<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Biodiversity on Daniele De Martini</title><link>https://danieledema.github.io/tags/biodiversity/</link><description>Recent content in Biodiversity on Daniele De Martini</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 06 Dec 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://danieledema.github.io/tags/biodiversity/index.xml" rel="self" type="application/rss+xml"/><item><title>Biodiversity research requires more motors in air, water and on land</title><link>https://danieledema.github.io/publications/20251206-biodiversity_robots/</link><pubDate>Sat, 06 Dec 2025 00:00:00 +0000</pubDate><guid>https://danieledema.github.io/publications/20251206-biodiversity_robots/</guid><description>Abstract Human activities have accelerated species extinctions, driving rapid biodiversity decline. Simultaneously, advancements in Artificial Intelligence (AI) and autonomous systems offer transformative potential for biodiversity research. Uncrewed vehicles—drones (aerial systems) and other robots (ground and underwater platforms)—equipped with high‐resolution sensors enhance ecosystem monitoring with unprecedented efficiency and scale.
Ecologists must examine how these technological advancements can be used to monitor, understand and protect ecosystems more effectively. Here, we review studies published in Web of Science (1930–2023) using uncrewed vehicles for ecological monitoring and explore how these applications could be extended to further biodiversity research.</description></item></channel></rss>