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学者姓名：王荣
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【目的】探究木毒蛾钙黏蛋白（LxCad）的分子特征、表达量及其与Cry1Ac毒素的分子互作机制，为深入研究Cry毒素受体蛋白提供参考。【方法】以木毒蛾4龄幼虫cDNA为模板，通过RT-PCR技术对LxCad基因进行克隆并进行生物信息学分析；利用qRT-PCR技术分析该基因在木毒蛾幼虫不同龄期及不同组织（头、中肠、表皮）中的表达模式；通过毒力测定获得Cry1Ac毒素对木毒蛾2龄幼虫的致死中浓度(LC
Keyword ：
Cry毒素受体 Cry毒素受体 分子对接 分子对接 木毒蛾 木毒蛾 表达谱分析 表达谱分析 钙黏蛋白 钙黏蛋白
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| GB/T 7714 | 孙媛媛 , 陈佳宁 , 倪涛 et al. 木毒蛾钙黏蛋白基因的克隆及其表达与结构特点分析 [J]. | 福建农林大学学报(自然科学版) , 2025 , 54 (01) : 17-25 . |
| MLA | 孙媛媛 et al. "木毒蛾钙黏蛋白基因的克隆及其表达与结构特点分析" . | 福建农林大学学报(自然科学版) 54 . 01 (2025) : 17-25 . |
| APA | 孙媛媛 , 陈佳宁 , 倪涛 , 任昊杰 , 蔡鹏宁 , 彭显程 et al. 木毒蛾钙黏蛋白基因的克隆及其表达与结构特点分析 . | 福建农林大学学报(自然科学版) , 2025 , 54 (01) , 17-25 . |
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为明确福建漳江口红树林国家级自然保护区昆虫群落结构及多样性特征，在保护区上、中、下游的不同潮位(高、中、低)选取了桐花树、秋茄、白骨壤纯林以及桐花树-秋茄、白骨壤-秋茄混交林进行昆虫群落调查。连续8个月(3—10月)的调查共采集昆虫223种，隶属于11目62科。7、8月的昆虫物种最丰富，7月采集的昆虫个体数量最多，为1 838头，8月的昆虫Margalef丰富度指数最高，达11.530 91;3—5月和9—10月的昆虫物种丰富度较低，其中，3月采集的昆虫个体数量最少，为545头，昆虫Margalef丰富度指数仅为5.237 44。共鉴定出直接危害红树林的害虫有13种，其中，11种害虫为害叶片，3种害虫为害枝干。白骨壤林分的害虫种类最多，共有8种，占害虫种类数量的61.54%。鳞翅目是漳江口红树林昆虫群落的优势类群，且昆虫的种类和数量随月份的变化趋势为7月>9月>8月>10月>5月>6月>4月>3月；主要害虫种类为棉古毒蛾、咖啡蠹蛾、素木绿刺蛾、荔枝异形小卷蛾等。
Keyword ：
多样性 多样性 害虫 害虫 昆虫群落 昆虫群落 福建漳江口红树林国家级自然保护区 福建漳江口红树林国家级自然保护区 红树林 红树林
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| GB/T 7714 | 倪涛 , 彭显程 , 蔡鹏宁 et al. 漳江口红树林生态系统昆虫多样性研究 [J]. | 森林与环境学报 , 2025 , 45 (04) : 442-448 . |
| MLA | 倪涛 et al. "漳江口红树林生态系统昆虫多样性研究" . | 森林与环境学报 45 . 04 (2025) : 442-448 . |
| APA | 倪涛 , 彭显程 , 蔡鹏宁 , 宋海天 , 丁珌 , 王荣 . 漳江口红树林生态系统昆虫多样性研究 . | 森林与环境学报 , 2025 , 45 (04) , 442-448 . |
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In this paper, we describe two new species of Philanthaxia Deyrolle, 1864, from Hainan, China, namely, P. longicornis Ni & Song, sp. nov., and P. lui Ni & Song, sp. nov., with the adult host plant Casearia membranacea Hance (Salicaceae). The characters of these new species are described with illustrations, comparisons are made with the most similar species, and the COI gene sequence of P. longicornis and its analysis are provided.
