Biology subjects

Zou, H.-X.

Publications and source records attributed to Zou, H.-X..

11 recordsLinked to original sources

bioRxiv2026

The devil in citizen science data: observation processes invalidate the causal inference that photovoltaic policy reduces bird diversity

Citizen science data are increasingly used to infer biodiversity change, but causal claims based on such data are credible only if sampling effort and its temporal shifts are explicitly modeled. Zhang et al. (1) used citizen science data to conclude that greater photovoltaic policy stringency, measured using the photovoltaic policy stringency index (PSI), reduced county-level bird diversity in China. We reproduced their fixed effects and instrumental variable estimates. However, the observed Shannon diversity derived from pooled citizen science records reflects both bird communities and sampling effort, which the authors' controls do not adequately capture. Accounting for observer count changed the reported statistically significant 2.10% decline in Shannon index to a nonsignificant 0.58% increase (P = 0.288) per one-standard-deviation increase in PSI, and rendered the instrumental variable estimate statistically indistinguishable from zero (P = 0.912). Yet observer count is only one of many sources of sampling bias. PSI was also associated with multiple dimensions of sampling effort, consistent with sampling effort acting as a potential mediator in the PSI-diversity chain. The sampling domain also shifted markedly from 2014 to 2023: recorded county-months increased almost 24-fold, median observer count rose from one to three, and zero-duration records declined from 57.2% to 0.17%. Without adequate adjustment, these shifts confound estimates of temporal change in observed bird diversity. Beyond its inadequate treatment of sampling effort, the original study also misinterpreted its statistical results. Although the reported R{superscript 2} values are high, they are dominated by county and year-month fixed effects, with PSI contributing a partial R{superscript 2} of only 0.048% on observed Shannon index. The PSI-photovoltaic-area correlation is also weak (r = 0.0414) and vanishes after accounting for fixed effects (P = 0.977). Furthermore, the released bird observation data contain many erroneous outliers, raising significant concerns about insufficiently rigorous data preprocessing and quality control. These results show that the released data cannot properly distinguish ecological change from sampling effort change. Robust inference from citizen science data requires checklist-level effort metadata, explicit correction for spatiotemporal sampling shifts, and close collaboration among researchers with complementary methodological and ecological expertise.

ecology↗

bioRxiv2026

Large language models unlock the ecology of species interactions

Species interactions shape population dynamics, geographic distributions, evolutionary trajectories, and responses to environmental change. Yet data on these interactions remain scarce across broad spatial, temporal, and taxonomic scales because they are difficult to collect in the field. One promising source of interaction data is citizen science platforms, which contain billions of biodiversity observations, often accompanied by unstructured text comments that may document interactions among organisms. Advances in large language models (LLMs) make it increasingly feasible to identify, extract, and categorize biotic interactions from these unstructured data at scale. Here, we present an LLM workflow that collects species interaction observations from multilingual citizen science comments. Using two case studies--bird-bird and plant-pollinator interactions--we show that LLMs can rapidly extract interaction types and participating species with high accuracy. These data can greatly expand the spatial, temporal, and taxonomic coverage and resolution of species interactions data, enable new tests of long-standing ecological questions, and improve our ability to track ecological changes. With appropriate validation, expert review, and attention to data privacy for both users and sensitive species, this approach opens new opportunities to characterize, forecast, and conserve biodiversity under global change.

ecology↗

bioRxiv2025

Abundance redistribution increases predator-prey interaction potentials among North American birds

Species are dramatically shifting their geographical ranges, yet the consequences of these spatial redistributions on species interactions have not been examined at broad spatial and temporal scales. Here, we investigate how the redistribution of species abundance over the past 50 years affects the potential for predator-prey interactions among North American birds. We first predict potential predator-prey interactions based on existing data and functional traits, then construct a novel, abundance-weighted metric of interaction potential for each pair of predator and prey in local communities. Across North America, the potential for predator-prey interactions has been increasing over time. We further show that this widespread increasing trend in interaction potentials is mostly driven by higher abundances of predator species. The spatial redistributions of predators and prey lead to turnover of interactions within local communities, and the turnover is less associated with changes in climate but more associated with human-induced land use changes. Our novel approach and results highlight the importance of considering traits, abundance, and species interactions--including known and potential interactions--when studying the ecological consequences of species range shifts.

