PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 13, 2026Scientific Data0 citationsOpen Access

Full-elevational gradient dataset on moth diversity and abundance in a temperate mountain range

OČOldřich ČížekPMPavel MarhoulTKTomáš Kadlec

Key Points

  • The aim is to document moth diversity and abundance across a temperate mountain range and assess ecological impacts.
  • Collected data over nearly a decade (2012-2021)
  • Utilized standardised light traps at 982 localities
  • Measured vegetation characteristics and management regimes
  • Gathered topographical derivatives and ecosystem data from open sources
  • Documented 439 moth species from the Czech Giant Mountains
  • Collected a total of 64,776 moth specimens
  • Revealed spatial and temporal patterns in moth diversity and abundance
  • Provided data for evaluating management practices' effects on moth populations

Abstract

Abstract Climate change is reshaping ecosystems worldwide, yet our ability to quantify its long-term impact across taxa is limited by a lack of reliable and comparable data. Here, we present a systematically collected long-term dataset spanning nearly a decade (2012–2021), documenting the diversity, abundance, and distribution of 439 moth species (Lepidoptera: Heterocera) from the Czech part of the Giant Mountains, a region entirely protected as Krkonoše National Park. Using standardised light traps, we sampled 982 localities across an area of 550 km², yielding a total of 64,776 specimens. Localities are accompanied by in-situ assessments of vegetation characteristics and management regimes, complemented by topographical derivatives and ecosystem information retrieved post-hoc from open spatial data. The dataset provides a valuable resource for investigating spatial and temporal patterns in moth diversity and abundance, as well as for evaluating the effects of different management practices, supporting both basic and applied research.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Čížek et al. (2026) studied this question.

synapsesocial.com/papers/698ebf3485a1ff6a9301666bhttps://doi.org/10.1038/s41597-026-06837-9
Ask AI
Helpful
Bookmark
Share
View Full Paper