10.5061/DRYAD.80GB5MKS6
Xiao, Sun
0000-0003-4855-1437
Henan University
Sun, Yumei
Henan University
Ma, Ling
Henan University
Liu, Zhen
Henan University
Wang, Qiyun
Henan University
Wang, Dingli
Henan University
Zhang, Chujun
Henan University
Yu, Hongwei
Henan University
Xu, Ming
Henan University
Ding, Jianqing
Henan University
Siemann, Evan
Rice University
Multidecadal, continent-level analysis indicates agricultural practices
impact wheat aphid loads more than climate change
Dryad
dataset
2021
FOS: Agricultural sciences
Wheat aphid
natural enemy
agricultural practices
climate warming
integrated pest management
Ministry of Science and Technology of the People's Republic of China
https://ror.org/027s68j25
2017YFD0200600
Program for Science & Technology Innovation Talents in Universities
of Henan Province*
22HASTIT039
Young Talent Support Project of Henan Province*
2021HYTP034
China Postdoctoral Science Foundation
https://ror.org/0426zh255
BX201700069
Agroecosystem*
2022-07-25T00:00:00Z
2022-07-25T00:00:00Z
en
304810 bytes
5
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Temperature has a large influence on insect abundances, thus under climate
change, identifying major drivers affecting pest insect populations is
critical to world food security and agricultural ecosystem health. Here,
we conducted a meta-analysis with data obtained from 120 studies across
China and Europe from 1970 to 2017 to reveal how climate and agricultural
practices affect populations of wheat aphids. Here we showed that aphid
loads on wheat had distinct patterns between these two regions, with a
significant increase in China but a decrease in Europe over this time
period. Although temperature increased over this period in both regions,
we found no evidence showing climate warming affected aphid loads. Rather,
differences in pesticide use, fertilization, land use, and natural enemies
between China and Europe may be key factors accounting for differences in
aphid pest populations. These long-term data suggest that agricultural
practices impact wheat aphid loads more than climate warming.
We used regression analyses to examine how the abundance of aphids (log
transformed) depended on year separately for each ~ten-day period in which
aphids were present at least at some of the sites (March to May for China
and May to July for Europe). To control for multiple points from the same
study, we used the average value for each study for each year and ten-day
period. We performed another set of regressions to examine how the
abundance of natural enemies depended on year separately for each ten-day
period in which they were present at least at some of the sites in China
(April to May). In these analyses, we treated each 10-day time period
separately and used averages for each year and 10-day period. We used the
slopes of regressions to test for differences between the temporal pattern
of change over years between China and Europe and among early, mid and
late season aphid abundances in China and Europe. We considered an effect
to be significant when the 95% CI did not overlap zero and we considered
two intervals to be different when their 95% CIs did not overlap. We
tested whether a country or provinces rate of change in aphid loads was
correlated with its rate of change in temperature. We performed a mixed
model ANOVA to test whether the proportion of area under cultivation
depended on year for China provinces vs. European countries and used slope
contrasts to test whether the slopes for China vs. Europe differed on
average. We also tested whether slopes for individual countries or
provinces differed from zero.
The software of word and Excel could open the data files.