FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2099051105> ?p ?o ?g. }

• W2099051105 endingPage "3180" @default.
• W2099051105 startingPage "3166" @default.
• W2099051105 abstract "The Amur tiger (Panthera tigris altaica) is a flagship species of the boreal forest ecosystem in northeastern China and Russia Far East. During the past century, the tiger population has declined sharply from more than 3000 to fewer than 600 individuals, and its habitat has become much smaller and greatly fragmented. Poaching, habitat degradation, habitat loss, and habitat fragmentation have been widely recognized as the primary causes for the observed population decline. Using a population viability analysis tool (RAMAS/GIS), we simulated the effects of poaching, habitat degradation, habitat loss, and habitat fragmentation on the population dynamics and extinction risk of the Amur tiger, and then explored the relative effectiveness of three conservation strategies involving improving habitat quality and establishing movement corridors in China and Russia. A series of controlled simulation experiments were performed based on the current spatial distribution of habitat and field-observed vital rates. Our results showed that the Amur tiger population could be viable for the next 100 years if the current habitat area and quality were well-maintained, with poaching strictly prohibited of the tigers and their main prey species. Poaching and habitat degradation (mainly prey scarcity) had the largest negative impacts on the tiger population persistence. While the effect of habitat loss was also substantial, habitat fragmentation per se had less influence on the long-term fate of the tiger population. However, to sustain the subpopulations in both Russia and China would take much greater conservation efforts. The viability of the Chinese population of tigers would rely heavily on its connectivity with the largest patch on the other side of the border. Improving the habitat quality of small patches only or increasing habitat connectivity through movement corridors alone would not be enough to guarantee the long-term population persistence of the Amur tiger in both Russia and China. The only conservation strategy that allowed for long-term persistence of tigers in both countries required both the improvement of habitat quality and the establishment of a transnational reserve network. Our study provides new insights into the metapopulation dynamics and persistence of the Amur tiger, which should be useful in landscape and conservation planning for protecting the biggest cat species in the world." @default.
• W2099051105 created "2016-06-24" @default.
• W2099051105 creator A5005847540 @default.
• W2099051105 creator A5029606359 @default.
• W2099051105 creator A5070694036 @default.
• W2099051105 creator A5072777867 @default.
• W2099051105 creator A5080078884 @default.
• W2099051105 creator A5089751255 @default.
• W2099051105 date "2011-09-01" @default.
• W2099051105 modified "2023-09-28" @default.
• W2099051105 title "Population viability of the Siberian Tiger in a changing landscape: Going, going and gone?" @default.
• W2099051105 cites W1498298311 @default.
• W2099051105 cites W1869680905 @default.
• W2099051105 cites W1972214396 @default.
• W2099051105 cites W1973262075 @default.
• W2099051105 cites W1988120095 @default.
• W2099051105 cites W1988684830 @default.
• W2099051105 cites W1994138875 @default.
• W2099051105 cites W2003509608 @default.
• W2099051105 cites W2010750915 @default.
• W2099051105 cites W2011778486 @default.
• W2099051105 cites W2022294927 @default.
• W2099051105 cites W2027876336 @default.
• W2099051105 cites W2042748410 @default.
• W2099051105 cites W2049873744 @default.
• W2099051105 cites W2061781733 @default.
• W2099051105 cites W2076948552 @default.
• W2099051105 cites W2082056632 @default.
• W2099051105 cites W2094154204 @default.
• W2099051105 cites W2098021720 @default.
• W2099051105 cites W2099610782 @default.
• W2099051105 cites W2117139598 @default.
• W2099051105 cites W2118028160 @default.
• W2099051105 cites W2125434320 @default.
• W2099051105 cites W2129933531 @default.
• W2099051105 cites W2132068163 @default.
• W2099051105 cites W2133267571 @default.
• W2099051105 cites W2140016451 @default.
• W2099051105 cites W2149234828 @default.
• W2099051105 cites W2149752076 @default.
• W2099051105 cites W2149948870 @default.
• W2099051105 cites W2154927764 @default.
• W2099051105 cites W2162125068 @default.
• W2099051105 cites W2180694833 @default.
• W2099051105 cites W2180905155 @default.
• W2099051105 cites W2528238904 @default.
• W2099051105 cites W3142112479 @default.
• W2099051105 doi "https://doi.org/10.1016/j.ecolmodel.2011.06.003" @default.
• W2099051105 hasPublicationYear "2011" @default.
• W2099051105 type Work @default.
• W2099051105 sameAs 2099051105 @default.
• W2099051105 citedByCount "50" @default.
• W2099051105 countsByYear W20990511052013 @default.
• W2099051105 countsByYear W20990511052014 @default.
• W2099051105 countsByYear W20990511052015 @default.
• W2099051105 countsByYear W20990511052016 @default.
• W2099051105 countsByYear W20990511052017 @default.
• W2099051105 countsByYear W20990511052018 @default.
• W2099051105 countsByYear W20990511052019 @default.
• W2099051105 countsByYear W20990511052020 @default.
• W2099051105 countsByYear W20990511052021 @default.
• W2099051105 countsByYear W20990511052022 @default.
• W2099051105 countsByYear W20990511052023 @default.
• W2099051105 crossrefType "journal-article" @default.
• W2099051105 hasAuthorship W2099051105A5005847540 @default.
• W2099051105 hasAuthorship W2099051105A5029606359 @default.
• W2099051105 hasAuthorship W2099051105A5070694036 @default.
• W2099051105 hasAuthorship W2099051105A5072777867 @default.
• W2099051105 hasAuthorship W2099051105A5080078884 @default.
• W2099051105 hasAuthorship W2099051105A5089751255 @default.
• W2099051105 hasConcept C124886560 @default.
• W2099051105 hasConcept C144024400 @default.
• W2099051105 hasConcept C149923435 @default.
• W2099051105 hasConcept C185933670 @default.
• W2099051105 hasConcept C188382862 @default.
• W2099051105 hasConcept C18903297 @default.
• W2099051105 hasConcept C205649164 @default.
• W2099051105 hasConcept C24784978 @default.
• W2099051105 hasConcept C2776217272 @default.
• W2099051105 hasConcept C2778611284 @default.
• W2099051105 hasConcept C2779860289 @default.
• W2099051105 hasConcept C2908647359 @default.
• W2099051105 hasConcept C29376679 @default.
• W2099051105 hasConcept C38652104 @default.
• W2099051105 hasConcept C41008148 @default.
• W2099051105 hasConcept C505870484 @default.
• W2099051105 hasConcept C64229544 @default.
• W2099051105 hasConcept C86803240 @default.
• W2099051105 hasConcept C91451191 @default.
• W2099051105 hasConceptScore W2099051105C124886560 @default.
• W2099051105 hasConceptScore W2099051105C144024400 @default.
• W2099051105 hasConceptScore W2099051105C149923435 @default.
• W2099051105 hasConceptScore W2099051105C185933670 @default.
• W2099051105 hasConceptScore W2099051105C188382862 @default.
• W2099051105 hasConceptScore W2099051105C18903297 @default.
• W2099051105 hasConceptScore W2099051105C205649164 @default.
• W2099051105 hasConceptScore W2099051105C24784978 @default.
• W2099051105 hasConceptScore W2099051105C2776217272 @default.

• next