Keyword ：
buprestinae buprestinae Hainan Hainan new species new species Philanthaxia Philanthaxia taxonomy taxonomy
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| GB/T 7714 | Ni, Tao , Qi, Zhihao , Peng, Xiancheng et al. Two New Species of the Genus Philanthaxia Deyrolle, 1864, from Hainan Province, China (Coleoptera, Buprestidae, Thomassetiini) [J]. | INSECTS , 2025 , 16 (8) . |
| MLA | Ni, Tao et al. "Two New Species of the Genus Philanthaxia Deyrolle, 1864, from Hainan Province, China (Coleoptera, Buprestidae, Thomassetiini)" . | INSECTS 16 . 8 (2025) . |
| APA | Ni, Tao , Qi, Zhihao , Peng, Xiancheng , Song, Haitian , Wang, Rong . Two New Species of the Genus Philanthaxia Deyrolle, 1864, from Hainan Province, China (Coleoptera, Buprestidae, Thomassetiini) . | INSECTS , 2025 , 16 (8) . |
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【目的】针对蝴蝶样本存在类间和类内分布不平衡导致识别性能下降的问题，探索一种多损失融合的蝴蝶自动识别方法。【方法】利用开源的Butterfly-200图像数据集作为实验数据。该数据集包括200种蝴蝶，每种蝴蝶的图像数量从30～885不等。以交叉熵损失(cross-entropy loss)为基准损失，分别叠加对比损失(contrastive loss)、焦点损失(focal loss)、类平衡损失(class-balanced loss)、采样(sampling)、logit调整(logit adjustment),比较算法的识别性能。在此基础上，利用中心损失(center loss)有助于缓解类内不平衡而焦点损失有助于缓解类内和类间不平衡的特点，开展消融实验分析叠加中心损失和焦点损失对识别性能的影响，提出了融合上述这两种损失的蝴蝶自动识别新方法。【结果】交叉熵损失与其他单一损失(对比损失除外)结合时，算法的识别性能基本上呈现不同程度的下降。我们的算法在交叉熵损失基础上结合中心损失和焦点损失后，其识别性能均超过交叉熵损失及其与其他损失的组合，准确率、F1分值、查准率和召回率分别91.67%, 90.68%, 91.68%和90.38%。消融试验进一步证实了中心损失和焦点损失的互补性，同时使用这两种损失能明显提升识别性能。此外，不同权重的损失组合对识别性能也有明显影响。【结论】研究结果证明融合中心损失和焦点损失在一定程度上缓解了类间和类内分布不均衡的问题，能够有效提高蝴蝶识别的准确性，为生态环境监测提供了一种有效的辅助手段。
Keyword ：
中心损失 中心损失 交叉熵损失 交叉熵损失 分布不均衡 分布不均衡 图像分类 图像分类 焦点损失 焦点损失 蝴蝶 蝴蝶
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| GB/T 7714 | 李小林 , 李建祥 , 陈彬彬 et al. 融合中心损失和焦点损失的蝴蝶自动识别 [J]. | 昆虫学报 , 2025 , 68 (02) : 223-230 . |
| MLA | 李小林 et al. "融合中心损失和焦点损失的蝴蝶自动识别" . | 昆虫学报 68 . 02 (2025) : 223-230 . |
| APA | 李小林 , 李建祥 , 陈彬彬 , 王荣 , 张飞萍 , 黄世国 . 融合中心损失和焦点损失的蝴蝶自动识别 . | 昆虫学报 , 2025 , 68 (02) , 223-230 . |
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Lymantria xylina Swinhoe (Lepidoptera: Erebidae) is considered a potentially internationally invasive forest pest with limited knowledge about its phototactic behavior. This study investigated the phototaxis of L. xylina males and females using various insecticidal lamps in the field. The results showed that all lamps attracted both males and females, but females were captured in a very low numbers, with a female-to-male ratio of 1:322. The insecticidal lamp with a peak wavelength of 363 nm was most effective for male trapping. Males exhibited a distinct light-trapping rhythm, peaking around midnight (23:00-0:00), with 29.5% capture, while females were most active at dusk (19:00-20:00), with 44.4% capture. Light-trapped females were smaller and lighter than indoor-emerged females and had lower egg-carrying capacity. Females, when laying eggs, did not exhibit phototactic behavior. Only 14.6% of non-ovipositing females showed phototactic behavior, and only 0.6% flew directly toward the lamp. These findings suggest that while non-ovipositing females can exhibit phototaxis, only a small proportion will, potentially reducing the risk of long-distance dispersal of L. xylina via ocean-going freighters. The results showed that the non-ovipositing females could fly under phototaxis, but their phototaxis was limited. This study provides a basis for the risk assessment of the long-distance dispersal of L. xylina via ocean-going freighters through female moth phototactic flight.