ecology↗

bioRxiv2025

Hyper-dominant species drive unexpected functional shifts in North American birds

Global environmental changes have led to widespread intraspecific shifts in functional traits across large numbers of widely distributed taxa. However, how within-species functional shifts predict community-level changes is unknown. We summarized seven key traits that are hypothesized to shift adaptively under environmental changes using local community-weighted means across North American bird communities. We find that communities shifted toward larger body mass and smaller appendage sizes over time, the opposite of widely observed within-species temporal changes in North American birds. These unexpected patterns arise from changes in the relative abundance of a very small number of hyper-dominant species, with 23 out of 470 (5%) species explaining the community-level trajectories in functional traits. These species are known to be heavily impacted--both positively and negatively--by human activities, and the idiosyncratic drivers of population sizes result in weak associations between community-level functional shifts and major bioclimatic variables but strong associations with human-induced land use changes. Our results illustrate the complexity in scaling from within-species responses to global change to community-level responses and highlight the importance of species-specific responses to the environment beyond climate when predicting functional and taxonomic diversity under global change.

ecology↗

bioRxiv2025

Tryptophanol, a novel auxin analog found in marine diatoms, enhances nitrogen assimilation

Diatoms exhibit superior competitive capacity in nitrogen assimilation, largely contributing to their growth, although the mechanisms underpinning their success have not been completely understood. Here, a non-ribosomal peptide synthase-like (PtNRPS1, with an unusual domain structure A-T-R1-R2) gene was found to play a vital role in short-term nitrogen assimilation in the marine diatom Phaeodactylum tricornutum. In vitro biochemical assays and in vivo overexpression confirmed that PtNRPS1 catalyzed two sequential two-electron reductions of L-tryptophan to tryptophanol. Tryptophanol exhibits high structural and functional similarities to indole-3-acetic acid (IAA), the most typical phytohormone auxin. Surprisingly, the effective concentration of tryptophanol was lower than that of IAA by as much as 2-5 orders of magnitude for P. tricornutum. Compared with the action of IAA, a distinct molecular mode for tryptophanol was revealed by transcriptomic analysis, resulting mainly in enhanced short-term nitrogen assimilation, which was also confirmed by the elevated nitrogen uptake rates determined by stable-isotope tracking. Finally, global distribution of PtNRPS1 homologues from stramenopiles was found to be positively correlated with the abundance of genes involved in nitrogen assimilation pathways. Overall, our study provides evidence of an auxin-like derivative synthesized by an NRPS in a diatom. We speculate that tryptophanol may accelerate nitrogen assimilation, conferring advantages in the competition for nitrogen in the ocean.

plant biology↗

bioRxiv2025

Consequences of phenological shifts are determined by the number of generations per season

The order and timing of species arrival in a community can often change species interactions. Termed priority effects, this phenomenon arises in communities with drastically different life histories (e.g., bacteria, insects, and amphibians), yet how such life history traits affect consequences of priority effects in seasonal systems remains understudied. Here, we test how a key aspect of life history, numbers of generations in a growing season, interact with priority effects using two competing flour beetles, Tribolium castaneum and Tribolium confusum. We manipulated the sequence and timing of arrivals and collected all adults after one, two, or three generations, simulating phenological shifts in communities with different growing season lengths. The early species always reached a higher population, and in general, its per-capita competition towards the late arriver was stronger, indicating priority effects. However, fitting competition models to the data revealed that more generations in a season led to smaller ranges of the calculated stabilization potentials and fitness differences between species and more positive stabilization potentials, indicating that overlapping generations buffered interactions against strong priority effects from different arrival times. These results suggest that effects of phenological shifts (e.g. due to climate change) on species coexistence mechanisms are contingent on the life-histories of interacting species.

ecology↗

bioRxiv2024

Physiological, transcriptomic and metabolomic responses of the marine diatom Phaeodactylum tricornutum to auxin

