The study of insect morphology has recently benefited greatly from the emergence of new digital imaging and analysis technologies such as X-ray Micro-computed tomography (μ-CT), digital 3D reconstruction, and animation. Through interactive gaming and virtual reality, the external morphology of insects can be studied by a broad audience of both entomologists ...

The potential of artificial intelligence (AI) to shape research and education is a highly topical issue. The recent release of ChatGPT (Chat Generative Pre‐trained Transformer) by OpenAI on November 30, 2022 has opened up new possibilities for the use of chatbot services in ecological research and education. In this perspective article, we address associated contemporary topics including the use of chatbot services in ecology education and academic writing, the application of AI in ecology, the potential environmental impact, and ethical considerations of using such services. Several logistical, ethical and environmental factors were identified that should be considered in the context of ecological research. We argue that ChatGPT can help reduce the workload of researchers, generate new insights and ideas, and serve as a personal instructor and assistant for students. While we show how AI chatbots have the potential to be useful assets for ecologists, several challenges arose. AI in ecological research includes the limited ability of AI algorithms to capture complexity and nuance, the dependence of AI models on data quality, and ethical concerns about the use of AI in research. The construction and operation of such services also have potential environmental impacts but may also provide environmental benefits in comparison with other conventional approaches, all of which should be evaluated. Despite these limitations and challenges, we consider that the use of AI can be a valuable tool in ecological research and could enhance the speed and efficiency of research by automating certain tasks (e.g. data collection and management) and analyzing large amounts of data. However, we emphasize the importance of taking a responsible, sustainable and transparent approach to using chatbot services and AI in ecological research and education, while remaining mindful of the potential impact on the environment, society, and ethical concerns.

Induced host plant resistance is a potential approach to insect and disease management. Salicylic acid (SA) acts as a signal molecule to induce resistance in plants against sap-sucking insects. The effects of salicylic acid-induced resistance against common pistachio psylla, Agonoscena pistaciae Burckhardt and Lauterer, were investigated in well-watered and drought-stressed pistachio, Pistacia vera L. cv. Akbari, seedlings. Agonoscena pistaciae exhibited a significant preference for plants treated with SA as compared with untreated controls or those subjected to drought stress. Plants subjected to both drought stress and SA treatment were equivalently colonized as compared with control plants but were more attractive than those subjected to drought stress alone. Psyllid mortality increased on plants subjected to simultaneous drought stress and SA treatment as compared with controls. Salicylic acid treatment mediated production of defensive enzymes in plants, including superoxide dismutase (SOD), ascorbate peroxidase (APX), catalase (CAT), glutathione reductase (GR), guaiacol peroxidase (GPX) and polyphenol oxidase (PPO), as well as that of other metabolites such as phenol, malondialdehyde (MDA), H₂O₂, free amino acids, and pigments via phenylpropanoid pathways under conditions of drought. Despite increases in activity of detoxification (glutathione S transferase, carboxylesterase) and antioxidative (SOD, CAT, APX, phenoloxidase, GPX) enzymes in psyllids, reduced survival of A. pistaciae on drought stressed and SA-treated plants was likely caused by excessive H₂O₂ and high phenolic content in treated plants. Based on our results, we postulate that salicylic acid-induced defense against A. pistaciae under drought conditions could be manipulated to enhance antibiosis against this key pest in pistachio orchards.

Pesticide application may have adverse effects on crop plants. This study provides initial evidence on the effect of spirotetramat, an insecticide, on plant physiological characteristics as a non-target organism. Cucumber plants (Cucumis sativus L.) exposed to spirotetramat were studied 10 days after treatment. There was an increase in the activity of antioxidant enzymes including superoxide dismutase, catalase, guaiacol peroxidase, ascorbate peroxidase, glutathione reductase, and phenylalanine ammonia-lyase. The amounts of malondialdehyde, total chlorophyll, and hydrogen peroxide in addition to electrolyte leakage index were not affected by spirotetramat. Further biochemical analyses revealed an increase in the content of some amino acids, as well as sucrose, glucose, and fructose. The concentration of salicylic acid and also minerals like calcium, manganese, copper, zinc, iron, nitrogen, and magnesium were elevated in spirotetramat-treated plants. Results have shown that spirotetramat can manipulate cucumber plant physiology by inducing biochemical responses that are reflected in changes in antioxidative enzymes, amino acids, soluble carbohydrates, salicylic acid, and mineral elements. Contrary to previous documents suggesting that plants are less influenced by insecticides in conducted conditions, our results show that cucumber plants can be affected by spirotetramat at the recommended rate in different biochemical aspects in greenhouses.