Model for prioritizing best management practice implementation (Record no. 162485)
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fixed length control field | 03200nam a22003137a 4500 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | ZW-GwMSU |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20230601120347.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 230601b |||||||| |||| 00| 0 eng d |
040 ## - CATALOGING SOURCE | |
Original cataloging agency | MSU |
Transcribing agency | MSU |
Description conventions | rda |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | JANG, Taeil |
245 ## - TITLE STATEMENT | |
Title | Model for prioritizing best management practice implementation |
264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
Place of production, publication, distribution, manufacture | New York |
Name of producer, publisher, distributor, manufacturer | Springer |
Date of production, publication, distribution, manufacture, or copyright notice | 2013 |
336 ## - CONTENT TYPE | |
Source | rdacontent |
Content type term | text |
Content type code | txt |
337 ## - MEDIA TYPE | |
Source | rdamedia |
Media type term | unmediated |
Media type code | n |
338 ## - CARRIER TYPE | |
Source | rdacarrier |
Carrier type term | volume |
Carrier type code | nc |
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE | |
Title | Environmental Management |
Volume/sequential designation | Volume , number , |
520 ## - SUMMARY, ETC. | |
Summary, etc. | Understanding the best way to allocate limited resources is a constant challenge for water quality improvement efforts. The synoptic approach is a tool for geographic prioritization of these efforts. It uses a benefit-cost framework to calculate indices for functional criteria in subunits (watersheds, counties) of a region and then rank the subunits. The synoptic approach was specifically designed to incorporate best professional judgment in cases where information and resources are limited. To date, the synoptic approach has been applied primarily to local or regional wetland restoration prioritization projects. The goal of this work was to develop a synoptic model for prioritizing watersheds within which suites of agricultural best management practices (BMPs) can be implemented to reduce sediment load at the watershed outlets. The model ranks candidate watersheds within an ecoregion or river basin so that BMP implementation within the highest ranked watersheds will result in the most sediment load reduction per conservation dollar invested. The model can be applied anywhere and at many scales provided that the selected suite of BMPs is appropriate for the evaluation area’s biophysical and climatic conditions. The model was specifically developed as a tool for prioritizing BMP implementation efforts in ecoregions containing watersheds associated with the USDA-NRCS conservation effects assessment project (CEAP). This paper presents the testing of the model in the little river experimental watershed (LREW) which is located near Tifton, Georgia, USA and is the CEAP watershed representing the southeastern coastal plain. The application of the model to the LREW demonstrated that the model represents the physical drivers of erosion and sediment loading well. The application also showed that the model is quite responsive to social and economic drivers and is, therefore, best applied at a scale large enough to ensure differences in social and economic drivers across the candidate watersheds. The prioritization model will be used for planning purposes. Its results are visualized as maps which enable resource managers to identify watersheds within which BMP implementation would result in the most water quality improvement per conservation dollar invested. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | synoptic assessment |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | geographic prioritization |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | conceptual model |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | VELLIDIS, George |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | HYMAN, Jeffrey B |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | BROOKS, Erin |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | KURKALOVA, Lyubov A |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | BOLL, Jan |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | CHO, Jaepil |
856 ## - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://doi.org/10.1007/s00267-012-9977-4 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | Library of Congress Classification |
Koha item type | Journal Article |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Serial Enumeration / chronology | Total Checkouts | Full call number | Date last seen | Price effective from | Koha item type | Public note |
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Library of Congress Classification | Main Library | Main Library | - Special Collections | 01/06/2023 | Vol.51 , No.1 (Jan 2013) | GE300 ENV | 01/06/2023 | 01/06/2023 | Journal Article | For In House Use Only |