Keyword ：
dispersal risk dispersal risk fecundity fecundity light-trapping effect light-trapping effect light-trapping rhythm light-trapping rhythm Lymantria xylina Lymantria xylina phototaxis phototaxis sexual dimorphism sexual dimorphism
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| GB/T 7714 | Zhang, Jifeng , Wang, Baode , Wang, Rong et al. Phototaxis Characteristics of Lymantria xylina (Lepidoptera: Erebidae) [J]. | INSECTS , 2025 , 16 (4) . |
| MLA | Zhang, Jifeng et al. "Phototaxis Characteristics of Lymantria xylina (Lepidoptera: Erebidae)" . | INSECTS 16 . 4 (2025) . |
| APA | Zhang, Jifeng , Wang, Baode , Wang, Rong , Peng, Xiancheng , Li, Junnan , Xu, Changchun et al. Phototaxis Characteristics of Lymantria xylina (Lepidoptera: Erebidae) . | INSECTS , 2025 , 16 (4) . |
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Simple Summary Lymantria xylina is not only a serious defoliator pest but also a close relative of the spongy moth, L. dispar, drawing widespread international attention. Using scanning electron microscopy technology, sexual dimorphism in compound eye morphology was examined, with males exhibiting significantly larger compound eyes, larger facet areas, larger facet perimeters, and a greater total number of facets than females. Although transmission electron microscopy reveals that the fundamental ommatidium structure, comprising a cornea, a crystalline cone, and a rhabdom with eight retinular cells, remains consistent, males possess thinner corneas and elongated crystalline cones. Multiple differences in compound eye structures indicate that males may exhibit enhanced sensitivity and adaptability to light compared to females. However, females achieve adaptability through the regulation of pigment granule translocation in response to changing light conditions.Abstract Lymantria xylina is a major pest in coastal casuarina shelterbelts and a species subject to quarantine regulations by countries to which it is non-native. Phototaxis is fundamental to the insect's surveillance and risk assessment analysis, and it exhibits pronounced sexual dimorphism in compound eye structure. This dimorphism was investigated using scanning and transmission electron microscopy. Males displayed significantly larger compound eyes, characterized by greater ommatidial areas and a higher total number of facets per eye compared to females. From the distal to proximal end, the ommatidium consists of the cornea, primary and secondary pigment cells, crystalline cones, retinula cells, a rhabdom bundle, and basal retinal cells (in a "7 + 1" arrangement). The internal ultrastructure of the ommatidia is similar in both sexes. However, males possess significantly thinner cornea and extremely elongated crystalline cones. Based on external morphology, both sexes generally exhibit a parallel-symmetrical compound eye form, minimizing optical asymmetry to optimize nocturnal vision. These differences are attributed to the distinct visual demands of males for mate-searching in low-light environments, while females, being more stationary, have reduced visual needs. Paraffin sections of Lymantria xylina compound eyes further revealed that, during dark adaptation, pigment granules aggregated within the crystalline cone region to enhance low-light capture. Conversely, following intense light stimulation, these granules translocated to the perinuclear region of photoreceptor cells, forming a light-shielding configuration.
Keyword ：
compound eyes compound eyes invasive pests invasive pests ultrastructure ultrastructure visual system visual system
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| GB/T 7714 | Jiang, Hui , Ni, Tao , Liu, Siyi et al. Putative Photosensitivity-Associated Sexual Dimorphism in Compound Eye Structure of Lymantria xylina (Lepidoptera: Erebidae) [J]. | INSECTS , 2025 , 16 (11) . |
| MLA | Jiang, Hui et al. "Putative Photosensitivity-Associated Sexual Dimorphism in Compound Eye Structure of Lymantria xylina (Lepidoptera: Erebidae)" . | INSECTS 16 . 11 (2025) . |
| APA | Jiang, Hui , Ni, Tao , Liu, Siyi , Wang, Meng , Zheng, Jialing , Wang, Baode et al. Putative Photosensitivity-Associated Sexual Dimorphism in Compound Eye Structure of Lymantria xylina (Lepidoptera: Erebidae) . | INSECTS , 2025 , 16 (11) . |
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Lymantria xylina Swinhoe (Lepidoptera: Erebidae) is a potentially invasive pest, similar to Lymantria dispar asiatica Vnukovskij and Lymantria dispar japonica Motschulsky (Lepidoptera: Erebidae). To evaluate its potential for spread and flight distance related to egg deposition on vessels at ports, we employed a flight mill to assess the flight capabilities of its adults under varying conditions. Our findings revealed that females primarily flew short distances and ceased flying after 3:00 AM, whereas males covered much longer distances throughout the day. Sex, age, and flight duration significantly influenced flight ability. Females exhibited weaker flight capability than males, and their ability declined with increasing age or flight duration. Notably, 1-day-old moths displayed the strongest flight ability, with average flight distances of up to 3.975 km for females and 8.441 km for males. By the fifth day, females no longer flew, and males experienced reduced flight ability. After continuous hanging for 16 h, females lost most of their flight capacity, while males remained capable of flight even after 32 h. Additionally, female flight ability decreased significantly after mating, possibly due to factors such as egg-carrying capacity, weight, and load ratio. This study provides a foundation for assessing the risk of long-distance dispersal of L. xylina via ocean-going freighters, considering female moths' phototactic flight and oviposition.
