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Chen M, Xue Y, Xue Y, Peng J, Guo J, Liang H. Assessing the effects of climate and human activity on vegetation change in Northern China. ENVIRONMENTAL RESEARCH 2024; 247:118233. [PMID: 38262513 DOI: 10.1016/j.envres.2024.118233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 01/07/2024] [Accepted: 01/16/2024] [Indexed: 01/25/2024]
Abstract
Fractional vegetation cover (FVC) has changed significantly under various disturbances over northern China in recent decades. This research examines the dynamics of FVC and how it is affected by climate and human activity during the period of 1990-2018 in northern China. The effects of climate change (i.e., temperature, precipitation, solar radiation, and soil moisture) and human activity (socioeconomic data and land use) on vegetation coverage change in northern China from 1990 to 2018 were quantified using the Sen + Mann-Kendall test, partial correlation analysis, and structural equation modelling (SEM) methods. The findings of this research indicate the following: (1) From 1990 to 2018, the overall trend in FVC in northern China was increased. The areas with obvious increases were mainly situated on the northern slope of Tianshan Mountains, Xinjiang, the Loess Plateau, the Northeast China Plain, and the Sanjiang Plain, while the areas with distinct degradation were located in the Inner Mongolia Plateau, the Changbai Mountain and the eastern part of north China. (2) In the past 29 years, the FVC in northern China has been mainly affected by precipitation and soil moisture. (3) Based on structural equation modelling, we discovered that certain variables impacted the main factors influencing the amount of FVC in northern China. Human activity has had a larger impact on FVC than climate change. Our findings can accelerate the comprehension of vegetation dynamics and their underlying mechanisms and provide a theoretical basis for regional ecological environmental protection.
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Affiliation(s)
- Meizhu Chen
- College of Geography and Remote Sensing Science, Xinjiang University, Urumqi, 830046, China; Xinjiang Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi, 830046, China
| | - Yayong Xue
- College of Geography and Remote Sensing Science, Xinjiang University, Urumqi, 830046, China; Xinjiang Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi, 830046, China.
| | - Yibo Xue
- College of Geography and Remote Sensing Science, Xinjiang University, Urumqi, 830046, China; Xinjiang Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi, 830046, China
| | - Jie Peng
- College of Geography and Remote Sensing Science, Xinjiang University, Urumqi, 830046, China; Xinjiang Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi, 830046, China
| | - Jiawei Guo
- College of Geography and Remote Sensing Science, Xinjiang University, Urumqi, 830046, China; Xinjiang Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi, 830046, China
| | - Haibin Liang
- Institute of Geographical Science, Taiyuan Normal University, Jinzhong, Shanxi, 030619, China; Shanxi Key Laboratory of Earth Surface Processes and Resource Ecological Security in Fenhe River Basin, Taiyuan Normal University, Jinzhong, Shanxi, 030619, China
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Zhang X, Li X. An innovative index for separating the effects of temperature and precipitation on global vegetation change. iScience 2023; 26:106972. [PMID: 37324529 PMCID: PMC10265531 DOI: 10.1016/j.isci.2023.106972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 03/12/2023] [Accepted: 05/23/2023] [Indexed: 06/17/2023] Open
Abstract
Temperature and precipitation changes are among the vital climatic driving forces of global vegetation change. However, the strategy to separate the relative contributions of these two critical climatic factors is still lacking. Here, we propose an index CRTP (contribution ratio of temperature and precipitation) to quantify their impacts on vegetation and then construct the CRTP classification prediction models based on climatic, geographic, and environmental factors using the Random Forest classifier. We find that precipitation predominates more than 70% of the significant vegetation change, mainly located in the low and middle latitudes during 2000-2021. Precipitation will remain the dominant climatic factor affecting global vegetation change in the coming six decades, whereas areas with temperature-dominated vegetation change will expand under higher radiative forcings. Hopefully, the promising index CRTP will be applied in the research about climatic attribution for regional vegetation degradation, monitoring drought-type conversion, and alarming the potential ecological risk.
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Affiliation(s)
- Xueqin Zhang
- Key Lab of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, 11A, Datun Road, Beijing 100101, China
| | - Xiang Li
- Key Lab of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, 11A, Datun Road, Beijing 100101, China
- University of Chinese Academy of Sciences, No. 19A, Yuquan Road, Beijing 100049, China
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Modeling Potential Impacts on Regional Climate Due to Land Surface Changes across Mongolia Plateau. REMOTE SENSING 2022. [DOI: 10.3390/rs14122947] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Although desertification has greatly increased across the Mongolian Plateau during the last decades of the 20th century, recent satellite records documented increasing vegetation growth since the 21st century in some areas of the Mongolian Plateau. Compared to the study of desertification, the opposite characteristics of land use and vegetation cover changes and their different effects on regional land–atmosphere interaction factors still lack enough attention across this vulnerable region. Using long-term time-series multi-source satellite records and regional climate model, this study investigated the climate feedback to the observed land surface changes from the 1990s to the 2010s in the Mongolia Plateau. Model simulation suggests that vegetation greening induced a local cooling effect, while the warming effect is mainly located in the vegetation degradation area. For the typical vegetation greening area in the southeast of Inner Mongolia, latent heat flux increased over 2 W/m2 along with the decrease of sensible heat flux over 2 W/m2, resulting in a total evapotranspiration increase by 0.1~0.2 mm/d and soil moisture decreased by 0.01~0.03 mm/d. For the typical vegetation degradation area in the east of Mongolia and mid-east of Inner Mongolia, the latent heat flux decreased over 2 W/m2 along with the increase of sensible heat flux over 2 W/m2 obviously, while changes in moisture cycling were spatially more associated with variations of precipitation. It means that precipitation still plays an important role in soil moisture for most areas, and some areas would be at potential risk of drought with the asynchronous increase of evapotranspiration and precipitation.
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