2020
DOI: 10.4995/raet.2020.13946
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Conectividad estructural entre los Páramos de Guacheneque y Los Cristales, complejo Rabanal-río Bogotá, Colombia

Abstract: <p>Structural connectivity is a measure of the spatio-temporal changes that affect the movement of species between elements of the landscape and availability of habitat; these modifications that have been documented for high mountain ecosystems in Colombia (páramo and high Andean forest) and are caused by agricultural and other economic activities that affect their integrity. The objective of this study was to evaluate the dynamics of the changes between plant cover (1987-2018) in the Guacheneque and Los… Show more

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Cited by 2 publications
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“…The spatial configuration of the Hof and Dgnm patches has contributed to the ecological connectivity in Bijagual from 1986 to 2021, evidenced by the contributions of the dPCintra and dPCflux fractions; however, during this period, also natural area loss has occurred, affecting the ecological diversity [34,68,69]. Ecological connectivity in Bijagual decreased noticeably from 2000 to 2021 (Figure 5A).…”
Section: Multitemporal Dimensionmentioning
confidence: 99%
“…The spatial configuration of the Hof and Dgnm patches has contributed to the ecological connectivity in Bijagual from 1986 to 2021, evidenced by the contributions of the dPCintra and dPCflux fractions; however, during this period, also natural area loss has occurred, affecting the ecological diversity [34,68,69]. Ecological connectivity in Bijagual decreased noticeably from 2000 to 2021 (Figure 5A).…”
Section: Multitemporal Dimensionmentioning
confidence: 99%
“…The spatial configuration of the Hof and Dgnm patches has contributed to the ecological connectivity in Bijagual from 1986 to 2021, evidenced by the contributions of the dPCintra and dPCflux fractions; however, during this period, also natural area loss has occurred, affecting the ecological diversity [29,57,58]. Ecological connectivity in Bijagual decreased noticeably from 2000 to 2021 (Figure 3-A).…”
Section: Multitemporal Dimensionmentioning
confidence: 99%