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共检索到119条 ,权限内显示50条;
GBIF Occurrence Download
- 负责人：
- DOI：
- doi:10.15468/dl.faymoo
- 摘要：
- GEO-Hauptveranstaltung (Duisburg). 123 records from Environment Agency England and Wales (2012) Non-native Species records v1. 9 records from
Dataset for modeling spatial and temporal variation in natural background specific conductivity
- 负责人：
- DOI：
- doi:10.23719/1500945
- 摘要：
- ) system (USGS 2016), and data used in Olson and Hawkins (2012) (Table S1). Data include observations made between 1 January 2001 and 31 December 2015
GBIF Occurrence Download
- 负责人：
- DOI：
- doi:10.15468/dl.5ic5cq
- 摘要：
- GEO-Hauptveranstaltung (Duisburg). 123 records from Environment Agency England and Wales (2012) Non-native Species records v1. 9 records from
GBIF Occurrence Download
- 负责人：
- DOI：
- doi:10.15468/dl.meguk5
- 摘要：
- -Hauptveranstaltung (Duisburg). 123 records from Environment Agency England and Wales (2012) Non-native Species records v1. 9 records from Monitoring data from
GBIF Occurrence Download
- 负责人：
- DOI：
- doi:10.15468/dl.ta5sfq
- 摘要：
- by JNCC. 1 records from Environment Agency England and Wales (2012) Non-native Species records v1. 142 records from Marine Non Native Species records from
GBIF Occurrence Download
- 负责人：
- DOI：
- doi:10.15468/dl.ydbxsp
- 摘要：
- 2012-2015. 25 records from Museum of Comparative Zoology, Harvard University. 2 records from Vertebrate Zoology Division - Mammalogy, Yale Peabody
GBIF Occurrence Download
- 负责人：
- DOI：
- doi:10.15468/dl.3orsbk
- 摘要：
- Mammal Collection (Arctos). 1 records from Mid Ulster Hare Surveys 2012-2015. 4 records from Museum of Comparative Zoology, Harvard University. 29
Data from: Prevalence of vancomycin-variable Enterococcus faecium (VVE) among vanA-positive sterile site isolates and patient factors associated with VVE bacteremia
- 负责人：
- DOI：
- doi:10.5061/dryad.8pt2c
- 摘要：
- . We prospectively collected Enterococcus faecium sterile site isolates from Toronto Invasive Bacterial Diseases Network hospitals from January 2015 to June 2016
GBIF Occurrence Download
- 负责人：
- DOI：
- doi:10.15468/dl.zzbof6
- 摘要：
- A dataset containing 17729 species occurrences available in GBIF matching the query: Year: 2012-2017 TaxonKey: Sus scrofa Linnaeus, 1758. The dataset
Data from: Combined effects of natural enemies and competition for resources on a forest defoliator: a theoretical and empirical analysis
- 负责人：
- DOI：
- doi:10.5061/dryad.tf0s1qg
- 摘要：
- Explanations for the dynamics of insect outbreaks often focus on natural enemies, on the grounds that parasitoid and pathogen attack rates are high during outbreaks. While natural enemy models can successfully reproduce outbreak cycles, experiments have repeatedly demonstrated the importance of resource quality and abundance. Experiments, however, are rarely invoked in modeling studies. Here we combine mechanistic models, observational data, and field experiments to quantify the roles of parasitoid attacks and resource competition on the jack pine budworm, Choristoneura pinus. By fitting models to a combination of observational and experimental data, we show that parasitoid attacks are the main source of larval budworm mortality at low and intermediate budworm densities, but that resource competition is the main source of mortality at high densities. Our results further show that the effects of resource competition become more severe with increasing host tree age, and that the effects of parasitoids are moderated by strong competition between parasitoids for hosts. Allowing for these effects in a model of insect outbreaks leads to realistic outbreak cycles, while a host-parasitoid model without resource competition produces an unrealistic stable equilibrium. The effects of resource competition are modulated by tree age, which in turn depends on fire regimes. Our model therefore suggests that increases in fire frequency due to climate change may interact in complex ways with budworm outbreaks. Our work shows that resource competition can be as important as natural enemies in modulating insect outbreaks, while demonstrating the usefulness of high-performance computing in experimental field ecology.
