Matches in SemOpenAlex for { <https://semopenalex.org/work/W3085286085> ?p ?o ?g. }
- W3085286085 endingPage "108770" @default.
- W3085286085 startingPage "108770" @default.
- W3085286085 abstract "Emerging global change stressors have underlined the importance of informing conservation decisions with molecular diversity, particularly including intraspecific adaptive or evolutionary potential across species and populations. Population-level evolutionary potential is best captured by genomic approaches, yet these data types mostly remain limited to model organisms. In contrast, traditional genetic data are broadly available. The relevance of genomic metrics, and how they differ from genetic metrics in the context of spatial conservation practices, remains unknown. This provides an opportunity to consider the relative contribution and impact of genomic compared to genetic metrics in their efficiency of selecting conservation areas of evolutionary importance. Here, we provide a guideline to include metrics of genetic and genomic variation into spatial planning analyses for multiple conservation objectives, and empirically explore how spatial prioritizations change when including different types of molecular information across multiple species. Specifically, we compare conservation solutions of scenarios including either an increase in molecular information (i.e. either a single locus; mtDNA, or several thousand loci; SNPs), or an increase in species included. We find that including less molecular information from many species leads to similar outcomes to including more molecular information from fewer species. Our work suggests that multi-species genetic data may be a cost- and time-effective surrogate for genomic data in spatial planning." @default.
- W3085286085 created "2020-09-21" @default.
- W3085286085 creator A5049818092 @default.
- W3085286085 creator A5069778397 @default.
- W3085286085 creator A5075393472 @default.
- W3085286085 creator A5077181996 @default.
- W3085286085 date "2020-11-01" @default.
- W3085286085 modified "2023-10-18" @default.
- W3085286085 title "A comparison of genetic and genomic approaches to represent evolutionary potential in conservation planning" @default.
- W3085286085 cites W1573653874 @default.
- W3085286085 cites W1642038293 @default.
- W3085286085 cites W1906844634 @default.
- W3085286085 cites W1911940415 @default.
- W3085286085 cites W1925092668 @default.
- W3085286085 cites W1945387307 @default.
- W3085286085 cites W1977583661 @default.
- W3085286085 cites W2007855561 @default.
- W3085286085 cites W2022519374 @default.
- W3085286085 cites W2028256931 @default.
- W3085286085 cites W2032412396 @default.
- W3085286085 cites W2032746347 @default.
- W3085286085 cites W2039285362 @default.
- W3085286085 cites W2040057823 @default.
- W3085286085 cites W2074395147 @default.
- W3085286085 cites W2076440106 @default.
- W3085286085 cites W2093016244 @default.
- W3085286085 cites W2099269327 @default.
- W3085286085 cites W2101937073 @default.
- W3085286085 cites W2102356204 @default.
- W3085286085 cites W2104636186 @default.
- W3085286085 cites W2105429491 @default.
- W3085286085 cites W2113291597 @default.
- W3085286085 cites W2114092811 @default.
- W3085286085 cites W2118569430 @default.
- W3085286085 cites W2121669472 @default.
- W3085286085 cites W2122286614 @default.
- W3085286085 cites W2124017181 @default.
- W3085286085 cites W2124146565 @default.
- W3085286085 cites W2124532543 @default.
- W3085286085 cites W2126993534 @default.
- W3085286085 cites W2128663049 @default.
- W3085286085 cites W2128732347 @default.
- W3085286085 cites W2130234812 @default.
- W3085286085 cites W2131346206 @default.
- W3085286085 cites W2132297696 @default.
- W3085286085 cites W2137527650 @default.
- W3085286085 cites W2148178351 @default.
- W3085286085 cites W2153666508 @default.
- W3085286085 cites W2156327234 @default.
- W3085286085 cites W2157296800 @default.
- W3085286085 cites W2161279041 @default.
- W3085286085 cites W2165235006 @default.
- W3085286085 cites W2165382369 @default.
- W3085286085 cites W2166323890 @default.
- W3085286085 cites W2169636154 @default.
- W3085286085 cites W2170428532 @default.
- W3085286085 cites W2171570070 @default.
- W3085286085 cites W2182189999 @default.
- W3085286085 cites W2206895195 @default.
- W3085286085 cites W2272177341 @default.
- W3085286085 cites W2323462937 @default.
- W3085286085 cites W2396849069 @default.
- W3085286085 cites W2465782434 @default.
- W3085286085 cites W2480383776 @default.
- W3085286085 cites W2485711606 @default.
- W3085286085 cites W2505284104 @default.
- W3085286085 cites W2514921635 @default.
- W3085286085 cites W2519552481 @default.
- W3085286085 cites W2548588839 @default.
- W3085286085 cites W2560543826 @default.
- W3085286085 cites W2569487581 @default.
- W3085286085 cites W2604836185 @default.
- W3085286085 cites W2623819953 @default.
- W3085286085 cites W2765762279 @default.
- W3085286085 cites W2766156978 @default.
- W3085286085 cites W2785694006 @default.
- W3085286085 cites W2786123306 @default.
- W3085286085 cites W2801569781 @default.
- W3085286085 cites W2885514334 @default.
- W3085286085 cites W2888672034 @default.
- W3085286085 cites W2903857128 @default.
- W3085286085 cites W2930808060 @default.
- W3085286085 cites W2949810955 @default.
- W3085286085 cites W2973795994 @default.
- W3085286085 cites W2975461072 @default.
- W3085286085 cites W3009684153 @default.
- W3085286085 doi "https://doi.org/10.1016/j.biocon.2020.108770" @default.
- W3085286085 hasPublicationYear "2020" @default.
- W3085286085 type Work @default.
- W3085286085 sameAs 3085286085 @default.
- W3085286085 citedByCount "16" @default.
- W3085286085 countsByYear W30852860852021 @default.
- W3085286085 countsByYear W30852860852022 @default.
- W3085286085 countsByYear W30852860852023 @default.
- W3085286085 crossrefType "journal-article" @default.
- W3085286085 hasAuthorship W3085286085A5049818092 @default.
- W3085286085 hasAuthorship W3085286085A5069778397 @default.
- W3085286085 hasAuthorship W3085286085A5075393472 @default.