Remote sensing in seagrass ecology: coupled dynamics between migratory herbivorous birds and intertidal meadows observed by satellite during four decades
Abstract Taking into account trophic relationships in seagrass meadows is crucial to explain and predict seagrass temporal trajectories, as well as for implementing and evaluating seagrass conservation policies. However, this type of interaction has been rarely investigated over the long term and at...
Published in: | Remote Sensing in Ecology and Conservation |
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ftdoajarticles:oai:doaj.org/article:954cd33cc09d47d5b2255d3d7151e427 2023-07-16T03:57:49+02:00 Remote sensing in seagrass ecology: coupled dynamics between migratory herbivorous birds and intertidal meadows observed by satellite during four decades Maria Laura Zoffoli Pierre Gernez Simon Oiry Laurent Godet Sébastien Dalloyau Bede Ffinian Rowe Davies Laurent Barillé 2023-06-01T00:00:00Z https://doi.org/10.1002/rse2.319 https://doaj.org/article/954cd33cc09d47d5b2255d3d7151e427 EN eng Wiley https://doi.org/10.1002/rse2.319 https://doaj.org/toc/2056-3485 2056-3485 doi:10.1002/rse2.319 https://doaj.org/article/954cd33cc09d47d5b2255d3d7151e427 Remote Sensing in Ecology and Conservation, Vol 9, Iss 3, Pp 420-433 (2023) Branta bernicla bernicla trophic relationships Earth observation essential biodiversity variables time‐series Zostera noltei Technology T Ecology QH540-549.5 article 2023 ftdoajarticles https://doi.org/10.1002/rse2.319 2023-06-25T00:34:33Z Abstract Taking into account trophic relationships in seagrass meadows is crucial to explain and predict seagrass temporal trajectories, as well as for implementing and evaluating seagrass conservation policies. However, this type of interaction has been rarely investigated over the long term and at the scale of the whole seagrass habitat. In this work, reciprocal links between an intertidal seagrass species, Zostera noltei, and a herbivorous bird feeding on this seagrass species, the migratory goose Branta bernicla bernicla, were investigated using an original combination of long‐term Earth Observation (EO) and bird census data. Seagrass Essential Biodiversity Variables (EBVs) such as seagrass abundance and phenology were measured from 1985 to 2020 using high‐resolution satellite remote sensing over Bourgneuf Bay (France), and cross‐analysed with in situ measurements of bird population size during the goose wintering season. Our results showed a mutual relationship between seagrass and Brent geese over the four last decades, suggesting that the relationship between the two species extends beyond a simple grass—herbivore consumptive effect. We provided evidence of two types of interactions: (i) a bottom‐up control where the late‐summer seagrass abundance drives the wintering population of herbivorous geese and (ii) an indirect top‐down effect of Brent goose on seagrass habitat, where seagrass development is positively influenced by the bird population during the previous wintering season. Such a mutualistic relationship has strong implications for biodiversity conservation because protecting one species is beneficial to the other one, as demonstrated here by the positive trajectories observed from 1985 to 2020 in both seagrass and bird populations. Importantly, we also demonstrated here that exploring the synergy between EO and in situ bird data can benefit seagrass ecology and ecosystem management. Article in Journal/Newspaper Branta bernicla brent geese Brent goose Directory of Open Access Journals: DOAJ Articles Remote Sensing in Ecology and Conservation 9 3 420 433 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Branta bernicla bernicla trophic relationships Earth observation essential biodiversity variables time‐series Zostera noltei Technology T Ecology QH540-549.5 |
spellingShingle |
Branta bernicla bernicla trophic relationships Earth observation essential biodiversity variables time‐series Zostera noltei Technology T Ecology QH540-549.5 Maria Laura Zoffoli Pierre Gernez Simon Oiry Laurent Godet Sébastien Dalloyau Bede Ffinian Rowe Davies Laurent Barillé Remote sensing in seagrass ecology: coupled dynamics between migratory herbivorous birds and intertidal meadows observed by satellite during four decades |
