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Siddhartha Narra
Center for Energy Studies, College of the Coast and Environment, Louisiana State University, Baton Rouge, LA 70803, USA

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Journal article
Published: 01 October 2019 in Water
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Coastal Louisiana hosts 37% of the coastal wetland area in the conterminous US, including one of the deltaic coastal regions more susceptible to the synergy of human and natural impacts causing wetland loss. As a result of the construction of flood protection infrastructure, dredging of channels across wetlands for oil/gas exploration and maritime transport activities, coastal Louisiana has lost approximately 4900 km2 of wetland area since the early 1930s. Despite the economic relevance of both wetland biomass and net primary productivity (NPP) as ecosystem services, there is a lack of vegetation simulation models to forecast the trends of those functional attributes at the landscape level as hydrological restoration projects are implemented. Here, we review the availability of peer-reviewed biomass and NPP wetland data (below and aboveground) published during the period 1976–2015 for use in the development, calibration and validation of high spatial resolution (

ACS Style

Victor H. Rivera-Monroy; Courtney Elliton; Siddhartha Narra; Ehab Meselhe; Xiaochen Zhao; Eric White; Charles E. Sasser; Jenneke M. Visser; Xuelian Meng; Hongqing Wang; Zuo Xue; Fernando Jaramillo; Rivera- Monroy; Zhao; Meng; Wang; Xue. Wetland Biomass and Productivity in Coastal Louisiana: Base Line Data (1976–2015) and Knowledge Gaps for the Development of Spatially Explicit Models for Ecosystem Restoration and Rehabilitation Initiatives. Water 2019, 11, 2054 .

AMA Style

Victor H. Rivera-Monroy, Courtney Elliton, Siddhartha Narra, Ehab Meselhe, Xiaochen Zhao, Eric White, Charles E. Sasser, Jenneke M. Visser, Xuelian Meng, Hongqing Wang, Zuo Xue, Fernando Jaramillo, Rivera- Monroy, Zhao, Meng, Wang, Xue. Wetland Biomass and Productivity in Coastal Louisiana: Base Line Data (1976–2015) and Knowledge Gaps for the Development of Spatially Explicit Models for Ecosystem Restoration and Rehabilitation Initiatives. Water. 2019; 11 (10):2054.

Chicago/Turabian Style

Victor H. Rivera-Monroy; Courtney Elliton; Siddhartha Narra; Ehab Meselhe; Xiaochen Zhao; Eric White; Charles E. Sasser; Jenneke M. Visser; Xuelian Meng; Hongqing Wang; Zuo Xue; Fernando Jaramillo; Rivera- Monroy; Zhao; Meng; Wang; Xue. 2019. "Wetland Biomass and Productivity in Coastal Louisiana: Base Line Data (1976–2015) and Knowledge Gaps for the Development of Spatially Explicit Models for Ecosystem Restoration and Rehabilitation Initiatives." Water 11, no. 10: 2054.

Journal article
Published: 08 August 2018 in Water
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A pressing question facing the Mississippi River Delta (MRD), like many deltaic communities around the world, is: Will the system be sustainable in the future given the threats of sea level rise, land loss, natural disasters, and depleting natural resources? An integrated coastal modeling framework that incorporates both the natural and human components of these communities, and their interactions with both pulse and press stressors, is needed to help improve our understanding of coastal resilience. However, studying the coastal communities using a coupled natural-human system (CNH) approach is difficult. This paper presents a CNH modeling framework to analyze coastal resilience. We first describe such a CNH modeling framework through a case study of the Lower Mississippi River Delta in coastal Louisiana, USA. Persistent land loss and associated population decrease in the study region, a result of interplays between human and natural factors, are a serious threat to the sustainability of the region. Then, the paper describes the methods and findings of three studies on how community resilience of the MRD system is measured, how land loss is modeled using an artificial neural network-cellular automata approach, and how a system dynamic modeling approach is used to simulate population change in the region. The paper concludes by highlighting lessons learned from these studies and suggesting the path forward for analysis of coupled natural-human systems.

ACS Style

Nina S.-N. Lam; Y. Jun Xu; Kam-Biu Liu; David E. Dismukes; Margaret Reams; R. Kelley Pace; Yi Qiang; Siddhartha Narra; Kenan Li; Thomas A. Bianchette; Heng Cai; Lei Zou; Volodymyr Mihunov. Understanding the Mississippi River Delta as a Coupled Natural-Human System: Research Methods, Challenges, and Prospects. Water 2018, 10, 1054 .

AMA Style

Nina S.-N. Lam, Y. Jun Xu, Kam-Biu Liu, David E. Dismukes, Margaret Reams, R. Kelley Pace, Yi Qiang, Siddhartha Narra, Kenan Li, Thomas A. Bianchette, Heng Cai, Lei Zou, Volodymyr Mihunov. Understanding the Mississippi River Delta as a Coupled Natural-Human System: Research Methods, Challenges, and Prospects. Water. 2018; 10 (8):1054.

Chicago/Turabian Style

Nina S.-N. Lam; Y. Jun Xu; Kam-Biu Liu; David E. Dismukes; Margaret Reams; R. Kelley Pace; Yi Qiang; Siddhartha Narra; Kenan Li; Thomas A. Bianchette; Heng Cai; Lei Zou; Volodymyr Mihunov. 2018. "Understanding the Mississippi River Delta as a Coupled Natural-Human System: Research Methods, Challenges, and Prospects." Water 10, no. 8: 1054.

Journal article
Published: 26 December 2015 in Water
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The U.S. Gulf of Mexico (GOM) is an excellent example of a working coast that supports a considerable degree of critical energy infrastructure across several sectors (crude oil, natural gas, electric power, petrochemicals) and functionalities (production, processing/refining, transmission, distribution). The coastal communities of the GOM form a highly productive and complicated human, physical, and natural environment that interacts in ways that are unlike anywhere else around the globe. This paper formulates a Coastal Infrastructure Vulnerability Index (CIVI) that characterizes interactions between energy assets and the physical and human aspects of GOM communities to identify and prioritize, using a multi-dimensional index, coastal vulnerability. The CIVI leads to results that are significantly different than traditional methods and serves as an alternative, and potentially more useful tool for coastal planning and policy, particularly in those areas characterized by very high infrastructure concentrations.

ACS Style

David E. Dismukes; Siddhartha Narra. Identifying the Vulnerabilities of Working Coasts Supporting Critical Energy Infrastructure. Water 2015, 8, 8 .

AMA Style

David E. Dismukes, Siddhartha Narra. Identifying the Vulnerabilities of Working Coasts Supporting Critical Energy Infrastructure. Water. 2015; 8 (1):8.

Chicago/Turabian Style

David E. Dismukes; Siddhartha Narra. 2015. "Identifying the Vulnerabilities of Working Coasts Supporting Critical Energy Infrastructure." Water 8, no. 1: 8.