Abstract
An exponential rise in the atmospheric vapour pressure deficit (VPD) is among the most consequential impacts of climate change in terrestrial ecosystems. Rising VPD has negative and cascading effects on nearly all aspects of plant function including photosynthesis, water status, growth and survival. These responses are exacerbated by land–atmosphere interactions that couple VPD to soil water and govern the evolution of drought, affecting a range of ecosystem services including carbon uptake, biodiversity, the provisioning of water resources and crop yields. However, despite the global nature of this phenomenon, research on how to incorporate these impacts into resilient management regimes is largely in its infancy, due in part to the entanglement of VPD trends with those of other co-evolving climate drivers. Here, we review the mechanistic bases of VPD impacts at a range of spatial scales, paying particular attention to the independent and interactive influence of VPD in the context of other environmental changes. We then evaluate the consequences of these impacts within key management contexts, including water resources, croplands, wildfire risk mitigation and management of natural grasslands and forests. We conclude with recommendations describing how management regimes could be altered to mitigate the otherwise highly deleterious consequences of rising VPD.
Original language | English (US) |
---|---|
Pages (from-to) | 3561-3589 |
Number of pages | 29 |
Journal | Plant Cell and Environment |
Volume | 47 |
Issue number | 9 |
Early online date | Feb 13 2024 |
DOIs | |
State | Published - Sep 2024 |
Keywords
- carbon cycling
- climate change
- drought
- management
- plant physiology
ASJC Scopus subject areas
- Physiology
- Plant Science
Online availability
- 10.1111/pce.14846License: CC BY-NC-ND
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In: Plant Cell and Environment, Vol. 47, No. 9, 09.2024, p. 3561-3589.
Research output: Contribution to journal › Review article › peer-review
}
TY - JOUR
T1 - The impacts of rising vapour pressure deficit in natural and managed ecosystems
AU - Novick, Kimberly A.
AU - Ficklin, Darren L.
AU - Grossiord, Charlotte
AU - Konings, Alexandra G.
AU - Martínez-Vilalta, Jordi
AU - Sadok, Walid
AU - Trugman, Anna T.
AU - Williams, A. Park
AU - Wright, Alexandra J.
AU - Abatzoglou, John T.
AU - Dannenberg, Matthew P.
AU - Gentine, Pierre
AU - Guan, Kaiyu
AU - Johnston, Miriam R.
AU - Lowman, Lauren E.L.
AU - Moore, David J.P.
AU - McDowell, Nate G.
N1 - K. Novick acknowledges support from the NSF Division of Integrative Organismal Biology (grant numbers 1006196 and 2243900) and the US Department of Energy via the Environmental System Science Programme (grant number DE-SC0021980) and the AmeriFlux Management Project. M. P. Dannenberg and M. R. Johnston were supported by NSF EPSCoR grant 2131853. C. Grossiord was supported by the Swiss National Science Foundation (grant number 310030_204697) and the Sandoz Family Foundation. A. G. Konings was supported by the Alfred P. Sloan Foundation. L. Lowman was supported by the NSF Division of Earth Sciences (grant number 2228047). J. Mart\u00EDnez-Vilalta was supported by Grant PID2021-127452NB-I00 funded by MCIN/AEI/10.13039/501100011033 and European Union NextGenerationEU/PRTR; grant 2021 SGR 00849 funded by AGAUR\u00A0and ICREA Academia. N. McDowell was supported by the Department of Energy's Next Generation Ecosystem Experiment-Tropics, and by the National Science Foundation. W. Sadok