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Conservation of biodiversity is critical for the coexistence of humans and the sustenance of other living organisms within the ecosystem. Identification and prioritization of specific regions to be conserved are impossible without proper information about the sites. Advanced monitoring agencies like the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) had accredited that the sum total of species that are now threatened with extinction is higher than ever before in the past and are progressing toward extinct at an alarming rate. Besides this, the conceptualized global responses to these crises are still inadequate and entail drastic changes. Therefore, more sophisticated monitoring and conservation techniques are required which can simultaneously cover a larger surface area within a stipulated time frame and gather a large pool of data. Hence, this study is an overview of remote monitoring methods in biodiversity conservation via a survey of evidence-based reviews and related studies, wherein the description of the application of some technology for biodiversity conservation and monitoring is highlighted. Finally, the paper also describes various transformative smart technologies like artificial intelligence (AI) and/or machine learning algorithms for enhanced working efficiency of currently available techniques that will aid remote monitoring methods in biodiversity conservation.

Minerals or trace elements in small amount are essential nutrients for every plant, but when the internal concentration exceeds the threshold, these essential elements do create phytotoxicity. Plant responses to elemental stresses are very common due to different anthropogenic activities; however it is a complex phenomenon with individual characteristics for various species. To cope up with the situation, a plant produces a group of strategies both in proteomic and genomic level to overcome it. Controlling the metal stress is known to activate a multigene response resulting in the changes in various proteins, which directly affects almost all biological processes in a living cell. Therefore, proteomic and genomic approaches can be useful for elucidating the molecular responses under metal stress. For this, it is tried to provide the latest knowledge and techniques used in proteomic and genomic study during nutritional stress and is represented here in review form.

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