scholarly journals Integrating remote sensing with nutrient management plans to calculate nitrogen parameters for swine CAFOs at the sprayfield and sub-watershed scales

2017 ◽  
Vol 580 ◽  
pp. 865-872
Author(s):  
Elizabeth C. Christenson ◽  
Marc L. Serre
2017 ◽  
Vol 21 (9) ◽  
pp. 4747-4765 ◽  
Author(s):  
Clara Linés ◽  
Micha Werner ◽  
Wim Bastiaanssen

Abstract. The implementation of drought management plans contributes to reduce the wide range of adverse impacts caused by water shortage. A crucial element of the development of drought management plans is the selection of appropriate indicators and their associated thresholds to detect drought events and monitor the evolution. Drought indicators should be able to detect emerging drought processes that will lead to impacts with sufficient anticipation to allow measures to be undertaken effectively. However, in the selection of appropriate drought indicators, the connection to the final impacts is often disregarded. This paper explores the utility of remotely sensed data sets to detect early stages of drought at the river basin scale and determine how much time can be gained to inform operational land and water management practices. Six different remote sensing data sets with different spectral origins and measurement frequencies are considered, complemented by a group of classical in situ hydrologic indicators. Their predictive power to detect past drought events is tested in the Ebro Basin. Qualitative (binary information based on media records) and quantitative (crop yields) data of drought events and impacts spanning a period of 12 years are used as a benchmark in the analysis. Results show that early signs of drought impacts can be detected up to 6 months before impacts are reported in newspapers, with the best correlation–anticipation relationships for the standard precipitation index (SPI), the normalised difference vegetation index (NDVI) and evapotranspiration (ET). Soil moisture (SM) and land surface temperature (LST) offer also good anticipation but with weaker correlations, while gross primary production (GPP) presents moderate positive correlations only for some of the rain-fed areas. Although classical hydrological information from water levels and water flows provided better anticipation than remote sensing indicators in most of the areas, correlations were found to be weaker. The indicators show a consistent behaviour with respect to the different levels of crop yield in rain-fed areas among the analysed years, with SPI, NDVI and ET providing again the stronger correlations. Overall, the results confirm remote sensing products' ability to anticipate reported drought impacts and therefore appear as a useful source of information to support drought management decisions.


2010 ◽  
Vol 102 (1) ◽  
pp. 231-240 ◽  
Author(s):  
Haiying Tao ◽  
Thomas F. Morris ◽  
Boris Bravo-Ureta ◽  
Richard Meinert ◽  
Kelly Zanger ◽  
...  

2007 ◽  
Vol 23 (6) ◽  
pp. 747-755 ◽  
Author(s):  
M. A. Thomas ◽  
B. A. Engel ◽  
M. Arabi ◽  
T. Zhai ◽  
R. Farnsworth ◽  
...  

2012 ◽  
Vol 8 (2) ◽  
Author(s):  
Shashank Srinivasan

High-altitude wetlands are critical ecosystems at risk from global climatic changes and local human activities. Management plans for the conservation of these wetlands require spatial information, from remote sensing data and from local human communities. I describe my research aims and methodology working with the Changpa, a nomadic pastoral community who inhabit the high-altitude regions around the Tso Kar basin wetlands in Ladakh, India.


2021 ◽  
Vol 64 (2) ◽  
pp. 675-689
Author(s):  
Wenlong Liu ◽  
Yongping Yuan ◽  
Lydia Koropeckyj-Cox

