<?xml version="1.0"?>
<metadata>
<idinfo>
<citation>
<citeinfo>
<origin>Gretchen J.A. Hansen</origin>
<origin>Jordan S. Read</origin>
<origin>Jonathan F. Hansen</origin>
<origin>Luke A. Winslow</origin>
<pubdate>2016</pubdate>
<title>Spatial data: Projected shifts in fish species dominance in Wisconsin lakes under climate change</title>
<geoform>text files</geoform>
<onlink>http://dx.doi.org/10.5066/F7X0655K</onlink>
<lworkcit>
<citeinfo>
<origin>Gretchen J.A. Hansen</origin>
<origin>Jordan S. Read</origin>
<origin>Jonathan F. Hansen</origin>
<origin>Luke A. Winslow</origin>
<pubdate>2016</pubdate>
<title>Projected shifts in fish species dominance in Wisconsin lakes under climate change</title>
</citeinfo>
</lworkcit>
</citeinfo>
</citation>
<descript>
<abstract>Temperate lakes may contain both coolwater fish species such as walleye (Sander vitreus) and warmwater species such as largemouth bass (Micropterus salmoides). Recent declines in walleye and increases in largemouth bass populations have raised questions regarding the future trajectories and appropriate management actions for these important species. We developed a thermodynamic model of water temperatures driven by downscaled climate data and lake specific characteristics to estimate daily water temperature profiles for 2148 lakes in Wisconsin, USA under contemporary (1989-2014) and future (2040-2064 and 2065-2089) conditions. We correlated contemporary walleye recruitment success and largemouth bass relative abundance to modeled water temperature, lake morphometry, and lake productivity, and projected lake specific changes in each species under future climate conditions. Walleye recruitment success was negatively related and largemouth bass abundance was positively related to water temperature degree days. Both species exhibited a threshold response at the same degree day value, albeit in opposite directions. Degree days were predicted to increase in the future, although the magnitude of increase varied among lakes, time periods, and global circulation models (GCMs). Under future conditions, we predicted a loss of walleye recruitment in 30-70% of lakes, and an increase to high largemouth bass relative abundance in 17-55% of additional lakes. The percentage of lakes with abundant largemouth bass and failed walleye recruitment was predicted to increase from 59% in contemporary conditions to 86% of lakes by mid-century and to 91% of lakes by late century, based on median projections across GCMs. Conversely, the number of lakes with successful walleye recruitment and low largemouth bass abundance was predicted to decline from 8.5% of lakes in contemporary conditions to only 38 1% of lakes in both future periods. Importantly, we identify nearly 100 resilient lakes predicted to continue to support walleye recruitment. Management resources could target preserving these resilient walleye populations. This data set contains the following parameters: SP_ID, WBDY_NAME, WBDY_WBIC, SECCHI_AVG, ZMAX, CANOPY_HT, AREA, BASS_PRB1, BASS_PRB2, BASS_PRB3, WALL_PRB1, WALL_PRB2, WALL_PRB3. calculated for 2148 lakes</abstract>
<purpose>Fisheries biology, limnological research, and climate science.</purpose>
</descript>
<timeperd>
<timeinfo>
<rngdates>
<begdate>19790101</begdate>
<enddate>20891231</enddate>
</rngdates>
</timeinfo>
<current>model estimates</current>
</timeperd>
<status>
<progress>Complete</progress>
<update>none planned</update>
</status>
<spdom>
<bounding>
<westbc>-92.814</westbc>
<eastbc>-86.937</eastbc>
<northbc>46.853</northbc>
<southbc>42.489</southbc>
</bounding>
</spdom>
<keywords>
<theme>
<themekt>none</themekt>
<themekey>water</themekey>
<themekey>temperate lakes</themekey>
<themekey>reservoirs</themekey>
<themekey>modeling</themekey>
<themekey>climate change</themekey>
<themekey>Secchi depth</themekey>
<themekey>water clarity</themekey>
<themekey>wind sheltering</themekey>
<themekey>lake depth</themekey>
<themekey>walleye</themekey>
<themekey>bass</themekey>
<themekey>largemouth bass</themekey>
</theme>
<theme>
<themekt>ISO 19115 Topic Category</themekt>
<themekey>environment</themekey>
<themekey>inlandWaters</themekey>
<themekey>007</themekey>
<themekey>012</themekey>
</theme>
<place>
<placekt>Department of Commerce, 1995, Countries, Dependencies, Areas of Special Sovereignty, and
Their Principal Administrative Divisions, Federal Information Processing Standard (FIPS) 10-4,
Washington, D.C., National Institute of Standards and Technology</placekt>
<placekey>United States</placekey>
<placekey>US</placekey>
</place>
<place>
<placekt>U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST</placekt>
<placekey>Wisconsin</placekey>
<placekey>WI</placekey>
