titleDeveloping accurate prediction systems for the terrestrial environmenten_AU
dc.typeJournal articleen_AU
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.issue42en_AU
local.bibliographicCitation.lastpage3en_AU
local.bibliographicCitation.startpage1en_AU
local.contributor.affiliationLindenmayer, David, College of Science, ANUen_AU
local.contributor.authoruidLindenmayer, David, u8808483en_AU
local.description.notesImported from ARIESen_AU
local.identifier.absfor060208 - Terrestrial Ecologyen_AU
local.identifier.ariespublicationa383154xPUB9756en_AU
local.identifier.citationvolume16en_AU
local.identifier.doi10.1186/s12915-018-0515-6en_AU
local.identifier.scopusID2-s2.0-85045581061
local.publisher.urlhttp://www.biomedcentral.com/en_AU
local.type.statusPublished Versionen_AU

Downloads

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
01_Lindenmayer_Developing_accurate_prediction_2018.pdf
Size:
611.07 KB
Format:
Adobe Portable Document Format