气候变化领域集成服务门户(CCPortal): DISTRIBUTION MODELLING OF THE CAUCASIAN ENDEMIC FRITILLARIA LATIFOLIA AGAINST THE BACKGROUND OF CLIMATE CHANGE

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DOI	10.24189/ncr.2024.005
	DISTRIBUTION MODELLING OF THE CAUCASIAN ENDEMIC FRITILLARIA LATIFOLIA AGAINST THE BACKGROUND OF CLIMATE CHANGE
	Pshegusov, Rustam H.; Chadaeva, Victoria A.
发表日期	2024
ISSN	2500-008X
起始页码	9
结束页码	1
卷号	9 期号:1
英文摘要	Current climate change, habitat degradation, pastoralism, shoot and bulb harvesting pose serious threats to the rare Caucasian endemic Fritillaria latifolia throughout its range. Knowledge of the limiting factors, species range dynamics in relation to climate change and the role of Protected Areas in species distribution are necessary to develop an effective conservation system at present and in the future. This was aimed (1) to determine the most suitable set of abiotic predictors for modelling Fritillaria latifolia localisation, (2) to formalise environmental and anthropogenic factors in species distribution models, (3) to predict the possible changes in the species range in relation to climatic changes, (4) to identify refugia with a consistently high probability of the species occurrence despite climatic changes. We applied Maxent software for species habitat modelling to build current and climatic models of the Fritillaria latifolia distribution, considering the abiotic variables and anthropogenic predictors such as the distance to Protected Areas and grasslands. Distances to anthropogenic infrastructure were calculated with the Path Distance measure considering the horizontal straight-line distance, surface distance and vertical factor. We also formalised the area accessibility (movement factor) through the distance to optimal sites (plots with 0.8 threshold of habitat suitability), where the probability of species occurrence was higher than 0.5. The most important abiotic variables in the species distribution were the Emberger's pluviothermic quotient, with optimal values corresponding to humid and perhumid climates, and the terrain roughness index, with optimal values ranging from nearly level (81-116) to intermediately rugged (162-239) slopes. Distance to Protected Areas (0-1 km) was the third important predictor of the Fritillaria latifolia current distribution, while the distance to grasslands contributed less to the model. The distance of suitable areas from optimal habitats (area accessibility) was 15 km. The species current core ranges are localised in the Western and Central Caucasus, Western and Central Transcaucasia, and the northwestern ridges of the Lesser Caucasus within a network of Protected Areas covering most of the highlands. The optimistic socio-economic pathway SSP1-2.6 predicted a 1.6 -fold decrease in the area of species optimal habitats from 2021 to 2100. The pessimistic SSP5-8.5 scenario predicted 122 -fold habitat area reduction. According to SSP1-2.6 climatic models, by 2100 the refugia area would be 172.4 km2 in the highlands of the western and central parts of the Greater Caucasus, including the Caucasus State Nature Reserve and Teberda National Park. These areas should be prioritised for the conservation of Fritillaria latifolia populations.
英文关键词	Biotic-Abiotic-Movement concept; Maxent; Protected Area; refugia; socio-economic pathways
语种	英语
WOS研究方向	Biodiversity & Conservation
WOS类目	Biodiversity Conservation
WOS记录号	WOS:001162995300002
来源期刊	NATURE CONSERVATION RESEARCH
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/289012
作者单位	Tembotov Institute of Ecology of Mountain Territories of Russian Academy of Sciences; Russian Academy of Sciences
推荐引用方式 GB/T 7714	Pshegusov, Rustam H.,Chadaeva, Victoria A.. DISTRIBUTION MODELLING OF THE CAUCASIAN ENDEMIC FRITILLARIA LATIFOLIA AGAINST THE BACKGROUND OF CLIMATE CHANGE[J],2024,9(1).
APA	Pshegusov, Rustam H.,&Chadaeva, Victoria A..(2024).DISTRIBUTION MODELLING OF THE CAUCASIAN ENDEMIC FRITILLARIA LATIFOLIA AGAINST THE BACKGROUND OF CLIMATE CHANGE.NATURE CONSERVATION RESEARCH,9(1).
MLA	Pshegusov, Rustam H.,et al."DISTRIBUTION MODELLING OF THE CAUCASIAN ENDEMIC FRITILLARIA LATIFOLIA AGAINST THE BACKGROUND OF CLIMATE CHANGE".NATURE CONSERVATION RESEARCH 9.1(2024).