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Multi‐scale heterogeneity in vegetation and soil carbon in exurban residential land of southeastern Michigan, USA
dc.contributor.authorCurrie, William S.
dc.contributor.authorKiger, Sarah
dc.contributor.authorNassauer, Joan I.
dc.contributor.authorHutchins, Meghan
dc.contributor.authorMarshall, Lauren L.
dc.contributor.authorBrown, Daniel G.
dc.contributor.authorRiolo, Rick L.
dc.contributor.authorRobinson, Derek T.
dc.contributor.authorHart, Stephanie K.
dc.date.accessioned2016-07-06T18:21:56Z
dc.date.available2017-09-06T14:20:20Zen
dc.date.issued2016-07
dc.identifier.citationCurrie, William S.; Kiger, Sarah; Nassauer, Joan I.; Hutchins, Meghan; Marshall, Lauren L.; Brown, Daniel G.; Riolo, Rick L.; Robinson, Derek T.; Hart, Stephanie K. (2016). "Multi‐scale heterogeneity in vegetation and soil carbon in exurban residential land of southeastern Michigan, USA." Ecological Applications (5): 1421-1436.
dc.identifier.issn1051-0761
dc.identifier.issn1939-5582
dc.identifier.urihttps://hdl.handle.net/2027.42/122437
dc.description.abstractExurban residential land (one housing unit per 0.2–16.2 ha) is growing in importance as a human‐dominated land use. Carbon storage in the soils and vegetation of exurban land is poorly known, as are the effects on C storage of choices made by developers and residents. We studied C storage in exurban yards in southeastern Michigan, USA, across a range of parcel sizes and different types of neighborhoods. We divided each residential parcel into ecological zones (EZ) characterized by vegetation, soil, and human behavior such as mowing, irrigation, and raking. We found a heterogeneous mixture of trees and shrubs, turfgrasses, mulched gardens, old‐field vegetation, and impervious surfaces. The most extensive zone type was turfgrass with sparse woody vegetation (mean 26% of parcel area), followed by dense woody vegetation (mean 21% of parcel area). Areas of turfgrass with sparse woody vegetation had trees in larger size classes (> 50 cm dbh) than did areas of dense woody vegetation. Using aerial photointerpretation, we scaled up C storage to neighborhoods. Varying C storage by neighborhood type resulted from differences in impervious area (8–26% of parcel area) and area of dense woody vegetation (11–28%). Averaged and multiplied across areas in differing neighborhood types, exurban residential land contained 5240 ± 865 g C/m2 in vegetation, highly sensitive to large trees, and 13 800 ± 1290 g C/m2 in soils (based on a combined sampling and modeling approach). These contents are greater than for agricultural land in the region, but lower than for mature forest stands. Compared with mature forests, exurban land contained more shrubs and less downed woody debris and it had similar tree size‐class distributions up to 40 cm dbh but far fewer trees in larger size classes. If the trees continue to grow, exurban residential land could sequester additional C for decades. Patterns and processes of C storage in exurban residential land were driven by land management practices that affect soil and vegetation, reflecting the choices of designers, developers, and residents. This study provides an example of human‐mediated C storage in a coupled human–natural system.
dc.publisherUS Geological Service
dc.publisherWiley Periodicals, Inc.
dc.subject.otherlandscape
dc.subject.otherscaling
dc.subject.othersoils
dc.subject.otherspatial heterogeneity
dc.subject.othertree cover
dc.subject.otherurban landscape
dc.subject.otherexurban landscape
dc.subject.otherhuman‐dominated landscape
dc.subject.otherland use
dc.subject.othercarbon storage
dc.subject.othercarbon sequestration
dc.titleMulti‐scale heterogeneity in vegetation and soil carbon in exurban residential land of southeastern Michigan, USA
dc.typeArticleen_US
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelEcology and Evolutionary Biology
dc.subject.hlbtoplevelScience
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/122437/1/eap1313.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/122437/2/eap1313_am.pdf
dc.identifier.doi10.1890/15-0817
dc.identifier.sourceEcological Applications
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