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  • 1
    Online Resource
    Online Resource
    Cham :Springer International Publishing AG,
    Keywords: Mangrove ecology. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (407 pages)
    Edition: 1st ed.
    ISBN: 9783319622064
    DDC: 574.52632500000004
    Language: English
    Note: Intro -- Foreword -- Literature Cited -- Reviewers -- Acknowledgments -- Contents -- Chapter 1: Introduction -- 1.1 Relevance: A Short Story -- 1.2 Approach: Integration and Ecosystem Services -- References -- Chapter 2: Mangrove Floristics and Biogeography Revisited: Further Deductions from Biodiversity Hot Spots, Ancestral Discontinuities, and Common Evolutionary Processes -- 2.1 Introduction -- 2.2 Factors Influencing Mangrove Distributions -- 2.2.1 Floristics and Biogeography -- 2.2.2 Extant Influencing Factors -- 2.2.3 Dispersal Pathways and Evolutionary Processes -- 2.3 Floristics and Distribution -- 2.4 Dispersal Pathways and Evolutionary Processes -- 2.5 Dispersal Barriers -- 2.6 Discontinuities and Deductions Surrounding Relict Barriers -- 2.7 Localized Extinction Events and Recovery -- 2.8 Time Line of Geological Events, Dispersal, and Speciation -- 2.9 Shared Evolutionary Processes and Dispersal Pathways -- 2.10 Common Drivers of Diversification and Speciation -- 2.11 Summary and Conclusions -- Appendix 1 -- Appendix 2 -- References -- Chapter 3: Biodiversity -- 3.1 Introduction -- 3.2 Components of Mangrove Biodiversity -- 3.2.1 Genetic Diversity of Mangroves -- 3.2.2 Functional, Taxonomic and Habitat Components of Mangrove Biodiversity -- 3.2.2.1 Plants and Lichens -- 3.2.2.2 Marine Macrofauna -- 3.2.2.3 Terrestrial Vertebrates -- 3.2.2.4 Decomposers -- 3.2.2.4.1 Woody Substrates -- Fungi -- Fungal-Like Organisms -- Prokaryotes -- Animal Wood Borers -- 3.2.2.4.2 Leaf Substrates -- Macrofauna -- Fungi -- Fungal-Like Organisms -- 3.2.2.4.3 Meiofauna in Sediment -- 3.3 Mangrove Biodiversity and Ecosystem Function -- 3.4 The Future of Mangrove Biodiversity -- References -- Chapter 4: Spatial Ecology of Mangrove Forests: A Remote Sensing Perspective -- 4.1 Introduction -- 4.2 Dimensions of Measurement. , 4.2.1 Coverage and Spatial Resolution -- 4.2.2 Changes over Time -- 4.2.3 Spectral Information -- 4.2.4 The Third Dimension -- 4.2.5 Above-ground Biomass (AGB) -- 4.3 Towards Characterization of Mangrove Habitats and Their Management -- 4.3.1 Habitat Structural Complexity at Local Scales -- 4.3.2 Connectivity at Different Scales -- 4.3.3 Challenges for Coastal Zone Management -- 4.4 6. Summary -- References -- Chapter 5: Productivity and Carbon Dynamics in Mangrove Wetlands -- 5.1 Introduction -- 5.1.1 Coastal Environmental Settings -- 5.1.2 Conceptual Model of Productivity and Carbon Dynamics -- 5.2 Aboveground Biomass -- 5.3 Aboveground Net Primary Productivity -- 5.3.1 Litter Fall -- 5.3.2 Wood Production -- 5.4 BGB and Root Productivity -- 5.5 Allocation Ratios of Biomass and Production -- 5.6 Soil CO2 Efflux and Accumulation Rates -- 5.7 Net Estuarine Exchange with Mangrove Wetlands (NTEM) -- 5.8 Net Ecosystem Carbon Exchange -- 5.9 Disturbance and Carbon Exchange -- References -- Chapter 6: Biogeochemical Cycles: Global Approaches and Perspectives -- 6.1 Introduction -- 6.2 Characteristics of Mangrove Substrata -- 6.2.1 Terms and Definitions -- Sediment or Soil? -- 6.2.2 Litter Fall and Sediment Organic Matter -- 6.2.3 Sediment Geochemical Characteristics -- 6.3 Factors Affecting Element Cycling in Mangrove Sediments -- 6.3.1 Carbon Oxidation and Partitioning of Electron Acceptors -- 6.3.2 The Importance of Nitrogen and Phosphorus