2006
DOI: 10.1007/s10980-006-0013-z
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Comparison and development of new graph-based landscape connectivity indices: towards the priorization of habitat patches and corridors for conservation

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Cited by 656 publications
(539 citation statements)
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“…Based on TM remote sensing image data and topographic map data, we determined the different landscape resistance values by investigating the vegetation of different land use types and human disturbance degree. We also referred others previous research results by PascualHortal andSaura. (2011) andLiu, et al (2010).…”
Section: Corridors Selection Processmentioning
confidence: 71%
“…Based on TM remote sensing image data and topographic map data, we determined the different landscape resistance values by investigating the vegetation of different land use types and human disturbance degree. We also referred others previous research results by PascualHortal andSaura. (2011) andLiu, et al (2010).…”
Section: Corridors Selection Processmentioning
confidence: 71%
“…For instance, oil well-driven landscape fragmentation has limited the habitat availability for area sensitive species, the redcrown crane (Grus japonensis), one of the state-listed endangered birds in this delta (Cao and Liu, 2007). Wetland habitat fragmentation or loss has increased the distances between desirable habitat (resource) patches and lead to impairment of patch connectivity, constraining the movements of individuals and hampering the conservation of this population (Pascual-Hortal and Saura, 2006;Yue et al, 2003). Therefore, stronger efforts focusing on oil well development within and near protected areas are needed.…”
Section: Discussionmentioning
confidence: 99%
“…Graph theory provides a powerful way to represent complex landscape patterns and perform advanced connectivity analyses. In graph theory, habitat patches are considered as nodes, and connections among them as edges, allowing investigations of a habitat network using graph techniques (Urban and Keitt 2001;Pascual-Hortal and Saura 2006). Connectivity measures based on graph theory can assess both structural and functional connectivity.…”
Section: Open Settlements 99mentioning
confidence: 99%
“…Therefore, it is important to highlight sources of possible uncertainties (including data and software uncertainties; Lehman and Ramil 2002;Lechner et al 2013;de Rigo 2013) in connectivity assessments and their consequences in order to give practitioners more guidance on how to assess connectivity to inform conservation planning. Uncertainties in connectivity assessments focused on connectivity measures and their behavior in response to variation in landscape structure were widely discussed (e.g., Goodwin and Fahrig 2002;Pascual-Hortal and Saura 2006;Saura and Pascual-Hortal 2007a;Baranyi et al 2011). As a result, limitations of many available connectivity measures have been indicated, together with practical solutions and recommendations on best performing ones.…”
Section: Introductionmentioning
confidence: 99%