</place>
<place>
<placekt>none</placekt>
<placekey>Wisconsin</placekey>
</place>
</keywords>
<accconst>none</accconst>
<useconst>These data are subject to change and are not citable until reviewed and approved for official publication by the USGS</useconst>
<ptcontac>
<cntinfo>
<cntperp>
<cntper>Jordan S. Read</cntper>
<cntorg>U.S. Geological Survey</cntorg>
</cntperp>
<cntaddr>
<addrtype>Mailing and Physical</addrtype>
<address>8551 Research Way</address>
<city>Middleton</city>
<state>WI</state>
<postal>53562</postal>
<country>U.S.A.</country>
</cntaddr>
<cntvoice>608 821-3922</cntvoice>
<cntemail>jread@usgs.gov</cntemail>
</cntinfo>
</ptcontac>
<datacred>This study was funded by the Department of the Interior Northeast Climate Science Center, the United States Geological Survey National Climate Change and Wildlife Science Center grant 10909172 to the University of Wisconsin–Madison, and the WDNR Federal Aid in Sport Fish Restoration (Project F-95-P, study SSBW).</datacred>
<native>Environment as of Metadata Creation: Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.3.1 (Build 4959) Service Pack N/A (Build N/A).</native>
<crossref>
<citeinfo>
<origin>Jamon Van Den Hoek</origin>
<origin>Jordan S. Read</origin>
<origin>Luke A. Winslow</origin>
<origin>Paul Montesano</origin>
<origin>Corey D. Markfort</origin>
<pubdate>2015</pubdate>
<title>Examining the utility of satellite-based wind sheltering estimates for lake hydrodynamic modeling</title>
<onlink>http://dx.doi.org/10.1016/j.rse.2014.10.024</onlink>
</citeinfo>
</crossref>
<crossref>
<citeinfo>
<origin>Jordan S. Read</origin>
<origin>Luke A. Winslow</origin>
<origin>Gretchen J.A. Hansen</origin>
<origin>Jamon Van Den Hoek</origin>
<origin>Paul C. Hanson</origin>
<origin>Louise C. Bruce</origin>
<origin>Corey D. Markfort</origin>
<pubdate>2014</pubdate>
<title>Simulating 2368 temperate lakes reveals weak coherence in stratification phenology</title>
<onlink>http://dx.doi.org/10.1016/j.ecolmodel.2014.07.029</onlink>
</citeinfo>
</crossref>
</idinfo>
<dataqual>
<attracc>
<attraccr>No formal attribute accuracy tests were conducted.</attraccr>
</attracc>
<logic>not applicable</logic>
<complete>not applicable</complete>
<posacc>
<horizpa>
<horizpar>A formal accuracy assessment of the horizontal positional information in the data set has not been conducted.</horizpar>
</horizpa>
<vertacc>
<vertaccr>A formal accuracy assessment of the vertical positional information in the data set has either not been conducted, or is not applicable.</vertaccr>
</vertacc>
</posacc>
<lineage>
<procstep>
<procdesc>Properties for 2148 lakes across Wisconsin between 1979 and 2014 and results from fish models. Lake properties from this dataset were used to parameterize models for lake temperatures. Results of fish probabilities for two species (largemouth bass and walleye) are included for each lake for the periods 1989-2014, 2040-2064, and 2065-2089.</procdesc>
<procdate>20160804</procdate>
</procstep>
</lineage>
</dataqual>
<spdoinfo>
<indspref>Wisconsin</indspref>
<direct>Point</direct>
<ptvctinf>
<sdtsterm>
<sdtstype>Point</sdtstype>
<ptvctcnt>2148</ptvctcnt>
</sdtsterm>
</ptvctinf>
</spdoinfo>
<spref>
<horizsys>
<geograph>
<latres>0.1</latres>
<longres>0.1</longres>
<geogunit>Decimal degrees</geogunit>
</geograph>
<geodetic>
<horizdn>North American Datum of 1983</horizdn>
<ellips>Geodetic Reference System 80</ellips>
<semiaxis>6378137.0</semiaxis>
<denflat>298.257</denflat>
</geodetic>
</horizsys>
</spref>
<eainfo>
<detailed>
<enttyp>
<enttypl>Lake properties used for parameterizing models</enttypl>
<enttypd>Calculated lake properties derived for running a series of model scenarios.</enttypd>
<enttypds>Producer Defined</enttypds>
</enttyp>
<attr>
<attrlabl>SP_ID</attrlabl>
<attrdef>Spatial ID. Monotonically increasing polygon ID</attrdef>
<attrdefs>numeric</attrdefs>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>2150</rdommax>
<attrunit>NA</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl>WBDY_NAME</attrlabl>
<attrdef>lake common name</attrdef>
<attrdefs>http://dnr.wi.gov/maps/gis/datahydro.html</attrdefs>
<attrdomv>
<rdom>
<rdommin>NA</rdommin>
<rdommax>NA</rdommax>
<attrunit>NA</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl>WBDY_WBIC</attrlabl>
<attrdef>Wisconsin Water Body Identification Code</attrdef>
<attrdefs>http://dnr.wi.gov/maps/gis/datahydro.html</attrdefs>
<attrdomv>
<rdom>
<rdommin>200</rdommin>
<rdommax>2964400</rdommax>
<attrunit>NA</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl>SECCHI_AVG</attrlabl>
<attrdef>Average Secchi depth (water clarity measurement). All secchi measurements for a given lake were averaged to derive this value.</attrdef>
