Greenhouse Gas Emissions from Reservoir Water Surfaces: A New Global Synthesis

Deemer, Bridget R.; Harrison, John; Li, Siyue; Beaulieu, Jake J.; DelSontro, Tonya; Barros, Nathan; Bezerra‐Neto, José Fernandes; Powers, Stephen M.; Santos, Marco Aurélio dos; Vonk, J. Arie

doi:10.1093/biosci/biw117

Cited by 686 publications

(851 citation statements)

References 82 publications

Supporting

Mentioning

785

Contrasting

Unclassified

Order By: Relevance

“…These estimates corresponded roughly to 2% of global carbon emissions from inland waters that reported a flux of 2100 Tg C yr −1 as CO 2 [13]. Although there was a minor difference between the estimated global CO 2 flux from hydroelectric systems and all reservoir systems, any significant difference between the areal emissions of CO 2 from hydroelectric and non-hydroelectric reservoirs was not detected by statistical analysis [12]. Depending on reservoir type, GHG emissions from reservoirs are related to various factors, which is crucial for understanding the mechanism and the control over GHG emissions.…”

Section: Introductionmentioning

confidence: 82%

“…However, the magnitude of global flux of GHG from reservoirs is still highly debatable [10]. According to the current estimations of global carbon dioxide (CO 2 ) emissions, the hydroelectric reservoirs were responsible for emitting 48 Tg C yr −1 as CO 2 [11], while Demmer et al [12] estimated that GHG emissions accounted for 36.8 Tg C yr −1 as CO 2 ignoring the types of reservoirs. These estimates corresponded roughly to 2% of global carbon emissions from inland waters that reported a flux of 2100 Tg C yr −1 as CO 2 [13].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Estimating Carbon Dioxide (CO2) Emissions from Reservoirs Using Artificial Neural Networks

Chen

Huang

2018

Water

View full text Add to dashboard Cite

Freshwater reservoirs are considered as the source of atmospheric greenhouse gas (GHG), but more than 96% of global reservoirs have never been monitored. Compared to the difficulty and high cost of field measurements, statistical models are a better choice to simulate the carbon emissions from reservoirs. In this study, two types of Artificial Neural Networks (ANNs), Back Propagation Neural Network (BPNN) and Generalized Regression Neural Network (GRNN), were used to predict carbon dioxide (CO 2 ) flux emissions from reservoirs based on the published data. Input variables, which were latitude, age, the potential net primary productivity, and mean depth, were selected by Spearman correlation analysis, and then the rationality of these inputs was proved by sensitivity analysis. Besides this, a Multiple Non-Linear Regression (MNLR) and a Multiple Linear Regression (MLR) were used for comparison with ANNs. The performance of models was assessed by statistical metrics both in training and testing phases. The results indicated that ANNs gave more accurate results than regression models and GRNN provided the best performance. With the help of this GRNN, the total CO 2 emitted by global reservoirs was estimated and possible CO 2 flux emissions from a planned reservoir was assessed, which illustrated the potential application of GRNN.

show abstract

Section: Introductionmentioning

confidence: 82%

Section: Introductionmentioning

confidence: 99%

Estimating Carbon Dioxide (CO2) Emissions from Reservoirs Using Artificial Neural Networks

Chen

Huang

2018

Water

View full text Add to dashboard Cite

show abstract

“…Such analysis is urgent and relevant because under certain conditions, sediment deficits could induce large-scale system transformations, such as net subsidence of wetland and floodplain areas and a progressive transformation into permanent water bodies. The wide range of increased sediment retention in future scenarios must also be a consideration in the assessment of hydropower contributions to carbon budgets, as studies have indicated a relationship of reservoirs' retention of organic sediments with 10 greenhouse gas emissions (Deemer et al, 2016;Maeck et al, 2013) Loss of longitudinal connectivity by dams has been reported as one of the major threats to fish in the MRB, especially for migratory species and commonly fished species (Carvajal-Quintero et al, 2017;López-Casas et al, 2016). Those findings are supported by the results presented here, where the highest values of river fragmentation (worst scenarios up to 97.3%) are incurred by dams situated between 400 and 1500 masl ( Figure 6).…”

