Browsing by Subject "carbon"
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Item Embargo Exploring Net Community Production estimates and drivers in the North Pacific and North Atlantic(2024) Niebergall, Alexandria KaterinaThe Biological Carbon Pump (BCP) is a natural mechanism in the ocean that exports carbon in the deep ocean and is estimated to transfer between 5 and 12 Pg C from the surface to the deep ocean annually. While the underlying mechanisms of this process – primary producers create organic carbon from CO2 through photosynthesis, some of this organic carbon is recycled in the surface ocean, while some of it is exported to depth via physical or biological processes – have been identified for decades, this process remains difficult to quantify and predict. We estimate the carbon export potential from the surface ocean by estimating net community production (NCP) from continuously measured in situ O2/Ar ratios. In this dissertation, I aimed to assess the coherence of many methods of measuring NCP and determine factors, both physical and biological, that drive changes in NCP. Together, these goals allowed me to offer suggestions to improve modeling efforts to estimate the BCP from autonomous or remote sensing observations. To explore these topics, I used many different methods. In Chapter 2, I showed that measurements of NCP collected from different methods were consistent around Ocean Station Papa in the North Pacific after accounting for spatial heterogeneity. I compared estimates of NCP from shipboard O2/Ar measurements; O2, NO3-, particulate organic carbon (POC), and dissolved inorganic carbon (DIC) measurements from autonomous platforms, and shipboard incubations based on changes in Chl a and NO3-. I used a generalized additive mixed model to compare the datasets when spatial and temporal differences in the measurements were considered. In Chapter 3, I explored drivers of NCP by comparing how NCP related to various in situ biomarkers and biogeochemical rates measurements. I used moving Pearson’s correlations to assess how continuous measurements of biomarkers such as Chl a, POC, phytoplankton carbon, temperature, and community particle size distribution correlated to changes in continuous NCP. In addition, I showed that NCP was likely driven by changes in production, rather than respiration, in both the North Pacific and North Atlantic by comparing NCP with incubation-based estimates of gross primary production (GPP), net primary production (NPP), and microbial community respiration (mCR). Finally, I modeled NCP from the available biomarker data and determined that POC is a better proxy for estimating NCP than Chl a, in both locations. Finally, in Chapter 4, I examined how changes in the microbial community (from 16S and 18S amplicon sequencing) paired with changes in NCP in the North Pacific. I showed that at coarse taxonomic groupings, such as Phylum, Class, or plankton functional type, had no correlation to changes in NCP, while individual amplicon sequencing variants (ASVs) had strong correlations to changes in the surface ocean organic carbon balance. This indicates a need for increased granularity in microbial community composition estimates to effectively model NCP or carbon export from surface ocean microbial communities. Altogether, my research increases confidence in global NCP estimates from various platforms, presents potential improvements to biogeochemical modelling efforts, and suggests that respiration does not drive changes in NCP in the ocean.
Item Open Access Growth and physiological responses of isohydric and anisohydric poplars to drought.(J Exp Bot, 2015-07) Attia, Ziv; Domec, Jean-Christophe; Oren, Ram; Way, Danielle A; Moshelion, MenachemUnderstanding how different plants prioritize carbon gain and drought vulnerability under a variable water supply is important for predicting which trees will maximize woody biomass production under different environmental conditions. Here, Populus balsamifera (BS, isohydric genotype), P. simonii (SI, previously uncharacterized stomatal behaviour), and their cross, P. balsamifera x simonii (BSxSI, anisohydric genotype) were studied to assess the physiological basis for biomass accumulation and water-use efficiency across a range of water availabilities. Under ample water, whole plant stomatal conductance (gs), transpiration (E), and growth rates were higher in anisohydric genotypes (SI and BSxSI) than in isohydric poplars (BS). Under drought, all genotypes regulated the leaf to stem water potential gradient via changes in gs, synchronizing leaf hydraulic conductance (Kleaf) and E: isohydric plants reduced Kleaf, gs, and E, whereas anisohydric genotypes maintained high Kleaf and E, which reduced both leaf and stem water potentials. Nevertheless, SI poplars reduced their plant hydraulic conductance (Kplant) during water stress and, unlike, BSxSI plants, recovered rapidly from drought. Low gs of the isohydric BS under drought reduced CO2 assimilation rates and biomass potential under moderate water stress. While anisohydric genotypes had the fastest growth under ample water and higher photosynthetic rates under increasing water stress, isohydric poplars had higher water-use efficiency. Overall, the results indicate three strategies for how closely related biomass species deal with water stress: survival-isohydric (BS), sensitive-anisohydric (BSxSI), and resilience-anisohydric (SI). Implications for woody biomass growth, water-use efficiency, and survival under variable environmental conditions are discussed.Item Open Access Old growth Afrotropical forests critical for maintaining forest carbon(Global Ecology and Biogeography, 2020-10-01) Poulsen, JR; Medjibe, VP; White, LJT; Miao, Z; Banak-Ngok, L; Beirne, C; Clark, CJ; Cuni-Sanchez, A; Disney, M; Doucet, JL; Lee, ME; Lewis, SL; Mitchard, E; Nuñez, CL; Reitsma, J; Saatchi, S; Scott, CTAim: Large trees [≥ 70 cm diameter at breast height (DBH)] contribute disproportionately to aboveground carbon stock (AGC) across the tropics but may be vulnerable to changing climate and human activities. Here we determine the distribution, drivers and threats to large trees and high carbon forest. Location: Central Africa. Time period: Current. Major taxa studied: Trees. Methods: Using Gabon's new National Resource Inventory of 104 field sites, AGC was calculated from 67,466 trees from 578 species and 97 genera. Power and Michaelis–Menten models assessed the contribution of large trees to AGC. Environmental and anthropogenic drivers of AGC, large trees, and stand variables were modelled using Akaike’s information criterion (AIC) weights to calculate average regression coefficients for all p. ossible models. Results: Mean AGC for trees ≥ 10 cm DBH in Gabonese forestlands was 141.7 Mg C/ha, with averages of 166.6, 171.3 and 96.6 Mg C/ha in old growth, concession and secondary forest. High carbon forests occurred where large trees are most abundant: 31% of AGC was stored in large trees (2.3% of all stems). Human activities largely drove variation in AGC and large trees, but climate and edaphic conditions also determined stand variables (basal area, tree height, wood density, stem density). AGC and large trees increased with distance from human settlements; AGC was 40% lower in secondary than primary and concession forests and 33% higher in protected than non-managed areas. Main conclusions: AGC and large trees were negatively associated with human activities, highlighting the importance of forest management. Redefining large trees as ≥ 50 cm DBH (4.3% more stems) would account for 20% more AGC. This study demonstrates that protecting relatively undisturbed forests can be disproportionately effective in conserving carbon and suggests that including sustainable forestry in programs like reduced emissions for deforestation and forest degradation could maintain carbon dense forests in logging concessions that are a large proportion of remaining Central African forests.