Jack McDonnell

ORCID: 0000-0003-3049-8041
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About
Contact & Profiles
Research Areas
  • Ecology and Vegetation Dynamics Studies
  • Plant and animal studies
  • Sports injuries and prevention
  • Plant Water Relations and Carbon Dynamics
  • Sports Performance and Training
  • Climate change impacts on agriculture
  • Financial Markets and Investment Strategies
  • Crop Yield and Soil Fertility
  • Cardiovascular and exercise physiology
  • Sports Analytics and Performance
  • Management and Organizational Studies
  • Monetary Policy and Economic Impact
  • Meteorological Phenomena and Simulations
  • Underwater Acoustics Research
  • Climate variability and models
  • Advanced Computational Techniques and Applications
  • Species Distribution and Climate Change
  • Rangeland and Wildlife Management
  • Stock Market Forecasting Methods
  • Water Quality Monitoring Technologies
  • Land Use and Ecosystem Services

Dundalk Institute of Technology
2023-2024

Teagasc - The Irish Agriculture and Food Development Authority
2017-2022

National University of Ireland, Maynooth
2013-2019

Rutgers, The State University of New Jersey
2002

Bowling Green State University
1976

General Dynamics (United States)
1976

Claremont Graduate University
1976

Understanding the biodiversity and ecosystem function relationship can be challenging in species-rich ecosystems. Traditionally, species richness has been relied on heavily to explain changes across diversity gradients. Diversity-Interactions models test how is affected by identity, interactions, evenness, addition richness. However, a system, there may too many interactions allow estimation of each coefficient, if all interaction coefficients are estimable, they devoid any sensible...

10.1002/ecy.1872 article EN Ecology 2017-04-26

ABSTRACT Typical weather in I reland provides conditions favourable for sustaining grass growth throughout most of the year. This affords based farming a significant economic advantage due to low input costs associated with production. To optimize productivity systems, farmers must manage resource over short time scales. While research has been conducted into developing predictive models support on‐farm decision making, term forecasts have not yet incorporated these models. assess their...

10.1002/met.1691 article EN Meteorological Applications 2017-11-28

To analyze the positional distances covered above generic and individualized speed thresholds within most demanding phases of match play. Categorized by position, 17 English Premier League players' data were analyzed over 2 consecutive seasons (2019-20 2020-21). The play determined using a rolling average across 4 periods 1, 3, 5, 10 minutes. Distance in time standard 5.5 m/s was analyzed, with metrics based on maximal aerobic (MAS) test data.

10.1123/ijspp.2023-0063 article EN International Journal of Sports Physiology and Performance 2023-12-22

Abstract Biodiversity and Ecosystem Function analyses aim to explain how individual species their interactions affect ecosystem function. With this study, we asked in what ways do interact, are these affected by planting pattern, initial (planted) proportions or previous year (realized) a better reference point for characterizing grassland diversity effects? We addressed questions with experimental communities compiled from pool of 16 tallgrass prairie species. planted all monocultures...

10.1002/ece3.5696 article EN cc-by Ecology and Evolution 2019-10-09

In grassland ecosystems, it is well known that increasing plant species diversity can improve ecosystem functions (i.e., responses), for example, by productivity and reducing weed invasion. Diversity-Interactions models use proportions their interactions as predictors in a regression framework to assess biodiversity function relationships. However, be difficult model numerous if there are many species, may temporally variable or dependent on spatial planting patterns. We developed new mixed...

10.1007/s13253-022-00505-2 article EN cc-by Journal of Agricultural Biological and Environmental Statistics 2022-09-01

Existing risk-to-reward measures, such as the Sharpe ratio [1] or M2 [2], are based on idea of quantifying excess return per unit deviation in an investment. In this preliminary article we introduce a new probabilistic measure for evaluating investment performance. Randomness Deficiency Coefficient (RDC) expresses likelihood that observed has been generated by chance. Some advantages RDC over existing measures it can be used with small historical datasets, is time-frame independent, and...

10.1109/cifer.2013.6611704 article EN 2013-04-01

10.1080/24748668.2024.2396222 article EN International Journal of Performance Analysis in Sport 2024-09-26

10.1002/hrm.3930150202 article EN Human Resource Management 1976-06-01

In 1997, investigators at Rutgers University and the Woods Hole Oceanographic Institution installed a Long-Term Ecosystem Observatory in 15 meters of water (LEO-15) about 10 km off New Jersey coast. This facility, operated by Mid-Atlantic Bight National Undersea Research Center as national littoral laboratory, enables to sample sense coastal ocean with level precision unmatched traditional surface-based techniques. Essential elements LEO-15 system are delivery 12 kVA electrical power,...

10.1109/oceans.2001.968225 article EN 2002-11-13
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