Disentangling the paradox of insect phenology: are temporal trends reflecting the response to warming?
The strength and direction of phenological responses to changes in climate have been shown to vary significantly both among species and among populations of a species, with the overall patterns not fully resolved. Here, we studied the temporal and spatial variability associated with the response of several insect species to recent global warming. We use hierarchical models within a model comparison framework to analyze phenological data gathered over 40 years by the Japan Meteorological Agency on the emergence dates of 14 insect species at sites across Japan. Contrary to what has been predicted with global warming, temporal trends of annual emergence showed a later emergence day for some species and sites over time, even though temperatures are warming. However, when emergence data were analyzed as a function of temperature and precipitation, the overall response pointed out an earlier emergence day with warmer conditions. The apparent contradiction between the response to temperature and trends over time indicates that other factors, such as declining populations, may be affecting the date phenological events are being recorded. Overall, the responses by insects were weaker than those found for plants in previous work over the same time period in these ecosystems, suggesting the potential for ecological mismatches with deleterious effects for both suites of species. And although temperature may be the major driver of species phenology, we should be cautious when analyzing phenological datasets as many other factors may also be contributing to the variability in phenology.
Department of Biology, Boston University, Boston, MA, 02215, USA. eellwood@bu.edu
Elizabeth R
ER
Ellwood
Jeffrey M
JM
Diez
Inés
I
Ibáñez
Richard B
RB
Primack
Hiromi
H
Kobori
Hiroyoshi
H
Higuchi
John A
JA
Silander
D000064:Acclimatization / Q000502:physiology*; D000818:Animals; D001499:Bayes Theorem; D057231:Climate Change; D007313:Insecta / Q000502:physiology*; D007564:Japan; D008954:Models, Biological; D011891:Rain; D013045:Species Specificity; D013696:Temperature; D013997:Time Factors