Evaluating climate impacts on carbon balance of the terrestrial ecosystems in the Midwest of the United States with a process-based ecosystem model

2010 ◽  
Vol 15 (5) ◽  
pp. 467-487 ◽  
Author(s):  
Xiaoliang Lu ◽  
Qianlai Zhuang
2018 ◽  
Vol 13 (4) ◽  
pp. 045006 ◽  
Author(s):  
Benjamin M Sleeter ◽  
Jinxun Liu ◽  
Colin Daniel ◽  
Bronwyn Rayfield ◽  
Jason Sherba ◽  
...  

2010 ◽  
Vol 2 (3) ◽  
pp. 237-248 ◽  
Author(s):  
Kyle Andrew Poyar ◽  
Nancy Beller-Simms

Abstract State and local governments in the United States manage a wide array of natural and human resources that are particularly sensitive to climate variability and change. Recent revelations of the extent of the current and potential climate impact in this realm such as with the quality of water, the structure of the coasts, and the potential and witnessed impact on the built infrastructure give these political authorities impetus to minimize their vulnerability and plan for the future. In fact, a growing number of subnational government bodies in the United States have initiated climate adaptation planning efforts; these initiatives emphasize an array of climate impacts, but at different scales, scopes, and levels of sophistication. Meanwhile, the current body of climate adaptation literature has not taken a comprehensive look at these plans nor have they questioned what prompts local adaptation planning, at what scope and scale action is being taken, or what prioritizes certain policy responses over others. This paper presents a case-based analysis of seven urban climate adaptation planning initiatives, drawing from a review of publicly available planning documents and interviews with stakeholders directly involved in the planning process to provide a preliminary understanding of these issues. The paper also offers insight into the state of implementation of adaptation strategies, highlighting the role of low upfront costs and cobenefits with issues already on the local agenda in prompting anticipatory adaptation.


Author(s):  
William R. Burch ◽  
Gary E. Machlis ◽  
Jo Ellen Force

This chapter demonstrates how the Human Ecosystem Model (HEM) offers a unity of understanding with shared concepts, a framework, and a model for resolving complex human ecosystem problems. With it, decision-makers from different organizations—public and private—may coordinate their work with that of local citizens. The emphasis is on the whole system, which combines issues such as trends in crime, housing, education, health, natural resources, and community stability into an integrated network. The chapter illustrates how the framework and model was applied in a major city in the United States: Baltimore, Maryland. The Baltimore story emphasizes that certain universal problems and solutions confront all human societies. The universality of problems and the search for integrated solutions required a framework like the HEM to identify, apply, and store learning.


2012 ◽  
Vol 164 ◽  
pp. 89-101 ◽  
Author(s):  
Chi Zhang ◽  
Hanqin Tian ◽  
Guangsheng Chen ◽  
Arthur Chappelka ◽  
Xiaofeng Xu ◽  
...  

2007 ◽  
Vol 12 (6) ◽  
pp. 627-643 ◽  
Author(s):  
Sarah F. Trainor ◽  
F. Stuart Chapin ◽  
Henry P. Huntington ◽  
David C. Natcher ◽  
Gary Kofinas

2019 ◽  
Vol 11 (17) ◽  
pp. 2000 ◽  
Author(s):  
Liming He ◽  
Georgy Mostovoy

High-resolution data with nearly global coverage from Sentinel-2 mission open a new era for crop growth monitoring and yield estimation from remote sensing. The objective of this study is to demonstrate the potential of using Sentinel-2 biophysical data combined with an ecosystem modeling approach for estimation of cotton yield in the southern United States (US). The Boreal Ecosystems Productivity Simulator (BEPS) ecosystem model was used to simulate the cotton gross primary production (GPP) over three Sentinel-2 tiles located in Mississippi, Georgia, and Texas in 2017. Leaf area index (LAI) derived from Sentinel-2 measurements and hourly meteorological data from Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2) reanalysis were used to drive the ecosystem model. The simulated GPP values at 20-m grid spacing were aggregated to the county level (17 counties in total) and compared to the cotton lint yield estimates at the county level which are available from National Agricultural Statistics Service in the United States Department of Agriculture. The results of the comparison show that the BEPS-simulated cotton GPP explains 85% of variation in cotton yield. Our study suggests that the integration of Sentinel-2 LAI time series into the ecosystem model results in reliable estimates of cotton yield.


2013 ◽  
Vol 47 (23) ◽  
pp. 13230-13238 ◽  
Author(s):  
Xiaoliang Lu ◽  
David W. Kicklighter ◽  
Jerry M. Melillo ◽  
Ping Yang ◽  
Bernice Rosenzweig ◽  
...  

Author(s):  
Rosemary A. Burk ◽  
Jan Kallberg

AbstractCyber security tends to only address the technical aspects of the information systems. The lack of considerations for environmental long-range implications of failed cyber security planning and measures, especially in the protection of critical infrastructure and industrial control systems, have created ecological risks that are to a high degree unaddressed. This study compares dam safety arrangements in the United States and Sweden. Dam safety in the United States is highly regulated in many states, but inconsistent over the nation. In Sweden dam safety is managed by self-regulation. The study investigates the weaknesses and strengths in these regulatory and institutional arrangements from a cyber security perspective. If ecological and environmental concerns were a part of the risk evaluation and risk mitigation processes for cyber security, the hazard could be limited. Successful environmentally-linked cyber defense mitigates the risk for significant damage to domestic freshwater, aquatic and adjacent terrestrial ecosystems, and protects ecosystem function.


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