Nutrients -- 6.3.3 The Impact of Benthic Fauna -- 6.3.4 The Importance of Hydroperiod and Hydrology -- 6.4 Greenhouse Gas (GHG) Balance of Mangrove Ecosystems -- 6.5 Ecosystem Services: Local and Global Perspectives -- 6.6 Conclusions and Research Directions -- References -- Chapter 7: Mangrove Ecosystems under Climate Change -- 7.1 Introduction -- 7.2 Climate Change Effects -- 7.2.1 Direct Effects. , 7.2.2 Indirect Effects -- 7.3 Response to Climate Change -- 7.3.1 Distribution, Diversity, and Community Composition -- 7.3.1.1 Geographic Distribution and Shoreline Position -- 7.3.1.2 Diversity and Community Composition -- 7.3.2 Physiology of Flora and Fauna -- 7.3.2.1 Flora -- 7.3.2.2 Fauna -- 7.3.3 Water Budget -- 7.3.4 Productivity and Remineralization -- 7.3.5 Carbon Storage in Biomass and Sediments -- 7.3.6 Filter Function for Elements Beneficial or Harmful to Life -- 7.4 Vulnerability of Regions -- 7.5 Interaction with Human Interventions -- 7.6 Effects on Ecosystem Services -- 7.7 Adaptation and Management Options -- 7.8 Knowledge Gaps and Future Directions -- References -- Chapter 8: Mangroves and People: Local Ecosystem Services in a Changing Climate -- 8.1 Introduction -- 8.1.1 The Value of Local Ecosystem Services -- 8.1.2 Defining Local Services -- 8.2 Fuel Wood and Charcoal -- 8.3 Timber, Thatch and Fodder -- 8.4 Mangrove Crab Fisheries -- 8.5 Mangrove Fin-Fisheries -- 8.6 Coastal Protection -- 8.7 The Vulnerability of Local Mangrove Services to Climate Change -- 8.7.1 Mangrove Forests and Sea Level Rise -- 8.7.2 Range Extensions of Mangrove Forests -- 8.7.3 Range Extensions of Fisheries Species -- 8.7.4 Effects of Ocean Acidification, Warming, Salinity and Hypoxia on Fisheries Species -- 8.7.5 Socio-economic Implications and Climate Adaptation Options -- 8.8 Conclusions -- References -- Chapter 9: Anthropogenic Drivers of Mangrove Loss: Geographic Patterns and Implications for Livelihoods -- 9.1 Introduction -- 9.2 Proximate Sources and Underlying Driving Forces of Mangrove Change: A Synoptic Approach -- 9.2.1 Proximate Sources of Mangrove Loss -- 9.2.2 Underlying Drivers of Mangrove Loss -- 9.2.3 Interaction Effects of Multiple Causes -- 9.3 The Dynamics of Mangrove Dependence, Poverty, and Livelihoods. , 9.3.1 Linkages Between Dynamics of Mangrove Resources and Local Livelihoods -- 9.4 Case Studies of Mangrove Loss -- 9.4.1 Mainland China in the East/Southeast Asian Context -- 9.4.2 Ecuador -- 9.5 Conclusion: Mangroves as Critical Socio-Ecological Systems -- References -- Chapter 10: Mangrove Forest Restoration and Rehabilitation -- 10.1 Introduction -- 10.2 Original Motivations and Plans for Implementation -- 10.2.1 Sources of Mangrove Wetland Damage -- 10.2.2 Amelioration Procedures -- 10.2.3 Spatial Scales of the Amelioration Procedures -- 10.2.4 Mangroves and Aquaculture -- 10.2.5 Monitoring of R/R Projects -- 10.3 Geographical Distribution of R/R Projects in Mangrove Habitats -- 10.3.1 Current Motivations for the R/R projects -- 10.3.2 Effective R/R Projects Goal Setting -- 10.3.3 Critical Questions: What Were the Ecological Services Sought? What Were the Societal Priorities? -- 10.3.4 Implementation Plans -- 10.4 Major Limitations in the Implementation of R/R: Funding Availability and Current Ecological Theory -- 10.4.1 Selection of Easily Manageable Species -- 10.4.2 Planting Seedlings or Saplings from Local or Distal Genetic Sources -- 10.4.3 Have Native Species Been Always Used in Restoration Programs? -- 10.5 Implementing R/R Projects in the Context of Climate Change: Carbon Markets and Greenhouse Emissions -- 10.6 Global, Regional, and Local Perspectives in