Global patterns of nutrient limitation in soil microorganisms

Limitation of soil microorganisms by key nutrients such as nitrogen (N)
and phosphorus (P) controls ecosystem processes, including soil carbon
cycling. Thus, it is fundamental to estimate and understand the global
patterns of microbial nutrient limitation. Using ecoenzyme stoichiometry
model and 5,259 field observations of natural ecosystems in combination
with Random Forest (RF) models, we predicted the global distributions of
microbial N and P limitation (MNL and MPL, respectively) in global surface
soils  at a resolution of 0.1 × 0.1°. The maps suggested that
soil microorganisms were limited by N and P in 39 and 57%, respectively,
of natural terrestrial surface areas, with 21% of areas with N and P
co-limitation. As the first global assessment of spatial variation in
microbial N and P limitation, our datasets could be used in Earth system
models to improve projections of soil C cycling under global change.

氮、磷等关键养分对土壤微生物的限制作用，调控着包括土壤碳循环在内的各类生态系统过程。因此，估算并阐明微生物养分限制的全球分布格局至关重要。本研究结合生态酶化学计量模型（ecoenzyme stoichiometry model）与5259份自然生态系统野外观测数据，并辅以随机森林（Random Forest, RF）模型，以0.1°×0.1°的空间分辨率，预测了全球表层土壤中微生物氮限制（MNL）与微生物磷限制（MPL）的全球分布格局。该预测空间分布图显示，在全球自然陆地表层区域中，分别有39%和57%的区域存在微生物氮限制与磷限制，另有21%的区域同时受氮、磷共同限制。作为首个针对微生物氮、磷限制空间变异的全球评估研究，本数据集可应用于地球系统模型（Earth system models），以提升全球变化背景下土壤碳循环的预测预估精度。

搜集汇总

背景与挑战

背景概述

该数据集提供了全球土壤微生物氮和磷限制的空间分布预测，分辨率为0.1×0.1°，基于5,259个实地观测数据和随机森林模型。研究结果揭示了微生物在39%的区域受氮限制，57%受磷限制，21%的区域存在氮磷共同限制，对理解土壤碳循环和全球变化具有重要意义。