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This is especially true for taxonomic groups where the knowledge regarding their distribution and ecology is generally limited, as is the case of insects. This work represents the most accurate and up-to-date publication on the distribution, ecology and environmental niche of the four lucanids found in Portugal. Moreover, it unravels how citizen science initiatives can positively impact conservation planning for flagship species and their taxonomic and functionally related species. Compared to non-citizen science sources, citizen science data increased the known distribution area for all four species (1.6 to 7.2 fold) and confirmed most of the current known species distribution (50.0% to 95.5%). It also expanded the known environmental niche breadth for all species (1.1 to 4.2 fold) and the species suitable modelled habitat (1.1 to 2.1 fold) with very good model performances (AUC\u2009&gt;\u20090.8 and TSS\u2009&gt;\u20090.6). Our results suggest that to improve the conservation of these species, it is paramount to value native forests in Portugal. Management actions to accomplish this might include preserving current native forests and small natural features (such as large old trees) throughout the landscape while simultaneously increasing native forest development. In addition, climate change will affect the species' distribution since all are highly susceptible to specific (bio-)climatic conditions that are expected to change in the next decades. These findings not only enhance our understanding of these species' current distribution but also pave the way for targeted and integrative conservation efforts throughout the country, especially in areas where the (now assessed) ecological niche requirements and habitat availability (either in terms of landscape composition or structure) are met. Guidelines and priorities are discussed on how to implement conservation measures in Portugal following the recently approved European Nature Restoration Law.<\/jats:p>","DOI":"10.1007\/s10531-024-02961-3","type":"journal-article","created":{"date-parts":[[2025,1,18]],"date-time":"2025-01-18T15:07:03Z","timestamp":1737212823000},"page":"793-822","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Conserving saproxylic flagship species by complementing 150\u00a0years of natural history with citizen science data\u2014the case of the stag beetles (Lucanidae, Coleoptera) of Portugal"],"prefix":"10.1007","volume":"34","author":[{"given":"Jo\u00e3o Gon\u00e7alo","family":"Soutinho","sequence":"first","affiliation":[]},{"given":"Jo\u00e3o","family":"Carvalho","sequence":"additional","affiliation":[]},{"given":"Milene","family":"Matos","sequence":"additional","affiliation":[]},{"given":"Jos\u00e9 Manuel","family":"Grosso-Silva","sequence":"additional","affiliation":[]},{"given":"Tatiana C.","family":"Moreira-Pinhal","sequence":"additional","affiliation":[]},{"given":"Carla","family":"Rego","sequence":"additional","affiliation":[]},{"given":"S\u00f3nia","family":"Ferreira","sequence":"additional","affiliation":[]},{"given":"Jo\u00e3o Gon\u00e7alo","family":"Abreu","sequence":"additional","affiliation":[]},{"given":"Ana Rita","family":"Gon\u00e7alves","sequence":"additional","affiliation":[]},{"given":"Helena","family":"Ceia","sequence":"additional","affiliation":[]},{"given":"Carlos","family":"Fonseca","sequence":"additional","affiliation":[]},{"given":"Cristina","family":"Rufino","sequence":"additional","affiliation":[]},{"given":"J\u00f6rg","family":"M\u00fcller","sequence":"additional","affiliation":[]},{"given":"Kerri T.","family":"Vierling","sequence":"additional","affiliation":[]},{"given":"Lee A.","family":"Vierling","sequence":"additional","affiliation":[]},{"given":"Jo\u00e3o","family":"Gon\u00e7alves","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,1,18]]},"reference":[{"key":"2961_CR1","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1016\/j.tree.2006.09.010","volume":"22","author":"MB Ara\u00fajo","year":"2007","unstructured":"Ara\u00fajo MB, New M (2007) Ensemble forecasting of species distributions. 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