Mangrove R/R Programs: Beyond Planting Trees -- 10.6.1 Factors Controlling Long-Term Sustainability of Restored Mangroves -- 10.6.2 Monitoring the Functionality of Restored Mangroves -- 10.7 Future Directions: Lessons Learned and Research Agenda -- References -- Chapter 11: Advancing Mangrove Macroecology -- 11.1 Introduction -- 11.2 Macroecology of Mangrove-Dominated Ecosystems -- 11.2.1 Linking Local and Regional Scales to the Global Dimension. , 11.2.2 Two Examples: Carbon Storage and Response to Climate Change -- 11.2.2.1 Global Controls of Carbon Storage in Mangroves -- 11.2.2.2 Mangrove Forest Responses to Climate Change: The Contributions of Macroecology -- 11.3 Mangrove Modeling of Ecological Processes and Function Within a Macroecological Approach -- 11.4 Using Mangrove Restoration Projects to Advance a Macroecological Approach -- 11.5 Macroecology and the Complexity of Mangrove Ecosystem Services at the Global Scale -- 11.6 Conclusions -- References -- Epilogue -- References -- About the Editors -- Contributors -- Index.
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  • 2
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    In:  Supplement to: Ghajarnia, Navid; Destouni, Georgia; Thorslund, Josefin; Kalantari, Zahra; Åhlén, Imenne; Anaya-Acevedo, Jesús Adolfo; Blanco-Libreros, Juan F; Borja, Sonia; Chalov, Sergey R; Chalova, Aleksandra; Chun, Kwok P; Clerici, Nicola; Desormeaux, Amanda; Garfield, Bethany B; Girard, Pierre; Gorelits, Olga; Hansen, Amy; Jaramillo, Fernando; Jarsjö, Jerker; Labbaci, Adane; Livsey, John; Maneas, Giorgos; McCurley, Kathryn Pisarello; Palomino-Ángel, Sebastian; Pietron, Jan; Price, René M; Rivera-Monroy, Victor H; Salgado, Jorge; Sannel, A Britta K; Seifollahi-Aghmiuni, Samaneh; Sjöberg, Ylva; Terskii, Pavel; Vigouroux, Guillaume; Licero-Villanueva, Lucia; Zamora, David (2020): Data for wetlandscapes and their changes around the world. Earth System Science Data, 12(2), 1083-1100, https://doi.org/10.5194/essd-12-1083-2020
    Publication Date: 2023-12-04
    Description: Geography and associated hydrological, hydroclimate and land use conditions and their changes determine the states and dynamics of wetlands and their ecosystem services. The influences of these controls are not limited to just the local scale of each individual wetland, but extend over larger landscape areas that integrate multiple wetlands and their total hydrological catchment – the wetlandscape. However, the data and knowledge of conditions and changes over entire wetlandscapes are still scarce, limiting the capacity to accurately understand and manage critical wetland ecosystems and their services under global change. We present a new Wetlandscape Change Information Database (WetCID), consisting of geographic, hydrological, hydroclimate and land use information and data for 27 wetlandscapes around the world. This combines survey-based local information with geographic shapefiles and gridded datasets of large-scale hydroclimate and land-use conditions and their changes over whole wetlandscapes. Temporally, WetCID contains 30-year time series of data for mean monthly precipitation and temperature, and annual land use conditions. The survey-based site information includes local knowledge on the wetlands, hydrology, hydroclimate and land uses within each wetlandscape, and on the availability and accessibility of associated local data. This novel database can support site assessments, cross-regional comparisons, and scenario analyses of the roles and impacts of land use, hydroclimatic and wetland conditions and changes on whole-wetlandscape functions and ecosystem services.
