Predicting present and future habitats using LiDAR to integrate research and monitoring with landscape analyses by David A. MacLean, Thomas Baglole, Maurane Bourgouin, Billie Chiasson, Jiban C. Deb, Maitane Erdozain, Remus J. James, Lauren Negrazis, Louka Tousignant, Phil Wiebe, Greg Adams, Joseph R. Bennett, Erik J.S. Emilson, Nicole J. Fenton, Graham J. Forbes, Michelle A. Gray, Karen A. Kidd, Andrew McCartney, Gaetan Moreau, Kevin B. Porter, Osvaldo Valeria, Lisa A. Venier

“…LiDAR-based enhanced forest inventory provided forest structure variables that improved bird habitat models and spatial predictions of bird habitat, metrics explaining bryophyte composition and richness, and variability in beetle abundance and richness. …”
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Lactate-related gene signatures predict prognosis and immune profiles in esophageal squamous cell carcinoma by Xianbing Wang, Jiaying Jiang, Hongjie He, Yi Wang

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Deep Learning-Based Detection of Honey Storage Areas in <i>Apis mellifera</i> Colonies for Predicting Physical Parameters of Honey via Linear Regression by Watit Khokthong, Panpakorn Kritangkoon, Chainarong Sinpoo, Phuwasit Takioawong, Patcharin Phokasem, Terd Disayathanoowat

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Climate Warming Increases the Voltinism of Pine Caterpillar (<i>Dendrolimus spectabilis</i> Butler): Model Predictions Across Elevations and Latitudes in Shandong Province, China by Yongbin Bao, Teri Gele, Xingpeng Liu, Zhijun Tong, Jiquan Zhang

“…The pine caterpillar (<i>Dendrolimus spectabilis</i> Bulter, Lepidoptera: Lasiocampidae) is a destructive insect threatening forest communities across Eurasia. …”
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Predicting the Current and Future Habitat Distribution for an Important Fruit Pest, <i>Grapholita dimorpha</i> Komai (Lepidoptera: Tortricidae), Using an Optimized MaxEnt Model by Li Huang, Shichao Zuo, Yiqi Huo, Lizong Hu, Zhengbing Wang, Jiahui Zhang, Jin Liu, Weili Ding, Keshi Ma, Mingsheng Yang

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Effects of Global Climate Warming on the Biological Characteristics of <i>Spodoptera frugiperda</i> (J.E. Smith) (Lepidoptera: Noctuidae) by Chun Fu, Zhiqian Liu, Danping Xu, Yaqin Peng, Biyu Liu, Zhihang Zhuo

“…Using temperature and relative humidity as environmental variables, the optimal survival conditions for each insect state of the fall armyworm were calculated. …”
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Prediction of secreted uncharacterized protein structures from Beauveria bassiana ARSEF 2860 unravels novel toxins-like families by Peter F. Farag, Aya A. Elsisi, Esraa W. Elabd, Jana J. Sadek, Nada H. Mousa, Rawan M. Zaky, Sara M. Ahmed

“…In the context of a green environment, bioinsecticide metabolites, including proteins, are a safe alternative that mostly has selective toxicity to insects. Thus, this study aimed to predict and identify new toxin-like families through uncharacterized secreted proteins from one of the most potent entomopathogenic fungi, Beauveria bassiana ARSEF 2860, which was selected as a model. …”
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Adaptation variations of the Taiwanese Chinese moon moth Actias ningpoana ningtaiwana to different host plants by Yu-Ta Chou, Pei-Luen Lu

“…These findings contribute to a deeper understanding of host plant suitability, larval resource allocation, and developmental bottlenecks in herbivorous insects, with practical implications for forest management and plant–insect interaction studies.…”
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Buzzing towards Resilience: Investigating the Spatial Alignment of the Desert Pallid Bee, <i>Centris pallida</i>, and Its Host Plants in Response to Climate Change by Terese Maxine P. Cruz, Stephen L. Buchmann, Kathleen L. Prudic

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Combining Environmental Variables and Machine Learning Methods to Determine the Most Significant Factors Influencing Honey Production by Johanna Ramirez-Diaz, Arianna Manunza, Tiago Almeida de Oliveira, Tania Bobbo, Francesco Nutini, Mirco Boschetti, Maria Grazia De Iorio, Giulio Pagnacco, Michele Polli, Alessandra Stella, Giulietta Minozzi