HighlightsFertilizer rate was found to be the most important factor controlling flow-weighted nitrate-N concentrations.Organic fertilizer may significantly increase nitrate-N losses, but N content of manures can be variable.We did not find significant differences in nitrate-N export among fertilizer application methods or timing.Split fertilization reduced nitrate-N export at lower fertilizer rates (<167 kg N ha-1) but not at higher rates.Fertilizer N recommendations need re-evaluation to consider both environmental and economic effects.Abstract. Nutrient management, as described in NRCS Code 590, has been intensively investigated, with research largely focused on crop yields and water quality. Yet, due to complex processes and mechanisms in nutrient cycling (especially the nitrogen (N) cycle), there are many challenges in evaluating the effectiveness of nutrient management practices across site conditions. We therefore synthesized data from peer-reviewed publications on subsurface-drained agricultural fields in the Midwest U.S. with corn yield and drainage nitrate-N (NO3-N) export data published from 1980 to 2019. Through literature screening and data extraction from 43 publications, we obtained 577 site-years of data with detailed information on fertilization, corn yields, precipitation, drainage volume, and drainage NO3-N load/concentration or both. In addition, we estimated flow-weighted NO3-N concentrations ([NO3-N]) in drainage for those site-years where only load and volume were reported. Furthermore, we conducted a cost analysis using synthesized and surveyed corn yield data to evaluate the cost-effectiveness of different nutrient management plans. Results from the synthesis showed that N fertilizer rate was strongly positively correlated with corn yields, NO3-N loads, and flow-weighted [NO3-N]. Reducing N fertilizer rates can effectively mitigate NO3-N losses from agricultural fields; however, our cost analysis showed negative economic returns for continuous corn production at lower N rates. In addition, organic fertilizers significantly boosted corn yields and NO3-N losses compared to inorganic fertilizers at comparable rates; however, accurate quantification of plant-available N in organic fertilizers is necessary to guide appropriate nutrient management plans because the nutrient content may be highly variable. In terms of fertilizer application methods, we did not find significant differences in NO3-N export in drainage discharge. Lastly, impact of fertilization timing on NO3-N export varied depending on other factors such as fertilizer rate, source, and weather. According to these results, we suggest that further efforts are still required to produce effective local nutrient management plans. Furthermore, government agencies such as USDA-NRCS need to work with other agencies such as USEPA to address the potential economic losses due to implementation of lower fertilizer rates for water quality improvement. Keywords: Conservation practice, Corn yields, Cost-effectiveness, NO3-N loss, Nutrient management, Subsurface drainage, Midwest U.S.


2019 ◽  
Vol 25 (1) ◽  
pp. 194-198
Author(s):  
Iulian Alexandru Bratu

Abstract Forest management, as a component of the management of natural protected areas, has the mission to adopt the most effective measures in relation to climate change. The forest management activity is based on management plans drawn up for a period of 10 years, a period appreciated, until recently, to be sufficient for management plans to be considered up to date. Their updating is done with the data provided in field by the rangers through direct observations and measurements, but the accuracy of these data is complemented by data obtained through modern technologies. Analyses of the distribution of forest vegetation, its composition and its evolution, both in time and in the area, and last but not least, the technical measures for implementing the most effective treatments for preserving its health, the optimal structure and biomass production is made using the latest technology, such as Free Open Source Software and GIS. Recent services provided free of charge by some remote sensing operators make it possible to adopt the most appropriate technical measures, real-time tracking of their implementation and expected results. This paper aims to bring to light some of the most useful free remote sensing services and how to use them.


2012 ◽  
Vol 104 (2) ◽  
pp. 437-447 ◽  
Author(s):  
Haiying Tao ◽  
Thomas F. Morris ◽  
Boris Bravo-Ureta ◽  
Richard Meinert ◽  
Joseph Neafsey

2017 ◽  
Author(s):  
Clara Linés ◽  
Micha Werner ◽  
Wim Bastiaanssen

Abstract. The implementation of drought management plans contributes to reduce the wide range of adverse impacts caused by water shortage. A crucial element of the development of drought management plans is the selection of appropriate indicators and their associated thresholds to detect drought events and monitor their evolution. Drought indicators should be able to detect emerging drought processes that will lead to impacts with sufficient anticipation to allow measures to be undertaken effectively. However, in the selection of appropriate drought indicators the connection to the final impacts is often disregarded. This paper explores the utility of remotely sensed data sets to detect early stages of drought at the river basin scale, and how much time can be gained to inform operational land and water management practices. Six different remote sensing data sets with different spectral origin and measurement frequency are considered, complemented by a group of classical in situ hydrologic indicators. Their predictive power to detect past drought events is tested in the Ebro basin. Qualitative (binary information based on media records) and quantitative (crop yields) data of drought events and impacts spanning a period of 12 years are used as a benchmark in the analysis. Results show that early signs of drought impacts can be detected up to some 6 months before impacts are reported in newspapers, with the best correlation-anticipation relationships for the Standard Precipitation Index (SPI), the Normalized Difference Vegetation Index (NDVI) and Evapotranspiration (ET). Soil Moisture (SM) and Land Surface Temperature (LST) offer also good anticipation, but with weaker correlations, while Gross Primary Production (GPP) presents moderate positive correlations only for some of the rainfed areas. Although classical hydrological information from water levels and water flows provided better anticipation than remote sensing indicators in most of the areas, correlations were found to be weaker. The indicators show a consistent behaviour with respect to the different levels of crop yield in rainfed areas among the analysed years, with SPI, NDVI and ET providing again the stronger correlations. Overall, the results confirm remote sensing products’ ability to anticipate reported drought impacts and therefore appear as a useful source of information to support drought management decisions.


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