中国科学家绘制了中国全国非合成植物图,发现它覆盖了37%的土地和生长面积,对碳循环和气候抗御能力产生了影响。 Chinese scientists mapped non-photosynthetic vegetation across China, finding it covers 37% of land and growing, with implications for carbon cycling and climate resilience.

南京大学的中国科学家创建了一种高精度遥感方法,用300米分辨率绘制2016至2024年全中国非光化合成植被图(NPV)。 Chinese scientists at Nanjing University created a high-precision remote sensing method to map non-photosynthetic vegetation (NPV) across China from 2016 to 2024 at 300-meter resolution. 研究发现,NPV平均覆盖中国约37%的陆地面积,每年增长0.14%,半干旱至半湿润地区增长最快,每年增长0.75%。 The study found NPV covers about 37% of China’s land area on average, increasing by 0.14% annually, with the fastest growth in semi-arid to semi-humid regions at 0.75% per year. 季节性温度和降水驱动NPV变化,750至900纳米范围内的新的光谱探测方法提高了准确度。 Seasonal temperature and precipitation drive NPV changes, and a new spectral detection method in the 750–900 nanometer range improved accuracy. 研究引入了碳交换通量指数,突出NPV在碳循环和土壤固存方面的作用,应对大规模碳监测的长期挑战,并深入了解生态系统的复原力和气候反馈。 The research introduces a carbon exchange flux index, highlighting NPV’s role in carbon cycling and soil sequestration, addressing long-standing challenges in large-scale carbon monitoring and offering insights into ecosystem resilience and climate feedbacks. 发表于《中国科学:地球科学》。 Published in Science China: Earth Sciences.