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Advisor(s)
Abstract(s)
Human activities and climate change are the main factors causing habitat loss, jeopardising
the survival of many species, especially those with limited range, such as endemic species. Recently,
species distribution models (SDMs) have been used in conservation biology to assess their extinction
risk, environmental dynamics, and potential distribution. This study analyses the potential, current
and future distribution range of Salvia ceratophylloides Ard., an endemic perennial species of the
Lamiaceae family that occurs exclusively in a limited suburban area of the city of Reggio Calabria
(southern Italy). The MaxEnt model was employed to configure the current potential range of the
species using bioclimatic and edaphic variables, and to predict the potential suitability of the habitat
in relation to two future scenarios (SSP245 and SSP585) for the periods 2021–2040 and 2041–2060. The
field survey, which spanned 5 years (2017–2021), involved 17 occurrence points. According to the
results of the MaxEnt model, the current potential distribution is 237.321 km2
, which considering
the preferred substrates of the species and land-use constraints is re-estimated to 41.392 km2
. The
model obtained from the SSP245 future scenario shows a decrease in the area suitable for the
species of 35% in the 2021–2040 period and 28% in the 2041–2060 period. The SSP585 scenario
shows an increase in the range suitable for hosting the species of 167% in the 2021–2040 period
and 171% in the 2041–2060 period. Assessing variation in the species distribution related to the
impacts of climate change makes it possible to define priority areas for reintroduction and in situ
conservation. Identifying areas presumably at risk or, on the contrary, suitable for hosting the species
is of paramount importance for management and conservation plans for Salvia ceratophylloides.
Description
Keywords
Conservation Calabria Climate changes Endangered species Italy MaxEnt SSP245 SSP585 Vascular plants
Citation
Land 12 (1): 247 (2023)
Publisher
MDPI