Keyword ：
dispersal dispersal female moth female moth flight ability flight ability flight mill flight mill Lymantria xylina Lymantria xylina
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| GB/T 7714 | Zhang, Jifeng , Wang, Baode , Ren, Haojie et al. Evaluation of the Potential Flight Ability of the Casuarina Moth, Lymantria xylina (Lepidoptera: Erebidae) [J]. | INSECTS , 2024 , 15 (7) . |
| MLA | Zhang, Jifeng et al. "Evaluation of the Potential Flight Ability of the Casuarina Moth, Lymantria xylina (Lepidoptera: Erebidae)" . | INSECTS 15 . 7 (2024) . |
| APA | Zhang, Jifeng , Wang, Baode , Ren, Haojie , Chen, Jianing , Li, Junnan , Sun, Yuanyuan et al. Evaluation of the Potential Flight Ability of the Casuarina Moth, Lymantria xylina (Lepidoptera: Erebidae) . | INSECTS , 2024 , 15 (7) . |
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[目的]昆虫常在色彩、纹理或形态上和背景相似,具有伪装性,识别难度大.本研究旨在探索基于深度学习的伪装昆虫前背景自动分割方法.[方法]将显著目标检测算法(salient object detection algorithm)、大模型 图像分割算法(large-scale model-based image segmentation algorithm)以及伪装目标检测算法(camouflaged object detection algorithm)应用于伪装昆虫数据集,该数据集包括10类昆虫共1 900张图片;并进一步针对现有伪装目标检测算法的不足,提出了一种基于DGNet(deep-gradient network)的网络模型改进方法,即 ZDNet(zoom-deep gradient network).在构建该模型时,充分运用图像特征增强、交错图像金字塔、梯度诱导和跳跃式特征融合等技术.利用伪装目标检测公开数据集COD10K与CAMO构建了包含螽斯、蜘蛛等10个目昆虫的图像数据集,结合迁移学习进行网络训练,将经过训练的模型用于分割伪装昆虫.[结果]现有的伪装目标检测模型用于伪装昆虫前背景分割时,其分割性能明显优于显著目标检测模型和大模型分割图像.同时,ZDNet在性能上也明显优于现有的伪装目标检测算法,获得的S度量值、最大F度量值、平均F度量值、最大E度量值、平均E度量值和平均绝对误差(mean absolute error,MAE)分别为0.890,0.865,0.824,0.966,0.951和0.020.[结论]研究结果证明了 ZDNet网络模型能够获得很好的伪装昆虫前背景分割结果,有利于提高昆虫识别的性能,也进一步拓宽了伪装目标检测方法的应用范围.