acknowledges support from USDA NIFA-Minnesota Agricultural Experiment Station, Grant/Award Number: MIN-13-124 and the AFRI Competitive Grant 2022-68013-36439 (WheatCAP) from the USDA NIFA. A. T. Trugman acknowledges funding from the NSF Grants 2003205 and 2216855 and the Gordon and Betty Moore Foundation Grant GBMF11974. A. P. Williams was supported by the Zegar Family Foundation, the Gordon and Betty Moore Foundation Grant GBMF11974, and the United States Department of Energy (grant number DE-SC0022302). A. J. Wright was supported by an NSF Division of Environmental Biology CAREER award (grant number 2143186). We acknowledge helping editorial suggestions from Yi Yang. Finally, we would like to acknowledge the AmeriFlux Site PIs, including the National Ecological Observatory Network (NEON), who have generously shared their data to the network under the CC-BY-4.0 data sharing license, including for the following site IDs: US-A32 (Billesbach et al.,\u00A02018a), US-A74 (Billesbach et al.,\u00A02018b), US-AR1 (Billesbach et al.,\u00A02019a), US-AR2 (Billesbach et al.,\u00A02019b), US-ARM (Biraud et al.\u00A02021); US-Bi1 (Rey-Sanchez et al.\u00A02022a);\u00A0US-Bi2 (Rey-Sanchez et al.,\u00A02022b); US-BMM (Stoy & Brookshire,\u00A02022); US-BO1 (Meyers,\u00A02016); US-BO2 (Bernacchi et al.,\u00A02016);\u00A0US-BRG (Novick,\u00A02020); US-CMW (Scott,\u00A02022a); US-Cpk (Ewers et al.,\u00A02016); US-CRT (Chen & Chu,\u00A02021); US-CS2 (Desai et al.,\u00A02022a); US-DFC (Duff & Desai,\u00A02020); US-DK1 (Oishi et al.,\u00A02018a); US-DK2 (Oishi et al.,\u00A02018b); US-DK3 (Oishi et al.,\u00A02018c); US-GBT (Massman,\u00A02016); US-GLE (Frank & Massman,\u00A02022); US-HBK (Kelsey & Green,\u00A02020); US-HO1 (Hollinger,\u00A02021); US-HRC (Reba,\u00A02021); US-HWB (Gosley,\u00A02021); US-Jo1 (Tweedie,\u00A02022); US-KFS (Brunsell,\u00A02022); US-KM4 (Robertson & Chen,\u00A02021); US-KON (Brunsell,\u00A02020); US-KUT (McFadden,\u00A02016); US-LL1 (Starr,\u00A02021a); US-LL2 (Starr,\u00A02021b); US-LL3 (Starr,\u00A02021c); US-Me2 (Law,\u00A02022); US-Me6 (Law,\u00A02021); US-MMS (Novick & Phillips,\u00A02022); US-MOz (Wood & Gu,\u00A02021); US-Mpj (Litvak,\u00A02022a); US-MtB (Barron-Gafford,\u00A02022); US-NC1 (Noormets,\u00A02018); UC-NC2 (Noormets,\u00A02022);\u00A0US-NC3 (Noormets et al.\u00A02022);\u00A0US-Ne1 (Suyker,\u00A02022a); US-Ne2 (Suyker,\u00A02022b); US-Ne3 (Suyker,\u00A02022c); US-NGC (Torn & Dengel,\u00A02020); US-NR1 (Blanken et al.,\u00A02022); US-Oho (Chen et al.,\u00A02021); US-ONA (Silveira,\u00A02022); US-Prr (Kobayashi et al.,\u00A02019); US-Rls (Flerchinger,\u00A02021a); US-Rms (Flerchinger,\u00A02021b); US-RO1 (Baker & Griffis,\u00A02022); US-Ro5 (Baker & Griffis,\u00A02021a); US-Ro6 (Baker & Griffis,\u00A02021b);\u00A0US-Rwf (Flerchinger,\u00A02021c); US-Rws (Flerchinger,\u00A02021d); US-Seg (Litvak,\u00A02022b); US-Ses (Litvak,\u00A02022c); US-Slt (Clark,\u00A02016); US-Sne (Shortt et al.,\u00A02021); US-Snf (Kusak et al.,\u00A02020); US-SRC (Kurc,\u00A02019); US-SRG (Scott,\u00A02022b); US-SRM (Scott,\u00A02022c); US-Syv (Desai,\u00A02022b); US-Ton (Ma et al.