scholarly journals Interactive comment on “A comprehensive dataset of vegetation states, fluxes of matter and energy, weather, agricultural management, and soil properties from intensively monitored crop sites in Western Germany” by Tim G. Reichenau et al.

2020 ◽  
Keyword(s):  
Soil Properties ◽  
Agricultural Management ◽  
Western Germany

scholarly journals A comprehensive dataset of vegetation states, fluxes of matter and energy, weather, agricultural management, and soil properties from intensively monitored crop sites in Western Germany

2020 ◽  
Author(s):  
Tim G. Reichenau ◽  
Wolfgang Korres ◽  
Marius Schmidt ◽  
Alexander Graf ◽  
Gerhard Welp ◽  
...  
Keyword(s):  
Soil Properties ◽  
Land Surface ◽  
Agricultural Management ◽  
Weather Data ◽  
Research Centre ◽  
Soil Parameters ◽  
Data Types ◽  
Area Index ◽  
Western Germany ◽  
Development And Validation

Abstract. The development and validation of hydroecological land-surface models to simulate agricultural areas requires extensive data on weather, soil properties, agricultural management, and vegetation states and fluxes. However, this comprehensive data is rarely available since measurement, quality control, documentation and compilation of the different data types is costly in terms of time and money. Here, we present a comprehensive dataset, which was collected at four agricultural sites within the Rur catchment in Western Germany in the frame of the Transregional Collaborative Research Centre 32 “Patterns in Soil-Vegetation-Atmosphere-Systems: Monitoring, Modelling and Data Assimilation” (TR32). Vegetation-related data comprises fresh and dry biomass (green and brown, predominantly per organ), plant height, green and brown leaf area index, phenological development state, nitrogen and carbon content (overall > 17 000 entries), and fluxes of carbon, energy, and water (> 180 000 half-hourly records) for a variety of agricultural plants. In addition, masses of harvest residues and regrowth of vegetation after harvest or before planting of the main crop are included (> 250 entries). Data on agricultural management includes sowing and harvest dates, and information on cultivation, fertilization and agrochemicals (27 management periods). The dataset also includes gap-filled weather data (> 200 000 hourly records) and soil parameters (particle size distributions, carbon and nitrogen contents; > 800 records). This data can also be useful for development and validation of remote sensing products. The dataset (Reichenau et al., 2019) is hosted at the TR32 database (https://www.tr32db.uni-koeln.de/data.php?dataID=1886).

scholarly journals A comprehensive dataset of vegetation states, fluxes of matter and energy, weather, agricultural management, and soil properties from intensively monitored crop sites in western Germany

2020 ◽  
Vol 12 (4) ◽  
pp. 2333-2364
Author(s):  
Tim G. Reichenau ◽  
Wolfgang Korres ◽  
Marius Schmidt ◽  
Alexander Graf ◽  
Gerhard Welp ◽  
...  
Keyword(s):  
Soil Properties ◽  
Land Surface ◽  
Agricultural Management ◽  
Weather Data ◽  
Research Centre ◽  
Soil Parameters ◽  
Data Types ◽  
Area Index ◽  
Western Germany ◽  
Development And Validation

Abstract. The development and validation of hydroecological land-surface models to simulate agricultural areas require extensive data on weather, soil properties, agricultural management, and vegetation states and fluxes. However, these comprehensive data are rarely available since measurement, quality control, documentation, and compilation of the different data types are costly in terms of time and money. Here, we present a comprehensive dataset, which was collected at four agricultural sites within the Rur catchment in western Germany in the framework of the Transregional Collaborative Research Centre 32 (TR32) “Patterns in Soil–Vegetation–Atmosphere Systems: Monitoring, Modeling and Data Assimilation”. Vegetation-related data comprise fresh and dry biomass (green and brown, predominantly per organ), plant height, green and brown leaf area index, phenological development state, nitrogen and carbon content (overall > 17 000 entries), and masses of harvest residues and regrowth of vegetation after harvest or before planting of the main crop (> 250 entries). Vegetation data including LAI were collected in frequencies of 1 to 3 weeks in the years 2015 until 2017, mostly during overflights of the Sentinel 1 and Radarsat 2 satellites. In addition, fluxes of carbon, energy, and water (> 180 000 half-hourly records) measured using the eddy covariance technique are included. Three flux time series have simultaneous data from two different heights. Data on agricultural management include sowing and harvest dates as well as information on cultivation, fertilization, and agrochemicals (27 management periods). The dataset also includes gap-filled weather data (> 200 000 hourly records) and soil parameters (particle size distributions, carbon and nitrogen content; > 800 records). These data can also be useful for development and validation of remote-sensing products. The dataset is hosted at the TR32 database (https://www.tr32db.uni-koeln.de/data.php?dataID=1889, last access: 29 September 2020) and has the DOI https://doi.org/10.5880/TR32DB.39 (Reichenau et al., 2020).

