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8 results for “Biodiversity surrogates”
Data from: Patterns of biodiverse, understudied groups do not mirror those of the surrogate groups that set conservation priorities: a case study from the Mid-Atlantic Coastal Plain of eastern North America
We conducted biodiversity inventories of lichens, woody plants, and sedges at 32 sites on the Mid-Atlantic Coastal Plain of eastern North America between November 2012 and June 2015. Each site comprised a single, uniform habitat, and sites were classified as: Coastal Plain Floodplain forest, Coastal Plain Flatwood swamp, Coastal Plain Oak-Pine forest, Maritime forest, Mixed Mesic Hardwood forest, or Tidal forest. We compared alpha diversity and community assemblages of each organismal group across the sites, and compared selected minimal reserve sets in order to visualize biodiversity patterns and assess whether specific components of vascular plants (sedges and woody plants) serve as an effective surrogate for lichens. Woody plants provide a direct substrate for lichen growth, but there was no significant correlation between the alpha diversity of these groups. For conserving maximal species richness among the studied groups, lichens outperformed the sedges and woody plants as the better surrogate group for building minimum reserve sets, even though vascular plants are more commonly used as a surrogate. Likewise, sedge alpha diversity was not correlated with lichens, or with woody plants. Although no group was an effective indicator for high alpha diversity sites of other organisms, a significant correlation between the community assemblages of lichens and woody plants suggests that protecting varied types of plant communities might serve as a workable surrogate for protecting lichens. The lack of congruence between species richness patterns across organismal groups suggests that the mechanisms that shape patterns of diversity are not identical, and that identifying and incorporating specific biodiversity indicators for understudied groups into conservation policy is necessary to ensure their protection.
Data from: Surrogate taxa and fossils as reliable proxies of spatial biodiversity patterns in marine benthic communities
Rigorous documentation of spatial heterogeneity (β-diversity) in present-day and preindustrial ecosystems is required to assess how marine communities respond to environmental and anthropogenic drivers. However, the overwhelming majority of contemporary and palaeontological assessments have centred on single higher taxa. To evaluate the validity of single taxa as community surrogates and palaeontological proxies, we compared macrobenthic communities and sympatric death assemblages at 52 localities in Onslow Bay (NC, USA). Compositional heterogeneity did not differ significantly across datasets based on live molluscs, live non-molluscs, and all live organisms. Death assemblages were less heterogeneous spatially, likely reflecting homogenization by time-averaging. Nevertheless, live and dead datasets were greater than 80% congruent in pairwise comparisons to the literature estimates of β-diversity in other marine ecosystems, yielded concordant bathymetric gradients, and produced nearly identical ordinations consistently delineating habitats. Congruent estimates from molluscs and non-molluscs suggest that single groups can serve as reliable community proxies. High spatial fidelity of death assemblages supports the emerging paradigm of Conservation Palaeobiology. Integrated analyses of ecological and palaeontological data based on surrogate taxa can quantify anthropogenic changes in marine ecosystems and advance our understanding of spatial and temporal aspects of biodiversity.
Data from: Patterns of biodiverse, understudied groups do not mirror those of the surrogate groups that set conservation priorities: a case study from the Mid-Atlantic Coastal Plain of eastern North America
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Data from: Surrogate taxa and fossils as reliable proxies of spatial biodiversity patterns in marine benthic communities
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Data from: The use and utility of surrogates in biodiversity monitoring programmes
Monitoring programmes are intended to inform effective biodiversity conservation and management (Legge et al. 2018). Well‐designed programmes can establish baseline conditions, determine trends in threatened species populations, quantify the effects of management, and provide warning of ecosystem changes (Magurran et al. 2010). For these reasons, biodiversity monitoring underpins the activities of land management agencies worldwide. However, it is not always possible to directly monitor key variables at ideal spatio‐temporal resolutions, due to resourcing or logistic constraints. For example, direct monitoring of koalas (Phascolarctos cinereus) can be cost‐ and time‐intensive as koalas are cryptic, occur at low densities, and are difficult to reliably observe in dense forest canopies (McAlpine et al. 2006).
Data from: Dynamic species co-occurrence networks require dynamic biodiversity surrogates
In conservation it is inevitable that surrogates be selected to represent the occurrence of hard–to–find species and find priority locations for management. However, species co–occurrence can vary over time. Here we demonstrate how temporal dynamics in species co–occurrence influence the ability of managers to choose the best surrogate species. We develop an efficient optimisation formulation that selects the optimal set of complementary surrogate species from any co–occurrence network. We apply it to two Australian datasets on successional bird responses to disturbances of revegetation and fire. We discover that a surprisingly small number of species are required to represent the majority of species co–occurrences at any one time. Because co–occurrence patterns are temporally dynamic, the optimal set of surrogates, and the number of surrogates required to achieve a desired surrogacy power, depend on sampling effort and the successional state of a system. Overlap in optimal sets of surrogates for representing 70% of co–occurring species ranges from zero to 57% depending on when the surrogacy decision is made. Surrogate sets representing early successional communities over–estimate the power of surrogacy decisions at later times. Our results show that in dynamic systems, optimal surrogates might be selected in different ways: (1) use short–term monitoring to choose a larger number of static less–informative surrogates; (2) use long–term monitoring to choose a smaller number of static high–power surrogates that may poorly represent early successional co–occurrence; (3) develop adaptive surrogate selection frameworks with high short–term and long–term surrogacy power that update surrogate sets and capture temporal dynamics in species co–occurrence. Our results suggest vigilance is needed when selecting surrogates for other co–occurring species in dynamic landscapes, as selected surrogates from one time may have reduced effectiveness at a different time. Ultimately, decisions that fail to acknowledge dynamic species co–occurrence will lead to uninformative or redundant surrogates.
Data from: Dynamic species co-occurrence networks require dynamic biodiversity surrogates
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Data from: The use and utility of surrogates in biodiversity monitoring programmes
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