Effects of soil texture and precipitation on above-ground net primary productivity and vegetation structure across the Central Grassland region of the United States

1998 ◽  
Vol 9 (2) ◽  
pp. 239-250 ◽  
Author(s):  
Diana R. Lane ◽  
Debra P. Coffin ◽  
William K. Lauenroth
Keyword(s):  
United States ◽  
Primary Productivity ◽  
Soil Texture ◽  
Vegetation Structure ◽  
Net Primary Productivity ◽  
The United States

The consequences of urban land transformation on net primary productivity in the United States

2004 ◽  
Vol 89 (4) ◽  
pp. 434-443 ◽  
Author(s):  
Marc L. Imhoff ◽  
Lahouari Bounoua ◽  
Ruth DeFries ◽  
William T. Lawrence ◽  
David Stutzer ◽  
...  
Keyword(s):  
United States ◽  
Primary Productivity ◽  
Net Primary Productivity ◽  
The United States ◽  
Urban Land ◽  
Land Transformation

scholarly journals Assessment of Impacts of Hurricane Katrina on Net Primary Productivity in Mississippi

2010 ◽  
Vol 14 (14) ◽  
pp. 1-12 ◽  
Author(s):  
Shrinidhi Ambinakudige ◽  
Sami Khanal
Keyword(s):  
Natural Disasters ◽  
Hurricane Katrina ◽  
Primary Productivity ◽  
Atmospheric Carbon Dioxide ◽  
Net Primary Productivity ◽  
Gulf Coast ◽  
Carbon Sink ◽  
Anthropogenic Activities ◽  
Remote Sensing Data ◽  
The United States

Abstract Southern forests contribute significantly to the carbon sink for the atmospheric carbon dioxide (CO2) associated with the anthropogenic activities in the United States. Natural disasters like hurricanes are constantly threatening these forests. Hurricane winds can have a destructive impact on natural vegetation and can adversely impact net primary productivity (NPP). Hurricane Katrina (23–30 August 2005), one of the most destructive natural disasters in history, has affected the ecological balance of the Gulf Coast. This study analyzed the impacts of different categories of sustained winds of Hurricane Katrina on NPP in Mississippi. The study used the Carnegie–Ames–Stanford Approach (CASA) model to estimate NPP by using remote sensing data. The results indicated that NPP decreased by 14% in the areas hard hit by category 3 winds and by 1% in the areas hit by category 2 winds. However, there was an overall increase in NPP, from 2005 to 2006 by 0.60 Tg of carbon, in Mississippi. The authors found that Pearl River, Stone, Hancock, Jackson, and Harrison counties in Mississippi faced significant depletion of NPP because of Hurricane Katrina.

Assessing the impact of urban land development on net primary productivity in the southeastern United States

2003 ◽  
Vol 86 (3) ◽  
pp. 401-410 ◽  
Author(s):  
Cristina Milesi ◽  
Christopher D. Elvidge ◽  
Ramakrishna R. Nemani ◽  
Steven W. Running
Keyword(s):  
United States ◽  
Primary Productivity ◽  
Net Primary Productivity ◽  
Southeastern United States ◽  
Land Development ◽  
Urban Land ◽  
The Impact

scholarly journals A Research Framework to Integrate Cross-Ecosystem Responses to Tropical Cyclones

BioScience ◽  
2020 ◽  
Vol 70 (6) ◽  
pp. 477-489 ◽  
Author(s):  
J Aaron Hogan ◽  
Rusty A Feagin ◽  
Gregory Starr ◽  
Michael Ross ◽  
Teng-Chiu Lin ◽  
...  
Keyword(s):  
United States ◽  
Tropical Cyclone ◽  
Tropical Cyclones ◽  
Primary Productivity ◽  
Recovery Time ◽  
The United States ◽  
Ecosystem Response ◽  
Ecosystem Responses ◽  
Research Framework ◽  
Antecedent Conditions

Abstract Tropical cyclones play an increasingly important role in shaping ecosystems. Understanding and generalizing their responses is challenging because of meteorological variability among storms and its interaction with ecosystems. We present a research framework designed to compare tropical cyclone effects within and across ecosystems that: a) uses a disaggregating approach that measures the responses of individual ecosystem components, b) links the response of ecosystem components at fine temporal scales to meteorology and antecedent conditions, and c) examines responses of ecosystem using a resistance–resilience perspective by quantifying the magnitude of change and recovery time. We demonstrate the utility of the framework using three examples of ecosystem response: gross primary productivity, stream biogeochemical export, and organismal abundances. Finally, we present the case for a network of sentinel sites with consistent monitoring to measure and compare ecosystem responses to cyclones across the United States, which could help improve coastal ecosystem resilience.

scholarly journals GRASSLAND NPP MONITORING BASED ON MULTI-SOURCE REMOTE SENSING DATA FUSION

2018 ◽  
Vol XLII-3 ◽  
pp. 113-118
Author(s):  
Y. R. Cai ◽  
J. H. Zheng ◽  
M. J. Du ◽  
C. Mu ◽  
J. Peng
Keyword(s):  
Carbon Cycle ◽  
Primary Productivity ◽  
Vegetation Index ◽  
Net Primary Productivity ◽  
Terrestrial Ecosystem ◽  
Remote Sensing Data ◽  
Terrestrial Ecosystems ◽  
The United States ◽  
Estimation Accuracy ◽  
Modis Ndvi

Vegetation is an important part of the terrestrial ecosystem. It plays an important role in the energy and material exchange of the ground-atmosphere system and is a key part of the global carbon cycle process.Climate change has an important influence on the carbon cycle of terrestrial ecosystems. Net Primary Productivity (Net Primary Productivity)is an important parameter for evaluating global terrestrial ecosystems. For the Xinjiang region, the study of grassland NPP has gradually become a hot issue in the ecological environment.Increasing the estimation accuracy of NPP is of great significance to the development of the ecosystem in Xinjiang. Based on the third-generation GIMMS AVHRR NDVI global vegetation dataset and the MODIS NDVI (MOD13A3) collected each month by the United States Atmospheric and Oceanic Administration (NOAA),combining the advantages of different remotely sensed datasets, this paper obtained the maximum synthesis fusion for New normalized vegetation index (NDVI) time series in 2006–2015.Analysis of Net Primary Productivity of Grassland Vegetation in Xinjiang Using Improved CASA Model The method described in this article proves the feasibility of applying data processing, and the accuracy of the NPP calculation using the fusion processed NDVI has been greatly improved. The results show that: (1) The NPP calculated from the new normalized vegetation index (NDVI) obtained from the fusion of GIMMS AVHRR NDVI and MODIS NDVI is significantly higher than the NPP calculated from these two raw data; (2) The grassland NPP in Xinjiang Interannual changes show an overall increase trend; interannual changes in NPP have a certain relationship with precipitation.

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