    Keywords: Database; land use change; precipitation; Temperature; wetlandscape
    Type: Dataset
    Format: application/zip, 10 MBytes
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  • 3
    ISSN: 1749-7345
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition
    Notes: A generalized nitrogen budget was constructed to evaluate the potential role of mangrove sediments as a sink for dissolved inorganic nitrogen (DIN) in shrimp pond effluents. DIN concentrations were measured in pond effluents from three semi-intensive shrimp ponds along the Caribbean coast of Colombia between 1994–1995. Mean NH4+ concentrations in the discharge water for all farms were significantly higher (67 × 12 μg/L) than in the adjacent estuaries (33 × 8 μg/L). Average NH4+ concentrations in the pond discharge over all growout cycles were similar, representing an approximate doubling in relation to estuarine water concentrations. In contrast, NO2-+ NO3- concentrations were similar in both pond effluent and estuarine waters. Dissolved inorganic nitrogen loading of the ponds was similar. The estimated reduction of DIN in pond effluents by preliminary diversion of outflow to mangrove wetlands rather than directly to estuarine waters would be × 190 mg N/m2 per d. Based on this nitrogen loss and depending upon the enrichment rate, between 0.04 to 0.12 ha of mangrove forest is required to completely remove the DIN load from effluents produced by a 1-ha pond.
    Type of Medium: Electronic Resource
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  • 4
    ISSN: 1432-1939
    Keywords: Key words Crab transport  ;  Rhizophora  ;  Litter fall  ;  Ucides occidentalis  ;  Detritus export
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract The hypothesis that rates of litter turnover in mangroves are controlled by local geophysical processes such as tides has been studied at sites with mostly small tides (〈1 m) and minor crab consumption of leaf litter. Our study describes litter dynamics of three riverine mangrove sites (M1, M2, M3), inhabited by the mangrove crab Ucides occidentalis, located in a macrotidal (〉3 m) river-dominated tropical estuary in Ecuador (2.5°S latitude). There were statistical effects of site and depth on soil salinities, but all mean salinities were 〈17 g kg−1. Daily rates of leaf litter fall were higher in the rainy compared to the dry season, although no seasonal effects were observed for other components of litter fall. Annual total litter fall rates were significantly different among sites at 10.64, 6.47, and 7.87 Mg ha−1 year−1 for M1, M2, and M3, respectively. There were significant site (M3 〉 M2 〉 M1) and season (rainy 〉 dry) effects on leaf degradation, and both effects were related to differences in the initial nitrogen content of senescent leaves. Mean leaf litter standing crop among the sites ranged from 1.53 to 9.18 g m−2, but amounts were strongly seasonal with peak values during September in both years of our study (no significant year effect) at all three sites. Leaf turnover rates based on leaf fall estimates and litter standing crop were 10- to 20-fold higher than estimated from rates of leaf degradation, indicating the significant effect of leaf transport by tides and crabs. Field experiments demonstrated that the mangrove crab can remove daily additions of leaf material within 1 h at all three sites, except during August–October, when the crab is inactive on the forest floor. Even though there is seasonally elevated leaf accumulation on the forest floor during this time, leaf turnover rates are much higher than expected based on leaf degradation, demonstrating the importance of tidal export. This is the first description of how crabs influence litter dynamics in the New World tropics, and results are similar to higher rates of crab transport of leaf litter in the Old World tropics. Even in riverine mangroves with high geophysical energies, patterns of litter dynamics can be influenced by ecological processes such as crab transport.
