Evidence map›Paper›PMID 25535553›Full record

ArticleEcology and evolution2014

Weakening density dependence from climate change and agricultural intensification triggers pest outbreaks: a 37-year observation of cotton bollworms.

Fang Ouyang, Cang Hui, Saiying Ge, Xin-Yuan Men, Zi-Hua Zhao, Pei-Jian Shi, Yong-Sheng Zhang, Bai-Lian Li

Abstract read
In one paragraph

Article in Ecology and evolution, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Fang OuyangState Key Laboratory of Integrated Management of Pest and Rodents, Institute of Zoology, Chinese Academy of Sciences Beijing, 100101, China.
Cang HuiDepartment of Botany and Zoology, Centre for Invasion Biology, Stellenbosch University Matieland, 7602, South Africa.
Saiying GeFisher College of Business, Ohio State University Columbus, Ohio, 43210.
Xin-Yuan MenInstitute of Plant Protection, Shandong Academy of Agricultural Sciences Jinan, 250100, China.
Zi-Hua ZhaoDepartment of Entomology, China Agricultural University Beijing, 100193, China.
Pei-Jian ShiInstitute of Bamboo, Nanjing Forestry University Nanjing, 210037, China.
Yong-Sheng ZhangState Key Laboratory of Integrated Management of Pest and Rodents, Institute of Zoology, Chinese Academy of Sciences Beijing, 100101, China ; College of Plant Protection, Hunan Agricultural University Changsha, 410128, China.
Bai-Lian LiDepartment of Botany and Plant Sciences, Ecological Complexity and Modeling Laboratory, University of California Riverside, California, 92521-0124.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding drivers of population fluctuation, especially for agricultural pests, is central to the provision of agro-ecosystem services. Here, we examine the role of endogenous density dependence and exogenous factors of climate and human activity in regulating the 37-year population dynamics of an important agricultural insect pest, the cotton bollworm (Helicoverpa armigera), in North China from 1975 to 2011. Quantitative time-series analysis provided strong evidence explaining long-term population dynamics of the cotton bollworm and its driving factors. Rising temperature and declining rainfall exacerbated the effect of agricultural intensification on continuously weakening the negative density dependence in regulating the population dynamics of cotton bollworms. Consequently, ongoing climate change and agricultural intensification unleashed the tightly regulated pest population and triggered the regional outbreak of H. armigera in 1992. Although the negative density dependence can effectively regulate the population change rate to fluctuate around zero at stable equilibrium levels before and after outbreak in the 1992, the population equilibrium jumped to a higher density level with apparently larger amplitudes after the outbreak. The results highlight the possibility for exogenous factors to induce pest outbreaks and alter the population regulating mechanism of negative density dependence and, thus, the stable equilibrium of the pest population, often to a higher level, posing considerable risks to the provision of agro-ecosystem services and regional food security. Efficient and timely measures of pest management in the era of Anthropocene should target the strengthening and revival of weakening density dependence caused by climate change and human activities.

Indexed as

Climate changedensity dependencehuman activitypopulation dynamictime seriesvariation partitioning

Identifiers

PMID25535553
PMCPMC4228611

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.