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A prairie plant community data set for addressing questions in community assembly and restoration
Author(s) -
Grman Emily,
Bassett Tyler,
Brudvig Lars A.
Publication year - 2014
Publication title -
ecology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.144
H-Index - 294
eISSN - 1939-9170
pISSN - 0012-9658
DOI - 10.1890/14-0888.1
Subject(s) - restoration ecology , ecology , novel ecosystem , plant community , ecosystem , context (archaeology) , biodiversity , environmental resource management , community structure , biomass (ecology) , functional ecology , geography , species richness , environmental science , biology , archaeology
By assisting the recovery of disturbed or destroyed ecosystems, ecological restoration plays an important role in biodiversity conservation. Moreover, restoration has been heralded as an “acid test” of ecological understanding, by affording the ability to study community assembly, ecosystem function, and human influence over ecosystems across large spatial and long temporal scales. These data sets report the outcome of community assembly, in terms of plant community composition and structure and one important ecosystem function (aboveground biomass production), in 29 prairie restorations in southwestern Michigan. We also report putative forces shaping the outcome of assembly including the species pools (seed mixes applied during restoration), site conditions, landscape context, and land‐use history. Detailed knowledge of each restoration effort, including seed mixes used, is unusual and makes these data sets uniquely suited to addressing questions in community assembly by comparing the sown seeds and resulting assembled plant community. For example, we have used the data to test the role of species pools in determining the diversity of assembling communities. We have also used the data to characterize the relative importance of various drivers of community assembly outcomes during restoration, as a step toward resolving the highly contingent and unpredictable outcomes that plague the field of ecological restoration. We suggest that these data sets may prove useful for addressing additional questions in community ecology through the lens of ecological restoration.