topic_facet |
Branta bernicla bernicla trophic relationships Earth observation essential biodiversity variables time‐series Zostera noltei Technology T Ecology QH540-549.5 |
description |
Abstract Taking into account trophic relationships in seagrass meadows is crucial to explain and predict seagrass temporal trajectories, as well as for implementing and evaluating seagrass conservation policies. However, this type of interaction has been rarely investigated over the long term and at the scale of the whole seagrass habitat. In this work, reciprocal links between an intertidal seagrass species, Zostera noltei, and a herbivorous bird feeding on this seagrass species, the migratory goose Branta bernicla bernicla, were investigated using an original combination of long‐term Earth Observation (EO) and bird census data. Seagrass Essential Biodiversity Variables (EBVs) such as seagrass abundance and phenology were measured from 1985 to 2020 using high‐resolution satellite remote sensing over Bourgneuf Bay (France), and cross‐analysed with in situ measurements of bird population size during the goose wintering season. Our results showed a mutual relationship between seagrass and Brent geese over the four last decades, suggesting that the relationship between the two species extends beyond a simple grass—herbivore consumptive effect. We provided evidence of two types of interactions: (i) a bottom‐up control where the late‐summer seagrass abundance drives the wintering population of herbivorous geese and (ii) an indirect top‐down effect of Brent goose on seagrass habitat, where seagrass development is positively influenced by the bird population during the previous wintering season. Such a mutualistic relationship has strong implications for biodiversity conservation because protecting one species is beneficial to the other one, as demonstrated here by the positive trajectories observed from 1985 to 2020 in both seagrass and bird populations. Importantly, we also demonstrated here that exploring the synergy between EO and in situ bird data can benefit seagrass ecology and ecosystem management. |
format |
Article in Journal/Newspaper |
author |
Maria Laura Zoffoli Pierre Gernez Simon Oiry Laurent Godet Sébastien Dalloyau Bede Ffinian Rowe Davies Laurent Barillé |
author_facet |
Maria Laura Zoffoli Pierre Gernez Simon Oiry Laurent Godet Sébastien Dalloyau Bede Ffinian Rowe Davies Laurent Barillé |
author_sort |
Maria Laura Zoffoli |
title |
Remote sensing in seagrass ecology: coupled dynamics between migratory herbivorous birds and intertidal meadows observed by satellite during four decades |
title_short |
Remote sensing in seagrass ecology: coupled dynamics between migratory herbivorous birds and intertidal meadows observed by satellite during four decades |
title_full |
Remote sensing in seagrass ecology: coupled dynamics between migratory herbivorous birds and intertidal meadows observed by satellite during four decades |
title_fullStr |
Remote sensing in seagrass ecology: coupled dynamics between migratory herbivorous birds and intertidal meadows observed by satellite during four decades |
title_full_unstemmed |
Remote sensing in seagrass ecology: coupled dynamics between migratory herbivorous birds and intertidal meadows observed by satellite during four decades |
title_sort |
remote sensing in seagrass ecology: coupled dynamics between migratory herbivorous birds and intertidal meadows observed by satellite during four decades |
publisher |
Wiley |
publishDate |
2023 |
url |
https://doi.org/10.1002/rse2.319 https://doaj.org/article/954cd33cc09d47d5b2255d3d7151e427 |
genre |
Branta bernicla brent geese Brent goose |
genre_facet |
Branta bernicla brent geese Brent goose |
op_source |
Remote Sensing in Ecology and Conservation, Vol 9, Iss 3, Pp 420-433 (2023) |
op_relation |
https://doi.org/10.1002/rse2.319 https://doaj.org/toc/2056-3485 2056-3485 doi:10.1002/rse2.319 https://doaj.org/article/954cd33cc09d47d5b2255d3d7151e427 |
op_doi |
https://doi.org/10.1002/rse2.319 |
container_title |
Remote Sensing in Ecology and Conservation |
container_volume |
9 |
container_issue |
3 |
container_start_page |
420 |
op_container_end_page |
433 |
_version_ |
1771544632178507776 |