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Plant Sci."],"abstract":"<jats:p>Acclimation strategies in xerophytic plants to stressed environmental conditions vary with temporal scales. Our understanding of environmentally-induced variation in photosystem II (PSII) processes as a function of temporal scales is limited, as most studies have thus far been based on short-term, laboratory-controlled experiments. In a study of PSII processes, we acquired near-continuous, field-based measurements of PSII-energy partitioning in a dominant desert-shrub species, namely <jats:italic>Artemisia ordosica<\/jats:italic>, over a six-year period from 2012\u20132017. Continuous-wavelet transformation (CWT) and wavelet coherence analyses (WTC) were employed to examine the role of environmental variables in controlling the variation in the three main PSII-energy allocation pathways, i.e., photochemical efficiency and regulated and non-regulated thermal dissipation, i.e., <jats:italic>\u03a6<\/jats:italic><jats:sub>PSII<\/jats:sub>, <jats:italic>\u03a6<\/jats:italic><jats:sub>NPQ<\/jats:sub>, and <jats:italic>\u03a6<\/jats:italic><jats:sub>NO<\/jats:sub>, respectively, across a time-frequency domain from hours to years. Convergent cross mapping (CCM) was subsequently used to isolate cause-and-effect interactions in PSII-energy partitioning response. The CWT method revealed that the three PSII-energy allocation pathways all had distinct daily periodicities, oscillating abruptly at intermediate timescales from days to weeks. On a diurnal scale, WTC revealed that all three pathways were influenced by photosynthetically active radiation (<jats:italic>PAR<\/jats:italic>), air temperature (<jats:italic>T<\/jats:italic><jats:sub>a<\/jats:sub>), and vapor pressure deficit (<jats:italic>VPD<\/jats:italic>). By comparing associated time lags for the three forms of energy partitioning at diurnal scales, revealed that the sensitivity of response was more acutely influenced by <jats:italic>PAR<\/jats:italic>, declining thereafter with the other environmental variables, such that the order of influence was greatest for <jats:italic>T<\/jats:italic><jats:sub>a<\/jats:sub>, followed by <jats:italic>VPD<\/jats:italic>, and then soil water content (<jats:italic>SWC)<\/jats:italic>. PSII-energy partitioning on a seasonal scale, in contrast, displayed greater variability among the different environmental variables, e.g., <jats:italic>\u03a6<\/jats:italic><jats:sub>PSII<\/jats:sub> and <jats:italic>\u03a6<\/jats:italic><jats:sub>NO<\/jats:sub> being more predisposed to changes in <jats:italic>T<\/jats:italic><jats:sub>a<\/jats:sub>, and <jats:italic>\u03a6<\/jats:italic><jats:sub>NPQ<\/jats:sub> to changes in <jats:italic>VPD<\/jats:italic>. CCM confirmed the causal relationship between pairings of PSII-energy allocation pathways, according to shrub phenology. <jats:italic>A. ordosica<\/jats:italic> is shown to have an innate ability to (i) repair damaged PSII-photochemical apparatus (maximum quantum yield of PSII photochemistry, with <jats:italic>F<\/jats:italic><jats:sub>v<\/jats:sub>\/<jats:italic>F<\/jats:italic><jats:sub>m<\/jats:sub> &amp;gt; 0.78), and (ii) acclimatize to excessive <jats:italic>PAR<\/jats:italic>, dry-air conditions, and prolonged drought. <jats:italic>A. ordosica<\/jats:italic> is relatively sensitive to extreme temperature and exhibits photoinhibition.<\/jats:p>","DOI":"10.3389\/fpls.2022.1057943","type":"journal-article","created":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T14:08:02Z","timestamp":1667484482000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":10,"title":["Temporal heterogeneity in photosystem II photochemistry in Artemisia ordosica under a fluctuating desert environment"],"prefix":"10.3389","volume":"13","author":[{"given":"Chuan","family":"Jin","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tianshan","family":"Zha","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Charles P.-A.","family":"Bourque","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xin","family":"Jia","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yun","family":"Tian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peng","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinhao","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinyue","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaonan","family":"Guo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mingze","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoyu","family":"Kang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zifan","family":"Guo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ning","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2022,11,3]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/S0168-1923(00)00228-8","article-title":"A spectral analysis of biosphere\u2013atmosphere trace gas flux densities and meteorological variables across hour to multi-year time scales","volume":"107","author":"Baldocchi","year":"2001","journal-title":"Agric. 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