Automated Author ProfileWang, Wenzhi
Pacific Northwest National Laboratory
Wang, Wenzhi
Pacific Northwest National Laboratory
Current S-Index
0.6
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
0.6
Average Dataset Index per dataset
Total Datasets
1
Total datasets for this author
Average FAIR Score
76.9%
Average FAIR Score per dataset
Total Citations
1
Total citations to the author's datasets
Total Mentions
0
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 0.6 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
- Rising sea levels under climate change may have significant impacts on coastal vegetation dynamics, yet the response of coastal forest growth, gas-exchange, and survival to seawater intrusion remains poorly documented. 2. We conducted a dendroecology study across six sites in western Washington, USA, to examine how tree growth, gas exchange (indexed by basal area increment, BAI, and wood δ13C, respectively), and survival varies with seawater exposure through two approaches. First, tree core samples were collected at a site where seawater exposure started only four years prior to sampling, which allowed a cause-and-effect test of the impacts of seawater exposure on trees, and second, samples were collected at five additional sites where we compared downstream to upstream trees under current sea-level conditions. 3. At the seawater intrusion site, BAI and carbon isotope discrimination (Δ) decreased significantly (p < 0.01) in the year of intrusion (2014) and stayed unchanged thereafter. Four years later (2018), the percentage of recently standing dead trees in the forest was 73.0% basal area. Across the regional assessment, percentage of standing dead trees was significantly greater in downstream than upstream forests at five of the six sites (averaged 37.7±11.0% and 4.3±2.1% basal area for downstream and upstream, respectively). Growth was significantly lower (p < 0.01) at the downstream than upstream for five sites, and Δ was lower for all needle-leaf trees (three sites) on the downstream compared to the upstream, but no difference was observed between downstream and upstream for broad-leaf trees (three sites). 4. Synthesis Combined, both the cause-and-effect manipulative study and the regional assessment demonstrate that seawater exposure drives reductions in growth, decreased Δ of needle-leaf trees, increased mortality, and greater climate sensitivity, regardless of whether the seawater exposure is recent or long-term.
Authors
- Wang, Wenzhi ;
- McDowell, Nate G. ;
- Ward, Nicholas D. ;
- Indivero, Julia ;
- Gunn, Cailene ;
- Bailey, Vanessa L.
1 Citation0 Mentions77% FAIR0.6 Dataset Index
10.5061/dryad.4dn2qh92019