Predicting bird phenology from space: satellite-derived vegetation green-up signal uncovers spatial variation in phenological synchrony between birds and their environmentReport as inadecuate




Predicting bird phenology from space: satellite-derived vegetation green-up signal uncovers spatial variation in phenological synchrony between birds and their environment - Download this document for free, or read online. Document in PDF available to download.

Reference: Cole, EF, Long, PR, Zelazowski, P et al., (2015). Predicting bird phenology from space: satellite-derived vegetation green-up signal uncovers spatial variation in phenological synchrony between birds and their environment. Ecology and Evolution, 5 (21), 5057-5074.Citable link to this page:

 

Predicting bird phenology from space: satellite-derived vegetation green-up signal uncovers spatial variation in phenological synchrony between birds and their environment

Abstract: Population-level studies of how tit species (Parus spp.) track the changing phenology of their caterpillar food source have provided a model system allowing inference into how populations can adjust to changing climates, but are often limited because they implicitly assume all individuals experience similar environments. Ecologists are increasingly using satellite-derived data to quantify aspects of animals' environments, but so far studies examining phenology have generally done so at large spatial scales. Considering the scale at which individuals experience their environment is likely to be key if we are to understand the ecological and evolutionary processes acting on reproductive phenology within populations. Here, we use time series of satellite images, with a resolution of 240 m, to quantify spatial variation in vegetation green-up for a 385-ha mixed-deciduous woodland. Using data spanning 13 years, we demonstrate that annual population-level measures of the timing of peak abundance of winter moth larvae (Operophtera brumata) and the timing of egg laying in great tits (Parus major) and blue tits (Cyanistes caeruleus) is related to satellite-derived spring vegetation phenology. We go on to show that timing of local vegetation green-up significantly explained individual differences in tit reproductive phenology within the population, and that the degree of synchrony between bird and vegetation phenology showed marked spatial variation across the woodland. Areas of high oak tree (Quercus robur) and hazel (Corylus avellana) density showed the strongest match between remote-sensed vegetation phenology and reproductive phenology in both species. Marked within-population variation in the extent to which phenology of different trophic levels match suggests that more attention should be given to small-scale processes when exploring the causes and consequences of phenological matching. We discuss how use of remotely sensed data to study within-population variation could broaden the scale and scope of studies exploring phenological synchrony between organisms and their environment.

Peer Review status:Peer reviewedPublication status:PublishedVersion:Publisher's version Funder: Natural Environment Research Council   Notes:Copyright © 2015 The Authors. Ecology and Evolution published by John Wiley and Sons Ltd.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Bibliographic Details

Publisher: John Wiley and Sons Ltd

Publisher Website: http://onlinelibrary.wiley.com/

Journal: Ecology and Evolutionsee more from them

Publication Website: http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2045-7758

Issue Date: 2015-11

pages:5057-5074Identifiers

Urn: uuid:fa6dec04-5dcc-4dcb-acf4-e3257cc8f1f7

Source identifier: 579461

Doi: https://doi.org/10.1002/ece3.1745

Issn: 2045-7758 Item Description

Type: Journal article;

Version: Publisher's versionKeywords: Blue tit environmental heterogeneity EVI great tit mismatch MODIS reproductive phenology satellite derived spatial scale wild population Tiny URL: pubs:579461

Relationships





Author: Cole, EF - institutionUniversity of Oxford Oxford, MPLS, Zoology - - - Long, PR - institutionUniversity of Oxford Oxford, MPLS, Z

Source: https://ora.ox.ac.uk/objects/uuid:fa6dec04-5dcc-4dcb-acf4-e3257cc8f1f7



DOWNLOAD PDF




Related documents