文献类型：期刊文献

英文题名：Scale effect of climate factors on soil organic carbon stock in natural grasslands of northern China

作者：Liu, Zhimin[1] Zhou, Quanlai[1] Ma, Qun[1] Kuang, Wennong[2] Daryanto, Stefani[3,4,5] Wang, Lixin[5] Wu, Jing[6] Liu, Bo[7] Zhu, Jinlei[8] Cao, Chengyou[9] Li, Xuehua[1] Kou, Zhenwu[1] Shou, Wenkai[10] Qian, Jianqiang[10] Liu, Minghu[11] Xin, Zhiming[11] Cui, Xue[12] Liang, Wei[1,13]

第一作者：Liu, Zhimin

通信作者：Liang, W[1]

机构：[1]Chinese Acad Sci, Inst Appl Ecol, Shenyang 110016, Peoples R China;[2]Beijing Forestry Univ, Beijing 100083, Peoples R China;[3]Beijing Normal Univ, State Key Lab Earth Surface Proc & Resources Ecol, Fac Geog Sci, Beijing 100875, Peoples R China;[4]Beijing Normal Univ, Inst Land Surface Syst & Sustainable Dev, Fac Geog Sci, Beijing 100875, Peoples R China;[5]Indiana Univ Purdue Univ Indianapolis IUPUI, Dept Earth Sci, Indianapolis, IN 46202 USA;[6]Taizhou Univ, Taizhou 318000, Peoples R China;[7]Qufu Normal Univ, Jining 273100, Peoples R China;[8]Chinese Acad Forestry, Inst Desertificat, Beijing 100080, Peoples R China;[9]Northeastern Univ, Coll Sci, Shenyang 110004, Peoples R China;[10]Henan Agr Univ, Zhengzhou 450002, Peoples R China;[11]Chinese Acad Forestry, Expt Ctr Desert Forestry, Dengkou 015200, Peoples R China;[12]Stn Forest & Grassland Pest Control & Quarantine, Shenyang 110804, Liaoning Provin, Peoples R China;[13]Chinese Acad Sci, Inst Appl Ecol, 72 Wenhua Rd, Shenyang 110016, Liaoning, Peoples R China

年份：2023

卷号：146

外文期刊名：ECOLOGICAL INDICATORS

收录：;EI(收录号：20225013231536);Scopus(收录号：2-s2.0-85143536287);WOS:【SCI-EXPANDED(收录号:WOS:000900186200002)】；

基金：Acknowledgements This study was supported by National Natural Science Foundation of China (42007427) , (31770504) , and (31971732) . We would like to thank Yongming Luo, Hongmei Wang, Shanshan Zhai, Xiumei Wang and Shougang Yan for their assistances in soil sample collection and SOC determination. And we would like to thank Editage ( www.editage.cn) for English language editing.

语种：英文

外文关键词：Carbon cycling; Climate change; Grassland carbon storage; Grassland type; Scale dependence

摘要：Changes in grassland soil organic carbon stock (SOCS) may significantly affect the regional climate and carbon cycle of terrestrial ecosystems. However, how the impact of climate factors on SOCS and the dominant climate factors are regulated by the area scale of grasslands remains unclear. To understand the scale effects of climate on SOCS and how to accurately estimate SOCS at different scales, three area scales were defined by extending grassland types on the basis of meadow, typical and desert grasslands (Scale I (average area 37.22 x 104 km2) included each of these three types of grasslands, Scale II (average area 74.45 x 104 km2) was achieved by a pairwise combination of these three types of grasslands. Scale III (area 111.67 x 104 km2) was an aggregate of these three types of grasslands), the relationship between climate factors (i.e., mean annual precipitation, mean annual temperature, annual maximum temperature, annual minimum temperature, mean annual ground tem-perature, mean annual humidity, annual sunshine duration, annual maximum depth of accumulated snow, and the number of snow-covered days) and SOCS at the three scales were explored in the grasslands of northern China. Our results indicated that the total SOCS in grasslands at the three scales was ordered as desert grassland < meadow grassland < typical grassland. Of the nine climate factors, mean annual precipitation, positively correlated with SOCS, was the most significant climatic factor for all three scales. The dominant climatic factors of the SOCS differed across grassland area scales (i.e., MAP and MAH for meadow grassland, AMAT, MAP, NSD, and MAH for typical grassland, MAP, NSD, MAH, AMAT, and ASD for meadow-typical grassland scale, MAP, MAT, and MAGT for typical-desert grassland scale, MAP and MAT for meadow-typical-desert grassland scale). The impact of climate factors on the SOCS decreased as the scale increased. It is essential to screen appropriate climate predictors according to a given area scale when assessing regional SOCS. Multiple climate factors are better predictors for accessing SOCS at a small scale. At a large scale, however, dominant climatic factors are predictors that are more efficient.