Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Martin De Kauwe"'
Autor:
Sanaa Hobeichi, Gab Abramowitz, Anna M. Ukkola, Martin De Kauwe, Andy Pitman, Jason P. Evans, Hylke Beck
Publikováno v:
npj Climate and Atmospheric Science, Vol 5, Iss 1, Pp 1-9 (2022)
Abstract The sixth Intergovernmental Panel on Climate Change (IPCC) assessment report confirms that global warming drives widespread changes in the global terrestrial hydrological cycle, and that changes are regionally diverse. However, reported tren
Externí odkaz:
https://doaj.org/article/d90594bae3cf4f048d291b20da89517d
The dynamics of the ascent of water from the soil to the leaves of vascular plants determine ecosystem responses to environmental forcing and their recovery from periods of water stress. Recently several models that describe the dynamics of plant hyd
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::716e0cb36332c957217de1dabf212869
https://doi.org/10.5194/egusphere-egu23-7820
https://doi.org/10.5194/egusphere-egu23-7820
Autor:
Martin De Kauwe, Manon Sabot, Belinda Medlyn, Andy Pitman, Patrick Meir, Lucas Cernusak, Anna Ukkola, Sami Rifai, Brendan Choat
Australia is the driest inhabited continent. Annual rainfall is low and is accompanied by marked inter-annual variability, leading to multi-year droughts. n particular, South-East Australia has recently experienced two of the worst droughts
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93cf797ddb155d7544a6df5e02866819
https://doi.org/10.5194/egusphere-egu23-8249
https://doi.org/10.5194/egusphere-egu23-8249
Autor:
Jinyan Yang, Belinda Medlyn, Craig Barton, Amber Churchill, Martin De Kauwe, Mingkai Jiang, Arjunan Krishnananthaselvan, David Tissue, Elise Pendall, Sally Power
Grassland responses to drought are strongly mediated by leaf phenology, with greening and browning being highly sensitive to soil moisture. However, this process is represented overly simplistically in most vegetation models, limiting their capacity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c610988a1f3c83aed59b6bc484d73472
https://doi.org/10.22541/au.165106085.50268142/v1
https://doi.org/10.22541/au.165106085.50268142/v1
Autor:
Manon Sabot, Martin De Kauwe, Andy Pitman, Belinda Medlyn, David Ellsworth, Silvia Caldararu, Sönke Zaehle, Mengyuan Mu, Teresa Gimeno
Predicting ecosystem resilience to droughts and heatwaves requires a predictive capacity that is currently lacking in land-surface models (LSMs). Eco-evolutionary optimisation approaches have the potential to increase predictability, but competing ap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a53048877bde58c51058ed3621463c4e
https://doi.org/10.5194/egusphere-egu22-4244
https://doi.org/10.5194/egusphere-egu22-4244
Autor:
Martin De Kauwe, Manon Sabot, Belinda Medlyn, Andrew Pitman, Patrick Meir, Lucas Cernusak, Rachael Gallagher, Anna Ukkola, Sami Rifai, Brendan Choat
Predicting species-level responses to drought at the landscape scale is critical to reducing future uncertainty in terrestrial carbon and water cycle projections. We embedded a stomatal optimisation model in the Community Atmosphere Biosphere Land Ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5954e5e882311050a2850f19adca893
https://doi.org/10.5194/egusphere-egu22-2419
https://doi.org/10.5194/egusphere-egu22-2419
Autor:
Forrest Hoffman, Jitendra Kumar, Zheng Shi, Anthony Walker, Jiafu Mao, Yaoping Wang, Abigail Swann, James Randerson, Umakant Mishra, Gabriel Kooperman, Hyungjun Kim, Chonggang Xu, Charles Koven, David Lawrence, Megan Fowler, Martin De Kauwe, Belinda Medlyn, Lianhong Gu, Liz Agee, Jeff Warren, Shawn Serbin, Alistair Rogers, Trevor Keenan, Nate McDowell, Nathan Collier, Sarat Sreepathi, Juan Restrepo, Rick Archibald, Feng Bao, Richard Mills
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::566cdca4a280449dedf7b5c9087a17b6
https://doi.org/10.2172/1769668
https://doi.org/10.2172/1769668