In the MELNHE project, we are conducting nutrient manipulations in three study sites in the White Mountain National Forest in New Hampshire: Bartlett Experimental Forest, Hubbard Brook Experimental Forest, and Jeffers Brook. We monitored foliar chemistry in 11 of our stands pre-treatment (2008-2010) and post-treatment (2014-2016 and 2021-22). In 2021-22 , we also measured specific leaf area, leaf dry matter content, carbon isotope composition, and stomatal density. This dataset includes scans of the foliage sampled in 2021-22, used to measure leaf area, and photos of all foliage samples used for trait measurements and chemical analysis. For the corresponding trait and chemistry data, please see the following dataset: https://portal.edirepository.org/nis/mapbrowse?packageid=knb-lter-hbr.313.1 Additional detail on the MELNHE project, including a datatable of site descriptions and a pdf file with the project description and diagram of plot configuration can be found in this data package: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-hbr&identifier=344 These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station. Some of these data have been published in: Jenna M Zukswert, Matthew A Vadeboncoeur, Ruth D Yanai, Responses of stomatal density and carbon isotope composition of sugar maple and yellow birch foliage to N, P and CaSiO3 fertilization, Tree Physiology, Volume 44, Issue 1, January 2024, tpad142, https://doi.org/10.1093/treephys/tpad142 
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                            Responses of stomatal density and carbon isotope composition of sugar maple and yellow birch foliage to N, P and CaSiO3 fertilization
                        
                    
    
            Abstract Stomatal density, stomatal length and carbon isotope composition can all provide insights into environmental controls on photosynthesis and transpiration. Stomatal measurements can be time-consuming; it is therefore wise to consider efficient sampling schemes. Knowing the variance partitioning at different measurement levels (i.e., among stands, plots, trees, leaves and within leaves) can aid in making informed decisions around where to focus sampling effort. In this study, we explored the effects of nitrogen (N), phosphorus (P) and calcium silicate (CaSiO3) addition on stomatal density, length and carbon isotope composition (δ13C) of sugar maple (Acer saccharum Marsh.) and yellow birch (Betula alleghaniensis Britton). We observed a positive but small (8%) increase in stomatal density with P addition and an increase in δ13C with N and CaSiO3 addition in sugar maple, but we did not observe effects of nutrient addition on these characteristics in yellow birch. Variability was highest within leaves and among trees for stomatal density and highest among stomata for stomatal length. To reduce variability and increase chances of detecting treatment differences in stomatal density and length, future protocols should consider pretreatment and repeated measurements of trees over time or measure more trees per plot, increase the number of leaf impressions or standardize their locations, measure more stomata per image and ensure consistent light availability. 
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                            - PAR ID:
- 10489794
- Editor(s):
- Inselsbacher, Erich
- Publisher / Repository:
- Oxford University Press
- Date Published:
- Journal Name:
- Tree Physiology
- ISSN:
- 1758-4469
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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