Dataset Information

Long-term dataset on aquatic responses to concurrent climate change and recovery from acidification.

ABSTRACT: Concurrent regional and global environmental changes are affecting freshwater ecosystems. Decadal-scale data on lake ecosystems that can describe processes affected by these changes are important as multiple stressors often interact to alter the trajectory of key ecological phenomena in complex ways. Due to the practical challenges associated with long-term data collections, the majority of existing long-term data sets focus on only a small number of lakes or few response variables. Here we present physical, chemical, and biological data from 28 lakes in the Adirondack Mountains of northern New York State. These data span the period from 1994-2012 and harmonize multiple open and as-yet unpublished data sources. The dataset creation is reproducible and transparent; R code and all original files used to create the dataset are provided in an appendix. This dataset will be useful for examining ecological change in lakes undergoing multiple stressors.

SUBMITTER: Leach TH

PROVIDER: S-EPMC5892373 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature

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Long-term dataset on aquatic responses to concurrent climate change and recovery from acidification.

Leach Taylor H TH Winslow Luke A LA Acker Frank W FW Bloomfield Jay A JA Boylen Charles W CW Bukaveckas Paul A PA Charles Donald F DF Daniels Robert A RA Driscoll Charles T CT Eichler Lawrence W LW Farrell Jeremy L JL Funk Clara S CS Goodrich Christine A CA Michelena Toby M TM Nierzwicki-Bauer Sandra A SA Roy Karen M KM Shaw William H WH Sutherland James W JW Swinton Mark W MW Winkler David A DA Rose Kevin C KC

Scientific data 20180410

Concurrent regional and global environmental changes are affecting freshwater ecosystems. Decadal-scale data on lake ecosystems that can describe processes affected by these changes are important as multiple stressors often interact to alter the trajectory of key ecological phenomena in complex ways. Due to the practical challenges associated with long-term data collections, the majority of existing long-term data sets focus on only a small number of lakes or few response variables. Here we pres ...[more]

PMID: 29633989

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Project description:Forest understory plant communities in the United States harbor most of the vegetation diversity of forests and are often sensitive to changes in climate and atmospheric deposition of nitrogen (N). As temperature increases from human-caused climate change and soils recover from long term atmospheric deposition of N and sulfur (S), it is unclear how these important ecosystem components will respond. We used the newly developed US-PROPS model - based on species response functions for over 1,500 species - to evaluate the potential impacts of atmospheric N deposition and climate change on species occurrence probability for a case study in the forested ecosystems of the Great Smoky Mountains National Park (GRSM), an iconic park in the southeastern United States. We evaluated six future scenarios from various combinations of two potential recoveries of soil pH (no change, +0.5 pH units) and three climate futures (no change, +1.5, +3.0 deg C). Species critical loads (CLs) of N deposition and projected responses for each scenario were determined. Critical loads were estimated to be low (< 2 kg N/ha/yr) to protect all species under current and expected future conditions across broad regions of GRSM and these CLs were exceeded at large spatial extents among scenarios. Northern hardwood, yellow pine, and chestnut oak forests were among the most N-sensitive vegetation map classes found within GRSM. Potential future air temperature conditions generally led to decreases in the maximum occurrence probability for species. Therefore, CLs were considered "unattainable" in these situations because the specified level of protection used for CL determination (i.e., maximum occurrence probability under ambient conditions) was not attainable. Although some species showed decreases in maximum occurrence probability with simulated increases in soil pH, most species were favored by increased pH. The importance of our study is rooted in the methodology described here for establishing regional CLs and for evaluating future conditions, which is transferable to other national parks in the U.S. and in Europe where the original PROPS model was developed.

Dataset Information

Long-term dataset on aquatic responses to concurrent climate change and recovery from acidification.

Publications

Long-term dataset on aquatic responses to concurrent climate change and recovery from acidification.

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