\u00A02022a); US-Tw1 (Valach et al.,\u00A02021); US-Tw3 (Chamberlain et al.,\u00A02018); US-Tw4 (Eichelmann et al.,\u00A02021); US-Uaf (Uevama et al.,\u00A02022); US-Uib (Bernacchi,\u00A02022a); US-UiC (Bernacchi,\u00A02022b); US-UMB (Gough et al.,\u00A02022a); US-Umd (Gough et al.,\u00A02022b); US-Var (Ma et al.,\u00A02022b); US-Vcm (Litvak\u00A02022d); US-Vcp (Litvak,\u00A02022e); US-Wcr (Desai,\u00A02022c); US-Whs (Scott,\u00A02022d), Us-Wkg (Scott,\u00A02022e); US-Wrc (Wharton,\u00A02016); US-xAE (NEON,\u00A02022a); US-xBL (NEON,\u00A02022b); US-xBN (NEON,\u00A02022c); US-xBR (NEON,\u00A02022d); US-xCL (NEON,\u00A02022e); US-xCP (NEON,\u00A02022f); US-xDJ (NEON,\u00A02022g); US-xDL (NEON,\u00A02022h); US-xDS (NEON,\u00A02022i); US-xGR (NEON,\u00A02022j); US-xHA (NEON,\u00A02022k); US-xHE (NEON,\u00A02022l); US-xJE (NEON,\u00A02022m); US-xKA (NEON,\u00A02022n); US-xKZ (NOEN,\u00A02022o); UX-xLE (NEON,\u00A02022p); UX-xMB (NEON,\u00A02022q); UX-xML (NEON,\u00A02022r); US-xNG (NEON,\u00A02022s); US-xNO (NEON,\u00A02022t); US-xNW (NEON,\u00A02022u); US-xPU (NEON,\u00A02022v); US-xRM (NEON,\u00A02022w); US-xRN (NEON,\u00A02022x); US-xSB (NEON,\u00A02022y); US-xSC (NEON,\u00A02022z); US-xSE (NEON,\u00A02022aa); US-xSJ (NEON,\u00A02022bb); US-xSL (NEON,\u00A02022cc); US-xSP (NEON,\u00A02022dd); US-xSR (NEON,\u00A02022ee); US-xST (NEON,\u00A02022ff); US-xTA (NEON,\u00A02022gg); US-xTE (NEON,\u00A02022hh); US-xTR (NEON,\u00A02022ii); US-xUK (NEON,\u00A02022jj); US-xUN (NEON,\u00A02022kk); US-xWD (NEON,\u00A02022ll); US-xWR (NEON,\u00A02022mm); US-xYE (NEON,\u00A02022nn); Funding for the AmeriFlux data portal was provided by the U.S. Department of Energy Office of Science. K. Novick acknowledges support from the NSF Division of Integrative Organismal Biology (grant numbers 1006196 and 2243900) and the US Department of Energy via the Environmental System Science Programme (grant number DE\u2010SC0021980) and the AmeriFlux Management Project. M. P. Dannenberg and M. R. Johnston were supported by NSF EPSCoR grant 2131853. C. Grossiord was supported by the Swiss National Science Foundation (grant number 310030_204697) and the Sandoz Family Foundation. A. G. Konings was supported by the Alfred P. Sloan Foundation. L. Lowman was supported by the NSF Division of Earth Sciences (grant number 2228047). J. Mart\u00EDnez\u2010Vilalta was supported by Grant PID2021\u2010127452NB\u2010I00 funded by MCIN/AEI/10.13039/501100011033 and European Union NextGenerationEU/PRTR; grant 2021 SGR 00849 funded by AGAUR and ICREA Academia. N. McDowell was supported by the Department of Energy's Next Generation Ecosystem Experiment\u2010Tropics, and by the National Science Foundation. W. Sadok acknowledges support from USDA NIFA\u2010Minnesota Agricultural Experiment Station, Grant/Award Number: MIN\u201013\u2010124 and the AFRI Competitive Grant 2022\u201068013\u201036439 (WheatCAP) from the USDA NIFA. A. T. Trugman acknowledges funding from the NSF Grants 2003205 and 2216855 and the Gordon and Betty Moore Foundation Grant GBMF11974. A. P. Williams was supported by the Zegar Family Foundation, the Gordon and Betty Moore Foundation Grant GBMF11974, and the United States Department of Energy (grant number DE\u2010SC0022302). A. J. Wright was supported by an NSF Division of Environmental Biology CAREER award (grant number 2143186). We acknowledge helping editorial suggestions from Yi Yang. Finally, we would like to acknowledge the AmeriFlux Site PIs, including the National Ecological Observatory Network (NEON), who have generously shared their data to the network under the CC\u2010BY\u20104.0 data sharing license, including for the following site IDs: US\u2010A32 (Billesbach et al., 2018a ), US\u2010A74 (Billesbach et al., 2018b ), US\u2010AR1 (Billesbach et al., 2019a ), US\u2010AR2 (Billesbach et al., 2019b ), US\u2010ARM (Biraud et al. 2021 ); US\u2010Bi1 (Rey\u2010Sanchez et al. 2022a ); US\u2010Bi2 (Rey\u2010Sanchez et al., 2022b ); US\u2010BMM (Stoy & Brookshire, 2022 ); US\u2010BO1 (Meyers, 2016 ); US\u2010BO2 (Bernacchi et al., 2016 ); US\u2010BRG (Novick, 2020 ); US\u2010CMW (Scott, 2022a ); US\u2010Cpk (Ewers et al., 2016 ); US\u2010CRT (Chen & Chu, 2021 ); US\u2010CS2 (Desai et al., 2022a ); US\u2010DFC (Duff & Desai, 2020 ); US\u2010DK1 (Oishi et al., 2018a ); US\u2010DK2 (Oishi et al., 2018b ); US\u2010DK3 (Oishi et al., 2018c ); US\u2010GBT (Massman, 2016 ); US\u2010GLE (Frank & Massman, 2022 ); US\u2010HBK (Kelsey & Green, 2020 ); US\u2010HO1 (Hollinger, 2021 ); US\u2010HRC (Reba, 2021 ); US\u2010HWB (Gosley, 2021 ); US\u2010Jo1 (Tweedie, 2022 ); US\u2010KFS (Brunsell, 2022 ); US\u2010KM4 (Robertson & Chen, 2021 ); US\u2010KON (Brunsell, 2020 ); US\u2010KUT (McFadden, 2016 ); US\u2010LL1 (Starr, 2021a ); US\u2010LL2 (Starr, 2021b ); US\u2010LL3 (Starr, 2021c ); US\u2010Me2 (Law, 2022 ); US\u2010Me6 (Law, 2021 ); US\u2010MMS (Novick & Phillips, 2022 ); US\u2010MOz (Wood & Gu, 2021 ); US\u2010Mpj (Litvak, 2022a ); US\u2010MtB (Barron\u2010Gafford, 2022 ); US\u2010NC1 (Noormets, 2018 ); UC\u2010NC2 (Noormets, 2022 ); US\u2010NC3 (Noormets et al. 2022 ); US\u2010Ne1 (Suyker, 2022a ); US\u2010Ne2 (Suyker, 2022b ); US\u2010Ne3 (Suyker, 2022c ); US\u2010NGC (Torn & Dengel, 2020 ); US\u2010NR1 (Blanken et al., 2022 ); US\u2010Oho (Chen et al., 2021 ); US\u2010ONA (Silveira, 2022 ); US\u2010Prr (Kobayashi et al., 2019 ); US\u2010Rls (Flerchinger, 2021a ); US\u2010Rms (Flerchinger, 2021b ); US\u2010RO1 (Baker & Griffis, 2022 ); US\u2010Ro5 (Baker & Griffis, 2021a ); US\u2010Ro6 (Baker & Griffis, 2021b ); US\u2010Rwf (Flerchinger, 2021c ); US\u2010Rws (Flerchinger, 2021d ); US\u2010Seg (Litvak, 2022b ); US\u2010Ses (Litvak, 2022c ); US\u2010Slt (Clark, 2016 ); US\u2010Sne (Shortt et al., 2021 ); US\u2010Snf (Kusak et al., 2020 ); US\u2010SRC (Kurc, 2019 ); US\u2010SRG (Scott, 2022b ); US\u2010SRM (Scott, 2022c ); US\u2010Syv (Desai, 2022b ); US\u2010Ton (Ma et al. 2022a ); US\u2010Tw1 (Valach et al., 2021 ); US\u2010Tw3 (Chamberlain et al., 2018 ); US\u2010Tw4 (Eichelmann et al., 2021 ); US\u2010Uaf (Uevama et al., 2022 ); US\u2010Uib (Bernacchi, 2022a ); US\u2010UiC (Bernacchi, 2022b ); US\u2010UMB (Gough et al., 2022a ); US\u2010Umd (Gough et al., 2022b ); US\u2010Var (Ma et al., 2022b ); US\u2010Vcm (Litvak 2022d ); US\u2010Vcp (Litvak, 2022e ); US\u2010Wcr (Desai, 2022c ); US\u2010Whs (Scott, 2022d ), Us\u2010Wkg (Scott, 2022e ); US\u2010Wrc (Wharton, 2016 ); US\u2010xAE (NEON, 2022a ); US\u2010xBL (NEON, 2022b ); US\u2010xBN (NEON, 2022c ); US\u2010xBR (NEON, 2022d ); US\u2010xCL (NEON, 2022e ); US\u2010xCP (NEON, 2022f ); US\u2010xDJ (NEON, 2022g ); US\u2010xDL (NEON, 2022h ); US\u2010xDS (NEON, 2022i ); US\u2010xGR (NEON, 2022j ); US\u2010xHA (NEON, 2022k ); US\u2010xHE (NEON, 2022l ); US\u2010xJE (NEON, 2022m ); US\u2010xKA (NEON, 2022n ); US\u2010xKZ (NOEN, 2022o ); UX\u2010xLE (NEON, 2022p ); UX\u2010xMB (NEON, 2022q ); UX\u2010xML (NEON, 2022r ); US\u2010xNG (NEON, 2022s ); US\u2010xNO (NEON, 2022t ); US\u2010xNW (NEON, 2022u ); US\u2010xPU (NEON, 2022v ); US\u2010xRM (NEON, 2022w ); US\u2010xRN (NEON, 2022x ); US\u2010xSB (NEON, 2022y ); US\u2010xSC (NEON, 2022z ); US\u2010xSE (NEON, 2022aa ); US\u2010xSJ (NEON, 2022bb ); US\u2010xSL (NEON, 2022cc ); US\u2010xSP (NEON, 2022dd ); US\u2010xSR (NEON, 2022ee ); US\u2010xST (NEON, 2022ff ); US\u2010xTA (NEON, 2022gg ); US\u2010xTE (NEON, 2022hh ); US\u2010xTR (NEON, 2022ii ); US\u2010xUK (NEON, 2022jj ); US\u2010xUN (NEON, 2022kk ); US\u2010xWD (NEON, 2022ll ); US\u2010xWR (NEON, 2022mm ); US\u2010xYE (NEON, 2022nn ); Funding for the AmeriFlux data portal was provided by the U.S. Department of Energy Office of Science.
