Genetic monitoring as a promising tool for conservation and management.
By M. D. Schwartz, Gordon Luikart, Robin S. Waples. Trends in Ecology & Evolution, 2007
1,216 citations recorded by the source corpus.
Subfields: Genetics, Management, Monitoring, Policy and Law
View Paper: https://www.semanticscholar.org/paper/1f33f7073f095f001f821a4555fe675d42c89779
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Genetics
- F. Allendorf
- C. Do
- Robin S. Waples
- Gordon Luikart
- J. Ovenden
- David A. Tallmon
- M. D. Schwartz
- L. Waits
In Management, Monitoring, Policy and Law
Citations in the corpus
- Comparison of noninvasive genetic and camera-trapping techniques for surveying snow leopards (2011, background): “Examination of genetic data also can offer invaluable insight into relatedness, dispersal, population structure, and landscape connectivity (Schwartz et al. 2007), which is critical for conservation planning.”
- Estimation of census and effective population sizes: the increasing usefulness of DNA-based approaches (2010, background): “As more organizations look to genetic data for monitoring natural populations (Schwartz et al. 2007) it becomes important understand the relative power and reliability of both NC and Ne in detecting population declines.”
- Conservation genetics in a globally changing environment: present problems, paradoxes and future challenges (2007, methodology): “In most studies, low genetic variability and low Ne are explained by population bottlenecks, founder eVects or Xuctuations in population sizes as the main determinants (Caballero 1994; Whitlock and Barton 1997), however, another important factor which should be more frequently considered is the vari”
- Two roles for ecological surrogacy: Indicator surrogates and management surrogates (2016, background): “Genetic metrics have a steadily growing role as indicator surrogates through genetic 226 monitoring (Schwartz et al. 2007), especially in relation to genetic erosion (Hoban et al. 2014), 227 effective population size (Tallmon et al. 2012), and landscape connectivity (Baguette et al. 228 2013).”
- Identification of management units using population genetic data. (2007, background): “The identification of MUs is central to the short-term management and conservation of natural populations and is typically used to delineate entities for monitoring [ 1 ] and regulating the effects of human activity upon the abundance of populations and species.”
- Ocean's eleven: a critical evaluation of the role of population, evolutionary and molecular genetics in the management of wild fisheries (2015, background): “Genetic effective population size is part of a suite of methods available for genetic monitoring for management and conservation (Schwartz et al. 2006; Tallmon et al. 2010).”
- The reintroduction of the Eurasian otter (Lutra lutra) into the Netherlands: hidden life revealed by noninvasive genetic monitoring (2010, methodology): “quantifying temporal changes in population metrics or other population data generated using molecular markers, is becoming increasingly important for monitoring the consequences of anthropogenic change on wild species (Allendorf and Luikart 2006; Schwartz et al. 2007; Wayne and Morin 2004).”
- Population monitoring of snow leopards using noninvasive collection of scat samples: a pilot study (2008, background): “Molecular methods incorporating noninvasive sampling via the collection of scats or hairs have become common for population monitoring of carnivores (Taberlet, Waits & Luikart, 1999; Piggott & Taylor, 2003; Waits & Paetkau, 2005; Schwartz et al., 2007).”
- Efficient, Noninvasive Genetic Sampling for Monitoring Reintroduced Wolves (2010, methodology): “We conducted sex identification for all consensus genotypes using the primers and protocol of Seddon (2005).”
- Evaluating population connectivity for species of conservation concern in the American Great Plains (2013, neutral): “is likely that unconventional monitoring techniques involving non-invasive genetic sampling will be required if such efforts are to be feasibly implements (Schwartz et al. 2007).”
- Comparing opportunistic and systematic sampling methods for non‐invasive genetic monitoring of a small translocated brown bear population (2010, methodology): “In this context, an adaptive management approach that allows flexibility is recommended (Nichols & Williams 2006; Schwartz et al. 2007).”