Keyword ：
伪装 伪装 图像分割 图像分割 昆虫 昆虫 深层梯度网络 深层梯度网络 深度学习 深度学习 目标检测 目标检测
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| GB/T 7714 | 范炬臣 , 李小林 , 任昊杰 et al. 一种伪装昆虫图像的前背景自动分割算法 [J]. | 昆虫学报 , 2024 , 67 (8) : 1127-1136 . |
| MLA | 范炬臣 et al. "一种伪装昆虫图像的前背景自动分割算法" . | 昆虫学报 67 . 8 (2024) : 1127-1136 . |
| APA | 范炬臣 , 李小林 , 任昊杰 , 王荣 , 张飞萍 , 黄世国 . 一种伪装昆虫图像的前背景自动分割算法 . | 昆虫学报 , 2024 , 67 (8) , 1127-1136 . |
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[目的]昆虫常在色彩、纹理或形态上和背景相似,具有伪装性,识别难度大。本研究旨在探索基于深度学习的伪装昆虫前背景自动分割方法。[方法]将显著性目标检测算法(salient object detection algorithm)、大模型图像分割算法(large-scale model-based image segmentation algorithm)以及伪装目标检测算法(camouflaged object detection algorithm)应用于伪装昆虫数据集,该数据集包括10个类昆虫共1900张图片;并进一步针对现有伪装目标检测算法的不足,提出了一种基于DGNet(deep gradient network)的网络模型改进方法,即ZDNet (zoom-deep gradient network)。在构建该模型时,充分运用图像特征增强、交错图像金字塔、梯度诱导和跳跃式特征融合等技术。利用伪装目标检测公开数据集COD10K与CAMO构建了包含螽斯、蜘蛛等10个类的昆虫图像数据集。并结合迁移学习进行网络训练,将经过训练的模型用于分割伪装昆虫。[结果]现有的伪装目标检测模型用于伪装昆虫前背景分割时,其分割性能明显优于显著目标检测模型、分割大模型。同时,ZDNet在性能上也明显优于现有的伪装目标检测算法,它在S度量值、最大F度量值、平均F度量值、最大E度量值、平均E度量值和平均绝对误差(mean absolute error,MAE)上分别为0.890,0.865,0.824,0.966,0.951和0.020。[结论]研究结果证明了ZDNet网络模型能够获得很好的伪装昆虫前背景分割结果,有利于提高昆虫识别的性能,也进一步拓宽了伪装目标检测方法的应用范围。
Keyword ：
伪装 伪装 图像分割 图像分割 昆虫 昆虫 深层梯度神经网络 深层梯度神经网络 深度学习 深度学习 目标检测 目标检测
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| GB/T 7714 | 范炬臣 , 李小林 , 任昊杰 et al. 一种伪装昆虫图像的前背景自动分割算法——ZDNet [J]. | 昆虫学报 , 2024 , (08) : 2-11 . |
| MLA | 范炬臣 et al. "一种伪装昆虫图像的前背景自动分割算法——ZDNet" . | 昆虫学报 08 (2024) : 2-11 . |
| APA | 范炬臣 , 李小林 , 任昊杰 , 王荣 , 张飞萍 , 黄世国 . 一种伪装昆虫图像的前背景自动分割算法——ZDNet . | 昆虫学报 , 2024 , (08) , 2-11 . |
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Abstract ：
[目的]准确鉴别蝴蝶种类,动态观测蝴蝶群落多样性变化对生境质量评估、生态环境恢复等方面具有重要意义。针对现有蝴蝶识别方法仅依靠整体特征,忽略了局部特征导致识别生态图像能力不足的问题,本研究旨在开发一种Local-Global-VIT细粒度分类算法的蝴蝶识别方法。[方法]本研究以5科200种共计25 279张蝴蝶图像为识别对象,采用多种数据增强方法扩充图像数据;通过视觉Transformer(vision transformer,VIT)层级结构及自注意力机制逐层选择局部令牌并保留至最后一层学习蝴蝶局部判别部位信息;聚合高层全局令牌消除复杂背景干扰;通过对比损失拉大类间距提高区分度。除此之外,使用合理的学习率调整策略和迁移学习方法,优化了模型收敛过程。[结果] Local-Global-VIT算法在大规模细粒度公开数据集Butterfly-200上识别准确率达91.20%,较改进前提升了1.15%,比最优的一般害虫识别算法EfficientNet＿b0和细粒度分类算法TransFG准确率分别高了1.83%和0.64%,F1分值分别提高了1.89%和0.88%。[结论]LocalGlobal-VIT算法以细粒度识别方式有效解决了蝴蝶类内差异大、类间差异小的分类难题,能准确地识别蝴蝶种类,有助于高效评估生境质量。
Keyword ：
vision transformer vision transformer 全局令牌聚合 全局令牌聚合 图像识别 图像识别 局部令牌选择 局部令牌选择 细粒度 细粒度 蝴蝶 蝴蝶
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| GB/T 7714 | 李建祥 , 李小林 , 王荣 et al. 基于Local-Global-VIT细粒度分类算法的蝴蝶识别 [J]. | 昆虫学报 , 2024 , (09) : 2-12 . |
| MLA | 李建祥 et al. "基于Local-Global-VIT细粒度分类算法的蝴蝶识别" . | 昆虫学报 09 (2024) : 2-12 . |
| APA | 李建祥 , 李小林 , 王荣 , 张元孜 , 陈淑武 , 张飞萍 et al. 基于Local-Global-VIT细粒度分类算法的蝴蝶识别 . | 昆虫学报 , 2024 , (09) , 2-12 . |
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