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柑橘新品系大分4号是大分早生的芽变中选育的特早熟温州蜜柑品系。为了了解其特征特性及推广价值,以大分4号、大分早生、日南1号、宫本和市文为试验材料,在湖南省吉首市、常德市(武陵区、石门县)、长沙市、邵阳市和资兴市等地进行栽培试验,观察各品种的物候期、生长情况,并检测大分4号的果品质量。试验结果表明:大分4号树势较强、结果早、丰产稳产、果实扁平、果皮薄而光滑、肉质柔软、化渣、减酸快、风味浓、品质好、供应期长,适宜于高品质完熟栽培,可作为湖南省柑橘品种的结构改造和升级提供良种资源,在温州蜜柑产区推广。     

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莫干山啮虫二新种((虫齿)目:(虫齿)亚目)

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First attempts towards the restoration of gorgonian populations on the Mediterranean continental shelf

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1. Technological advancements in data collection and analysis are producing a new generation of ecological data. Among these, computer vision (CV) has received increased attention for its robust capabilities for rapidly processing large volumes of digital imagery.
2. In marine ecosystems, the study of fish connectivity provides fundamental information for assessing fisheries stocks, designing and implementing protected areas and understanding the impact of habitat loss. While the field of fish connectivity has benefited from technological advancements, the extent to which novel techniques, such as CV, have been utilized has not been assessed. To inform future directions and developments, this study reviewed the current use of CV in fish connectivity research, quantified how the implementation of such technology in fish connectivity research compared with other areas of marine research and described how this field could benefit from CV.
3. The review found that the use of remote camera systems in fish connectivity research is increasing, but the implementation of automated analysis of digital imagery has been slow. Successful implementation and expansion of CV frameworks in aquaculture and coral reef ecology suggest that CV techniques could greatly benefit fish connectivity research.
4. A case study of potential use of CV in fish connectivity research, scaling up optimal foraging models to predict marine population connectivity, highlights how beneficial it could be.
5. The capacity for CV techniques to be adopted alongside traditional approaches, the unparalleled speed, accuracy and reliability of these approaches and the benefits of being able to study ecosystems along multiple spatial–temporal scales, all make CV a valuable tool for assessing connectivity. Ultimately, these technologies can assist data-driven decisions that directly influence the health and productivity of marine ecosystems.

     

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