Surendra Ranpal- PhD
- Scientific Researcher at University of Augsburg
Surendra Ranpal
- PhD
- Scientific Researcher at University of Augsburg
About
12
Publications
9,279
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188
Citations
Introduction
Current institution
Additional affiliations
August 2015 - December 2017
Publications
Publications (12)
High-altitude environments are highly susceptible to the effects of climate change. Thus, it is crucial to examine and understand the behaviour of specific plant traits along altitudinal gradients, which offer a real-life laboratory for analysing future impacts of climate change. The available information on how pollen production varies at differen...
Viruses are frequently a microbial biocontaminant of healthy plants. The occurrence of the infection can be also due to environmental stress, like urbanisation, air pollution and increased air temperature, especially under the ongoing climate change. The aim of the present study was to investigate the hypothesis that worsened air quality and fewer...
Intraspecific genetic variation might limit the relevance of environmental factors on plant traits. For example, the interaction between genetics and (a-)biotic factors regulating pollen production are still poorly understood. In this study, we investigated pollen production of 28 birch (Betula pendula Roth) individuals in the years 2019-2021. We s...
Emerging infectious diseases pose a major threat to human, animal, and plant health. The risk of species‐extinctions increases when pathogens can survive in the absence of the host. Environmental reservoirs can facilitate this. However, identifying such reservoirs and modes of infection is often highly challenging. In this study, we investigated th...
Emerging infectious diseases pose a major threat to human, animal, and plant health. The risk of species-extinctions increases when pathogens can survive in the absence of the host, for example in environmental reservoirs. However, identifying such reservoirs and modes of infection is often highly challenging. In this study, we investigated the pre...
![Table 4 . LULC Classes, equivalent biome type from Costanza et al. [2],...](publication/330364988/figure/tbl1/AS:715069566504960@1547497278031/LULC-Classes-equivalent-biome-type-from-Costanza-et-al-2-and-corresponding-ESV_Q320.jpg)
Ecosystems provide a wide range of goods, services or ecosystem services (ES) to society. Estimating the impact of land use and land cover (LULC) changes on ES values (ESV) is an important tool to support decision making. This study used remote sensing and GIS tools to analyze LULC change and transitions from 2001 to 2016 and assess its impact on E...
This research elucidated the ecological status and antibacterial properties of Dactylorhiza hatagirea, a high altitudinal medicinal plant from Mustang region Nepal
Citation: Ranpal, S. and Devkota, K. P. Status and Antibacterial Properties of Dactylorhiza hatagirea in Annapurna Conservation Area, Nepal. In Natural Resource Management: Reviews and...
Questions
Questions (3)
Where and how could I get atmospheric CO2 concentration (not emission) grided data for Europe? I am looking for a high-resolution (not lower than 0.01°) spatiotemporal dataset for 2015-2021.
I have a dataset with multiple factors (independent variables) and each of them has different number of levels. The dependent variable is non-normal, so I have decided to use a non-parametric test. However, I am wondering how to deal with this dataset to test the differences between the variables. Please help.
How can I create boxplots for GLMM with interacting fixed effects, models with nested random effects and models with both using R?
