scholarly journals Long-Term Monitoring of Different Field Traffic Management Practices in Cereals Production with Support of Satellite Images and Yield Data in Context of Climate Change

Agronomy ◽  
2022 ◽  
Vol 12 (1) ◽  
pp. 128
Author(s):  
Vladimír Rataj ◽  
Jitka Kumhálová ◽  
Miroslav Macák ◽  
Marek Barát ◽  
Jana Galambošová ◽  
...  
Keyword(s):  
Climate Change ◽  
Traffic Management ◽  
Management Practices ◽  
Conservation Tillage ◽  
Yield Potential ◽  
Yield Data ◽  
Tillage System ◽  
Combine Harvester ◽  
Term Monitoring

Cereals in Europe are mainly grown with intensive management. This often leads to the deterioration of the physical properties of the soil, especially increasing bulk density due to heavy machinery traffic, which causes excessive soil compaction. Controlled traffic farming (CTF) technology has the potential to address these issues, as it should be advantageous technology for growing cereals during climate change. The aim of this study was to compare the yield potential of CTF and standardly used random traffic farming (RTF) technology using yield maps obtained from combine harvester and satellite imagery as a remote sensing method. The experiment was performed on a 16-hectare experimental field with a CTF system established in 2009 (with conversion from a conventional (ploughing) to conservation tillage system). Yield was compared in years when small cereals were grown, a total of 7 years within a 13-year period (2009–2021). The results show that CTF technology was advantageous in dry years. Cereals grown in the years 2016, 2017 and 2019 had significantly higher yields under CTF technology. On the contrary, in years with higher precipitation, RTF technology had slightly better results—up to 4%. This confirms higher productivity when using CTF technology in times of climate change.

scholarly journals Geostatistical analysis of crop yield maps in a long term no tillage system

Bragantia ◽  
2010 ◽  
Vol 69 (suppl) ◽  
pp. 9-18 ◽  
Author(s):  
Osvaldo Guedes Filho ◽  
Sidney Rosa Vieira ◽  
Marcio Koiti Chiba ◽  
Célia Regina Grego
Keyword(s):  
Crop Yield ◽  
Crop Yields ◽  
Spherical Model ◽  
Exponential Model ◽  
Spatial And Temporal Variability ◽  
No Tillage ◽  
Yield Data ◽  
The North ◽  
Tillage System

It is known, for a long time, that crop yields are not uniform at the field. In some places, it is possible to distinguish sites with both low and high yields even within the same area. This work aimed to evaluate the spatial and temporal variability of some crop yields and to identify potential zones for site specific management in an area under no-tillage system for 23 years. Data were analyzed from a 3.42 ha long term experimental area at the Centro Experimental Central of the Instituto Agronômico, located in Campinas, Sao Paulo State, Brazil. The crop yield data evaluated included the following crops: soybean, maize, lablab and triticale, and all of them were cultivated since 1985 and sampled at a regular grid of 302 points. Data were normalized and analyzed using descriptive statistics and geostatistical tools in order to demonstrate and describe the structure of the spatial variability. All crop yields showed high variability. All of them also showed spatial dependence and were fitted to the spherical model, except for the yield of the maize in 1999 productivity which was fitted to the exponential model. The north part of the area presented repeated high values of productivity in some years. There was a positive cross correlation amongst the productivity values, especially for the maize crops.

Temporal changes in an alligator snapping turtle (Macrochelys temminckii) population

2013 ◽  
Vol 40 (1) ◽  
pp. 77 ◽  
Author(s):  
Mitchell B. East ◽  
J. Daren Riedle ◽  
Day B. Ligon
Keyword(s):  
Management Practices ◽  
Unknown Origin ◽  
Current Status ◽  
Macrochelys Temminckii ◽  
The Status ◽  
Management Recommendations ◽  
The Impact ◽  
Term Monitoring ◽  
Term Data

Context Monitoring populations of long-lived species requires continuous long-term efforts. This is especially applicable for species that have experienced declines range-wide. Aims Our study assessed the current status of a population of wild Macrochelys temminckii and compared the present results to those from a survey conducted nearly a decade ago. Methods Trapping in 2010–2011 was conducted on two creeks within the refuge, during the months of May–July. Capture data were compared with data collected by similar methods in 1997–2001. Key results The population structure of M. temminckii was dominated by juveniles, with few large adults or small juveniles detected and a missing size class was evident. Retrospective analysis of 1997–2001 data revealed that the population was likely to be in decline even then, despite high capture rates. Conclusions The M. temminckii population showed significant declines that indicated that the population had experienced stressors of unknown origin. The status of M. temminckii at the refuge is concerning, given the protection afforded this remnant population. Implications Short-term data from 1997–2001 indicated a healthy M. temminckii population, whereas longer-term data showed that the population has declined, resulting in significant demographic changes. Continued monitoring will be necessary to develop management recommendations and track the impact of implemented management practices. Longer-term monitoring of long-lived vertebrates is required to identify population trends.

scholarly journals Forestry of Serbia - achievement of Millenium Goals in the era of climate change and globalization

