Editorial: building and delivering real-world, integrated sustainability solutions: insights, methods and case-study applications

Newlands, Nathaniel K. and Porcelli, Tracy A. and Potgieter, Andries B. and Kouadio, Louis ORCID: https://orcid.org/0000-0001-9669-7807 and Huete, Alfredo and Guo, Wei (2019) Editorial: building and delivering real-world, integrated sustainability solutions: insights, methods and case-study applications. Frontiers in Environmental Science, 7:71. pp. 1-3.

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Abstract

This Research Topic aims to showcase research, development and technology (RDT) work toward devising and delivering integrated solutions that support and enhance the climate smart landscape (CSL)-based approach. This Research Topic comprises 13 articles, including 10 Original Research articles,1 Review, 1 Hypothesis and Theory article, and 1 Technology Report. State-of-the-art modeling approaches and sampling technologies are showcased. Contributed papers present new methodological/technological innovation, findings, and/or insights across four themes: (1) landscape productivity and crop suitability, (2) variable crop requirements for water and nutrients,(3) crop health status, phenology and phenotyping, (4)crop disease assessment and prediction under integrated pest management (IPM) and the CSL approach.

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Item Type:	Article (Commonwealth Reporting Category C)
Refereed:	Yes
Item Status:	Live Archive
Faculty/School / Institute/Centre:	Current - Institute for Life Sciences and the Environment - Centre for Applied Climate Sciences (1 Aug 2018 -)
Faculty/School / Institute/Centre:	Current - Institute for Life Sciences and the Environment - Centre for Applied Climate Sciences (1 Aug 2018 -)
Date Deposited:	08 Jul 2019 06:17
Last Modified:	08 Jun 2021 02:46
Uncontrolled Keywords:	adaptation, agriculture, big data, real-world, sustainability
Fields of Research (2008):	05 Environmental Sciences > 0502 Environmental Science and Management > 050299 Environmental Science and Management not elsewhere classified 07 Agricultural and Veterinary Sciences > 0701 Agriculture, Land and Farm Management > 070101 Agricultural Land Management
Identification Number or DOI:	https://doi.org/10.3389/fenvs.2019.00071
URI:	http://eprints.usq.edu.au/id/eprint/36687

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