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        <datestamp>2026-10-02T21:25:18Z</datestamp>
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          <dc:title>Global convergence of optimal photosynthetic responses to atmospheric dryness</dc:title>
          <dc:creator>Yan Guo (23577478)</dc:creator>
          <dc:creator>Lixin Wang (14163557)</dc:creator>
          <dc:creator>Ying Sun (21147954)</dc:creator>
          <dc:subject>Ecohydrology</dc:subject>
          <dc:subject>Gross Primary Productivity (GPP)</dc:subject>
          <dc:subject>Vapor pressure deficit (VPD)</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;Terrestrial gross primary productivity (GPP) is central to the global carbon cycle, and it is strongly constrained by atmospheric dryness (i.e., vapor pressure deficit, VPD). Most existing studies assume a monotonic decline in GPP with increasing VPD. Guided by an optimality framework, we predict that GPP responses to VPD are inherently non-monotonic and that an optimal VPD (i.e., the VPD at which the ecosystem shows peak GPP) exists. Using 162 FLUXNET sites globally, we found that more than 96% exhibited an optimal VPD. The ubiquitous optimal VPD is independently observed at the leaf scale using a global gas-exchange dataset. Interestingly, optimal VPD converges to mean ambient VPD across biomes and spatial scales (from leaf to ecosystem scales), driven by dynamic optimal-ambient VPD relationships over time. The results suggest a dynamic photosynthetic adjustment to atmospheric dryness. These findings establish a unified GPP-VPD relationship with implications for carbon-water coupling predictions under a warming and drying climate.&lt;/p&gt;</dc:description>
          <dc:date>2026-10-02T21:25:18Z</dc:date>
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          <dc:identifier>10.6084/m9.figshare.31792345.v1</dc:identifier>
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