2014 ◽  
pp. 89-112 ◽  
Author(s):  
Sasa Orlovic ◽  
Milan Drekic ◽  
Bratislav Matovic ◽  
Leopold Poljakovic-Pajnik ◽  
Mirjana Stevanov ◽  
...  
Keyword(s):  
Social Sciences ◽  
Climate Change ◽  
Forest Ecosystems ◽  
European Beech ◽  
Novi Sad ◽  
Experimental Trials ◽  
Level 2 ◽  
Term Monitoring ◽  
Forest Institutions

This paper is a review presenting research results on the forest ecosystems of Serbia that are carried out at the Institute of Lowland Forestry and Environment (University of Novi Sad, Serbia) in the context of climate change and globalisation. The review displays results of the long-term monitoring of the forest ecosystems, where the data were obtained at the permanent experimental trials of IPC-Forests (level 2) and the iLTER's network. All findings are systematically divided according to the research disciplines and the most important tree species (poplar, willow, oak, wild cherry and European beech). Also the aspects of social sciences are included (meaning evaluating forest institutions in the first place). This review is meant to contribute inputs to the ongoing discussion about the achievement of the Millenium Goals of Sustainable Development in the context of Serbian forestry.

Assessment of alpine summit flora in Kashmir Himalaya and its implications for long-term monitoring of climate change impacts

2020 ◽  
Vol 17 (8) ◽  
pp. 1974-1988
Author(s):  
Maroof Hamid ◽  
Anzar Ahmad Khuroo ◽  
Akhtar Hussain Malik ◽  
Rameez Ahmad ◽  
Chandra Prakash Singh
Keyword(s):  
Climate Change ◽  
Climate Change Impacts ◽  
Kashmir Himalaya ◽  
Long Term Monitoring ◽  
Term Monitoring

scholarly journals Dynamics of Mean-Variance-Skewness of Cumulative Crop Yield Impact Temporal Yield Variance

2011 ◽  
Vol 2011 ◽  
pp. 1-9 ◽  
Author(s):  
Abdullah A. Jaradat
Keyword(s):  
Management Practices ◽  
Cropping Systems ◽  
Yield Potential ◽  
Yield Data ◽  
Production Risk ◽  
The Mean ◽  
Conventional Ct ◽  
Mean Variance ◽  
Constant Yield ◽  
Cumulative Probabilities

Farmers' decision to adopt new management or production system depends on production risk. Grain yield data was used to assess production risk in a field experiment composed of two cropping systems (CNV and ORG), each with eight subsystems (two levels each of crop rotation (2-yr and 4-yr), tillage management (conventional, CT and strip, ST), and fertilizer input (fertilized, YF and non-fertilized, NF)). Statistical moments, cumulative yield (CY), temporal yield variance (TYV) and coefficient of variation (CV) were used to assess the risk associated with adopting combinations of new management practices in CNV and ORG. The mean-variance-skewness (M-V-S) statistics derived from yield data separated all 16 subsystems into three clusters. Both cropping systems and clustered subsystems differed as to their ability to maintain a constant yield over years, displayed different yield cumulative probabilities, exhibited significant and different M-V-S relationships, and differed as to the reliability of estimating TYV as a function of CY. Results indicated that differences in management among cropping systems and subsystems contributed differently to the goal of achieving yield potential as estimated by the cumulative density function, and that certain low-input management practices caused a positive shift in yield distribution, and may lower TYV and reduce production risk.

scholarly journals LONG-TERM MONITORING OF WATER DYNAMICS IN THE SAHEL REGION USING THE MULTI-SAR-SYSTEM

2016 ◽  
Vol XLI-B8 ◽  
pp. 313-320 ◽  
Author(s):  
A. Bertram ◽  
A. Wendleder ◽  
A. Schmitt ◽  
M. Huber
Keyword(s):  
Climate Change ◽  
Human Population ◽  
Dynamic Change ◽  
Open Water ◽  
Water Dynamics ◽  
Long Term Monitoring ◽  
Sar Data ◽  
Sahel Region ◽  
Term Monitoring

