兰州大学机构库
Modeling the mechanisms of conifer mortality under seawater exposure
Ding, Junyan1; McDowell, Nate1,2; Fang, Yilin3; Ward, Nicholas4; Kirwan, Matthew L.5; Regier, Peter4; Megonigal, Patrick; Zhang, Peipei7; Zhang, Hongxia8; Wang, Wenzhi9; Li, Weibin10; Pennington, Stephanie C.11; Wilson, Stephanie J.6; Stearns, Alice6; Bailey, Vanessa1
2023-09
Online publication date2023-06
Source PublicationNEW PHYTOLOGIST   Impact Factor & Quartile
ISSN0028-646X ; 1469-8137
Volume239Issue:5Pages:1679-1691
page numbers13
AbstractRelative sea level rise (SLR) increasingly impacts coastal ecosystems through the formation of ghost forests. To predict the future of coastal ecosystems under SLR and changing climate, it is important to understand the physiological mechanisms underlying coastal tree mortality and to integrate this knowledge into dynamic vegetation models. We incorporate the physiological effect of salinity and hypoxia in a dynamic vegetation model in the Earth system land model, and used the model to investigate the mechanisms of mortality of conifer forests on the west and east coast sites of USA, where trees experience different form of sea water exposure. Simulations suggest similar physiological mechanisms can result in different mortality patterns. At the east coast site that experienced severe increases in seawater exposure, trees loose photosynthetic capacity and roots rapidly, and both storage carbon and hydraulic conductance decrease significantly within a year. Over time, further consumption of storage carbon that leads to carbon starvation dominates mortality. At the west coast site that gradually exposed to seawater through SLR, hydraulic failure dominates mortality because root loss impacts on conductance are greater than the degree of storage carbon depletion. Measurements and modeling focused on understanding the physiological mechanisms of mortality is critical to reducing predictive uncertainty.
Keywordcarbon starvation hydraulic failure plant hydraulics root mortality salinity sea water exposure tree mortality vegetation dynamic model
PublisherWILEY
DOI10.1111/nph.19076
Indexed BySCIE
Language英语
WOS Research AreaPlant Sciences
WOS SubjectPlant Sciences
WOS IDWOS:001021004900001
Original Document TypeArticle
PMID 3737672
Citation statistics
Document Type期刊论文
Identifierhttps://ir.lzu.edu.cn/handle/262010/568524
Collection兰州大学
Corresponding AuthorDing, Junyan
Affiliation
1.Biol Sci Div, Pacific Northwest Natl Lab, POB 999, Richland, WA 99352 USA;
2.Washington State Univ, Sch Biol Sci, POB 644236, Pullman, WA 99164 USA;
3.Earth Syst Sci Div, Pacific Northwest Natl Lab, Richland, WA 99352 USA;
4.Marine & Coastal Res Lab, Pacific Northwest Natl Lab, Sequim, WA 98382 USA;
5.Virginia Inst Marine Sci, Coll William & Mary, Gloucester Point, VA 23062 USA;
6.Smithsonian Environm Res Ctr, Edgewater, MD 21037 USA;
7.Chinese Acad Sci, Chengdu Inst Biol, CAS Key Lab Mt Ecol Restorat & Bioresource Utiliza, Biodivers Conservat Key Lab Sichuan Prov, Chengdu 610041, Peoples R China;
8.Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Shapotou Desert Res & Expt Stn, Lanzhou 730000, Peoples R China;
9.Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Environm Evolut & Regulat, Chengdu 610041, Peoples R China;
10.Lanzhou Univ, Coll Pastoral Agr Sci & Technol, State Key Lab Herbage Improvement & Grassland Agro, Lanzhou 730020, Peoples R China;
11.Joint Global Change Res Inst, Pacific Northwest Natl Lab, College Pk, MD 20740 USA
Recommended Citation
GB/T 7714
Ding, Junyan,McDowell, Nate,Fang, Yilin,et al. Modeling the mechanisms of conifer mortality under seawater exposure[J]. NEW PHYTOLOGIST,2023,239(5):1679-1691.
APA Ding, Junyan.,McDowell, Nate.,Fang, Yilin.,Ward, Nicholas.,Kirwan, Matthew L..,...&Bailey, Vanessa.(2023).Modeling the mechanisms of conifer mortality under seawater exposure.NEW PHYTOLOGIST,239(5),1679-1691.
MLA Ding, Junyan,et al."Modeling the mechanisms of conifer mortality under seawater exposure".NEW PHYTOLOGIST 239.5(2023):1679-1691.
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