| 1. |
- Bansal, Sheel, et al.
(författare)
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Practical Guide to Measuring Wetland Carbon Pools and Fluxes
- 2023
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Ingår i: Wetlands (Wilmington, N.C.). - : SPRINGER. - 0277-5212 .- 1943-6246. ; 43:8
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Forskningsöversikt (refereegranskat)abstract
- Wetlands cover a small portion of the world, but have disproportionate influence on global carbon (C) sequestration, carbon dioxide and methane emissions, and aquatic C fluxes. However, the underlying biogeochemical processes that affect wetland C pools and fluxes are complex and dynamic, making measurements of wetland C challenging. Over decades of research, many observational, experimental, and analytical approaches have been developed to understand and quantify pools and fluxes of wetland C. Sampling approaches range in their representation of wetland C from short to long timeframes and local to landscape spatial scales. This review summarizes common and cutting-edge methodological approaches for quantifying wetland C pools and fluxes. We first define each of the major C pools and fluxes and provide rationale for their importance to wetland C dynamics. For each approach, we clarify what component of wetland C is measured and its spatial and temporal representativeness and constraints. We describe practical considerations for each approach, such as where and when an approach is typically used, who can conduct the measurements (expertise, training requirements), and how approaches are conducted, including considerations on equipment complexity and costs. Finally, we review key covariates and ancillary measurements that enhance the interpretation of findings and facilitate model development. The protocols that we describe to measure soil, water, vegetation, and gases are also relevant for related disciplines such as ecology. Improved quality and consistency of data collection and reporting across studies will help reduce global uncertainties and develop management strategies to use wetlands as nature-based climate solutions.
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| 2. |
- Calbet, José A L, et al.
(författare)
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Limitations to oxygen transport and utilisation during sprint exercise in humans : evidence for a functional reserve in muscle O2 diffusing capacity.
- 2015
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Ingår i: Journal of Physiology. - 0022-3751 .- 1469-7793. ; 593:20, s. 4649-4664
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Tidskriftsartikel (refereegranskat)abstract
- KEY POINTS SUMMARY: Severe acute hypoxia reduces sprint performance. Muscle VO2 during sprint exercise in normoxia is not limited by O2 delivery, O2 off-loading from haemoglobin or structure-dependent diffusion constraints in the skeletal muscle of young healthy men. A large functional reserve in muscle O2 diffusing capacity exists and remains available at exhaustion during exercise in normoxia, which is recruited during exercise in hypoxia. During whole-body incremental exercise to exhaustion in severe hypoxia leg VO2 is primarily dependent on convective O2 delivery and less limited by diffusion constraints than previously thought. The kinetics of O2 off-loading from haemoglobin does not limit VO2 peak in hypoxia. Our results indicate that the limitation to VO2 during short sprints resides in mechanisms regulating mitochondrial respiration.ABSTRACT: To determine the contribution of convective and diffusive limitations to VO2 peak during exercise in humans oxygen transport and haemodynamics were measured in eleven men (22 ± 2 years) during incremental (IE) and 30-s all-out sprints (Wingate test, WgT), in normoxia (Nx, PI O2 :143 mmHg) and hypoxia (Hyp, PI O2 :73 mmHg). Carboxyhaemoglobin (COHb) was increased to 6-7% before both WgTs to left-shift the oxyhaemoglobin dissociation curve. Leg VO2 was measured by the Fick method, and leg blood flow (BF) with thermodilution and muscle O2 diffusing capacity (DMO2 ) was calculated. In the WgT mean power output, leg BF, leg O2 delivery and leg VO2 were 7, 5, 28 and 23% lower in Hyp than Nx (P < 0.05), however, peak WgT DMO2 was higher in hypoxia (51.5 ± 9.7) than Nx (20.5 ± 3.0 ml min(-1) mmHg(-1) , P < 0.05). Despite a similar PaO2 (33.3 ± 2.4 and 34.1 ± 3.3 mmHg), mean capillary PO2 (16.7 ± 1.2 and 17.1 ± 1.6 mmHg), and peak perfusion during IE and WgT in Hyp, DMO2 and leg VO2 were 12 and 14% higher during WgT than IE in Hyp (both, P < 0.05). DMO2 was apparently insensitive to COHb (COHb: 0.7 vs 7%, in IE Hyp and WgT Hyp). At exhaustion, the Y equilibration index was well above 1.0 in both conditions, reflecting greater convective than diffusive limitation to the O2 transfer both in Nx and Hyp. In conclusion, muscle VO2 during sprint exercise is not limited by O2 delivery, the O2 off-loading from haemoglobin or structure-dependent diffusion constraints in the skeletal muscle. These findings reveal a remarkable functional reserve in muscle O2 diffusing capacity. This article is protected by copyright. All rights reserved.
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| 3. |
- Rosdahl, Hans, et al.
(författare)
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Physiology of canoeing
- 2019. - 1
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Ingår i: Canoeing. - Hoboken, NJ : Wiley-Blackwell. - 9781119097204 ; , s. 47-61
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Bokkapitel (övrigt vetenskapligt/konstnärligt)
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| 4. |
- Zhang, Zhen, et al.
(författare)
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Characterizing Performance of Freshwater Wetland Methane Models Across Time Scales at FLUXNET-CH4 Sites Using Wavelet Analyses
- 2023
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Ingår i: Journal of Geophysical Research: Biogeosciences. - 2169-8953. ; 128:11
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Tidskriftsartikel (refereegranskat)abstract
- Process-based land surface models are important tools for estimating global wetland methane (CH4) emissions and projecting their behavior across space and time. So far there are no performance assessments of model responses to drivers at multiple time scales. In this study, we apply wavelet analysis to identify the dominant time scales contributing to model uncertainty in the frequency domain. We evaluate seven wetland models at 23 eddy covariance tower sites. Our study first characterizes site-level patterns of freshwater wetland CH4 fluxes (FCH4) at different time scales. A Monte Carlo approach was developed to incorporate flux observation error to avoid misidentification of the time scales that dominate model error. Our results suggest that (a) significant model-observation disagreements are mainly at multi-day time scales (<15 days); (b) most of the models can capture the CH4 variability at monthly and seasonal time scales (>32 days) for the boreal and Arctic tundra wetland sites but have significant bias in variability at seasonal time scales for temperate and tropical/subtropical sites; (c) model errors exhibit increasing power spectrum as time scale increases, indicating that biases at time scales <5 days could contribute to persistent systematic biases on longer time scales; and (d) differences in error pattern are related to model structure (e.g., proxy of CH4 production). Our evaluation suggests the need to accurately replicate FCH4 variability, especially at short time scales, in future wetland CH4 model developments.
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