    Type of Medium: Electronic Resource
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  • 5
    ISSN: 1573-5117
    Keywords: aquatic primary productivity ; fringe ; Terminos Lagoon ; Mexico
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract Seasonal and spatial patterns of aquatic primary production were compared in a tidal creek (Estero Pargo) bordered by mangroves and open waters of Terminos Lagoon, Mexico. Comparisions were made during a 17-month period in 1990–91 that spanned dry, rainy, and storm or 'Norte' seasons. Annual net primary productivity was 478 g C m-2 yr-1 in the lagoon and 285 g C m-2 yr-1 in the tidal creek. In some months, there were significant differences in primary production between the two sites. In both areas, the highest productivity occurred in summer at the start of the rainy season (June 1991), and the lowest production occurred during the dry season from February to May. Aquatic primary production was lower during the dry season of 1991 in comparison to 1990, possibly related to unusually low precipitation during 1991. Seasonal changes in water column productivity were correlated to variations in light and precipitation. The effect of runoff from mangrove forests was assessed by serial additions of surface water from a fringe forest to bottle incubations of lagoon water. Small additions of mangrove water stimulated primary production in lagoon waters during all seasons. The net productivity was extremely sensitive to aliquot volume; small amounts (0.3 and 1.7% of total volume) were stimulatory, increasing rates by 〉 50% in 7 of 12 experiments. The greatest effect occurred in September, 1990, when productivity tripled after an amendment with 1 ml (0.3% by volume) of mangrove water. Additions greater than 3% of total volume generally led to reduction in net productivity probably due to the inhibitory effect of humic substances. In many tropical systems, tidal exchange of estuarine waters with mangrove forests is likely to be important to enhancing water column productivity by exporting organic nutrients and other growth-enhancing substances to the estuary.
    Type of Medium: Electronic Resource
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  • 6
    ISSN: 1573-5117
    Keywords: Leaf litter ; mangrove ; sediment ; decomposition ; nitrogenfixation
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract Assays of nitrogen fixation (acetylene reduction method) were performed on fresh leaf litter (yellow leaves recently fallen from the trees), aged leaf litter (brown leaves on the forest floor) of Rhizophora mangle, Avicennia germinans, and Laguncularia racemosa; and in addition rates were measured on pneumatophores of A. germinans and mangrove sediment from two different sites along the Shark River estuary in the Everglades National Park (south Florida, USA). Differences in sediment nitrogen content between sites were not important enough to determine statistically different C:N ratios for the leaf litter, and there was no effect of site on nitrogen fixation rates. Fresh leaf litter, sediment and pneumatophores showed very low ethylene production rates, ranging from 0 to 31.3 nmol C2H4 g dry wt-1 h-1.Aged leaf litter showed the highest ethylene production rates, ranging from7.3 to 538.8 nmol C2H4 g dry wt-1h-1. Ethylene production rates showed no apparent differences in species composition, but there was an effect by the stage of decomposition of the leaves. Fresh leaf litter and mangrove sediments represent initial and final stages in decomposition, respectively, and both have minimum rates of nitrogen fixation in the forest floor. New nitrogen to this forest by fixation in leaf litter is associated with the intermediate stages of litter decomposition.
    Type of Medium: Electronic Resource
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  • 7
    Publication Date: 2021-05-19
    Description: Se presenta el estado de cambio (1992-2000) de indicadores ecológicos seleccionados como medidas de éxito del proyecto de rehabilitación de bosques de manglar en la Ciénaga Grande de Santa Marta (CGSM), Colombia, en respuesta a cambios hidrológicos iniciados en 1995. Existe una reducción significativa de la salinidad del agua y del suelo en todas las estaciones de muestreo como resultado de la reconexión hidráulica de los caños Clarín y Aguas Negras con el Río Magdalena. La salinidad del agua intersticial del suelo (profundidad 0,5 m) (7 estaciones) y de la columna de agua (0,5 m) (10 estaciones) se redujo (suelo 〈30 g kg-1; agua 〈10 g kg-1) significativamente de 1994 al 2000. Durante 1994 los valores de salinidad del agua intersticial del suelo fluctuaron entre 40 g kg-1 (Rinconada) y 100 g kg-1 (KM 13), mientras que la salinidad en la columna de agua fluctuó entre 25-35 g kg-1 para la mayoría de las estaciones muestreadas. Esta reducción de la salinidad facilitó la regeneración del bosque de manglar con una ganancia neta de 99 km2 de 1995 a 1999. La alta precipitación registrada en los años 1995 y 1999 como resultado del fenómeno El Niño-La Niña (ENSO), y coincidente con la apertura de los caños, influyó significativamente en la rápida regeneración del bosque de manglar. La falta de inversión económica para el mantenimiento de las obras hidráulicas a partir de 2001 y hasta 2004 causó un incremento gradual de la salinidad y el deterioro de la vegetación regenerada. Se requiere de un esfuerzo internacional y del Gobierno Colombiano para mantener en forma sostenida los beneficios sociales y económicos estratégicos alcanzados hasta 2000 en la región de la CGSM.