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Species-specific variation in predicted distribution and habitat suitability of phlebotomine sand flies in Italy under different climate change scenarios by Camila González, Johan Manuel Calderón, Ana María López, Ilaria Bernardini, Luigi Gradoni, Marco Pombi, Gioia Bongiorno, Simona Gabrielli

“…Shifts in the distribution of insect vectors may affect the dynamics of Leishmania transmission, highlighting the need for improved surveillance strategies.…”
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Predicting the current potential and future world wide distribution of the onion maggot, Delia antiqua using maximum entropy ecological niche modeling. by Shuoying Ning, Jiufeng Wei, Jinian Feng

“…Climate change will markedly impact biology, population ecology, and spatial distribution patterns of insect pests because of the influence of future greenhouse effects on insect development and population dynamics. …”
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Comparative adult preference–larval performance relationship between a specialist and a generalist tephritid: Implication for predicting field host‐range by Noémie Lauciello, Christian Gilbert Mille, Abir Hafsi, Vincent Jacob, Pierre‐François Duyck

“…Abstract Phytophagous insects differ in their degree of specialization to their host plants. …”
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Structure, Binding Characteristics, and 3D Model Prediction of a Newly Identified Odorant-Binding Protein from the Cotton Bollworm, Helicoverpa armigera (Hübner) by Tian-tao ZHANG, Wei-xuan WANG, Shao-hua GU, Zi-ding ZHANG, Kong-ming WU, Yong-jun ZHANG, Yu-yuan GUO

“…This study provides clues for better understanding physiological functions of OBPs in H. armigera and other insects.…”
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Predicting the first seasonal occurrence of <i>Lobesia botrana</i> and <i>Eupoecilia ambiguella</i> in Austria using new multiple linear regression models by Kerstin Kolkmann, Sylvia Blümel, Josef Eitzinger

“… Climate change will cause new challenges for sustainable crop production, as increasing temperatures may accelerate the development of thermophilic insect pests and promote their spread and overwintering capacities. …”
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Yield prediction, pest and disease diagnosis, soil fertility mapping, precision irrigation scheduling, and food quality assessment using machine learning and deep learning algorith... by S. Ajith, S. Vijayakumar, N. Elakkiya

“…This review synthesizes advancements in artificial intelligence applications across key domains, including crop yield prediction, precision irrigation, soil fertility mapping, insect pest and disease forecasting, and foodgrain quality assessment. …”
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Predicting abundance and distribution risk of oriental fruit fly, Bactrocera dorsalis (Handel) in India based on CMIP6 projections linked with temperature-driven phenology models by Jaipal Singh Choudhary, Santosh Sambhaji Mali, Subhash Kumar Sahu, Debu Mukherjee, Bikash Das, Arun Kumar Singh, Anup Das, Bhagwati Prasad Bhatt

“…The study was incepted to devise temperature-driven phenology models and to analyze the abundance and distribution risk of B. dorsalis in India based on CMIP6 projections based on the model outcomes. Using the Insect Life Cycle Modelling software, B. dorsalis process-based phenophases models were linked with three global climate models (GCMs) and two climate change scenarios (SSP1-2.6 and SSP5-8.5). …”
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Potential Distribution of <i>Anoplophora horsfieldii Hope</i> in China Based on MaxEnt and Its Response to Climate Change by Dan Yong, Danping Xu, Xinqi Deng, Zhipeng He, Zhihang Zhuo

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Ultrasound-assisted optimization extraction and biological activities analysis of flavonoids from Sanghuangporus sanghuang by Yanhua Wang, Chen Zhang, Yilin Zhao, Fuhua Wu, Yaoli Yue, Yingjun Zhang, Dandan Li

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DNA metabarcode analyses reveal similarities and differences in plant microbiomes of industrial hemp and medicinal Cannabis in China by Jiayang Li, Jiayang Li, Hong Zhang, Songhua Long, Wenting Li, Tuhong Wang, Jian Yu, Ying Zhou, Shuo Zou, Hongjian Zhu, Jianping Xu, Yi Cheng, Yi Cheng

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