About this course
This course describes the spatiotemporal dynamics of carbon in plant ecosystems for various regions of the world under the influence of industrial emissions, deforestation and soil erosion based on the spatial model of the global carbon cycle of the Central Scientific Center of the Russian Academy of Sciences. The course generally focuses on strategies for sequestration of carbon dioxide by terrestrial ecosystems. The course describes a methodology for assessing the impact of global climate change on the ecosystem functions of terrestrial ecosystems using various regions of the world as an example. By demonstrating the consequences of climate change this course will help the learner to engage environmental strategies of mitigation and adaptation.
The course is addressed to a wide audience interested in climate change (for specialists in the field of ecology, biology, geography, mathematical modeling), but primarily focused on applicants and students
Who is this course for?
The course is addressed to a wide audience interested in climate change (for specialists in the field of ecology, biology, geography, mathematical modeling), but primarily focused on applicants and students.
What do I need to know?
General education is required. It is necessary to be able to work with information sources, draw conclusions from the information received and understand the cause-effect relationship. The students are supposed to:
have a basic knowledge in the fundamental mathematics sphere to such an extent that is necessary for the possession of the environmental science’s mathematical mechanism, for data processing and analysis in ecology and nature management.
have a basic knowledge in the fundamental branches of physics, chemistry and biology at the level that is necessary for the assimilation of the physical, chemical and biological principles in ecology and natural management
What will you have learnt?
On completion of the Course the student is expected: - to know carbon cycle in atmosphere-plant-soil system, methods for assessing the sequestration capacity of forest ecosystems, mathematical modeling of CO₂;
be acquainted with: possible impacts of global climate change and mitigation and adaptation strategies
to master feedback connections in managing, and environmental monitoring control methods of climate change.
Chapter 1. Forests and climate change
Chapter 2. Current Adaptation Measures and Policies
Chapter 3. Climate change adaptation and mitigation challenges and opportunities in the food sector
Chapter 4. Estimation of carbon sequestration capacity of plant ecosystem in Jordan using mathematical spatial model of global carbon cycle and remote sensing
Chapter 5. Carbon dioxide sequestration as a climate mitigation strategy criterion in tropical forests
Chapter 6. Landfill as a source of green energy
The team and organisation standing behind the course
Kurbatova Anna Igorevna - Associate Professor of the Department of Environmental monitoring and forecasting, RUDN University
Dr. Hani Abu Qdais - Professor of Water & Environmental Engineering Civil Engineering Department, Jordan University of Science & Technology
Additional literature for self-study
Abu Qdais, Ha., Saadeh, O., Al- widyan, M., Al-Tal, R. and Abu-Dalo, M. (2019) “Environmental sustainability features in large university campuses: Jordan University of Science and Technology as a model of green University”, International Journal of sustainability in higher education, 20 (1): 214-228.
Al-Bakri, J.T. & Taylor, J.C. (2003) “Application of NOAA AVHRR for monitoring vegetation conditions and biomass in Jordan”, Journal of Arid Environments, 54 (3): 579–593.
Cracknell, A. P. (1997). The Advanced Very High Resolution Radiometer. London: Taylor & Francis.
Saba, M., Al-Naber, G. and Mohawesh, Y. (2010) “Analysis of Jordan vegetation cover dynamics using MODIS/NDVI from 2000 to 2009”. Food security and climate change in dry area conference, ICARDA, Syria.
Heumann, B.W., Seaquist, J.W., Eklundh, L. and Jönsson, P. (2007) “AVHRR derived phenological change in the Sahel and Soudan, Africa, 1982–2005”. Remote Sensing of Environment, 108: 385–392.
Wardlow, B.D., Egbert, S.L. and Kastens, J.H. (2007)” Analysis of time-series MODIS 250 m vegetation index data for crop classification in the U.S. Central Great Plains”. Remote Sensing of Environment, 108: 290–310.
Zhongyang, L., C. Huailiang, Zixuan, D. and Chunhui, Z. (2008) “Response characteristic analysis of climate change of vegetation activity in Huanghe-Huaihe-Haihe zone based on NOAA NDVI data set”. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 37 (B): 855- 862.
MWI (2018) Jordan water sector facts and figures for the year 2017.
Munyati, C; Mboweni, G (2013). “Variation in NDVI values with change in spatial resolution for semi-arid savanna vegetation: a case study in northwestern South Africa”. International journal of remote sensing, 34(7), 2253-2267.
Situmorang, J., Sugianto, S. and Darusman (2016) “Estimation of Carbon Stock Stands using EVI and NDVI vegetation index in production forest of lembah Seulawah sub-district, Aceh Indonesia “. Aceh International Journal of Science and Technology, 5(3), 126-139.
Nguyen, Linh, H. K, Nguyen, Ngoc, B. (2016) “Mapping biomass and carbon stock of forest by remote sensing and GIS technology at Bach Ma National Park, Thua Thien Hue province” Journal of Vietnamese Environment 2016, 8 (2), 80-87.
Pareta, K. and Pareta, U. (2011) “forest carbon management using satellite remote sensing techniques case study of Sagar district (m. P.)”. International Scientific Research Journal, 3(4), 335-348.