Application of High Resolution Satellite Imagery to Characterize Individual-Based Environmental Heterogeneity in a Wild Blue Tit Population

Remote Sensing

Marta Szulkin²  Przemyslaw Zelazowski¹  Pascal Marrot²  Anne Charmantier²  Olivier Hagolle³  Benjamin Koetz³  Olivier Arino³  Sylvia Sylvander³  Clement Atzberger³ 

[1] Centre of New Technologies, University of Warsaw, 2c Banacha St., 02-097 Warsaw, Poland; E-Mail:;Centre d’Ecologie Fonctionnelle et Evolutive, Centre National de la Recherche Scientifique (CNRS) UMR 5175. 1919 Route de Mende, 34293 Montpellier cedex 5, France; E-Mails:Centre d’Ecologie Fonctionnelle et Evolutive, Centre National de la Recherche Scientifique (CNRS) UMR 5175. 1919 Route de Mende, 34293 Montpellier cedex 5, France;

关键词: SPOT;    Sentinel-2;    Quercus pubescens;    Quercus ilex;    oaks;    blue tit;    Cyanistes caeruleus;    environmental heterogeneity;    animal ecology;    remote sensing;   

DOI  :  10.3390/rs71013319

来源: mdpi

【 摘 要 】

Environmental heterogeneity in space and time plays a key role in influencing trait variability in animals, and can be particularly relevant to animal phenology. Until recently, the use of remotely sensed imagery in understanding animal variation was limited to analyses at the population level, largely because of a lack of high-resolution data that would allow inference at the individual level. We evaluated the potential of SPOT 4 (Take 5) satellite imagery data (with observations every fifth day at 20 m resolution and equivalent to acquisition parameters of Sentinel-2) in animal ecology research. We focused on blue tit Cyanistes caeruleus reproduction in a study site containing 227 nestboxes scattered in a Mediterranean forest dominated by deciduous downy oaks Quercus pubescens with a secondary cover of evergreen holm oaks Quercus ilex. We observed high congruence between ground data collected in a 50 m radius around each nestbox and NDVI values averaged across a 5 by 5 pixel grid centered around each nestbox of the study site. The number of deciduous and evergreen oaks around nestboxes explained up to 66% of variance in nestbox-centered, SPOT-derived NDVI values. We also found highly equivalent patterns of spatial autocorrelation for both ground- and satellite-derived indexes of environmental heterogeneity. For deciduous and evergreen oaks, the derived NDVI signal was highly distinctive in winter and early spring. June NDVI values for deciduous and evergreen oaks were higher by 58% and 8% relative to February values, respectively. The number of evergreen oaks was positively associated with later timing of breeding in blue tits. SPOT-derived, Sentinel-2 like imagery thus provided highly reliable, ground-validated information on habitat heterogeneity of direct relevance to a long-term field study of a free-living passerine bird. Given that the logistical demands of gathering ground data often limit our understanding of variation in animal reproductive traits across time and space, there appears to be great promise in applying fine-resolution satellite data in evolutionary ecology research.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.