    Description: We describe trajectories of selected ecological indicators used as performance measures to evaluate the success of a mangrove rehabilitation project in the Ciénaga Grande de Santa Marta (CGSM) Delta-Lagoon complex, Colombia, as result of freshwater diversions initiated in 1995. There is a significant reduction in soil and water column salinity in all sampling stations follo wing the hydraulic reconnection of the Clarín and Aguas Negras channels to the Magdalena River. Soil intersticial water salinity (depth: 0.5 m) (7 stations) and water column salinity (0.5 m) (10 stations) values declined significantly (soil 〈30 g kg -1 ; water 〈10 g kg -1 ) from 1994 to 2000. During 1994 soil interstitial water salinity ranged from 40 g kg -1 (Rinconada) to 100 g kg -1 (KM 13), while water column salinity fluctuated between 25-35 g kg -1 for most of the sampling stations. This salinity reduction increased mangrove forest regeneration promoting a net gain of 99 km 2 from 1995 to 1999. The high precipitation recorded in 1995 and 1999 caused by El Niño-La Niña (ENSO), coinciding with the channels rehabilitation, influenced rapid mangrove regeneration. The lack of economic investment in the maintenance of the diversion structures from 2001 to 2004 caused a salinity increase affecting negatively already restored vegetation. A sustainable effort from the international community and t he Colombian government is needed to maintain the strategic social and economic benefits reached until 2000 in the CGSM region
    Description: Published
    Keywords: Rehabilitation ; ASFA15::M::Mangroves ; ASFA15::M::Mangrove swamps ; ASFA15::S::Salinity
    Repository Name: AquaDocs
    Type: Journal Contribution , Refereed
    Format: pp.72-93
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  • 8
    Publication Date: 2022-05-25
    Description: Author Posting. © The Oceanography Society, 2013. This article is posted here by permission of The Oceanography Society for personal use, not for redistribution. The definitive version was published in Oceanography 26, no. 3 (2013): 124–131, doi:10.5670/oceanog.2013.54.
    Description: Until recently, it was believed that biological assimilation and gaseous nitrogen (N) loss through denitrification were the two major fates of nitrate entering or produced within most coastal ecosystems. Denitrification is often viewed as an important ecosystem service that removes reactive N from the ecosystem. However, there is a competing nitrate reduction process, dissimilatory nitrate reduction to ammonium (DNRA), that conserves N within the ecosystem. The recent application of nitrogen stable isotopes as tracers has generated growing evidence that DNRA is a major nitrogen pathway that cannot be ignored. Measurements comparing the importance of denitrification vs. DNRA in 55 coastal sites found that DNRA accounted for more than 30% of the nitrate reduction at 26 sites. DNRA was the dominant pathway at more than one-third of the sites. Understanding what controls the relative importance of denitrification and DNRA, and how the balance changes with increased nitrogen loading, is of critical importance for predicting eutrophication trajectories. Recent improvements in methods for assessing rates of DNRA have helped refine our understanding of the rates and controls of this process, but accurate measurements in vegetated sediment still remain a challenge.
    Description: Financial support has come from the LTER program (OCE-1238212; FCEDEB 1237517/DBI 0620409). Additional support was provided from other National Science Foundation grants to A.E.G. (DEB 1050713), C.R.T. (EAR- 1020431 and EAR-1024662), and B.S. (OCE-0851435 and DEB-1329273).
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Format: application/pdf
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  • 9
    Publication Date: 2022-05-25
    Description: © The Author(s), 2018]. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Global Ecology and Biogeography 27 (2018): 760-786, doi:10.1111/geb.12729.
