Monitoring Land Degradation through Vegetation Dynamics Mathematical Modeling: Case of Jornada Basin (in the U.S.)

Author:

Chen Zheng1,Liu Jieyu1,Qian Zhonghua2,Li Li3,Zhang Zhiseng4,Feng Guolin1256,Ruan Shigui7ORCID,Sun Guiquan89

Affiliation:

1. College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China

2. College of Physical Science and Technology, Yangzhou University, Yangzhou 225000, China

3. School of Computer and Information Technology, Shanxi University, Taiyuan 030006, China

4. National Meteorological Information Center, China Meteorological Administration, Beijing 100081, China

5. Laboratory for Climate Studies, National Climate Center, China Meteorological Administration, Beijing 100081, China

6. Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai 519000, China

7. Department of Mathematics, University of Miami, Coral Gables, FL 33146, USA

8. Complex Systems Research Center, Shanxi University, Taiyuan 030006, China

9. Department of Mathematics, North University of China, Taiyuan 030051, China

Abstract

Arid ecosystems are known to be sensitive to climate change. The Jornada Basin in the USA, as one representative of arid land, has suffered from land degradation in recent decades. In order to disentangle the climate–vegetation feedback, we analyzed the vegetation dynamics under the effects of climate change via a mathematical model based on the reaction–diffusion mechanism. Using this model, we conducted a sensitive analysis of climate factors and concluded that the ecosystem might experience a catastrophic shift with the climatic deterioration. We considered the non-local interaction term to explain the competition among plants. Additionally, the PLR (power law range) metric was used to quantify the extent of the degradation and to compare the results of the vegetation patterns from the remote sensing data and the simulations. From the results, this model could simulate the trends of land degradation in this area. We found that the land degradation could be mainly attributed to climate changes in recent years. This approach suggests that vegetation patterns can provide hints as to whether the ecosystem is approaching desertification. These results can help with mapping vulnerable arid areas around the world through model simulation and satellite images.

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Outstanding Young Talents Support Plan of Shanxi province

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

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