Emerging opportunities and challenges in phenology : a review

dc.contributor.author Tang, Jianwu
dc.contributor.author Körner, Christian
dc.contributor.author muraoka, hiroyuki
dc.contributor.author Piao, Shilong
dc.contributor.author Shen, Miaogen
dc.contributor.author Thackeray, Stephen
dc.contributor.author Yang, Xi
dc.date.accessioned 2016-12-06T20:45:31Z
dc.date.available 2016-12-06T20:45:31Z
dc.date.issued 2016-08-18
dc.description © The Author(s), 2016. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Ecosphere 7 (2016): e01436, doi:10.1002/ecs2.1436. en_US
dc.description.abstract Plant phenology research has gained increasing attention because of the sensitivity of phenology to climate change and its consequences for ecosystem function. Recent technological development has made it possible to gather invaluable data at a variety of spatial and ecological scales. Despite our ability to observe phenological change at multiple scales, the mechanistic basis of phenology is still not well understood. Integration of multiple disciplines, including ecology, evolutionary biology, climate science, and remote sensing, with long-term monitoring data across multiple spatial scales is needed to advance understanding of phenology. We review the mechanisms and major drivers of plant phenology, including temperature, photoperiod, and winter chilling, as well as other factors such as competition, resource limitation, and genetics. Shifts in plant phenology have significant consequences on ecosystem productivity, carbon cycling, competition, food webs, and other ecosystem functions and services. We summarize recent advances in observation techniques across multiple spatial scales, including digital repeat photography, other complementary optical measurements, and solar-induced fluorescence, to assess our capability to address the importance of these scale-dependent drivers. Then, we review phenology models as an important component of earth system modeling. We find that the lack of species-level knowledge and observation data leads to difficulties in the development of vegetation phenology models at ecosystem or community scales. Finally, we recommend further research to advance understanding of the mechanisms governing phenology and the standardization of phenology observation methods across networks. With the opportunity for “big data” collection for plant phenology, we envision a breakthrough in process-based phenology modeling. en_US
dc.description.sponsorship U.S. National Science Foundation Grant Numbers: PLR-1417763, DBI-959333, AGS-1005663; University of Chicago and the MBL Lillie Research Innovation Award; NEXT Program; KAKENHI (MEXT, Japan); National Science Foundation of China Grant Number: 41571103; NERC Grant Number: NE/J02080X/1 en_US
dc.identifier.citation Ecosphere 7 (2016): e01436 en_US
dc.identifier.doi 10.1002/ecs2.1436
dc.identifier.uri https://hdl.handle.net/1912/8576
dc.language.iso en_US en_US
dc.publisher John Wiley & Sons en_US
dc.relation.uri https://doi.org/10.1002/ecs2.1436
dc.rights Attribution 3.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by/3.0/
dc.subject Cameras en_US
dc.subject Greenness en_US
dc.subject ILTER en_US
dc.subject Modeling en_US
dc.subject Phenology en_US
dc.subject Scale en_US
dc.subject International LTER en_US
dc.title Emerging opportunities and challenges in phenology : a review en_US
dc.type Article en_US
dspace.entity.type Publication
relation.isAuthorOfPublication 13dee098-d969-43b2-9e18-2dacac37ca4e
relation.isAuthorOfPublication f7caf02c-1074-400d-86e7-6d479fcc3248
relation.isAuthorOfPublication 01d2257a-d08b-4432-996e-e501ea689606
relation.isAuthorOfPublication edc1ed26-6b30-4722-8cdc-0beb1df9187a
relation.isAuthorOfPublication 53c8900f-66cf-458a-8437-93c1e6c9f149
relation.isAuthorOfPublication 79d3a884-0481-49a2-9bce-70f5dea6abe1
relation.isAuthorOfPublication cc6b0486-7202-4f3d-9170-6fb5cf36b39b
relation.isAuthorOfPublication.latestForDiscovery 13dee098-d969-43b2-9e18-2dacac37ca4e
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Tang_et_al-2016-Ecosphere.pdf
Size:
1.55 MB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.89 KB
Format:
Item-specific license agreed upon to submission
Description: