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<metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/"><dc:title>Quantifying trade-offs between sampling effort and biodiversity detection to optimize cave monitoring design</dc:title><dc:creator>Fišer,	Cene	(Avtor)
	</dc:creator><dc:creator>Di Batista Borko,	Špela	(Avtor)
	</dc:creator><dc:creator>Benko,	Grega	(Avtor)
	</dc:creator><dc:creator>Bračko,	Gregor	(Avtor)
	</dc:creator><dc:creator>Delić,	Teo	(Avtor)
	</dc:creator><dc:creator>Kos,	Anja	(Avtor)
	</dc:creator><dc:creator>Premate,	Ester	(Avtor)
	</dc:creator><dc:creator>Pekolj,	Anja	(Avtor)
	</dc:creator><dc:creator>Rexhepi,	Behare	(Avtor)
	</dc:creator><dc:creator>Zakšek,	Valerija	(Avtor)
	</dc:creator><dc:creator>Zagmajster,	Maja	(Avtor)
	</dc:creator><dc:subject>biological monitoring</dc:subject><dc:subject>caves</dc:subject><dc:subject>Natura 2000</dc:subject><dc:subject>sampling</dc:subject><dc:subject>troglobionts</dc:subject><dc:description>Reliable biodiversity indicators require sampling designs that balance detection performance and feasibility. Subterranean ecosystems are particularly challenging due to inaccessibility and spatial complexity, and quantitative guidance on sampling strategy is limited. We quantified trade-offs between sampling effort and biodiversity detection to optimize cave monitoring design. Using three caves that provide access to the same geologically connected subterranean system in central Slovenia, we established a reference inventory of obligate subterranean species (troglobionts) through year-round spatially and temporally replicated sampling. We then evaluated 2511 alternative sub-sampling schemes derived from the full design to assess how reduced effort affects detection performance. A total of 118 taxa were recorded, including 21 troglobionts. Rarefaction analyses indicate that the regional troglobiont pool was fully captured by the complete sampling design. Sub-sampling analyses show that only a limited number of scheme combinations reliably detected ≥90% of reference troglobiont species. However, high detection performance can be maintained with substantially reduced effort when spatial replication, seasonal coverage, and complementary sampling methods are retained. By explicitly linking sampling effort to detection proportion relative to a reference baseline, this study provides a quantitative framework for evaluating and optimizing biodiversity monitoring designs. The approach is applicable to other spatially fragmented or difficult-to-survey ecosystems where efficient indicator performance is required under logistical constraints.</dc:description><dc:date>2026</dc:date><dc:date>2026-10-05 13:24:19</dc:date><dc:type>Članek v reviji</dc:type><dc:identifier>189399</dc:identifier><dc:identifier>UDK: 591.5</dc:identifier><dc:identifier>ISSN pri članku: 1872-7034</dc:identifier><dc:identifier>DOI: 10.1016/j.ecolind.2026.115562</dc:identifier><dc:identifier>COBISS_ID: 293379587</dc:identifier><dc:language>sl</dc:language></metadata>