Fresh water is a scarce resource in the West-African Sahel region, seasonally influenced by droughts and floods. Particularly in terms of climate change, the importance of wetlands increases for flora, fauna, human population, agriculture, livestock and fishery. Hence, access to open water is a key factor. Long-term monitoring of water dynamics is of great importance, especially with regard to the spatio-temporal extend of wetlands and drylands. It can predict future trends and facilitate the development of adequate management strategies. Lake Tabalak, a Ramsar wetland of international importance, is one of the most significant ponds in Niger and a refuge for waterbirds. Nevertheless, human population growth increased the pressure on this ecosystem, which is now degrading for all uses. The main objective of the study is a long-term monitoring of the Lake Tabalak’s water dynamics to delineate permanent and seasonal water bodies, using weather- and daytime-independent multi-sensor and multi-temporal Synthetic Aperture Radar (SAR) data available for the study area. Data of the following sensors from 1993 until 2016 are used: Sentinel-1A, TerraSARX, ALOS PALSAR-1/2, Envisat ASAR, RADARSAT-1/2, and ERS-1/2. All SAR data are processed with the Multi-SAR-System, unifying the different characteristics of all above mentioned sensors in terms of geometric, radiometric and polarimetric resolution to a consistent format. The polarimetric representation in Kennaugh elements allows fusing single-polarized data acquired by older sensors with multi-polarized data acquired by current sensors. The TANH-normalization guarantees a consistent and therefore comparable description in a closed data range in terms of radiometry. The geometric aspect is solved by projecting all images to an earth-fixed coordinate system correcting the brightness by the help of the incidence angle. The elevation model used in the geocoding step is the novel global model produced by the TanDEM-X satellite mission. The advantage of the Multi-SAR-System is that it comprises ortho-rectification, radiometric enhancement, normalization and Kennaugh decomposition, independent from sensors, modes, polarizations or acquisition date of SAR data. In addition, optical satellite data can be included as well, to fill gaps where SAR data are missing due to the special normalization scheme. This kind of pre-processing is exclusively implemented at the Earth Observation Center of the German Aerospace Center in Oberpfaffenhofen, Germany. Therefore, the dynamic change of the open water of the Lake Tabalak could be classified over dry and rainy seasons and years, using different SAR data. The study provides a unique database and contributes to a better understanding of wetland systems in the Sahel region influenced by human pressure and climate change.

scholarly journals Major Cereal Crop Production in Kabhrepalanchok

2020 ◽  
Vol 3 (1) ◽  
pp. 15-33
Author(s):  
Mira Giri ◽  
Dhundi Raj Dahal
Keyword(s):  
Climate Change ◽  
Crop Production ◽  
Management Practices ◽  
Survey Methods ◽  
Local Level ◽  
Cereal Crops ◽  
Secondary Source ◽  
Monthly Precipitation ◽  
Cross Sectional Survey ◽  
Yield Data

Agriculture is one of the most vulnerable sectors to climate change impact. The main purpose of the study is to find the recent production of major cereal crops as rice, maize, and wheat per unit area in Banepa municipality, as a case study to the local trends and adaptation. The study was conducted among the household of ward No. 1, 3, 4, 5, 7, 8, 9, 10, and 11 in the Municipality. Field observation, in-depth interview, focus group discussion, Questionnaire survey methods were adopted for information collection, cross-validation with verification and using a secondary source of the information. Monthly precipitation and monthly minimum and maximum air temperatures data of Dhulikhel station were used to study their annual and seasonal trends. Time-series annual yield data in rice, maize, and wheat were collected from the Ministry of Agriculture and Livestock Development. Production was also accessed from the local level in a cross-sectional survey. Temperature and precipitation were collected from the Department of Hydrology and Metrology. The Survey indicated that yields have increased for major cereal crops and this led to an increase in the use of chemical fertilizer, chemical pesticides, improved seed, and improved management practices. The impacts of these changes have resulted in an increased attack of white grub in roots and maize smut in cobs, rice blast in panicle and stem, rust and blight disease and grain borer in wheat. The major issues for farmers were found to be a deficit of inorganic fertilizers, an insufficient supply of quality seeds and an unsystematic market. The coping mechanism for climate change in farming was not applied due to a lack of knowledge, facilities, and access to improved technologies. The farmers expected advanced technological know-how along with other facilities for climate-resilient farming. This study concludes that change in climate is affecting the agriculture in Banepa Municipality of Kabhrepalancchok. The existing local and institutional strategies are not sufficient and sustainable to cope with climatic vagaries. It is very important to address the problems in this region with institutional support and through a long-term policy perspective.

scholarly journals Effect of different agricultural management practices on soil biological parameters including glomalin fraction

2017 ◽  
Vol 63 (No. 7) ◽  
pp. 300-306 ◽  
Author(s):  
Gałązka Anna ◽  
Gawryjołek Karolina ◽  
Grządziel Jarosław ◽  
Księżak Jerzy
Keyword(s):  
Management Practices ◽  
Principal Component ◽  
Biochemical Properties ◽  
Strong Correlations ◽  
Biodiversity Indicators ◽  
Soil Biological Activity ◽  
Soil Microbial ◽  
Tillage System ◽  
Soil Proteins

The aim of the study was to determine the glycoproteins content (total glomalin (TG), easily extractable glomalin (EEG) and soil proteins related to glomalin (GRSP)) in soil under long-term monoculture of maize. Soil microbiological and biochemical properties, including microbial biomass and enzymatic activity were also assessed. The presence of total, easily-extractable glomalin and soil proteins related to glomalin was dependent on both the growth phase of the plant and tillage system. The highest content of glomalin was detected in the soils under maize in direct sowing and reduced tillage. The glomalin content was correlated with soil biological activity. The linear regression was observed between TG and GRSP content, but no linear relationship was found between GRSP and C<sub>org</sub>. The principal component analysis showed the strong correlations between the parameters of soil quality and biodiversity indicators. Selected indicators of soil microbial parameters explained 52.27% biological variability in soils.

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