The decline of amphibians has been of international concern for more than two decades, and the global spread of introduced fauna is a major factor in this decline. Conservation management decisions to implement control of introduced fauna are often based on diet studies. One of the most common metrics to report in diet studies is Frequency of Occurrence (FO), but this can be difficult to interpret, as it does not include a temporal perspective. Here, we examine the potential for FO data derived from molecular diet analysis to inform invasive species management, using invasive ship rats () and endemic frogs ( spp.) in New Zealand as a case study. Only two endemic frog species persist on the mainland. One of these, , is Critically Endangered (IUCN 2017) and ranked as the world's most evolutionarily distinct and globally endangered amphibian (EDGE, 2018). Ship rat stomach contents were collected by kill-trapping and subjected to three methods of diet analysis (one morphological and two DNA-based). A new primer pair was developed targeting all anuran species that exhibits good coverage, high taxonomic resolution, and reasonable specificity. Incorporating a temporal parameter allowed us to calculate the minimum number of ingestion events per rat per night, providing a more intuitive metric than the more commonly reported FO. We are not aware of other DNA-based diet studies that have incorporated a temporal parameter into FO data. The usefulness of such a metric will depend on the study system, in particular the feeding ecology of the predator. Ship rats are consuming both species of native frogs present on mainland New Zealand, and this study provides the first detections of remains of these species in mammalian stomach contents.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6509367PMC
http://dx.doi.org/10.1002/ece3.4903DOI Listing

Publication Analysis

Top Keywords

diet analysis
12
diet studies
12
molecular diet
8
analysis inform
8
inform invasive
8
invasive species
8
species management
8
case study
8
rats consuming
8
introduced fauna
8

Similar Publications

Background: Gestational diabetes mellitus is hyperglycemia in special populations (pregnant women), however gestational diabetes mellitus (GDM) not only affects maternal health, but also has profound effects on offspring health. The prevalence of gestational diabetes in my country is gradually increasing.

Objective: To study the application effect of self-transcendence nursing model in GDM patients.

View Article and Find Full Text PDF

Introduction: The global prevalence of people living with overweight has tripled since 1975 and more than 40% of Danish women enter pregnancy being overweight. With the increasing rates of obesity observed in children, adolescents and adults, there is an urgent need for preventive measures. Risk factors for childhood obesity include maternal overweight or obesity before conception and excessive weight gain during pregnancy.

View Article and Find Full Text PDF

Effects of rumen-degradable starch on lactation performance, gastrointestinal fermentation, and plasma metabolomic in dairy cows.

Int J Biol Macromol

January 2025

State Key Laboratory of Animal Nutrition, Beijing Engineering Technology Research Centre of Raw Milk Quality and Safety Control, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China. Electronic address:

This study investigated the effects of rumen-degradable starch (RDS) on lactation performance, gastrointestinal fermentation, and plasma metabolomics in dairy cows. Six mid-lactation cows, fitted with rumen, duodenum, and ileum cannulas, were used in a duplicated 3 × 3 Latin square design with 28-day periods. The cows were fed a low RDS (LRDS; 62.

View Article and Find Full Text PDF

Menstrual cycle characteristics across the reproductive lifespan and cognitive function in midlife women.

Am J Obstet Gynecol

January 2025

Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.

Background: Menstrual cycle characteristics are potential indicators of hormonal exposures and may also signal cardiovascular disease risk factors, both of which are relevant to cognitive health. However, there is scarce epidemiological evidence on the association between cycle characteristics and cognitive function.

Objectives: We studied the associations of menstrual cycle characteristics at three stages of a woman's reproductive lifespan with cognitive function in midlife.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!