Chang Xinyue, Yu Lingxue, Li Guangshuai, Li Xuan, Bao Lun
Remote Sensing and Geographic Information Research Centre, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China.
University of Chinese Academy of Sciences, Beijing, China.
Front Plant Sci. 2023 Aug 4;14:1169898. doi: 10.3389/fpls.2023.1169898. eCollection 2023.
The Heilongjiang-Amur River Basin is one of the largest and most complex aquatic systems in Asia, comprising diverse wetland resources. The wetland vegetation in mid-high latitude areas has high natural value and is sensitive to climate changes. In this study, we investigated the wetland vegetation cover changes and associated responses to climate change in the Heilongjiang-Amur River Basin from 2000 to 2018 based on the growing season (May to September) climate and LAI data. Our results indicated that the wetland LAI increased at 0.014 m·m/yr across Heilongjiang-Amur River Basin with the regional climate showed wetting and warming trends. On a regional scale, wetland vegetation in China and Russia had positive partial correlation with solar radiation and minimum air temperature, with precipitation showing a slight lag effect. In contrast, wetland vegetation in Mongolia had positive partial correlation with precipitation. These correlations were further investigated at different climate intervals. We found the precipitation is positively correlated with LAI in the warm regions while is negatively correlated with LAI in the wet regions, indicating an increase in precipitation is beneficial for the growth of wetland vegetation in heat sufficient areas, and when precipitation exceeds a certain threshold, it will hinder the growth of wetland vegetation. In the cold regions, we found solar radiation and minimum air temperature are positively correlated with LAI, suggesting SR and minimum air temperature instead of mean air temperature and maximum air temperature play more important roles in affecting the wetland vegetation growth in the heat limited areas. The LAI was found to be negatively correlated with maximum air temperature in the arid areas, indicating excessive temperature would inhibit the wetland vegetation growth when the water is limited. Our investigation can provide a scientific foundation for the trilateral region in wetland ecosystem protection and is beneficial for a more comprehensive understanding of the responses of wetlands in the middle and high latitudes to climate change.
黑龙江-阿穆尔河流域是亚洲最大且最复杂的水系之一，拥有多样的湿地资源。中高纬度地区的湿地植被具有很高的自然价值，并且对气候变化敏感。在本研究中，我们基于生长季（5月至9月）的气候和叶面积指数（LAI）数据，调查了2000年至2018年黑龙江-阿穆尔河流域湿地植被覆盖变化及其对气候变化的相关响应。我们的结果表明，黑龙江-阿穆尔河流域的湿地叶面积指数以每年0.014 m·m的速度增加，该区域气候呈现变湿和变暖趋势。在区域尺度上，中国和俄罗斯的湿地植被与太阳辐射和最低气温呈正偏相关，降水呈现轻微滞后效应。相比之下，蒙古的湿地植被与降水呈正偏相关。我们在不同气候区间进一步研究了这些相关性。我们发现，在温暖地区降水与叶面积指数呈正相关，而在湿润地区则呈负相关，这表明降水增加有利于热量充足地区湿地植被的生长，而当降水超过一定阈值时，会阻碍湿地植被的生长。在寒冷地区，我们发现太阳辐射和最低气温与叶面积指数呈正相关，这表明在热量受限地区，太阳辐射和最低气温而非平均气温和最高气温在影响湿地植被生长方面发挥着更重要的作用。在干旱地区，叶面积指数与最高气温呈负相关，这表明在水分有限时，过高的温度会抑制湿地植被的生长。我们的调查可为三边地区湿地生态系统保护提供科学依据，有助于更全面地了解中高纬度湿地对气候变化的响应。
