Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Jacob D O'Sullivan"'
Autor:
Cillian Cockrell, Jacob D. O'Sullivan, J. Christopher D. Terry, Emmanuel C. Nwankwo, Kostya Trachenko, Axel G. Rossberg
Publikováno v:
Physical Review Research, Vol 6, Iss 1, p 013093 (2024)
Species-rich Lotka-Volterra competition models of ecosystem dynamics transition with increasing species pool size from a phase with well-defined stable equilibrium to a dynamic phase that remains incompletely understood. We analytically describe the
Externí odkaz:
https://doaj.org/article/14b10f07ab4d490d9bbe44e09012b52c
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 1, p e1010804 (2023)
Conserving biodiversity often requires deciding which sites to prioritise for protection. Predicting the impact of habitat loss is a major challenge, however, since impacts can be distant from the perturbation in both space and time. Here we study th
Externí odkaz:
https://doaj.org/article/f89af0e9cf40448fb3d3b463890443a4
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
Change in ecological communities can be driven by extrinsic forces, but the degree to which intrinsic population dynamics drive turnover has remained unclear. Here the authors use metacommunity modelling to show that biodiversity change previously at
Externí odkaz:
https://doaj.org/article/3dabbf62bb0548d181762ced327fd8fb
Publikováno v:
Ecography. 2022
Recent developments in understanding and predicting species responses to climate change have emphasised the importance of both environmental variability and consideration of the wider biotic community. To date, the interaction between the two has rec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::901d6e93fa5714bdfe4fb5448058d4c7
https://doi.org/10.1111/ecog.06123
https://doi.org/10.1111/ecog.06123
Analytic models for how species will respond to climate change can highlight key parameter dependencies. By mapping equations for population dynamics onto corresponding well-studied problems from quantum mechanics we derive analytical results for the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::149c76cd61bf0fc87a7fb20bee34def3
https://doi.org/10.1101/2022.02.04.479140
https://doi.org/10.1101/2022.02.04.479140
The mechanisms determining the distribution of the number of sites species occupy—the occupancy frequency distribution (OFD)—remain incompletely understood despite decades of research. Here we study OFD in fresh-water metacommunities in England.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ceaeccfd0ad96d3c7b47c5bc714a08a
https://doi.org/10.1101/2021.11.08.467721
https://doi.org/10.1101/2021.11.08.467721
Publikováno v:
Nature ecologyevolution. 6(2)
Although there is some evidence that larger species could be more prone to population declines, the potential role of size traits in determining changes in community composition has been underexplored in global-scale analyses. Here, we combine a larg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::55aec7e532d388ed71987607ce89dd64
https://pubmed.ncbi.nlm.nih.gov/34969989
https://pubmed.ncbi.nlm.nih.gov/34969989
There exist a number of key macroecological patterns whose ubiquity suggests the spatio-temporal structure of ecological communities is governed by some universal mechanisms. The nature of these mechanisms, however, remains poorly understood. Here we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f7215970afa18ed96906c0fb39f3b0d
https://doi.org/10.1101/489336
https://doi.org/10.1101/489336
Publikováno v:
Ecology letters. 22(9)
There exist a number of key macroecological patterns whose ubiquity suggests that the spatio-temporal structure of ecological communities is governed by some universal mechanisms. The nature of these mechanisms, however, remains poorly understood. He
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a99d0f16cbe02eac480fd8462499893b
https://pubmed.ncbi.nlm.nih.gov/31701628
https://pubmed.ncbi.nlm.nih.gov/31701628