FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2021531605> ?p ?o ?g. }

• W2021531605 endingPage "55" @default.
• W2021531605 startingPage "44" @default.
• W2021531605 abstract "Yield gap analysis, which evaluates magnitude and variability of difference between crop yield potential (Yp) or water limited yield potential (Yw) and actual farm yields, provides a measure of untapped food production capacity. Reliable location-specific estimates of yield gaps, either derived from research plots or simulation models, are available only for a limited number of locations and crops due to cost and time required for field studies or for obtaining data on long-term weather, crop rotations and management practices, and soil properties. Given these constraints, we compare global agro-climatic zonation schemes for suitability to up-scale location-specific estimates of Yp and Yw, which are the basis for estimating yield gaps at regional, national, and global scales. Six global climate zonation schemes were evaluated for climatic homogeneity within delineated climate zones (CZs) and coverage of crop area. An efficient CZ scheme should strike an effective balance between zone size and number of zones required to cover a large portion of harvested area of major food crops. Climate heterogeneity was very large in CZ schemes with less than 100 zones. Of the other four schemes, the Global Yield Gap Atlas Extrapolation Domain (GYGA-ED) approach, based on a matrix of three categorical variables (growing degree days, aridity index, temperature seasonality) to delineate CZs for harvested area of all major food crops, achieved reasonable balance between number of CZs to cover 80% of global crop area and climate homogeneity within zones. While CZ schemes derived from two climate-related categorical variables require a similar number of zones to cover 80% of crop area, within-zone heterogeneity is substantially greater than for the GYGA-ED for most weather variables that are sensitive drivers of crop production. Some CZ schemes are crop-specific, which limits utility for up-scaling location-specific evaluation of yield gaps in regions with crop rotations rather than single crop species." @default.
• W2021531605 created "2016-06-24" @default.
• W2021531605 creator A5005128316 @default.
• W2021531605 creator A5013271290 @default.
• W2021531605 creator A5019933772 @default.
• W2021531605 creator A5022261867 @default.
• W2021531605 creator A5031345619 @default.
• W2021531605 creator A5035854414 @default.
• W2021531605 creator A5047340630 @default.
• W2021531605 creator A5049241520 @default.
• W2021531605 creator A5051973791 @default.
• W2021531605 creator A5071844066 @default.
• W2021531605 creator A5073416452 @default.
• W2021531605 creator A5082336078 @default.
• W2021531605 date "2013-03-01" @default.
• W2021531605 modified "2023-10-16" @default.
• W2021531605 title "Use of agro-climatic zones to upscale simulated crop yield potential" @default.
• W2021531605 cites W1678362189 @default.
• W2021531605 cites W1885078460 @default.
• W2021531605 cites W1967777466 @default.
• W2021531605 cites W1982627164 @default.
• W2021531605 cites W1985668700 @default.
• W2021531605 cites W1985949400 @default.
• W2021531605 cites W1998193200 @default.
• W2021531605 cites W2011435649 @default.
• W2021531605 cites W2013002343 @default.
• W2021531605 cites W2046603958 @default.
• W2021531605 cites W2069543434 @default.
• W2021531605 cites W2085229279 @default.
• W2021531605 cites W2088479508 @default.
• W2021531605 cites W2094396935 @default.
• W2021531605 cites W2097428353 @default.
• W2021531605 cites W2107620525 @default.
• W2021531605 cites W2111027908 @default.
• W2021531605 cites W2112776483 @default.
• W2021531605 cites W2118182941 @default.
• W2021531605 cites W2122266551 @default.
• W2021531605 cites W2126192700 @default.
• W2021531605 cites W2126902408 @default.
• W2021531605 cites W2127170577 @default.
• W2021531605 cites W2128178681 @default.
• W2021531605 cites W2142231247 @default.
• W2021531605 cites W2143395434 @default.
• W2021531605 cites W2144093935 @default.
• W2021531605 cites W2146833082 @default.
• W2021531605 cites W2148333466 @default.
• W2021531605 cites W2148851307 @default.
• W2021531605 cites W2153820558 @default.
• W2021531605 cites W2159292710 @default.
• W2021531605 cites W2162147170 @default.
• W2021531605 cites W2167422772 @default.
• W2021531605 cites W2168145101 @default.
• W2021531605 cites W2182526330 @default.
• W2021531605 cites W4233587986 @default.
• W2021531605 doi "https://doi.org/10.1016/j.fcr.2012.11.023" @default.
• W2021531605 hasPublicationYear "2013" @default.
• W2021531605 type Work @default.
• W2021531605 sameAs 2021531605 @default.
• W2021531605 citedByCount "227" @default.
• W2021531605 countsByYear W20215316052013 @default.
• W2021531605 countsByYear W20215316052014 @default.
• W2021531605 countsByYear W20215316052015 @default.
• W2021531605 countsByYear W20215316052016 @default.
• W2021531605 countsByYear W20215316052017 @default.
• W2021531605 countsByYear W20215316052018 @default.
• W2021531605 countsByYear W20215316052019 @default.
• W2021531605 countsByYear W20215316052020 @default.
• W2021531605 countsByYear W20215316052021 @default.
• W2021531605 countsByYear W20215316052022 @default.
• W2021531605 countsByYear W20215316052023 @default.
• W2021531605 crossrefType "journal-article" @default.
• W2021531605 hasAuthorship W2021531605A5005128316 @default.
• W2021531605 hasAuthorship W2021531605A5013271290 @default.
• W2021531605 hasAuthorship W2021531605A5019933772 @default.
• W2021531605 hasAuthorship W2021531605A5022261867 @default.
• W2021531605 hasAuthorship W2021531605A5031345619 @default.
• W2021531605 hasAuthorship W2021531605A5035854414 @default.
• W2021531605 hasAuthorship W2021531605A5047340630 @default.
• W2021531605 hasAuthorship W2021531605A5049241520 @default.
• W2021531605 hasAuthorship W2021531605A5051973791 @default.
• W2021531605 hasAuthorship W2021531605A5071844066 @default.
• W2021531605 hasAuthorship W2021531605A5073416452 @default.
• W2021531605 hasAuthorship W2021531605A5082336078 @default.
• W2021531605 hasBestOaLocation W20215316051 @default.
• W2021531605 hasConcept C100970517 @default.
• W2021531605 hasConcept C105795698 @default.
• W2021531605 hasConcept C126343540 @default.
• W2021531605 hasConcept C127413603 @default.
• W2021531605 hasConcept C132651083 @default.
• W2021531605 hasConcept C134121241 @default.
• W2021531605 hasConcept C137580998 @default.
• W2021531605 hasConcept C142259097 @default.
• W2021531605 hasConcept C150772632 @default.
• W2021531605 hasConcept C187320778 @default.
• W2021531605 hasConcept C18903297 @default.
• W2021531605 hasConcept C191897082 @default.
• W2021531605 hasConcept C192562407 @default.
• W2021531605 hasConcept C205649164 @default.

• next