Scaling up biodiversity-ecosystem function relationships across space and over time.

Area of Science:

• Ecology
• Ecosystem Science
• Conservation Biology

Background:

• Biodiversity loss significantly alters ecosystem functioning and services.
• Current understanding relies heavily on small-scale, short-term experiments, limiting real-world applicability.
• Scaling up experimental findings to landscape-level conservation is a critical challenge.

Purpose of the Study:

• To develop quantitative scaling relationships for biodiversity effects on ecosystem functioning.
• To investigate how temporal and spatial scales influence biodiversity-ecosystem functioning relationships.
• To provide a more accurate basis for predicting biodiversity loss impacts.

Main Methods:

• Compiled data from 374 experiments on plant diversity and biomass production.
• Developed quantitative scaling relationships to link experimental scale (temporal and spatial) with biodiversity effects.
• Analyzed the relative importance of temporal vs. spatial scales and complementarity vs. selection effects.

Main Results:

• Biodiversity effects on biomass production increase with both temporal (1.68x per 10-fold increase) and spatial (1.10x per 10-fold increase) scales.
• Temporal scale was a stronger driver of variation in biodiversity effects than spatial scale.
• Complementarity effects, not selection effects, were the primary drivers of positive biodiversity-ecosystem functioning interactions.

Conclusions:

• Small-scale experiments likely underestimate the full impact of biodiversity loss on ecosystem functioning.
• Quantitative scaling relationships are essential for bridging experimental findings and real-world ecological predictions.
• Accurate predictions of biodiversity loss consequences require considering complex space-time interactions and nonlinear responses.