Marcos Jiménez Martínez- Dr. agr. M.Sc. M.A.
- Researcher at University of Bonn
Marcos Jiménez Martínez
- Dr. agr. M.Sc. M.A.
- Researcher at University of Bonn
Land use change and agroforestry management
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Introduction
I bundle information on the physical and management characteristics of farms, forests and rangelands to simulate their productivity and integrate it into land cover based assessments of land use performance.
Current institution
Publications
Publications (8)
Research and Education (BMBF) which aims to improve the knowledge base for research and climate policy decisions by the German government by researching CDR methods. The deployment and scaling up of CDR introduce unique challenges and opportunities in the realm of climate policy. CDR is a complex topic, navigating economic, ecological , and social...
Use of holistic modelling of different agroforestry systems within the ReForest project to promote adoption in Europe
Prajna Kasargodu Anebagilu, Cory Whitney, Andrew Marcil, Marcos Jiménez Martínez, Eike Luedeling
Agroforestry has the potential to produce diverse food and income sources, provide balanced development of the region and aid in sustai...
Biomass production in Sudanian savanna ecosystems was simulated for woody and annual vegetation with one-dimensional plant growth models.
The output of the different compartments of biomass was allocated to its different components. This allowed to make an analysis of the provision of food nutrients, feed and biofuel.
Separately, land use change sc...
West African land use systems have been experiencing one of the fastest transformations in the world over recent decades. The Sudanian savanna is an interesting example, as it hosts the cultivation of some crops typical of the Guinean savanna as well as some of the Sahel. Therefore, this region is likely to experience further changes in its crop po...
The goal to improve food security in sub-Saharan Africa (SSA) through domestic, resource efficient and low carbon agriculture is importance. Interventions to produce more food could impact the resource-base and lead to increase in greenhouse gas (GHG) emissions from agroecosystems. Unfortunately, existing methods are limited in analyzing small-scal...
Food insecurity is still a major global concern. Population growth, poverty, climate variability, and low agricultural productivity, among others, are threatening food provision. Rural areas in West Africa are particularly vulnerable due to low financial and physical capacity and high dependency on agriculture. Programs to support food provision ex...
Questions
Questions (3)
Hello,
I am using a crop model (APSIM) to simulate the performance of different cropping systems in one site of the West African savanna. The model requires daily data of rainfall, maximum and minimum temperatures and radiation (which I got from the NASA POWER facility).
I would like to create datasets of future climates by modyfing the dataset of the current climate. Mainly in three ways:
1. Increasing the mean annual temperature.
2. Increasing the annual rainfall while concentrating the rainfall events in fewer days of the year (i.e. more intense rainfalls).
3. Delaying/anticipating the onset/end of the rainy season.
I can use Python and R. I have discovered the RMAWGEN package, but in following the documentation I get quite lost.
Do you know if RMWAGEN (or any other free available weather generator) can be really handy for my purpose. Are there some tutorials with code examples?
Are there any free access datasets of future climates on a daily basis that can be downloaded instead of having to generate the dataset myself?
I have a land use map 5m resolution with trees as one of the classes. Can I use this information as an indicator of tree density? Could I translate tree cover percentage per ha into an estimation of the number of trees per ha? I´m researching in West Africa, but due to the lack of the data, I would also appreciate methods for other savannas of the world.
Current remote sensing products provide interesting data to estimate primary production, such as tree fractional vegetation cover. The body on literature based on field measurements is also broad, but woody biomass in African savannas is not always positively correlated with tree density nor with age of the fallow, but more related with the specific management of the land. Thus, which could be the best procedures to help bridging indicators such as tree cover and net primary production with an estimation of standing woody biomass?