Section: Discussionmentioning

confidence: 99%

Large-scale impacts of hydropower development on the Mompós Depression wetlands, Colombia

Angarita¹,

Wickel²,

Sieber³

et al. 2017

Preprint

View full text Add to dashboard Cite

A number of large hydropower dams are currently under development or in an advanced stage of planning in the Magdalena River basin, Colombia, spelling uncertainty for the Mompós Depression wetlands, one of the largest wetland systems in South America. Annual large-scale inundation of floodplains and associated wetlands regulates water-, nutrient-, and sediment cycles, which in turn sustain a wealth of ecological processes and ecosystem services, including critical food 15 supplies. In this study, we present a comparative analysis of the potential effects of hydropower expansion to meet projected electricity requirements by 2050, in terms of 1) basin-level implications of cumulative changes in streamflow regime, sediment trapping, and loss of river connectivity, and 2) the impact of upstream regulation on the hydrologic dynamics of the Mompós Depression wetlands at a monthly to decadal scale. To this end, we developed an enhancement of the Water Evaluation and Planning system (WEAP) that allows resolution of the Mompós Depression floodplains water balance at a 20 medium scale (~1000 to 10 000 km 2 ) and evaluation of the potential impacts of upstream water management practices. Our results indicate that potential additional impacts of new hydropower infrastructure with respect to baseline conditions can range up to one order of magnitude between scenarios that are comparable in terms of energy capacity. Fragmentation of connectivity corridors between lowland floodplains and upstream spawning habitats and reduction of sediment loads show the greatest impacts, with potential reductions of up to 97.6 and 80%, respectively, from pre-dam conditions. In some 25 development scenarios, the amount of water regulated and withheld by upstream infrastructure is of similar magnitude to existing fluxes involved in the episodic inundation of the floodplain during dry periods and, thus, can also induce substantial changes in floodplain seasonal dynamics of average-to-dry years in some areas of the Mompós Depression.

show abstract

“…On the other hand, land use changes that cause flooding and creation of wetlands can alter C pools through the saturation and burial of organic C (Knoll et al 2014). Despite the potential for C sequestration, reservoir formation leads to increased GHG emissions, primarily because of CH 4 emissions from ponded water and highly fluctuating water levels in reservoirs compared to natural lakes (Deemer et al 2016;Hayes et al 2017).…”

Section: Part 1: Wetlands In a Changing Climate: The Sciencementioning

confidence: 99%

Wetlands In a Changing Climate: Science, Policy and Management

Moomaw

Chmura

Davies³

et al. 2018

Wetlands

299

142

View full text Add to dashboard Cite

Part 1 of this review synthesizes recent research on status and climate vulnerability of freshwater and saltwater wetlands, and their contribution to addressing climate change (carbon cycle, adaptation, resilience). Peatlands and vegetated coastal wetlands are among the most carbon rich sinks on the planet sequestering approximately as much carbon as do global forest ecosystems. Estimates of the consequences of rising temperature on current wetland carbon storage and future carbon sequestration potential are summarized. We also demonstrate the need to prevent drying of wetlands and thawing of permafrost by disturbances and rising temperatures to protect wetland carbon stores and climate adaptation/resiliency ecosystem services. Preventing further wetland loss is found to be important in limiting future emissions to meet climate goals, but is seldom considered. In Part 2, the paper explores the policy and management realm from international to national, subnational and local levels to identify strategies and policies reflecting an integrated understanding of both wetland and climate change science. Specific recommendations are made to capture synergies between wetlands and carbon cycle management, adaptation and resiliency to further enable researchers, policy makers and practitioners to protect wetland carbon and climate adaptation/resiliency ecosystem services.

show abstract

Greenhouse Gas Emissions from Reservoir Water Surfaces: A New Global Synthesis

Cited by 686 publications

References 82 publications

Estimating Carbon Dioxide (CO2) Emissions from Reservoirs Using Artificial Neural Networks

Estimating Carbon Dioxide (CO2) Emissions from Reservoirs Using Artificial Neural Networks

Large-scale impacts of hydropower development on the Mompós Depression wetlands, Colombia

Wetlands In a Changing Climate: Science, Policy and Management

Contact Info

Product

Resources

About