<attrdefs>Angelo Secchi</attrdefs>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>13.3541</rdommax>
<attrunit>meters</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl>ZMAX</attrlabl>
<attrdef>The maximum known depth of the lake</attrdef>
<attrdefs>http://dnr.wi.gov/maps/gis/datahydro.html</attrdefs>
<attrdomv>
<rdom>
<rdommin>0.9144</rdommin>
<rdommax>106.68</rdommax>
<attrunit>meters</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl>CANOPY_HT</attrlabl>
<attrdef>The average canopy height surrounding the lake</attrdef>
<attrdefs>Van den Hoek et al. 2015</attrdefs>
<attrdomv>
<rdom>
<rdommin>1</rdommin>
<rdommax>25.4255</rdommax>
<attrunit>meters</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl>AREA</attrlabl>
<attrdef>The lake surface area in square meters</attrdef>
<attrdefs>http://dnr.wi.gov/maps/gis/datahydro.html</attrdefs>
<attrdomv>
<rdom>
<rdommin>10238.55</rdommin>
<rdommax>533937177</rdommax>
<attrunit>square meters</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl>BASS_PRB1</attrlabl>
<attrdef>The probability of high largemouth bass abundance in the period 1989-2014. High largemouth bass abundance as defined by Hansen et al. 2016.</attrdef>
<attrdefs>Hansen et al. 2016</attrdefs>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1</rdommax>
<attrunit>numeric probability</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl>BASS_PRB2</attrlabl>
<attrdef>The probability of high largemouth bass abundance in the period 2040-2064. High largemouth bass abundance as defined by Hansen et al. 2016.</attrdef>
<attrdefs>Hansen et al. 2016</attrdefs>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1</rdommax>
<attrunit>numeric probability</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl>BASS_PRB3</attrlabl>
<attrdef>The probability of high largemouth bass abundance in the period 2065-2089. High largemouth bass abundance as defined by Hansen et al. 2016.</attrdef>
<attrdefs>Hansen et al. 2016</attrdefs>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1</rdommax>
<attrunit>numeric probability</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl>WALL_PRB1</attrlabl>
<attrdef>The probability of good walleye recruitment in the period 1989-2014. Good walleye recruitment as defined by Hansen et al. 2016.</attrdef>
<attrdefs>Hansen et al. 2016</attrdefs>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1</rdommax>
<attrunit>numeric probability</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl>WALL_PRB2</attrlabl>
<attrdef>The probability of good walleye recruitment in the period 2040-2064. Good walleye recruitment as defined by Hansen et al. 2016.</attrdef>
<attrdefs>Hansen et al. 2016</attrdefs>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1</rdommax>
<attrunit>numeric probability</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl>WALL_PRB3</attrlabl>
<attrdef>The probability of good walleye recruitment in the period 2065-2089. Good walleye recruitment as defined by Hansen et al. 2016.</attrdef>
<attrdefs>Hansen et al. 2016</attrdefs>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1</rdommax>
<attrunit>numeric probability</attrunit>
</rdom>
</attrdomv>
</attr>
</detailed>
</eainfo>
<distinfo>
<distrib>
<cntinfo>
<cntperp>
<cntper>Jordan S. Read</cntper>
<cntorg>U.S. Geological Survey - ScienceBase</cntorg>
</cntperp>
<cntaddr>
<addrtype>Mailing and Physical</addrtype>
<address>Denver Federal Center, Building 810, Mail Stop 302</address>
<city>Denver</city>
<state>CO</state>
<postal>80255</postal>
<country>U.S.A.</country>
</cntaddr>
<cntvoice>1-888-275-8747</cntvoice>
<cntemail>sciencebase@usgs.gov</cntemail>
</cntinfo>
</distrib>
<distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.</distliab>
<stdorder>
<digform>
<digtinfo>
<formname>Shapefile Data Set</formname>
<formvern>none</formvern>
</digtinfo>
<digtopt>
<onlinopt>
<computer>
<networka>
<networkr>http://dx.doi.org/10.5066/F7X0655K</networkr>
</networka>
</computer>
</onlinopt>
</digtopt>
</digform>
<fees>None</fees>
</stdorder>
</distinfo>
<metainfo>
<metd>20160624</metd>
<metc>
<cntinfo>
<cntperp>
<cntper>Jordan S. Read</cntper>
<cntorg>U.S. Geological Survey</cntorg>
</cntperp>
<cntpos>Data Chief</cntpos>
<cntaddr>
<addrtype>Mailing and Physical</addrtype>
<address>8551 Research Way #120</address>
<city>Middleton</city>
<state>WI</state>
<postal>53562</postal>
<country>U.S.A.</country>
</cntaddr>
<cntvoice>608 821-3922</cntvoice>
<cntfax>608 821-3817</cntfax>
<cntemail>jread@usgs.gov</cntemail>
</cntinfo>
</metc>
<metstdn>FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata</metstdn>
<metstdv>FGDC-STD-001.1-1999</metstdv>
</metainfo>
</metadata>
jordansread
commented
7 years ago