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Q. No. 77-78 Recent research has profoundly shaped ecological understanding and conservation efforts, transforming once daunting field work into a symphony of high-resolution data and predictive modelling. Satellite imagery, drones, and sensors now provide real-time monitoring of habitats, allowing scientists to track biodiversity trends at unprecedented scales. Genomic technologies reveal the intricate web of species interactions and evolutionary histories, offering insights into ecosystem resilience. Moreover, machine learning algorithms predict ecological responses to climate change, aiding in the proactive management of natural resources. These technological strides enable more effective protection of our planet's biodiversity, fostering a new era of precision conservation that promises to safeguard the intricate tapestry of life on Earth. With reference to the above passage, the following assumptions have been made: 1. Technology has eliminated the need for human intervention in ecological research. 2. Machine learning algorithms have rendered the prediction of ecological responses to climate change foolproof. 3. Genomic technologies have offered fresh observations regarding the factors responsible for making the ecosystem resilient. 4. Recent research in the field of ecology has resulted in a composition of high-resolution data and predictive modelling. Which of the above assumption/s is/are valid?
This question appeared in the HPSC Prelims 2025 examination (CSAT). It is Question 78 out of 200 questions in this paper.
This question was part of the HPSC Prelims 2025 (CSAT). The HPSC Prelims examination tests candidates on general studies, current affairs, and aptitude through multiple-choice questions.
Practice previous year questions from all HPSC Prelims papers and compare patterns with UPSC Prelims PYQ to identify overlapping topics.