FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3176407743> ?p ?o ?g. }

• W3176407743 abstract "Abstract Background When assessing connectivity, it is crucial to rely on accurate modeling frameworks that consider species movement preferences and patterns. One important aspect is the level of randomness or unpredictability in the route selection. In this respect, traditional approaches (based on least-cost path or circuit theory) consider species movements unrealistically as totally deterministic or as totally random. A recent approach (randomized shortest path) advocates for choosing intermediate levels of randomness through a single parameter. This parameter may be optimized by validating connectivity surfaces developed from different levels of randomness against observed movement data. However, connectivity models are seldom validated, and it is still unclear how to approach this task. To address this knowledge gap, this paper aims at comparing different validation methods to infer the optimal randomness level in connectivity studies. Additionally, we aimed to disentangle the practical consequences of applying traditional connectivity approaches versus using an optimized level of movement randomness when delineating corridors. Methods These objectives were accomplished through the study case of the Iberian lynx, an endangered species whose maintenance and recovery depend on the current connectivity among its population nuclei. We firstly determined a conductance surface based on point selection functions accounting for the behavioral state (territorial or exploratory) of individuals. Secondly, we identified the level of randomness that better fits lynxes’ movements with independent GPS locations and different validation techniques. Lastly, we delineated corridors between lynx population nuclei through a) the randomized shortest path approach and the extreme and optimal levels of randomness of each validation method, and b) the traditional connectivity approaches. Results According to all used validation methodologies, models with intermediate levels of randomness outperformed those with extreme randomness levels representing totally deterministic or random movements. We found differences in the optimal randomness level among validation methods but similar results in the delineation of corridors. Our results also revealed that models with extreme randomness levels (deterministic and random walk) of the randomized path approach provided equivalent corridor networks to those from traditional approaches. Moreover, these corridor networks calculated with traditional approaches showed notable differences in patterns from the corridor network calculated with an optimized randomness level. Conclusions Here we presented a connectivity model with a solid biological basis that calibrates the level of movement randomness and is supported by comprehensive validation methods. It is thus a step forward in the search and evaluation of connectivity approaches that lead to improved, efficient, and successful management actions." @default.
• W3176407743 created "2021-07-05" @default.
• W3176407743 creator A5006553265 @default.
• W3176407743 creator A5032052744 @default.
• W3176407743 creator A5035500384 @default.
• W3176407743 creator A5035501490 @default.
• W3176407743 creator A5081519107 @default.
• W3176407743 date "2021-06-29" @default.
• W3176407743 modified "2023-10-18" @default.
• W3176407743 title "Deterministic, random, or in between? Inferring the randomness level of wildlife movements" @default.
• W3176407743 cites W1506661058 @default.
• W3176407743 cites W1514112405 @default.
• W3176407743 cites W1531207287 @default.
• W3176407743 cites W1937904827 @default.
• W3176407743 cites W1938864253 @default.
• W3176407743 cites W1980768959 @default.
• W3176407743 cites W1981061845 @default.
• W3176407743 cites W1992787050 @default.
• W3176407743 cites W2013368912 @default.
• W3176407743 cites W2023728544 @default.
• W3176407743 cites W2026164540 @default.
• W3176407743 cites W2027327396 @default.
• W3176407743 cites W2065229575 @default.
• W3176407743 cites W2067246077 @default.
• W3176407743 cites W2081387228 @default.
• W3176407743 cites W2085803360 @default.
• W3176407743 cites W2089454337 @default.
• W3176407743 cites W2091202128 @default.
• W3176407743 cites W2096022745 @default.
• W3176407743 cites W2100773656 @default.
• W3176407743 cites W2102470805 @default.
• W3176407743 cites W2103811383 @default.
• W3176407743 cites W2111670491 @default.
• W3176407743 cites W2114708598 @default.
• W3176407743 cites W2115344139 @default.
• W3176407743 cites W2118250433 @default.
• W3176407743 cites W2122597713 @default.
• W3176407743 cites W2128073565 @default.
• W3176407743 cites W2131418421 @default.
• W3176407743 cites W2134924002 @default.
• W3176407743 cites W2144329280 @default.
• W3176407743 cites W2144982504 @default.
• W3176407743 cites W2152636396 @default.
• W3176407743 cites W2161756763 @default.
• W3176407743 cites W2166355300 @default.
• W3176407743 cites W2168354561 @default.
• W3176407743 cites W2182887404 @default.
• W3176407743 cites W2277182818 @default.
• W3176407743 cites W2280479205 @default.
• W3176407743 cites W2284339588 @default.
• W3176407743 cites W2316371504 @default.
• W3176407743 cites W2342438636 @default.
• W3176407743 cites W2443155329 @default.
• W3176407743 cites W2468963236 @default.
• W3176407743 cites W2473866637 @default.
• W3176407743 cites W2560136348 @default.
• W3176407743 cites W2592006046 @default.
• W3176407743 cites W2592694401 @default.
• W3176407743 cites W2607436125 @default.
• W3176407743 cites W2765860228 @default.
• W3176407743 cites W2792563852 @default.
• W3176407743 cites W2797770725 @default.
• W3176407743 cites W2800027185 @default.
• W3176407743 cites W2808577134 @default.
• W3176407743 cites W2923157327 @default.
• W3176407743 cites W2933040057 @default.
• W3176407743 cites W2969769470 @default.
• W3176407743 cites W3008415194 @default.
• W3176407743 cites W3038342921 @default.
• W3176407743 cites W3081920431 @default.
• W3176407743 cites W3136250609 @default.
• W3176407743 cites W4247069731 @default.
• W3176407743 doi "https://doi.org/10.1186/s40462-021-00273-7" @default.
• W3176407743 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8244215" @default.
• W3176407743 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34187578" @default.
• W3176407743 hasPublicationYear "2021" @default.
• W3176407743 type Work @default.
• W3176407743 sameAs 3176407743 @default.
• W3176407743 citedByCount "8" @default.
• W3176407743 countsByYear W31764077432022 @default.
• W3176407743 countsByYear W31764077432023 @default.
• W3176407743 crossrefType "journal-article" @default.
• W3176407743 hasAuthorship W3176407743A5006553265 @default.
• W3176407743 hasAuthorship W3176407743A5032052744 @default.
• W3176407743 hasAuthorship W3176407743A5035500384 @default.
• W3176407743 hasAuthorship W3176407743A5035501490 @default.
• W3176407743 hasAuthorship W3176407743A5081519107 @default.
• W3176407743 hasBestOaLocation W31764077431 @default.
• W3176407743 hasConcept C105795698 @default.
• W3176407743 hasConcept C119857082 @default.
• W3176407743 hasConcept C125112378 @default.
• W3176407743 hasConcept C132525143 @default.
• W3176407743 hasConcept C144024400 @default.
• W3176407743 hasConcept C149923435 @default.
• W3176407743 hasConcept C154945302 @default.
• W3176407743 hasConcept C18903297 @default.
• W3176407743 hasConcept C22590252 @default.
• W3176407743 hasConcept C2908647359 @default.
• W3176407743 hasConcept C2992994097 @default.
• W3176407743 hasConcept C33923547 @default.

• next