Ecosystem Indicators and Their Role in Evaluating BEMF
The intricate processes of ecosystems are under scrutiny as researchers aim to better understand the Belowground Ecosystem Multifunctionality (BEMF) across various climates. Using a set of specific indicators, this study aims to unravel key ecosystem functions such as carbon storage, nutrient cycling, and productivity. Each indicator was meticulously chosen based on its relevance and availability as global raster data, with notable exclusions like decomposition rates due to data limitations.
Key Ecosystem Functions
A set of fifteen ecosystem indicators was selected, each tied to vital ecosystem processes such as carbon sequestration and nutrient dynamics. For instance, the belowground net primary productivity (BNPP) data, crucial for understanding carbon cycles, was obtained from figshare at a resolution of 1 km.
Meanwhile, data on belowground biomass carbon, reflecting biological productivity, was sourced from ORNL DAAC at a 300 m resolution. This dataset includes carbon in living plant tissues but excludes dead or displaced root material, focusing solely on live biomass.
Soil Nutrient Dynamics
Soil nutrient pools, encompassing properties like cation exchange capacity and organic carbon, were analyzed using the SoilGrids dataset. These data provide insights into soil fertility and nutrient cycles, critical for understanding ecosystem productivity.
Complementing this, soil dissolved organic carbon, a key player in soil carbon cycling, was derived from Dryad, and microbial biomass data were sourced from a global compilation.
Environmental and Biodiversity Factors
Climate Influences
Climate data, including historical temperature and precipitation records, were crucial for assessing the relationship between BEMF and environmental conditions. These datasets were sourced from WorldClim and analyzed for their impact on ecosystem functions.
Soil and Biodiversity Contributions
Soil physical properties, such as pH and clay content, were retrieved from SoilGrids to explore their influence on multifunctionality. Additionally, biodiversity data, reflecting the diversity of soil organisms, were gathered from the European Soil Data Centre, highlighting the role of belowground diversity in ecosystem functions.
Climate Classification and BEMF Assessment
The Köppen–Geiger climate classification was employed to examine BEMF across diverse biomes. Global maps of this classification were used alongside the BEMF data to identify patterns and discrepancies in different climate zones.
Approaches to Calculating BEMF
Three methodologies were applied to calculate BEMF: averaging, PCA, and single-threshold approaches. Each method offers unique insights, with the averaging approach providing a straightforward mean of ecosystem functions, while PCA reduces dimensionality and addresses collinearity. The single-threshold method sets a functional benchmark, determining the ecosystem’s capacity to maintain functions.
Analyzing Spatial Similarities
To compare the spatial similarities of BEMF derived from different approaches, methods like the comparison map profile (CMP) were employed. This analysis revealed consistent spatial patterns across methods, reinforcing the robustness of the PCA approach among others.
Data Analysis Techniques
Advanced statistical analyses were employed to discern the relationships between BEMF and various environmental factors. Linear regression analyses and structural equation modeling (SEM) were used to explore these relationships, highlighting the significant impact of climate and biodiversity on ecosystem multifunctionality.
Future Projections and Machine Learning Models
Looking ahead, the Random Forest model was identified as a reliable tool for predicting future BEMF changes under various climate scenarios. This model’s robustness ensures accurate simulations, aiding in understanding potential shifts in ecosystem functions due to climate change.
Further Information
For a comprehensive understanding of the research methodologies and design, refer to the Nature Portfolio Reporting Summary.
Original Story at www.nature.com