1. Global concern about human impact on biological diversity has triggered an intense research agenda on drivers and consequences of biodiversity change in parallel with international policy seeking to conserve biodiversity and associated ecosystem functions. Quantifying the trends in biodiversity is far from trivial, however, as recently documented by meta-analyses which report little if any net change of local species richness through time. 2. Here, we summarize several limitations of species richness as a metric of biodiversity change and show that the expectation of directional species richness trends under changing conditions is invalid. Instead, we illustrate how a set of species turnover indices provide more information content regarding temporal trends in biodiversity, as they reflect how dominance and identity shift in communities over time. 3. We apply these metrics to three monitoring data sets representing different ecosystem types. In all data sets, nearly complete species turnover occurred, but this was disconnected from any species richness trends. Instead, turnover was strongly influenced by changes in species presence (identities) and dominance (abundances). We further show that these metrics can detect phases of strong compositional shifts in monitoring data and thus identify a different aspect of biodiversity change decoupled from species richness. 4. Synthesis and application: Temporal trends in species richness are insufficient to capture key changes in biodiversity in changing environments. In fact, reductions in environmental quality can lead to transient increases in species richness if immigration or extinction have different temporal dynamics. Thus, biodiversity monitoring programs need to go beyond analyses of trends in richness in favour of more meaningful assessments of biodiversity change.01-Jun-2017
The data package contains one dataset:
- The file contains three data sets used for calculating species turnover. This includes data on marine phytoplankton (DUTCH), freshwater phytoplankton (IOWA) and terrestrial grassland vegetation (NUTNET). Each data set contains an identifier for the monitored ecosystem (StationID) and the the relative proportion of species of average annual biomass for each year (column year). Species are numbered from S1 to SX. Please note that for the grassland data, % cover is given instead of proportions.
|Datum van beschikbaarheid||20-jun-2017|
|Uitgever||University of Groningen|
|Tijdelijke dekking||2000 - 2010|
|Geografische dekking||Rottumerplaat, Noordwijk, Walcheren, Hansweert Geul, The Netherlands |