Response of Reduced Grassland Degradation Index to Climate Change in China
2024
Hui Zhang | Zihan Liao | Jinting Yao | Tianying Wang | Jinghan Xu | Boxiong Yan | Jiping Liu
Grasslands have been increasingly impacted by human activities, gradually becoming one of the most threatened ecosystems globally. Advanced geographic information technology and remote sensing techniques allow for a fresh perspective on studying the response of the grassland degradation index (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>G</mi><mi>D</mi><mi>I</mi></mrow></semantics></math></inline-formula>) to climate change. This study utilized remote sensing image data of grasslands to calculate the vegetation coverage and derive the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>G</mi><mi>D</mi><mi>I</mi></mrow></semantics></math></inline-formula> for five grassland regions of China from 2001 to 2019. The results indicate that the national degradation status of grasslands remained at a level of mild degradation. The increasing trend of the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>G</mi><mi>D</mi><mi>I</mi></mrow></semantics></math></inline-formula> in some regions was effectively inhibited by regional climate change, especially in the Northeastern and Northern Plain–Mountain–Hill Grassland regions, where the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>G</mi><mi>D</mi><mi>I</mi></mrow></semantics></math></inline-formula> showed a continuous decreasing trend. <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>G</mi><mi>D</mi><mi>I</mi></mrow></semantics></math></inline-formula> was strongly correlated with atmospheric pressure, precipitation, temperature, and wind speed. In the arid northern region, the increasing precipitation and decreasing temperatures predominantly contributed to the depressed <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>G</mi><mi>D</mi><mi>I</mi></mrow></semantics></math></inline-formula>. In the Qinghai–Tibetan Plateau Grassland region, the instability of the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>G</mi><mi>D</mi><mi>I</mi></mrow></semantics></math></inline-formula> is attributed to fluctuating atmospheric pressure, with a correlation coefficient ranging from 0.5 to 0.8. Our findings underscore the importance of meteorological factors to evaluate and forecast grassland ecosystem stability. This understanding is vital for developing informed conservation and management strategies to address current and future climate challenges.
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