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Toward an integrated approach to crop production and pollination ecology through the application of remote sensing
Insect pollinators provide an essential ecosystem service by transferring pollen to crops and native vegetation. The extent to which pollinator communities vary both spatially and temporally has important implications for ecology, conservation and agricultural production. However, understanding the...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6197041/ https://www.ncbi.nlm.nih.gov/pubmed/30364410 http://dx.doi.org/10.7717/peerj.5806 |
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author | Willcox, Bryony K. Robson, Andrew J. Howlett, Brad G. Rader, Romina |
author_facet | Willcox, Bryony K. Robson, Andrew J. Howlett, Brad G. Rader, Romina |
author_sort | Willcox, Bryony K. |
collection | PubMed |
description | Insect pollinators provide an essential ecosystem service by transferring pollen to crops and native vegetation. The extent to which pollinator communities vary both spatially and temporally has important implications for ecology, conservation and agricultural production. However, understanding the complex interactions that determine pollination service provisioning and production measures over space and time has remained a major challenge. Remote sensing technologies (RST), including satellite, airborne and ground based sensors, are effective tools for measuring the spatial and temporal variability of vegetation health, diversity and productivity within natural and modified systems. Yet while there are synergies between remote sensing science, pollination ecology and agricultural production, research communities have only recently begun to actively connect these research areas. Here, we review the utility of RST in advancing crop pollination research and highlight knowledge gaps and future research priorities. We found that RST are currently used across many different research fields to assess changes in plant health and production (agricultural production) and to monitor and evaluate changes in biodiversity across multiple landscape types (ecology and conservation). In crop pollination research, the use of RST are limited and largely restricted to quantifying remnant habitat use by pollinators by ascertaining the proportion of, and/or isolation from, a given land use type or local variable. Synchronization between research fields is essential to better understand the spatial and temporal variability in pollinator dependent crop production. RST enable these applications to be scaled across much larger areas than is possible with field-based methods and will facilitate large scale ecological changes to be detected and monitored. We advocate greater use of RST to better understand interactions between pollination, plant health and yield spatial variation in pollinator dependent crops. This more holistic approach is necessary for decision-makers to improve strategies toward managing multiple land use types and ecosystem services. |
format | Online Article Text |
id | pubmed-6197041 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-61970412018-10-24 Toward an integrated approach to crop production and pollination ecology through the application of remote sensing Willcox, Bryony K. Robson, Andrew J. Howlett, Brad G. Rader, Romina PeerJ Agricultural Science Insect pollinators provide an essential ecosystem service by transferring pollen to crops and native vegetation. The extent to which pollinator communities vary both spatially and temporally has important implications for ecology, conservation and agricultural production. However, understanding the complex interactions that determine pollination service provisioning and production measures over space and time has remained a major challenge. Remote sensing technologies (RST), including satellite, airborne and ground based sensors, are effective tools for measuring the spatial and temporal variability of vegetation health, diversity and productivity within natural and modified systems. Yet while there are synergies between remote sensing science, pollination ecology and agricultural production, research communities have only recently begun to actively connect these research areas. Here, we review the utility of RST in advancing crop pollination research and highlight knowledge gaps and future research priorities. We found that RST are currently used across many different research fields to assess changes in plant health and production (agricultural production) and to monitor and evaluate changes in biodiversity across multiple landscape types (ecology and conservation). In crop pollination research, the use of RST are limited and largely restricted to quantifying remnant habitat use by pollinators by ascertaining the proportion of, and/or isolation from, a given land use type or local variable. Synchronization between research fields is essential to better understand the spatial and temporal variability in pollinator dependent crop production. RST enable these applications to be scaled across much larger areas than is possible with field-based methods and will facilitate large scale ecological changes to be detected and monitored. We advocate greater use of RST to better understand interactions between pollination, plant health and yield spatial variation in pollinator dependent crops. This more holistic approach is necessary for decision-makers to improve strategies toward managing multiple land use types and ecosystem services. PeerJ Inc. 2018-10-19 /pmc/articles/PMC6197041/ /pubmed/30364410 http://dx.doi.org/10.7717/peerj.5806 Text en © 2018 Willcox et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Agricultural Science Willcox, Bryony K. Robson, Andrew J. Howlett, Brad G. Rader, Romina Toward an integrated approach to crop production and pollination ecology through the application of remote sensing |
title | Toward an integrated approach to crop production and pollination ecology through the application of remote sensing |
title_full | Toward an integrated approach to crop production and pollination ecology through the application of remote sensing |
title_fullStr | Toward an integrated approach to crop production and pollination ecology through the application of remote sensing |
title_full_unstemmed | Toward an integrated approach to crop production and pollination ecology through the application of remote sensing |
title_short | Toward an integrated approach to crop production and pollination ecology through the application of remote sensing |
title_sort | toward an integrated approach to crop production and pollination ecology through the application of remote sensing |
topic | Agricultural Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6197041/ https://www.ncbi.nlm.nih.gov/pubmed/30364410 http://dx.doi.org/10.7717/peerj.5806 |
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