Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Diego, Nieto Lugilde"'
Publikováno v:
PLoS ONE, Vol 16, Iss 7, p e0240957 (2021)
Disentangling the influence of environmental drivers on community assembly is important to understand how multiple processes influence biodiversity patterns and can inform understanding of ecological responses to climate change. Phylogenetic Communit
Externí odkaz:
https://doaj.org/article/0e90de6cfb334f6a9278088084d4719a
Publikováno v:
Diversity, Vol 14, Iss 2, p 136 (2022)
The presence of Cedrus atlantica on the European continent, including, especially, the determination of the time of its disappearance from the Iberian Peninsula, is one of the most controversial issues in recent decades regarding the successive extin
Externí odkaz:
https://doaj.org/article/14945979ec464d8fb42f07c6fcd53fd2
Autor:
Diego Nieto-Lugilde, Jessica L Blois, Francisco J Bonet-García, Thomas Giesecke, Graciela Gil-Romera, Alistair Seddon
Publikováno v:
Environmental Research Letters, Vol 16, Iss 9, p 095005 (2021)
Anthropogenic pressures are causing a global decline in biodiversity. Successful attempts at biodiversity conservation requires an understanding of biodiversity patterns as well as the drivers and processes that determine those patterns. To deepen th
Externí odkaz:
https://doaj.org/article/6abe365aba1a4369ab643a80bb7dfef7
Preserving the genetic diversity of forest species is critical for maintaining their adaptive potential and allowing for generation turnover in forest ecosystems. Considering an uncertain future, it is necessary to establish reliable genetic conserva
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8029ed24d1305154c0920bd03a3b0cb9
https://hdl.handle.net/10481/79230
https://hdl.handle.net/10481/79230
Publikováno v:
Ecology and evolution. 12(12)
Preserving the genetic diversity of forest species is critical for maintaining their adaptive potential and allowing for generation turnover in forest ecosystems. Considering an uncertain future, it is necessary to establish reliable genetic conserva
Autor:
Antonio González Hernández, Francisca Alba Sánchez, Julio Peñas, Qun Yin, Diego Nieto-Lugilde
Publikováno v:
Forests
Volume 12
Issue 11
Digibug. Repositorio Institucional de la Universidad de Granada
instname
Forests, Vol 12, Iss 1451, p 1451 (2021)
Volume 12
Issue 11
Digibug. Repositorio Institucional de la Universidad de Granada
instname
Forests, Vol 12, Iss 1451, p 1451 (2021)
Organisms modify their geographical distributions in response to changes in environmental conditions, or modify their affinity to such conditions, to avoid extinction. This study explored the altitudinal shift of Abies pinsapo Boiss. in the Baetic Sy
Publikováno v:
PLoS ONE
PLoS ONE, Vol 16, Iss 7, p e0240957 (2021)
PLoS ONE, Vol 16, Iss 7, p e0240957 (2021)
Disentangling the influence of environmental drivers on community assembly is important to understand how multiple processes influence biodiversity patterns and can inform understanding of ecological responses to climate change. Phylogenetic Communit
Publikováno v:
Ecosistemas. 27:52-61
Nieto-Lugilde, D., Lopez-Saez, J.A., Alba-Sanchez, F. 2018. Studying community assembly drivers and its past dynamics incorporating phylogenetic and functional data to the fossil record. Ecosistemas 27(1): 52-61. Doi.: 10.7818/ECOS.1438 Studying comm
Autor:
Matthew C. Fitzpatrick, David J. Lorenz, John W. Williams, Jessica L. Blois, Kaitlin C. Maguire, Diego Nieto-Lugilde
Publikováno v:
Global Change Biology. 24:3575-3586
Future climates are projected to be highly novel relative to recent climates. Climate novelty challenges models that correlate ecological patterns to climate variables and then use these relationships to forecast ecological responses to future climat
Autor:
John W. Williams, Matthew C. Fitzpatrick, Kaitlin C. Maguire, Jessica L. Blois, Diego Nieto-Lugilde
Publikováno v:
Methods in Ecology and Evolution. 9:834-848
1.Community-level models (CLMs) consider multiple, co-occurring species in model fitting and are lesser known alternatives to species distribution models (SDMs) for analyzing and predicting biodiversity patterns. CLMs simultaneously model multiple sp