2020
DOI: 10.22541/au.160674308.88970816/v1
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Seasonal Spatial Dynamics of Butterfly Migration

Abstract: Understanding the seasonal movements of migratory species underpins ecological studies. Nearly 600 butterfly species show migratory behaviour, yet the spatial pattern of these migrations is poorly understood. We developed climatic niche models for 405 migratory butterfly species globally to estimate patterns of seasonal movement and the distribution of seasonal habitat suitability. We discover strong seasonal variation in habitat suitability for most of the migratory butterflies with >75% of pixels showing … Show more

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Cited by 6 publications
(16 citation statements)
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“…Future studies should obtain regional records, document movement patterns, and conduct experimental work on migration in butterflies to reveal hotspots and their vulnerability to extinction, thus providing invaluable data for butterfly conservation. A fruitful avenue would be to focus on mapping the distributions of migratory butterflies at different times of year (Chowdhury et al ., 2020).…”
Section: Discussionmentioning
confidence: 99%
“…Future studies should obtain regional records, document movement patterns, and conduct experimental work on migration in butterflies to reveal hotspots and their vulnerability to extinction, thus providing invaluable data for butterfly conservation. A fruitful avenue would be to focus on mapping the distributions of migratory butterflies at different times of year (Chowdhury et al ., 2020).…”
Section: Discussionmentioning
confidence: 99%
“…Some British butterflies also use a sun compass during migration (Baker, 1968). Temperature seasonality in temperate regions and seasonal precipitation in the tropics may play key roles in cueing butterfly migration (Chowdhury et al, 2021). Our understanding of the migratory behaviour of ssp.…”
Section: Discussionmentioning
confidence: 99%
“…Further, we removed records that are incompatible with the countries given, or otherwise doubtful using a range of error-checking methods using the CoordinateCleaner package 32 in R 33 . We split years into four seasons (3 months each; Dec-Feb, Mar-May, Jun-Aug, Sep-Nov), and divided the entire world into 11 zoogeographic regions: Afrotropical, Australian, Madagascan, Nearctic, Neotropical, Oceania, Oriental, Palaearctic, Panamanian, Saharo-Arabian and Sino-Japanese 25,34 . We developed the ecological niche model at 4.65*4.65 km 2 resolution using the ENMeval package 35 in R. The ENMeval package can spatially group available geospatial records in four bins, so we removed species with < 4 unique occurrence records in species-season-region combinations.…”
Section: Methods a Data Preparationmentioning
confidence: 99%
“…We validated each model with 10-fold cross-validation, tune it using three feature class combinations ('L', 'LQ' and 'LQP') and four candidate regularisation multipliers (0.5, 1, 1.5, 2) using the ENMeval package 35 in R. We chose the best tting model, as determined by the AUC (the Area Under the Curve). We used the 'checkerboard2' evaluation method to handle model overin ation resulting from biased sampling 25,35 , which partitions both geospatial records and background points into evaluation bins to reduce spatial autocorrelation between points in the testing and training bins 35 . We only considered species with four seasonal maps.…”
Section: B Ecological Modelmentioning
confidence: 99%
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