中国沼泽湿地植被覆盖度时空变化及其对气候变化的响应
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国家自然科学基金项目(42422101,42371070);国家重点研发计划项目(2023YFF0807204);中国科学院青年创新促进会优秀会员项目(2019135)


Spatial-temporal variation in fraction of vegetation cover and its response to climate change in marshes of the China
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The National Natural Science Foundation of China (General Program, Key Program, Major Research Plan)

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    摘要:

    沼泽湿地在中国分布广泛,在区域碳循环中起着关键作用。植被覆盖度是评价湿地植被生长和固碳能力的重要指标。目前,全球气候变化深刻影响着沼泽湿地植被覆盖度,进而影响区域乃至全球碳循环。在全球气候变暖背景下,明确沼泽植被覆盖度时空变化及其对气候变化的响应对于准确评估和预测沼泽湿地固碳潜力具有重要意义。基于2001-2022年MODIS NDVI数据及逐月气象数据,利用像元二分模型等方法分析了中国沼泽湿地生长季植被覆盖度时空变化特征及其对气候变化的响应。研究结果表明:在2001-2022年,中国沼泽湿地生长季植被覆盖度多年均值为58.49%,沼泽湿地生长季植被覆盖度总体呈现显著增加趋势(0.025/10a;P<0.01),生长季植被覆盖度上升趋势较高的区域位于松嫩平原,下降趋势较高的区域位于青藏西南部地区。全国平均的生长季沼泽植被覆盖度与生长季降水和最低温度呈显著正相关,表明生长季降水和最低温度的增加能够显著增加中国沼泽湿地植被覆盖度。在不同地区,生长季降水的增加能够显著提高东北地区与内蒙古地区沼泽湿地植被覆盖度;生长季白天最高温度与夜晚最低温度的升高对青藏高原地区沼泽湿地植被覆盖度的增加具有较强的促进作用,而生长季白天最高温度的升高对内蒙古地区的沼泽植被覆盖度具有降低作用。在夜晚最低温度的影响方面,7、8月夜晚最低温度的升高能够显著增加青藏高原地区沼泽植被覆盖度;9月夜晚最低温度的升高能显著增加中国大部分地区沼泽植被覆盖度。明确中国沼泽湿地生长季植被覆盖度时空变化特征及其对气候变化的响应能够为评估中国沼泽湿地固碳潜力,揭示湿地植被与气候变化的关系机理提供科学依据。

    Abstract:

    Marshes are widely distributed in China and play a key role in regional carbon cycling. The Fraction of vegetation cover is an important indicator for evaluating wetland vegetation growth and carbon sequestration capacity. Currently, global climate change profoundly impacts the vegetation coverage of marshes, thereby affecting regional and even global carbon cycles. In the context of global warming, understanding the spatiotemporal change in marsh vegetation coverage and its response to climate change is of great significance for accurately assessing and predicting the carbon sequestration potential of marshes. Based on MODIS NDVI data and monthly meteorological data from 2001 to 2022, this study used the dimidiate pixel model to analyze the spatiotemporal changes of vegetation coverage during the growing season of marshes in China and their responses to climate change. The multi-year average of vegetation coverage during the growing season of marshes in China was 58.49% from 2001 to 2022. The vegetation coverage during the growing season of marshes showed a significant increasing trend (0.025/10a; P<0.01). The areas with the higher increasing trend in vegetation coverage during the growing season were mainly located in the Songnen Plain, while the areas with the higher decreasing trend were mainly found in the southwestern part of the Tibetan Plateau. The national average growing season vegetation coverage of marshes was significantly positively correlated with both growing season precipitation and minimum temperature, indicating that increases in growing season precipitation and minimum temperature could enhance marsh vegetation coverage. In different regions, the increase in growing season precipitation significantly enhanced the vegetation coverage in the marshes of the Northeast and Inner Mongolia regions; the rise in daytime maximum and nighttime minimum temperatures during the growing season had a strong positive effect on the increase in marshes vegetation coverage in the Tibetan plateau region, but the rise in daytime maximum temperature had a negative effect on the marshes vegetation coverage in the Inner Mongolia region. In terms of the influence of nighttime minimum temperature, the increase in the nighttime minimum temperature during July and August can significantly increase the vegetation coverage of marshes in the Tibetan Plateau region. The increase of September's nighttime minimum temperature can significantly increase the vegetation coverage of marshes in the most of China's marshes. Understanding the spatiotemporal variation of vegetation coverage during the growing season of marshes in China and its response to climate change can provide scientific evidence for assessing the carbon sequestration potential of Chinese marshes and reveal the mechanisms behind the relationships between wetland vegetation and climate change.

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丁辰,神祥金,刘奕雯,吴丽媛,张佳琦,马蓉,王延吉,张兴东,吕宪国,姜明.中国沼泽湿地植被覆盖度时空变化及其对气候变化的响应.生态学报,2025,45(6):2643~2654

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