This week’s environment and conservation news stories rolled into one.
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Algorithm identifies landslide movements making them easier to predict
Indian researchers have created an algorithm that provides a 80-94% accuracy in identifying landslide movement.
Rising above the waters with musk melon
Farmers near Gandhisagar dam have adapted to seasonal flooding by cultivating musk melon, which thrives in summer and yields high revenue from seed sales.
Heat wave hits earnings, health of auto rickshaw drivers
Delhi’s auto rickshaw drivers face reduced work hours owing to school shutdowns, a shift towards AC cabs, and avoidance of peak heat wave periods by customers.
The forgotten victims of Maharashtra’s 2019 floods
Mongabay-India is collaborating with Asar and BaiManus Media Research Centre, under Project Dharitri to highlight climate and gender issues.
The first story focuses on the 2019 floods in Maharashtra’s Sangli district which caused significant loss of life and livelihood. Persons with disabilities faced heightened challenges, highlighting the urgent need for inclusive disaster management strategies.
GI tags protect Indian tradition amid impacts of climate change, biodiversity loss
Climate change threaten many GI-tagged products in India, highlighting the need for their sustainable conservation practices.
[Explainer] How are species named?
The Linnaean or binomial system of nomenclature for naming organisms has been in use for over 200 years and is a cornerstone of taxonomy.
Kashmiri willow steps up to the crease and swings for recognition
Cricket has deep roots in Kashmir. The region’s rich history of bat manufacturing, dating back to the 19th century, contributes significantly to the local economy and culture.
The Kashmiri cricket bat industry faces challenges in maintaining quality due to difficulties in identifying the true cricket bat willow variety.
Eurasian lynx recorded in Kargil, better conservation steps needed
This new evidence confirms the species’ presence in Western Ladakh, but the population remains scanty.
