Climate change is leading to an ecological trap in a migratory insect

Many insect migrants rely on favorable seasonal winds to carry out long-range latitudinal migrations. In East China, the annual advance and retreat of the East Asian summer monsoon produces ideal conditions for seasonal range expansion and contraction of many migratory crop pests. However, climate-induced changes in the strength, timing, and location of the monsoon are impacting wind systems which may, in turn, affect migration patterns. We investigated these questions in the rice leafroller (RLR) moth, a severe pest of rice that annually invades the Lower Yangtze River Valley (LYRV) of China from winter-breeding areas further south. Using a 24-y dataset of RLR population dynamics from 31 monitoring stations across Southeast China, we investigated the impact of changes in monsoon wind regimes on fall migration patterns of the pest. Historically, RLR emigrated from the LYRV to South China on the favorably directed winds produced by the retreat of the monsoon at the end of the outbreak se..., Five-day RLR number in field and daily catch data from 11 stations in the Lower Yangtze River Valley (LYRV) obtained from the National Agro-Tech Extension and Service Centre (NATESC), which has been continuously collecting data since 2000. Field surveys involved plant protection station staff walking a standardized transect through a rice paddy every day during the season when moths are present in the area, and counting the number of adult RLR flushed from the crop. Nightly abundance of adult moths in the vicinity of the rice paddies where field surveys were conducted was monitored by counting the number of moths caught every night in standardized 20- W “black- light” (UV) traps., , # Title of Dataset: Climate change is leading to an ecological trap in a migratory insect

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5-day RLR number in field and daily catch data from 11 stations in the Lower Yangtze River Valley (LYRV) obtained from the National Agro-Tech Extension and Service Centre (NATESC), which has been continuously collecting data since 2000.

## Description of the Data and file structure

The dataset contains two tables/sheets: 5-day RLR number in field survey, Daily RLR catch in light trap

The table/sheet named '**field_survey**' includes six columns: Year, Month, Period, Longitude, Latitude, Number

* Year: 2000-2023 year
* Month: Mar=3, April=4, May=5, June=6, July=7, Aug=8, Sept=9, Oct=10
* Period: 5-day period; 1-5 means the 1st to 5th day of the month, 6-10 means the 6th to 10th day of the month, and so on.
* Longitude: The longitude degree of the location of site (numerical degree)
* Latitude: The latitude degree of the location of site (numerical degree)
* Number: Numerical No. of individ...