    Description: The BioTIME database contains raw data on species identities and abundances in ecological assemblages through time. These data enable users to calculate temporal trends in biodiversity within and amongst assemblages using a broad range of metrics. BioTIME is being developed as a community‐led open‐source database of biodiversity time series. Our goal is to accelerate and facilitate quantitative analysis of temporal patterns of biodiversity in the Anthropocene. The database contains 8,777,413 species abundance records, from assemblages consistently sampled for a minimum of 2 years, which need not necessarily be consecutive. In addition, the database contains metadata relating to sampling methodology and contextual information about each record. BioTIME is a global database of 547,161 unique sampling locations spanning the marine, freshwater and terrestrial realms. Grain size varies across datasets from 0.0000000158 km2 (158 cm2) to 100 km2 (1,000,000,000,000 cm2). BioTIME records span from 1874 to 2016. The minimal temporal grain across all datasets in BioTIME is a year. BioTIME includes data from 44,440 species across the plant and animal kingdoms, ranging from plants, plankton and terrestrial invertebrates to small and large vertebrates.
    Description: European Research Council and EU, Grant/Award Number: AdG‐250189, PoC‐727440 and ERC‐SyG‐2013‐610028; Natural Environmental Research Council, Grant/Award Number: NE/L002531/1; National Science Foundation, Grant/Award Number: DEB‐1237733, DEB‐1456729, 9714103, 0632263, 0856516, 1432277, DEB‐9705814, BSR‐8811902, DEB 9411973, DEB 0080538, DEB 0218039, DEB 0620910, DEB 0963447, DEB‐1546686, DEB‐129764, OCE 95‐21184, OCE‐ 0099226, OCE 03‐52343, OCE‐0623874, OCE‐1031061, OCE‐1336206 and DEB‐1354563; National Science Foundation (LTER) , Grant/Award Number: DEB‐1235828, DEB‐1440297, DBI‐0620409, DEB‐9910514, DEB‐1237517, OCE‐0417412, OCE‐1026851, OCE‐1236905, OCE‐1637396, DEB 1440409, DEB‐0832652, DEB‐0936498, DEB‐0620652, DEB‐1234162 and DEB‐0823293; Fundação para a Ciência e Tecnologia, Grant/Award Number: POPH/FSE SFRH/BD/90469/2012, SFRH/BD/84030/2012, PTDC/BIA‐BIC/111184/2009; SFRH/BD/80488/2011 and PD/BD/52597/2014; Ciência sem Fronteiras/CAPES, Grant/Award Number: 1091/13‐1; Instituto Milenio de Oceanografía, Grant/Award Number: IC120019; ARC Centre of Excellence, Grant/Award Number: CE0561432; NSERC Canada; CONICYT/FONDECYT, Grant/Award Number: 1160026, ICM PO5‐002, CONICYT/FONDECYT, 11110351, 1151094, 1070808 and 1130511; RSF, Grant/Award Number: 14‐50‐00029; Gordon and Betty Moore Foundation, Grant/Award Number: GBMF4563; Catalan Government; Marie Curie Individual Fellowship, Grant/Award Number: QLK5‐CT2002‐51518 and MERG‐CT‐2004‐022065; CNPq, Grant/Award Number: 306170/2015‐9, 475434/2010‐2, 403809/2012‐6 and 561897/2010; FAPESP (São Paulo Research Foundation), Grant/Award Number: 2015/10714‐6, 2015/06743‐0, 2008/10049‐9, 2013/50714‐0 and 1999/09635‐0 e 2013/50718‐5; EU CLIMOOR, Grant/Award Number: ENV4‐CT97‐0694; VULCAN, Grant/Award Number: EVK2‐CT‐2000‐00094; Spanish, Grant/Award Number: REN2000‐0278/CCI, REN2001‐003/GLO and CGL2016‐79835‐P; Catalan, Grant/Award Number: AGAUR SGR‐2014‐453 and SGR‐2017‐1005; DFG, Grant/Award Number: 120/10‐2; Polar Continental Shelf Program; CENPES – PETROBRAS; FAPERJ, Grant/Award Number: E‐26/110.114/2013; German Academic Exchange Service; sDiv; iDiv; New Zealand Department of Conservation; Wellcome Trust, Grant/Award Number: 105621/Z/14/Z; Smithsonian Atherton Seidell Fund; Botanic Gardens and Parks Authority; Research Council of Norway; Conselleria de Innovació, Hisenda i Economia; Yukon Government Herschel Island‐Qikiqtaruk Territorial Park; UK Natural Environment