Auxin, an essential phytohormone, is widely used to promote plant growth and development. However, the effect of auxin on diatoms and its mechanism remain underexplored. Here, we studied the impact of auxin 3-indoleacetic acid (IAA) on the marine diatom Phaeodactylum tricornutum and the underlying molecular mechanisms. We found that 5 g L-1 of IAA promotes the growth of P. tricornutum in a time- dependent manner. Treatment with IAA resulted in significant changes in photosynthetic pigments and malondialdehyde, chlorophyll fluorescence, and antioxidant enzyme activities. In addition, transcriptomics showed that IAA exposure leads to upregulation of a large number of differential genes (DEGs) in carbon fixation and porphyrin metabolism, several of which were verified by qPCR. Furthermore, corresponding metabolites of these pathways were also validated by metabolomic analysis. Thus, IAA exhibits growth-promotion effect on the diatom mainly through increasing photosynthetic carbon sequestration and the expression of genes in porphyrin synthesis. Our results provide key data on the action mechanism of IAA in promoting the growth of a diatom.

plant biology↗

bioRxiv2023

Time-dependent Interaction Modification Generated from Plant-soil Feedback

Pairwise interactions between species can be modified by other community members, leading to emergent dynamics contingent on community composition. Despite the prevalence of such higher-order interactions, little is known about how they are linked to the timing and order of species arrival. We generate population dynamics from a mechanistic plant-soil feedback model, then apply a general theoretical framework to show that the modification of a pairwise interaction by a third plant depends on its germination phenology. These time-dependent interaction modifications emerge from concurrent changes in plant and microbe populations and are strengthened by higher overlap between plants associated microbiomes. The interaction between this overlap and the specificity of microbiomes further determines plant coexistence. Our framework is widely applicable to mechanisms in other systems from which similar time-dependent interaction modifications can emerge, highlighting the need to integrate temporal shifts of species interactions to predict the emergent dynamics of natural communities.

ecology↗

bioRxiv2022

Bridging Theory and Experiments of Priority Effects

Priority effects play a key role in structuring natural communities, but considerable confusion remains about how they affect different ecological systems. Synthesizing previous studies, we show that this confusion arises because the mechanisms driving priority and the temporal scale at which they operate differ among studies, leading to divergent outcomes in species interactions and biodiversity patterns. We suggest grouping priority effects into two functional categories based on their mechanisms: "frequency-dependent" priority effects that arise from positive frequency dependence, and "trait-dependent" priority effects that arise from time-dependent changes in interacting traits. Through easy quantification of these categories from experiments, we can construct community models representing diverse biological mechanisms and interactions with priority effects, therefore better predicting their consequences across ecosystems.

ecology↗

bioRxiv2022

Priority effects determine how dispersal affects biodiversity in seasonal metacommunities

The arrival order of species frequently determines the outcome of their interactions. This phenomenon, called the priority effect, is ubiquitous in nature and determines local community structure, but we know surprisingly little about how it influences biodiversity across different spatial scales. Here, we use a seasonal metacommunity model to show that biodiversity patterns and the homogenizing effect of high dispersal depend on the specific mechanisms underlying priority effects. When priority effects are only driven by positive frequency dependence, dispersal-diversity relationships are sensitive to initial conditions but generally show a hump-shaped relationship: biodiversity declines when dispersal rates become high and allow the dominant competitor to exclude other species across patches. When spatiotemporal variation in phenological differences alters species interaction strengths (trait-dependent priority effects), local, regional, and temporal diversity are surprisingly insensitive to variation in dispersal, regardless of the initial numeric advantage. Thus, trait-dependent priority effects can strongly reduce the effect of dispersal on biodiversity, preventing the homogenization of metacommunities. Our results suggest an alternative mechanism that maintains local and regional diversity without environmental heterogeneity, highlighting that accounting for the mechanisms underlying priority effects is fundamental to understanding patterns of biodiversity.

ecology↗

bioRxiv2020

Priority effects and season length shape long-term competition dynamics

The relative arrival time of species can affect their interactions and thus determine which species persist in a community. Although this phenomenon, called priority effect, is widespread in natural communities, it is unclear how it depends on the length of growing season. Using a seasonal stage-structured model, we show that differences in stages of interacting species could generate priority effects by altering the strength of stabilizing and equalizing coexistence mechanisms, changing outcomes between exclusion, coexistence, and positive frequency dependence. However, these priority effects are strongest in systems with just one or a few generations per season and diminish in systems where many overlapping generations per season dilute the importance of stage-specific interactions. Our model reveals a novel link between the number of generations in a season and the consequences of priority effects, suggesting that consequences of phenological shifts driven by climate change should depend on specific life histories of organisms.

ecology↗