Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Jack McDonnell"'
Publikováno v:
Ecology and Evolution, Vol 9, Iss 21, Pp 12171-12181 (2019)
Abstract Biodiversity and Ecosystem Function analyses aim to explain how individual species and their interactions affect ecosystem function. With this study, we asked in what ways do species interact, are these interactions affected by species plant
Externí odkaz:
https://doaj.org/article/3cb8c7f1561944158c55f80b930238f3
Autor:
Jack McDonnell, Thomas McKenna, Kathryn A. Yurkonis, Deirdre Hennessy, Rafael de Andrade Moral, Caroline Brophy
Publikováno v:
Journal of Agricultural, Biological and Environmental Statistics. 28:1-19
In grassland ecosystems, it is well known that increasing plant species diversity can improve ecosystem functions (i.e., ecosystem responses), for example, by increasing productivity and reducing weed invasion. Diversity-Interactions models use speci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea53f4543cd7a77dfb6c323311c4bfa3
https://doi.org/10.1007/s13253-022-00505-2
https://doi.org/10.1007/s13253-022-00505-2
Autor:
Caroline Brophy, Jack McDonnell, Laurence Shalloo, Deirdre Hennessy, E. Ruelle, Keith Lambkin
Publikováno v:
European Journal of Agronomy. 105:168-175
Grass growth models have retrospectively predicted grass growth in Ireland using weather observations. However, to predict future grass growth to aid farm management, weather forecasts are necessary inputs. The Moorepark St. Gilles grass growth model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78ef898a41c9d9e7ccceb4d72eed6269
https://doi.org/10.1016/j.eja.2019.02.013
https://doi.org/10.1016/j.eja.2019.02.013
Autor:
Rowan Fealy, Deirdre Hennessy, Caroline Brophy, Laurence Shalloo, Jack McDonnell, Keith Lambkin
Publikováno v:
Meteorological Applications. 25:292-301
Typical weather in Ireland provides conditions favourable for sustaining grass growth throughout most of the year. This affords grass based farming a significant economic advantage due to the low input costs associated with grass production. To optim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66b6b4a6fca00d383619d66f3f06b57e
https://doi.org/10.1002/met.1691
https://doi.org/10.1002/met.1691
Autor:
Jack McDonnell, Thomas Bell, Laura Kirwan, Caroline Brophy, Aine Dooley, John Connolly, John A. Finn, Marc W. Cadotte
Publikováno v:
Ecology. 98(7)
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 in ecosystem function across diversity gradients. Diversit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e0e02c6ce33f6f1c10d60c4bd61a9d0
https://pubmed.ncbi.nlm.nih.gov/28444961
https://pubmed.ncbi.nlm.nih.gov/28444961
Publikováno v:
The Journal of Intelligence, Conflict, and Warfare. 1:16
Those seeking to engage in warfare against organised governments in the 21st century are increasingly relying on such governments being unable to respond in an appropriate manner. The latter half of the 20th century in Northern Ireland is a perfect e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21f119b412b191e8275aa4cd5f843b9c
https://doi.org/10.21810/jicw.v1i2.654
https://doi.org/10.21810/jicw.v1i2.654
Publikováno v:
CIFEr
Existing risk-to-reward measures, such as the Sharpe ratio [1] or M2 [2], are based on the idea of quantifying the excess return per unit of deviation in an investment. In this preliminary article we introduce a new probabilistic measure for evaluati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7df80d68dbcbc2f02b9ef0aad858bb91
https://doi.org/10.1109/cifer.2013.6611704
https://doi.org/10.1109/cifer.2013.6611704
Autor:
Jack McDonnell
Publikováno v:
Human Resource Management. 15:1-4
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c690f9f6a432e1559184cf2eb061f120
https://doi.org/10.1002/hrm.3930150202
https://doi.org/10.1002/hrm.3930150202
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