文献类型：期刊文献

英文题名：Topography mediates contrasting patterns of glomalin-related soil protein and its contribution to soil organic carbon in a tropical montane rainforest

作者：Ding, Zhangqi[1,2,3] Li, Yanpeng[4] Liu, Jieyang[2,3] Mou, Zhijian[2,3] Wang, Jun[2,3] Wu, Donghai[2,3] Hui, Dafeng[5] Sardans, Jordi[6,7] Penuelas, Josep[6,7] Petticord, Daniel F.[8] Xu, Han[4] Liu, Zhanfeng[2,3]

第一作者：Ding, Zhangqi

通信作者：Liu, ZF[1];Liu, ZF[2];Xu, H[3]

机构：[1]Anqing Normal Univ, Key Lab Biodivers Conservat & Characterist Resourc, Anqing 246133, Anhui, Peoples R China;[2]Chinese Acad Sci, Guangdong Prov Key Lab Appl Bot, South China Bot Garden, Guangzhou 510650, Peoples R China;[3]Chinese Acad Sci, Key Lab Natl Forestry & Grassland Adm Plant Conser, South China Bot Garden, Guangzhou 510650, Peoples R China;[4]Chinese Acad Forestry, Res Inst Trop Forestry, Guangzhou 510520, Peoples R China;[5]Tennessee State Univ, Dept Biol Sci, Nashville, TN 37209 USA;[6]UAB, Global Ecol Unit CREAF CSIC, CSIC, Cerdanyola Del Valles 08193, Catalonia, Spain;[7]CREAF, Cerdanyola Del Valles 08193, Catalonia, Spain;[8]Cornell Univ, Dept Ecol & Evolutionary Biol, Ithaca, NY 14850 USA

年份：2025

外文期刊名：PLANT AND SOIL

收录：;Scopus(收录号：2-s2.0-105004908186);WOS:【SCI-EXPANDED(收录号:WOS:001484586700001)】；

基金：This work was supported by the Guangdong Flagship Project of Basic and Applied Basic Research (2023B0303050001), the National Natural Science Foundation of China (42177289 and U22 A20449), and the Spanish Government (PID2022-140808 NB-I00).

语种：英文

外文关键词：Glomalin-related soil protein; Spatial variation; Spatial filter; Soil organic carbon; Tropical rainforest; Topography

摘要：Background and aimsGlomalin-related soil protein (GRSP), is a metabolite exuded by the extraradical hyphae of arbuscular mycorrhizal fungi (AMF), which enhances soil structure and consequently is often associated with improved fertility in forest soils. This study investigates how topography and local environmental conditions influence GRSP and its ratio with soil organic carbon (GRSP/SOC) to support forest management and carbon stock conservation.MethodsIn a 60-ha Jianfengling tropical montane rainforest plot, we investigated the spatial patterns of GRSP and GRSP/SOC across ridges, slopes, and valleys. Using a Random Forest model that accounted for spatial autocorrelation, we assessed how GRSP and GRSP/SOC varied with respect to topography, plant diversity, and soil physicochemistry.ResultsGRSP and GRSP/SOC exhibited strong spatial autocorrelation, with contrasting topographic trends: GRSP peaked in ridges but was lowest in valleys, whereas GRSP/SOC was highest in valleys. Soil total nitrogen, available phosphorus, and pH were key predictors of GRSP in ridges, while pH was the critical predictor of GRSP/SOC in valleys. Notably, total tree diversity-but not AMF-associated tree abundance or biomass- was significantly correlated with the relative contribution of easily extractable GRSP to SOC.ConclusionsTopography strongly influences the spatial distribution of GRSP and GRSP/SOC in tropical montane rainforests, with divergent patterns between these metrics. Total tree diversity, rather than AMF tree diversity, better predicts GRSP/SOC variations, evidence of important feedbacks between plant communities and the potential to sequester carbon in soil. These findings highlight the need to integrate landscape heterogeneity and biodiversity into forest carbon management strategies.