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opencc-zeroDec 2014View details →

Data from: Initial colonization, community assembly, and ecosystem function: fungal colonist traits and litter biochemistry mediate decay rate

Priority effects are an important ecological force shaping biotic communities and ecosystem processes, in which the establishment of early colonists alters the colonization success of later-arriving organisms via competitive exclusion and habitat modification. However, we do not understand which biotic and abiotic conditions lead to strong priority effects and lasting historical contingencies. Using saprotrophic fungi in a model leaf decomposition system, we investigated whether compositional and functional consequences of initial colonization were dependent on initial colonizer traits, resource availability or a combination thereof. To test these ideas, we factorially manipulated leaf litter biochemistry and initial fungal colonist identity, quantifying subsequent community composition, using neutral genetic markers, and community functional characteristics, including enzyme potential and leaf decay rates. During the first 3 months, initial colonist respiration rate and physiological capacity to degrade plant detritus were significant determinants of fungal community composition and leaf decay, indicating that rapid growth and lignolytic potential of early colonists contributed to altered trajectories of community assembly. Further, initial colonization on oak leaves generated increasingly divergent trajectories of fungal community composition and enzyme potential, indicating stronger initial colonizer effects on energy-poor substrates. Together, these observations provide evidence that initial colonization effects, and subsequent consequences on litter decay, are dependent upon substrate biochemistry and physiological traits within a regional species pool. Because microbial decay of plant detritus is important to global C storage, our results demonstrate that understanding the mechanisms by which initial conditions alter priority effects during community assembly may be key to understanding the drivers of ecosystem-level processes.

opencc-zeroDec 2017View details →

Data from: A multi-state dynamic occupancy model to estimate local colonization-extinction rates and patterns of co-occurrence between two or more interacting species

1. Although ecology is rife with theory that explores how multiple species co-occur through space and time, the field lacks robust statistical models to parameterize this theory with empirical data, particularly when species are detected imperfectly and data are collected as a time-series. 2. We address this need by developing an occupancy model that estimates local colonization and extinction rates for two or more interacting species when data are collected across multiple sampling occasions. This model estimates how community composition at a site may change across sampling occasions by assuming the latent occupancy state is a categorical random variable. We used a multinomial-logit model to parameterize species-specific parameters and pairwise interactions between species, both of which can be made a function of covariates. These transition probabilities between community states can then be converted to occupancy or co-occurrence probabilities to determine how community composition varies along an environmental gradient or through time. 3. As an example, we estimate patterns of co-occurrence between coyote (Canis latrans), Virginia opossum (Didelphis virginiana), and raccoon (Procyon lotor) in Chicago, Illinois, USA with data from a multi-year camera trapping study. Models with pairwise interactions between species greatly out performed models that assumed independence between species. Opossum and raccoon, for example, were far less likely to go extinct in habitat patches where coyotes were present. 4. Community composition at a site depends on species interactions and the local environment. Our model can separate such effects by estimating the underlying processes that define species occurrence patterns. As a result, our model can more explicitly quantify a wide range of ecological dynamics and therefore be used to empirically test ecological theory, such as estimating priority effects at a site or turnover rates between species, both of which can be made to vary as a function of covariates.

publicNov 2018View details →

Data from: A multi-state dynamic occupancy model to estimate local colonization-extinction rates and patterns of co-occurrence between two or more interacting species

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publicAug 2015View details →

Data from: Initial colonization, community assembly, and ecosystem function: fungal colonist traits and litter biochemistry mediate decay rate

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A Non-Interventional Study of the Occurrence Rate of Non-Small Cell Lung Cancer, Colon Cancer, Breast Cancer, Gastric Cancer and Malignant Melanoma in Turkey, and Diagnosis and Treatment Characteristi

ClinicalTrials.gov study NCT01775514. IPD Sharing: Not stated. Countries: 1. Publications: 0.

controlledIPD-YESFeb 2026View details →

Evaluating the Clinical Value of Transparent Cap-Assisted Second Examination of the Sigmoid Colon for Improving Colorectal Adenoma Detection Rates

ClinicalTrials.gov study NCT07261319. IPD Sharing: YES. Countries: 1. Publications: 0.

Comparison of the ENDOCUFF VISION® Endoscopy Cap Coupled With GI GENIUS™ Artificial Intelligence Compared to Each Device Alone in Improving Colonic Adenoma Detection Rate During Colonoscopy

ClinicalTrials.gov study NCT05594576. IPD Sharing: Not stated. Countries: 1. Publications: 0.

Rate of Microbial Colonization Over Native Calcified Cardiac Valves

ClinicalTrials.gov study NCT01409525. IPD Sharing: Not stated. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →

Simultaneous Improvement in Colon Cancer Screening Rates and Patient-Centered Care

ClinicalTrials.gov study NCT02377232. IPD Sharing: NO. Countries: 1. Publications: 0.

ClinicalTrials.gov20/100

Does Preoperative Administration of Oral Doxycycline Decrease the Colonization Rate of Propionibacterium Acnes in the Dermis of the Shoulder?

ClinicalTrials.gov study NCT02688738. IPD Sharing: Not stated. Countries: 0. Publications: 0.

ClinicalTrials.gov20/100

Oral Antibiotic Treatment of Helicobacter Pylori Reduces Intestinal Colonization Rates With Oxalobacter Formigenes

ClinicalTrials.gov study NCT01300039. IPD Sharing: Not stated. Countries: 0. Publications: 0.