PY - 2024/9
Y1 - 2024/9
N2 - An exponential rise in the atmospheric vapour pressure deficit (VPD) is among the most consequential impacts of climate change in terrestrial ecosystems. Rising VPD has negative and cascading effects on nearly all aspects of plant function including photosynthesis, water status, growth and survival. These responses are exacerbated by land–atmosphere interactions that couple VPD to soil water and govern the evolution of drought, affecting a range of ecosystem services including carbon uptake, biodiversity, the provisioning of water resources and crop yields. However, despite the global nature of this phenomenon, research on how to incorporate these impacts into resilient management regimes is largely in its infancy, due in part to the entanglement of VPD trends with those of other co-evolving climate drivers. Here, we review the mechanistic bases of VPD impacts at a range of spatial scales, paying particular attention to the independent and interactive influence of VPD in the context of other environmental changes. We then evaluate the consequences of these impacts within key management contexts, including water resources, croplands, wildfire risk mitigation and management of natural grasslands and forests. We conclude with recommendations describing how management regimes could be altered to mitigate the otherwise highly deleterious consequences of rising VPD.
AB - An exponential rise in the atmospheric vapour pressure deficit (VPD) is among the most consequential impacts of climate change in terrestrial ecosystems. Rising VPD has negative and cascading effects on nearly all aspects of plant function including photosynthesis, water status, growth and survival. These responses are exacerbated by land–atmosphere interactions that couple VPD to soil water and govern the evolution of drought, affecting a range of ecosystem services including carbon uptake, biodiversity, the provisioning of water resources and crop yields. However, despite the global nature of this phenomenon, research on how to incorporate these impacts into resilient management regimes is largely in its infancy, due in part to the entanglement of VPD trends with those of other co-evolving climate drivers. Here, we review the mechanistic bases of VPD impacts at a range of spatial scales, paying particular attention to the independent and interactive influence of VPD in the context of other environmental changes. We then evaluate the consequences of these impacts within key management contexts, including water resources, croplands, wildfire risk mitigation and management of natural grasslands and forests. We conclude with recommendations describing how management regimes could be altered to mitigate the otherwise highly deleterious consequences of rising VPD.
KW - carbon cycling
KW - climate change
KW - drought
KW - management
KW - plant physiology
UR - http://www.scopus.com/inward/record.url?scp=85185493540&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85185493540&partnerID=8YFLogxK
U2 - 10.1111/pce.14846
DO - 10.1111/pce.14846
M3 - Review article
C2 - 38348610
AN - SCOPUS:85185493540
SN - 0140-7791
VL - 47
SP - 3561
EP - 3589
JO - Plant Cell and Environment
JF - Plant Cell and Environment
IS - 9
ER -