The influence of soil properties and nutrients on conifer forest growth in Sweden, and the first steps in developing a nutrient availability metric
Abstract. The availability of nutrients regulates terrestrial carbon cycling and modifies ecosystem responses to environmental changes. Nonetheless, nutrient availability is often overlooked in climate-carbon cycle studies because it depends on the interplay of various soil factors that would ideally be comprised into one metric. Such a metric does not currently exist. Here, we used a Swedish forest inventory database that contains soil and tree growth data for > 2500 forests across Sweden to test which combination soil factors best explains variation in plant growth, and to take the first steps in developing a nutrient availability metric. For the latter, we started from a (yet unvalidated) metric for constraints on nutrient availability that was previously developed by IIASA (Laxenburg, Austria). This IIASA-metric was developed for crops and uses only indirect indicators of nutrient availability. Our analyses revealed that soil organic carbon content (SOC) and the soil carbon to nitrogen (C : N) ratio were the most important factors explaining variation in normalized (climate-independent) productivity. Normalized productivity increased with decreasing soil C : N ratio (R2 = 0.02–0.13), while SOC exhibited an empirical optimum (R2 = 0.05–0.15). The IIASA-metric was unrelated to normalized productivity (R2 = 0.00–0.01), because the soil factors under consideration were not well implemented, and because the C : N ratio was not included. We upgraded this metric by incorporating soil C : N and adjusting the relationship between SOC and nutrient availability in view of the observed relationship across our database. This upgraded metric explained a significant fraction of the variation (R2 = 0.03–0.21; depending on the applied method) and thus opens up new opportunities to further validate and improve it with other datasets, from forests and from other ecosystem types, to ultimately develop a generic global nutrient availability metric.