scholarly journals Impact of Sustainable Land Management Practices on Soil Properties: Example of Organic and Integrated Agricultural Management

Land ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 8
Author(s):  
Rok Mihelič ◽  
Jure Pečnik ◽  
Matjaž Glavan ◽  
Marina Pintar
Keyword(s):  
Soil Properties ◽  
Soil Quality ◽  
Management Practices ◽  
Visual Assessment ◽  
Agricultural Management ◽  
Vegetable Production ◽  
Modified Method ◽  
Food And Agriculture ◽  
River Terraces ◽  
Food And Agriculture Organization

Maintaining good soil quality is crucial for the sustainability of agriculture. This study aimed to evaluate the effectiveness of the visual soil assessment (VSA) method by testing it on two soil types and two agricultural management practices (AMP) (organic and integrated) that are considered to protect soil quality. We selected two farms with plots on two river terraces with different soil properties. The test was based on the modified method Annual Crops Visual Quality Assessment developed by the Food and Agriculture Organization of the United Nations and supported by a standardized soil physical and chemical analysis. This study showed that the assessed score is highly dependent on the type of farming practice and how soils are managed. The soil type also plays an important role. The results for Calcaric Fluvisol showed that the effects of selected agricultural management practices on the visual assessment of soil quality could be almost undetectable. The time of assessment also plays a significant role in VSA scoring. Different crops and agricultural activities with significant impacts on the soil occur throughout the year (especially in vegetable production). It was observed that a higher score for the soil cover indicator had a beneficial effect on the total VSA rating.

scholarly journals Stacking Agricultural Management Tactics to Promote Improvements in Soil Structure and Microbial Activities

Agronomy ◽  
2019 ◽  
Vol 9 (9) ◽  
pp. 539 ◽  
Author(s):  
R. Michael Lehman ◽  
Shannon L. Osborne ◽  
Kimberly McGraw
Keyword(s):  
Soil Properties ◽  
Soil Structure ◽  
Management Practices ◽  
Cropping Systems ◽  
Soil Health ◽  
Field Studies ◽  
Agricultural Management ◽  
Residue Management ◽  
No Till ◽  
Management Tactics

Linking agricultural management tactics to quantifiable changes in soil health-related properties is a key objective for increasing adoption of the most favorable management practices. We used two long-term, no-till cropping studies to illustrate the variable patterns of response of soil structure indices and microbial activity to additional management tactics, including crop rotational diversity, residue management and cover cropping. We found that observable effects of management tactics on soil properties were often dependent on the current crop phase sampled, even though the treatments were well-established. In some cases, a single additional management tactic produced a response, two tactics each produced a response and sometimes there were interactions between tactics. However, importantly, we never observed a negative effect for any of the response variables when stacking soil health building practices in no-till cropping systems. The collective results from the two field studies illustrate that soil health improvements with stacking management tactics are not always simply additive and are affected by temporal relationships inherent to the treatments. We conclude that the implementation of multiple positive management tactics increases the likelihood that improvements in soil properties can be documented with one or more of the proxy measures for soil health.

scholarly journals Agricultural Management Practices Influence the Soil Enzyme Activity and Bacterial Community Structure in Tea Plantations

2021 ◽  
Author(s):  
Yu-Pei Chen ◽  
Chai-Fang Tsai ◽  
PD Rekha ◽  
Sudeep Ghate ◽  
Hsi-Yuan Huang ◽  
...  
Keyword(s):  
Bacterial Community ◽  
Enzymatic Activity ◽  
Soil Properties ◽  
Soil Quality ◽  
Soil Ph ◽  
Management Practices ◽  
Agricultural Management ◽  
Bacterial Composition ◽  
Tea Plantation ◽  
Tea Plantations

