FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W1999462743> ?p ?o ?g. }

• W1999462743 endingPage "365" @default.
• W1999462743 startingPage "354" @default.
• W1999462743 abstract "Mountainous ecosystems are considered highly sensitive and vulnerable to natural disasters and climatic changes. Therefore, quantifying the effects of elevation on grassland productivity to understand ecosystem-climate interactions is vital for mountainous ecosystems. Water-use efficiency (WUE) provides a useful index for understanding the metabolism of terrestrial ecosystems as well as for evaluating the degradation of grasslands. This paper explored net primary productivity (NPP) and WUE in grasslands along an elevational gradient ranging from 400 to 3,400 m asl in the northern Tianshan Mountains-southern Junggar Basin (TMJB), Xinjiang of China, using the Biome-BGC model. The results showed that: 1) the NPP increased by 0.05 g C/(m2·a) with every increase of 1-m elevation, reached the maximum at the mid-high elevation (1,600 m asl), and then decreased by 0.06 g C/(m2·a) per 1-m increase in elevation; 2) the grassland NPP was positively correlated with temperature in alpine meadow (AM, 2,700–3,500 m asl), mid-mountain forest meadow (MMFM, 1,650–2,700 m asl) and low-mountain dry grassland (LMDG, 650–1,650 m asl), while positive correlations were found between NPP and annual precipitation in plain desert grassland (PDG, lower than 650 m asl); 3) an increase (from 0.08 to 1.09 g C/(m2·a)) in mean NPP for the grassland in TMJB under a real climate change scenario was observed from 1959 to 2009; and 4) remarkable differences in WUE were found among different elevations. In general, WUE increased with decreasing elevation, because water availability is lower at lower elevations; however, at elevations lower than 540 m asl, we did observe a decreasing trend of WUE with decreasing elevation, which may be due to the sharp changes in canopy cover over this gradient. Our research suggests that the NPP simulated by Biome-BGC is consistent with field data, and the modeling provides an opportunity to further evaluate interactions between environmental factors and ecosystem productivity." @default.
• W1999462743 created "2016-06-24" @default.
• W1999462743 creator A5036077771 @default.
• W1999462743 creator A5055794991 @default.
• W1999462743 creator A5065087972 @default.
• W1999462743 creator A5068814796 @default.
• W1999462743 creator A5078727362 @default.
• W1999462743 date "2013-07-09" @default.
• W1999462743 modified "2023-10-07" @default.
• W1999462743 title "Modeling grassland net primary productivity and water-use efficiency along an elevational gradient of the Northern Tianshan Mountains" @default.
• W1999462743 cites W1533168639 @default.
• W1999462743 cites W1964346468 @default.
• W1999462743 cites W1968297728 @default.
• W1999462743 cites W1976098301 @default.
• W1999462743 cites W1977668764 @default.
• W1999462743 cites W1978192036 @default.
• W1999462743 cites W1978815659 @default.
• W1999462743 cites W1980964802 @default.
• W1999462743 cites W1983853266 @default.
• W1999462743 cites W1998702201 @default.
• W1999462743 cites W2001122793 @default.
• W1999462743 cites W2004591521 @default.
• W1999462743 cites W2008529306 @default.
• W1999462743 cites W2010297094 @default.
• W1999462743 cites W2010784770 @default.
• W1999462743 cites W2010951708 @default.
• W1999462743 cites W2018510764 @default.
• W1999462743 cites W2019147722 @default.
• W1999462743 cites W2019251153 @default.
• W1999462743 cites W2019619837 @default.
• W1999462743 cites W2024931795 @default.
• W1999462743 cites W2029618281 @default.
• W1999462743 cites W2034672914 @default.
• W1999462743 cites W2044707479 @default.
• W1999462743 cites W2045473451 @default.
• W1999462743 cites W2046857879 @default.
• W1999462743 cites W2048382588 @default.
• W1999462743 cites W2048400783 @default.
• W1999462743 cites W2048993122 @default.
• W1999462743 cites W2056946036 @default.
• W1999462743 cites W2061698718 @default.
• W1999462743 cites W2066964621 @default.
• W1999462743 cites W2073245924 @default.
• W1999462743 cites W2078939134 @default.
• W1999462743 cites W2079601407 @default.
• W1999462743 cites W2081192483 @default.
• W1999462743 cites W2084425820 @default.
• W1999462743 cites W2086730300 @default.
• W1999462743 cites W2088115382 @default.
• W1999462743 cites W2090356312 @default.
• W1999462743 cites W2108349331 @default.
• W1999462743 cites W2109579584 @default.
• W1999462743 cites W2110588131 @default.
• W1999462743 cites W2117325793 @default.
• W1999462743 cites W2117329279 @default.
• W1999462743 cites W2131794483 @default.
• W1999462743 cites W2141849518 @default.
• W1999462743 cites W2161001089 @default.
• W1999462743 cites W2163143186 @default.
• W1999462743 cites W2170966192 @default.
• W1999462743 cites W2317458608 @default.
• W1999462743 cites W2471412513 @default.
• W1999462743 cites W2487052941 @default.
• W1999462743 cites W4213330036 @default.
• W1999462743 cites W87922428 @default.
• W1999462743 doi "https://doi.org/10.1007/s40333-013-0182-y" @default.
• W1999462743 hasPublicationYear "2013" @default.
• W1999462743 type Work @default.
• W1999462743 sameAs 1999462743 @default.
• W1999462743 citedByCount "19" @default.
• W1999462743 countsByYear W19994627432014 @default.
• W1999462743 countsByYear W19994627432016 @default.
• W1999462743 countsByYear W19994627432017 @default.
• W1999462743 countsByYear W19994627432018 @default.
• W1999462743 countsByYear W19994627432019 @default.
• W1999462743 countsByYear W19994627432020 @default.
• W1999462743 countsByYear W19994627432021 @default.
• W1999462743 countsByYear W19994627432022 @default.
• W1999462743 countsByYear W19994627432023 @default.
• W1999462743 crossrefType "journal-article" @default.
• W1999462743 hasAuthorship W1999462743A5036077771 @default.
• W1999462743 hasAuthorship W1999462743A5055794991 @default.
• W1999462743 hasAuthorship W1999462743A5065087972 @default.
• W1999462743 hasAuthorship W1999462743A5068814796 @default.
• W1999462743 hasAuthorship W1999462743A5078727362 @default.
• W1999462743 hasBestOaLocation W19994627432 @default.
• W1999462743 hasConcept C100970517 @default.
• W1999462743 hasConcept C107054158 @default.
• W1999462743 hasConcept C110872660 @default.
• W1999462743 hasConcept C132651083 @default.
• W1999462743 hasConcept C139719470 @default.
• W1999462743 hasConcept C153294291 @default.
• W1999462743 hasConcept C162324750 @default.
• W1999462743 hasConcept C18903297 @default.
• W1999462743 hasConcept C204983608 @default.
• W1999462743 hasConcept C205649164 @default.
• W1999462743 hasConcept C24717449 @default.
• W1999462743 hasConcept C2775835988 @default.

• next