Zobrazeno 1 - 10
of 154
pro vyhledávání: '"John S, Sperry"'
Autor:
William R L Anderegg, Adam Wolf, Adriana Arango-Velez, Brendan Choat, Daniel J Chmura, Steven Jansen, Thomas Kolb, Shan Li, Frederick Meinzer, Pilar Pita, Víctor Resco de Dios, John S Sperry, Brett T Wolfe, Stephen Pacala
Publikováno v:
PLoS ONE, Vol 12, Iss 10, p e0185481 (2017)
Climate change is expected to lead to increases in drought frequency and severity, with deleterious effects on many ecosystems. Stomatal responses to changing environmental conditions form the backbone of all ecosystem models, but are based on empiri
Externí odkaz:
https://doaj.org/article/2743945e863d4cea8ff729dacc612ca4
Publikováno v:
New Phytologist. 227:311-325
Optimal stomatal control models have shown great potential in predicting stomatal behavior and improving carbon cycle modeling. Basic stomatal optimality theory posits that stomatal regulation maximizes the carbon gain relative to a penalty of stomat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::219d7c719039c59f588c4279aa2cd0c8
https://doi.org/10.1111/nph.16572
https://doi.org/10.1111/nph.16572
Autor:
William R. L. Anderegg, Yujie Wang, Anna T. Trugman, John S. Sperry, X. Tai, Martin Venturas, Henry N. Todd
Publikováno v:
Proceedings of the National Academy of Sciences. 116:25734-25744
The response of forests to climate change depends in part on whether the photosynthetic benefit from increased atmospheric CO 2 (∆C a = future minus historic CO 2 ) compensates for increased physiological stresses from higher temperature (∆T). We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28ea347d9c4afffc6e48a70427907d37
https://doi.org/10.1073/pnas.1913072116
https://doi.org/10.1073/pnas.1913072116
Autor:
Joseph L. Pettit, Martin Venturas, D. S. Mackay, William R. L. Anderegg, John S. Sperry, X. Tai, David M. Love, Paul D. Brooks, Yujie Wang
Publikováno v:
Water Resources Research. 55:1833-1848
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88cbc13e27a652939bad8382977515dc
https://doi.org/10.1029/2018wr023468
https://doi.org/10.1029/2018wr023468
‘Pressure fatigue’: the influence of sap pressure cycles on cavitation vulnerability in Acer negundo
Publikováno v:
Tree Physiology. 39:740-746
Vulnerability-to-cavitation curves (VCs) can vary within a tree crown in relation to position or branch age. We tested the hypothesis that VC variation can arise from differential susceptibility to the number of diurnal sap pressure cycles experience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6df76a8eba97acb4d2591f3ae38fecc1
https://doi.org/10.1093/treephys/tpy148
https://doi.org/10.1093/treephys/tpy148
Autor:
John S. Sperry
Publikováno v:
The New phytologistReferences. 162(3)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0bbef890ee93b0ccdb00b1a6b247ee21
https://pubmed.ncbi.nlm.nih.gov/33873768
https://pubmed.ncbi.nlm.nih.gov/33873768
Autor:
Martin Venturas, Yujie Wang, William R. L. Anderegg, John S. Sperry, Henry N. Todd, Nicole Zenes, Kelly L. Kerr, Anna T. Trugman
Optimal stomatal control models have shown great potential in predicting stomatal behavior and improving carbon cycle modeling. Basic stomatal optimality theory posits that stomatal regulation maximizes the carbon gain relative to a penalty of stomat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ee376dcfe6d6f017a2a0a6b7c066c43
https://doi.org/10.5194/egusphere-egu21-6375
https://doi.org/10.5194/egusphere-egu21-6375
This study, conducted under the auspices of the Commonwealth Marine Economies Programme (CMEP), involved the characterisation of geomorphology and benthic assemblage groups around the previously unmapped western St. Lucian coastline. A high-resolutio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67dabc8e78819d78a28583f571fdac0e
https://doi.org/10.5194/egusphere-egu21-102
https://doi.org/10.5194/egusphere-egu21-102
Autor:
Robert Gabbitas, John S. Sperry, David R. Bowling, Stephen W. Pacala, Kailiang Yu, Anna T. Trugman, Nicole Zenes, William R. L. Anderegg, Benjamin N. Sulman, Daniel S. Karp, Alexandra G. Konings
Publikováno v:
Nature. 561:538-541
Plants influence the atmosphere through fluxes of carbon, water and energy1, and can intensify drought through land–atmosphere feedback effects2–4. The diversity of plant functional traits in forests, especially physiological traits related to wa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d79080dc55fdd6d9d4b476a736b8611f
https://doi.org/10.1038/s41586-018-0539-7
https://doi.org/10.1038/s41586-018-0539-7
Autor:
David M. Love, William R. L. Anderegg, Michael G. Allred, Martin Venturas, Ethan Frehner, Yujie Wang, John S. Sperry
Publikováno v:
New Phytologist. 220:836-850
Empirical models of plant drought responses rely on parameters that are difficult to specify a priori. We test a trait- and process-based model to predict environmental responses from an optimization of carbon gain vs hydraulic risk. We applied four
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7255cb299b89734f185acafa5e2d2667
https://doi.org/10.1111/nph.15333
https://doi.org/10.1111/nph.15333