A new habitat availability index to integrate connectivity in landscape conservation planning : Comparison with existing indices and application to a case study
By Santiago Saura, Lucía Pascual-Hortal. 2007
1,135 citations recorded by the source corpus.
Subfields: Ecology
View Paper: https://www.semanticscholar.org/paper/be9f655ad70f871114f93c1aeee29339d36ff252
How researchers see this paper
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In Ecology
- Marie-Josée Fortin
- Santiago Saura
- Ö. Bodin
- L. Rubio
- S. R. Floeter
- C. E. Ferreira
- A. C. Martensen
- A. O’Dea
Citations in the corpus
- Spatio‐temporal connectivity: assessing the amount of reachable habitat in dynamic landscapes (2017, methodology): “…PCst fractions, andECAstwe: (i) Account for the essential and auxiliary links, and for the different types of paths, i.e. direct and indirect (Tables 1 and 2), as quantified through the maximum product probability paths (Saura & Pascual-Hortal 2007; Saura & Rubio 2010) in the PC metric (here PCst).”
- A common currency for the different ways in which patches and links can contribute to habitat availability and connectivity in the landscape (2010, methodology): “…of the variation in PC (dPCk) caused by the removal of each individual element from the landscape (Keitt et al. 1997, Urban and Keitt 2001, Saura and Pascual-Hortal 2007): dPCk 100 PC PCremove ;k PC 100 DPCk PC (2) where dPCk is the importance of element k for the maintenance of overall…”
- Targeting and evaluating biodiversity conservation action within fragmented landscapes: an approach based on generic focal species and least-cost networks (2010, methodology): “The connectivity indicator, based on a hybrid Incidence Function Model (IFM) in line with the approach proposed by Saura and Pascual-Hortal (2007), calculates both within and between patch connectivity.”
- A blueprint for securing Brazil's marine biodiversity and supporting the achievement of global conservation goals (2020, methodology): “Thus, we calculated the individual reef-based habitat contribution for connectivity (ΔPC) using an individual habitat removal experiment (Saura & Pascual-Hortal, 2007).”
- Statistical approaches in landscape genetics: an evaluation of methods for linking landscape and genetic data (2009, background): “Thus, connectivity indices may not be appropriate and effective for all data sets, but certainly have potential for landscape genetics, because they can include additional information such as patch or population sizes, habitat quality or carrying capacities (Saura and Pascual-Hortal 2007).”
- Connectivity for conservation: a framework to classify network measures. (2011, methodology): “At its base, the area of connected habitat considers the area inside a patch of habitat as a space where connectivity occurs in addition to inter-patch movements (Hanski 1999a, Pascual-Hortal and Saura 2006).”
- The flickering connectivity system of the north Andean páramos (2019, methodology): “The metric assigns a value to each páramo island representing its contribution in maintaining the overall connectivity of the páramo biome (Saura & Pascual-Hortal, 2007; Saura et al., 2011).”
- Construction and optimization of an ecological network based on morphological spatial pattern analysis and circuit theory (2020, methodology): “Therefore, the scale of the cell size of 30 m 9 30 m preserved the main landscape elements of the study area to meet the data accuracy requirements for the research (Pascual-Hortal and Saura 2007).”
- Ranking individual habitat patches as connectivity providers: Integrating network analysis and patch removal experiments (2010, background): “connectivity (PC) (Saura and Pascual-Hortal, 2007) and integral index of connectivity (IIC) (Pascual-Hortal and Saura, 2006), and the network centrality metric betweenness centrality (BC) (Freeman, 1977; Bodin and Norberg, 2007).”
- Conefor Sensinode 2.2: A software package for quantifying the importance of habitat patches for landscape connectivity (2009, methodology): “…for a species may be low if habitat patches are poorly connected, but also if the habitat is highly scarce even if the patches are highly connected, as quantified through metrics like the integral index of connectivity or the probability of connectivity (Saura and Pascual-Hortal, 2007).”