Abstract Background The soil quality and health of the tea plantations are dependent on the agriculture management practices, and long-term chemical fertilizer use is implicated in soil decline. Hence, several sustainable practices are used to improve and maintain the soil quality. Here, in this study, changes in soil properties, enzymatic activity, and dysbiosis in bacterial community composition were compared using three agricultural management practices, namely conventional (CA), sustainable (SA) and transformational agriculture (TA) in the tea plantation during 2016 and 2017 period. Soil samples at two-months intervals were collected and analyzed. Results The results of the enzyme activities revealed that acid phosphatase, arylsulfatase, β-glucosidase, and urease activities differed considerably among the soils representing the three management practices. Combining the redundancy and multiple regression analysis, the change in the arylsulfatase activity was explained by soil pH as a significant predictor in the SA soils. The soil bacterial community was predominated by the phyla Proteobacteria, Acidobacteria, Actinobacteria, Chloroflexi, and Bacteroidetes in the soil throughout the sampling period. Higher Alpha diversity scores indicated increased bacterial abundance and diversity in the SA soils. A significant relationship between bacterial richness indices (SOBS, Chao and ACE) and soil pH, K and P was observed in the SA soils. The diversity indices namely Shannon and Simpson also showed variations, suggesting the shift in the diversity of less abundant and more common species. Furthermore, the agricultural management practices, soil pH fluctuation and the extractable elements had a greater influence on bacterial structure than that of temporal change. Conclusions Based on the cross-over analysis of bacterial composition, enzymatic activity and the soil properties, the relationship between bacterial composition and biologically-driven ecological processes can identified as indicators of sustainability for the tea plantation.

Agricultural management practices: Effects on soil properties, root growth and sesame yield

2016 ◽  
Vol 42 (5) ◽  
pp. 321-327 ◽  
Author(s):  
Andréa Fernandes Rodrigues ◽  
Tancredo Augusto Feitosa de Souza ◽  
Luciano Façanha Marques ◽  
Jacob Silva Souto ◽  
Wilton Pereira da Silva
Keyword(s):  
Root Growth ◽  
Soil Properties ◽  
Management Practices ◽  
Agricultural Management

scholarly journals Agricultural management systems affect on physical, chemical and microbial soil properties

2016 ◽  
Vol 10 (05) ◽  
pp. 683-692 ◽  
Author(s):  
Elaine Reis Pinheiro Lourente ◽  
◽  
Eulene Francisco da Silva ◽  
Fábio Martins Mercante ◽  
Ademar Pereira Serra ◽  
...  
Keyword(s):  
Soil Properties ◽  
Agricultural Management ◽  
Management Systems ◽  
Physical Chemical

scholarly journals Agricultural management practices influence the soil enzyme activity and bacterial community structure in tea plantations

2021 ◽  
Vol 62 (1) ◽  
Author(s):  
Yu-Pei Chen ◽  
Chia-Fang Tsai ◽  
P. D. Rekha ◽  
Sudeep D. Ghate ◽  
Hsi-Yuan Huang ◽  
...  
Keyword(s):  
Bacterial Community ◽  
Enzymatic Activity ◽  
Soil Properties ◽  
Soil Quality ◽  
Soil Ph ◽  
Management Practices ◽  
Agricultural Management ◽  
Bacterial Composition ◽  
Tea Plantation ◽  
Tea Plantations

Abstract Background The soil quality and health of the tea plantations are dependent on agriculture management practices, and long-term chemical fertilizer use is implicated in soil decline. Hence, several sustainable practices are used to improve and maintain the soil quality. Here, in this study, changes in soil properties, enzymatic activity, and dysbiosis in bacterial community composition were compared using three agricultural management practices, namely conventional (CA), sustainable (SA), and transformational agriculture (TA) in the tea plantation during 2016 and 2017 period. Soil samples at two-months intervals were collected and analyzed. Results The results of the enzyme activities revealed that acid phosphatase, arylsulfatase, β-glucosidase, and urease activities differed considerably among the soils representing the three management practices. Combining the redundancy and multiple regression analysis, the change in the arylsulfatase activity was explained by soil pH as a significant predictor in the SA soils. The soil bacterial community was predominated by the phyla Proteobacteria, Acidobacteria, Actinobacteria, Chloroflexi, and Bacteroidetes in the soil throughout the sampling period. Higher Alpha diversity scores indicated increased bacterial abundance and diversity in the SA soils. A significant relationship between bacterial richness indices (SOBS, Chao and ACE) and soil pH, K and, P was observed in the SA soils. The diversity indices namely Shannon and Simpson also showed variations, suggesting the shift in the diversity of less abundant and more common species. Furthermore, the agricultural management practices, soil pH fluctuation, and the extractable elements had a greater influence on bacterial structure than that of temporal change. Conclusions Based on the cross-over analysis of the bacterial composition, enzymatic activity, and soil properties, the relationship between bacterial composition and biologically-driven ecological processes can be identified as indicators of sustainability for the tea plantation.

Sign in / Sign up

Export Citation Format

Share Document