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欧亚大陆东部草原地上和地下生物量的空间格局及其驱动因素。

Spatial patterns and driving factors of aboveground and belowground biomass over the eastern Eurasian steppe.

机构信息

National Hulunber Grassland Ecosystem Observation and Research Station, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, PR China.

State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, PR China.

出版信息

Sci Total Environ. 2022 Jan 10;803:149700. doi: 10.1016/j.scitotenv.2021.149700. Epub 2021 Aug 24.

Abstract

The Eurasian steppe is the largest steppe region in the world and is an important part of the global grassland ecosystem. The eastern Eurasian steppe has favorable hydrothermal conditions and has the highest productivity and the richest biodiversity. Located in the arid and semi-arid region, the eastern Eurasian steppe has experienced large-scale grassland degradation due to dramatic climate change and intensive human activities during the past 20 years. Hence, accurate estimation of aboveground biomass (AGB, gC m) and belowground biomass (BGB, gC m) is necessary. In this study, plenty of AGB and BGB in-situ measurements were collected among dominated grassland types during summer in 2013 and 2016-2018 in the eastern Eurasian steppe. Vegetation indices from the Moderate Resolution Imaging Spectroradiometer (MODIS), Digital Elevation Model (DEM) and climate variables were chosen as independent variables to establish predictive models for AGB and BGB with random forest (RF). Both AGB (R = 0.47, MAE = 21.06 gC m, and RMSE = 27.52 gC m) and BGB (R = 0.44, MAE = 173.02 gC m, and RMSE = 244.20 gC m) models showed acceptable accuracy. Then the RF models were applied to generate spatially explicit AGB and BGB estimates for the study area over the last two decades (2000-2018). Both AGB and BGB showed higher values in the Greater Khingan Mountains and decreased gradually to the east and west sides. The mean values for AGB and BGB were 62.16 gC m and 531.35 gC m, respectively. The climatic factors were much more important in controlling biomass than anthropogenic drivers, and shortage of water and raising temperature were the main limiting factor of AGB and BGB, respectively, in the peak growth season. These findings provide scientific data for the scientific management of animal husbandry and can contribute to the sustainable development of grassland ecology in the eastern Eurasian steppe.

摘要

欧亚草原是世界上最大的草原区,也是全球草原生态系统的重要组成部分。其中,地处东部的欧亚草原具有优越的水热条件,生产力最高,生物多样性最丰富。然而,地处干旱半干旱地区的东部欧亚草原在过去 20 年间经历了剧烈的气候变化和高强度人类活动的影响,导致大规模的草原退化。因此,准确估算地上生物量(AGB,gC·m)和地下生物量(BGB,gC·m)是十分必要的。本研究在 2013 年和 2016-2018 年夏季,对东部欧亚草原主要草地类型进行了大量原位 AGB 和 BGB 测量。选择中分辨率成像光谱仪(MODIS)、数字高程模型(DEM)和气候变量的植被指数作为独立变量,采用随机森林(RF)建立 AGB 和 BGB 的预测模型。AGB(R = 0.47,MAE = 21.06 gC·m,RMSE = 27.52 gC·m)和 BGB(R = 0.44,MAE = 173.02 gC·m,RMSE = 244.20 gC·m)模型均具有较好的精度。然后,将 RF 模型应用于过去 20 年(2000-2018 年)研究区的空间显式 AGB 和 BGB 估算。结果表明,无论是 AGB 还是 BGB,其值均呈现出大兴安岭较高,向东、向西逐渐降低的趋势。其中,AGB 和 BGB 的平均值分别为 62.16 gC·m 和 531.35 gC·m。气候因素对生物量的控制作用明显大于人为驱动因素,在生长高峰期,水分亏缺和温度升高分别是限制 AGB 和 BGB 的主要因素。这些发现为畜牧业的科学管理提供了科学数据,有助于实现东部欧亚草原草地生态的可持续发展。

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