Research Council ShrubTundra Grant, Grant/Award Number: NE/M016323/1; IPY; Memorial University; ArcticNet. DOI: 10.13039/50110000027. Netherlands Organization for Scientific Research in the Tropics NWO, grant W84‐194. Ciências sem Fronteiras and Coordenação de Pessoal de Nível Superior (CAPES, Brazil), Grant/Award Number: 1091/13‐1. National Science foundation (LTER), Award Number: OCE‐9982105, OCE‐0620276, OCE‐1232779. FCT ‐ SFRH / BPD / 82259 / 2011. U.S. Fish and Wildlife Service/State Wildlife federal grant number T‐15. Australian Research Council Centre of Excellence for Coral Reef Studies (CE140100020). Australian Research Council Future Fellowship FT110100609. M.B., A.J., K.P., J.S. received financial support from internal funds of University of Lódź. NSF DEB 1353139. Catalan Government fellowships (DURSI): 1998FI‐00596, 2001BEAI200208, MECD Post‐doctoral fellowship EX2002‐0022. National Science Foundation Award OPP‐1440435. FONDECYT 1141037 and FONDAP 15150003 (IDEAL). CNPq Grant 306595‐2014‐1
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 10
    Publication Date: 2022-10-27
    Description: Author Posting. © American Geophysical Union, 2021. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Journal of Geophysical Research: Biogeosciences 126(5), (2021): e2020JG006217, https://doi.org/10.1029/2020JG006217.
    Description: It is assumed that to treat excess NO3− high soil organic matter content (%OM) is required to maintain high denitrification rates in natural or restored wetlands. However, this excess also represents a risk by increasing soil decomposition rates triggering peat collapse and wetland fragmentation. Here, we evaluated the role of %OM and temperature interactions controlling denitrification rates in eroding (Barataria Bay-BLC) and emerging (Wax Lake Delta-WLD) deltaic regions in coastal Louisiana using the isotope pairing (IPT) and N2:Ar techniques. We also assessed differences between total (direct denitrification + coupled nitrification-denitrification) and net (total denitrification minus nitrogen fixation) denitrification rates in benthic and wetland habitats with contrasting %OM and bulk density (BD). Sediment (benthic) and soil (wetland) cores were collected during summer, spring, and winter (2015–2016) and incubated at close to in-situ temperatures (30°C, 20°C, and 10°C, respectively). Denitrification rates were linearly correlated with temperature; maximum mean rates ranged from 40.1–124.1 μmol m−2 h−1 in the summer with lower rates (〈26.2 ± 5.3 μmol m−2 h−1) in the winter seasons. Direct denitrification was higher than coupled denitrification in all seasons. Denitrification rates were higher in WLD despite lower %OM, lower total N concentration, and higher BD in wetland soils. Therefore, in environments with low carbon availability, high denitrification rates can be sustained as long as NO3− concentrations are high (〉30 μM) and water temperature is 〉10°C. In coastal Louisiana, substrates under these regimes are represented by emergent supra-tidal flats or land created by sediment diversions under oligohaline conditions (〈1 ppt).
    Description: This study was supported by the NOAA-Sea Grant Program-Louisiana (Grant 2013R/E-24) to Victor H. Rivera-Monroy and Kanchan Maiti. Victor H. Rivera-Monroy was also supported by the Department of the Interior South-Central Climate Adaptation Science Center (Cooperative Agreement #G12AC00002).
    Keywords: Coastal Louisiana ; Deltaic system ; Denitrification ; Nitrate loading ; Organic matter ; Seasonal change ; Sediment and freshwater diversions
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Location Call Number Limitation Availability
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