2007
DOI: 10.1016/j.biocon.2007.05.009
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Will dragonblood survive the next period of climate change? Current and future potential distribution of Dracaena cinnabari (Socotra, Yemen)

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Cited by 78 publications
(110 citation statements)
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“…IVs were used as dependent variables, while climatic, topographical and geological data, in GRID format with a spatial resolution of 100 m, were used as independent variables. Climatic maps were obtained by interpolating precipitation and temperature data recorded in 10 manual meteorological stations and calculating the average data for the 2000-2008 period (Attorre et al 2007b). Besides mean annual temperature and annual precipitation, a moisture index (Mi) was used.…”
Section: Abundance and Spatial Distributionmentioning
confidence: 99%
“…IVs were used as dependent variables, while climatic, topographical and geological data, in GRID format with a spatial resolution of 100 m, were used as independent variables. Climatic maps were obtained by interpolating precipitation and temperature data recorded in 10 manual meteorological stations and calculating the average data for the 2000-2008 period (Attorre et al 2007b). Besides mean annual temperature and annual precipitation, a moisture index (Mi) was used.…”
Section: Abundance and Spatial Distributionmentioning
confidence: 99%
“…This potential habitat expected to reduce with 45% by 2080 because of a predicted increased aridity. Thereby, increasing permanent settlements and grazing pressure, should also be discouraged [63,64]. More insights are required on the formation mechanism of DB which enables its production in a sustainable way without destroying the endangered trees and environment [65].…”
Section: Future Prospectivesmentioning
confidence: 99%
“…The observations used for the analyses consisted in the presences observed, and also in pseudo-absences. Pseudo-absence data (Zaniewski et al 2002;Engler et al 2004) were generated with the same case-control method as in Attorre et al (2007b). Pseudo-absences were generated because the use of presence data only would have determined overoptimistic predictions of the potential distribution.…”
Section: Regression Models and Potential Distributionmentioning
confidence: 99%