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<title>Decline rate estimations and functional extinction time predictions for major terrestrial insect taxa: An integrated framework of critical network decoupling and multidimensional functional thresholds</title>
<authors>
<author>WenJun Zhang</author>
</authors>
<affiliations>
<affiliation>
School of Life Sciences, Sun Yat-sen University, Guangzhou, China
</affiliation>
</affiliations>
<journal>Network Biology</journal>
<issn>ISSN 2220-8879</issn>
<homepage>http://www.iaees.org/publications/journals/nb/online-version.asp</homepage>
<year>2027</year>
<volume>17</volume>
<issue>1</issue>
<startpage>76</startpage>
<endpage>101</endpage>
<publisher>International Academy of Ecology and Environmental Sciences</publisher>
<location>Hong Kong</location>
<date>
<received>11 February 2026</received>
<accepted>26 May 2026</accepted>
<published>1 March 2027</published>
</date>
<keywords>
<keyword>insect decline</keyword>
<keyword>butterflies</keyword>
<keyword>wild bees</keyword>
<keyword>ants</keyword>
<keyword>functional extinction</keyword>
<keyword>rate heterogeneity</keyword>
<keyword>critical decoupling</keyword>
<keyword>network robustness</keyword>
<keyword>extinction debt</keyword>
<keyword>ecological network resilience</keyword>
<keyword>conservation early warning</keyword>
</keywords>
<abstract>
Global declines in insect populations have attracted attention, yet most assessments focus on counts and species richness rather than the erosion of ecological functions. Here, I ask when major terrestrial insect taxa (butterflies, bees, and ants) will cease to perform their roles at levels sufficient for ecosystem integrity. I synthesize data from 73 historical reports, 166 long-term surveys across 1676 sites, 40 additional studies, and systematic reviews of global change impacts. Using a Bayesian hierarchical approach that accounts for spatial and taxonomic heterogeneity, I estimate annual declines of 1.5-2.5% for butterflies, 1.8-3.5% for wild bees, and highly variable ant trajectories from local stability to 42-54% functional collapse in invaded areas. I introduce a multidimensional functional extinction threshold integrating three dimensions: minimum functional population, a network decoupling index quantifying keystone connectivity loss, and a functional performance baseline at 30% of historical levels. Building on critical slowing down theory, I propose the Critical Network Decoupling Hypothesis, in which ecological networks initially compensate via interaction redundancy, then enter a decoupling phase with rising variance and loss of synchrony among keystone species, culminating in abrupt functional collapse. I further propose the Life History Buffer Hypothesis to explain taxon-specific differences in decline timing based on generation time, dietary specialization, and sociality. Our models predict that specialized pollination by long-tongued wild bees will reach functional extinction thresholds between 2030 and 2050 in temperate regions, butterfly-mediated networks around 2060, and native ant seed dispersal in tropical forests between 2050 and 2080. I introduce the Functional Loss Acceleration index as a more sensitive early warning metric than conventional population trends. These findings call for a paradigm shift from species-counting to network function protection, providing a science-based early warning framework to prevent irreversible ecosystem function collapse.
</abstract>
<url>http://www.iaees.org/publications/journals/nb/articles/2027-17(1)/decline-rate-estimations.pdf</url>
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