2020
DOI: 10.1371/journal.pone.0228420
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Is the lady's-slipper orchid (Cypripedium calceolus) likely to shortly become extinct in Europe?—Insights based on ecological niche modelling

Abstract: Lady's-slipper orchid (Cypripedium calceolus) is considered an endangered species in most countries within its geographical range. The main reason for the decline in the number of populations of this species in Europe is habitat destruction. In this paper the ecological niche modelling approach was used to estimate the effect of future climate change on the area of niches suitable for C. calceolus. Predictions of the extent of the potential range of this species in 2070 were made using climate projections obta… Show more

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Cited by 33 publications
(32 citation statements)
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“…The degree of effectiveness of the Natura 2000 network was explored using the published results of Kolanowska and Jakubska-Busse [ 15 ] regarding the current and future potential distribution of Cypripedium calceolus . Specifically, in their study Kolanowska and Jakubska-Busse [ 15 ] used maximum entropy techniques [ 31 , 32 , 33 ] to predict the potential distribution of this orchid.…”
Section: Methodsmentioning
confidence: 99%
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“…The degree of effectiveness of the Natura 2000 network was explored using the published results of Kolanowska and Jakubska-Busse [ 15 ] regarding the current and future potential distribution of Cypripedium calceolus . Specifically, in their study Kolanowska and Jakubska-Busse [ 15 ] used maximum entropy techniques [ 31 , 32 , 33 ] to predict the potential distribution of this orchid.…”
Section: Methodsmentioning
confidence: 99%
“…The degree of effectiveness of the Natura 2000 network was explored using the published results of Kolanowska and Jakubska-Busse [ 15 ] regarding the current and future potential distribution of Cypripedium calceolus . Specifically, in their study Kolanowska and Jakubska-Busse [ 15 ] used maximum entropy techniques [ 31 , 32 , 33 ] to predict the potential distribution of this orchid. They used 12 bioclimatic variables (bio1: annual mean temperature; bio2: mean diurnal range; bio3: isothermality; bio4: temperature seasonality; bio5: max temperature of warmest month; bio8: mean temperature of wettest quarter; bio12: annual precipitation; bio13: precipitation of wettest month; bio14: precipitation of driest month; bio15: precipitation seasonality; bio18: precipitation of warmest quarter; bio19: precipitation of coldest quarter) at a spatial resolution of 2.5 min (approximately 22 km), and their predictions were based on the Community Climate System Model (CCSM4) for the year 2070, using four available representative concentration pathways (RCPs: rcp2.6, rcp4.5, rcp6.0 and rcp8.5).…”
Section: Methodsmentioning
confidence: 99%
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