The platform will undergo maintenance on Sep 14 at about 9:30 AM EST and will be unavailable for approximately 1 hour.
2015
DOI: 10.1002/eco.1618
|View full text |Cite
|
Sign up to set email alerts
|

Spatial distributions of small water body types in modified landscapes: lessons from Indiana, USA

Abstract: Because of their large numbers and biogeochemical activity, small water bodies (SWB), such as ponds and wetlands, can have substantial cumulative effects on hydrologic, biogeochemical and biological processes, yet the spatial distributions of various SWB types are often unknown, especially in modified landscapes. Using updated National Wetland Inventory data, we compare the spatial distribution of SWB types across various ecoregions and land covers within the state of Indiana. Of 203 942 total SWB, 75% contain… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
9
0

Year Published

2016
2016
2022
2022

Publication Types

Select...
6

Relationship

1
5

Authors

Journals

citations
Cited by 13 publications
(9 citation statements)
references
References 59 publications
0
9
0
Order By: Relevance
“…This study confirms and expands previous findings that agriculture can alter the landscape‐scale characteristics of aquatic ecosystems, including WB SD . Recent historical regional‐ and watershed‐scale reconstructions clearly link changes in WB extent and WB SD with conversion of lands for agriculture (Christensen et al ; Julian et al ). Deliberate drainage and infilling of wetlands and other WB to increase arable land is likely the most important cause of the large differences in WB extent between agricultural and undeveloped landscapes (Fig.…”
Section: Discussionmentioning
confidence: 99%
See 2 more Smart Citations
“…This study confirms and expands previous findings that agriculture can alter the landscape‐scale characteristics of aquatic ecosystems, including WB SD . Recent historical regional‐ and watershed‐scale reconstructions clearly link changes in WB extent and WB SD with conversion of lands for agriculture (Christensen et al ; Julian et al ). Deliberate drainage and infilling of wetlands and other WB to increase arable land is likely the most important cause of the large differences in WB extent between agricultural and undeveloped landscapes (Fig.…”
Section: Discussionmentioning
confidence: 99%
“…Though WB size-abundance theory is meant to be predictive of undisturbed hydroscapes, it is frequently applied to, and tested using, regions with intense agricultural development, a pervasive modifier of the modern Earth surface (Ramankutty 1999;Hooke 2000;Donchyts et al 2016). Developed land use manipulate the abundance and characteristics of surface water features through construction, drainage, and infilling (Steele and Heffernan 2014;Steele et al 2014;Christensen et al 2016;Julian et al 2015;Van Meter and Basu 2015). These alterations can affect regional-scale surface water extent, but the direction and magnitude of change vary among regions.…”
mentioning
confidence: 99%
See 1 more Smart Citation
“…The area represented by the three Landsat footprints has both major agricultural production zones and dense population centers [ 6 , 7 ]. As a result, approximately 85% of the pre-European settlement wetlands and similar waters have been lost from the region to agricultural drainage and urban development [ 39 , 40 ]. The urban centers include the cities of Chicago (Illinois) and St. Louis (Missouri) in p23r31 and p24r33, respectively, as well as smaller urban centers in p23r32 (e.g., the Illinois cities of Peoria, Bloomington, Champaign, Decatur, and Springfield).…”
Section: Methodsmentioning
confidence: 99%
“…Known spatial variations in wetland storage capacities will also advance hydrological process understanding, further informing watershed management. For example, Euclidean distance has been used as a proxy for wetland‐stream connectivity (e.g., Christensen, Nash, Chaloud, & Pitchford, ; Cohen et al, ; Van Meter & Basu, ). However, this metric and ones similar to it do not always accurately represent downstream effects, particularly subsurface interactions (Ameli & Creed, ).…”
Section: A New Tool To Inform Landscape‐scale Wetland Conservation Anmentioning
confidence: 99%