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1.
Science ; 351(6272): 457, 2016 Jan 29.
Artigo em Inglês | MEDLINE | ID: mdl-26823419

RESUMO

Tredennick et al. criticize one of our statistical analyses and emphasize the low explanatory power of models relating productivity to diversity. These criticisms do not detract from our key findings, including evidence consistent with the unimodal constraint relationship predicted by the humped-back model and evidence of scale sensitivities in the form and strength of the relationship.


Assuntos
Biodiversidade , Pradaria , Desenvolvimento Vegetal
2.
PLoS One ; 7(9): e45552, 2012.
Artigo em Inglês | MEDLINE | ID: mdl-23029090

RESUMO

We tested whether the abundance of C(4) vegetation in grasslands of the Mongolian plateau is influenced by grazing conditions. The analysis exploited the politically originated contrast that exists between Mongolia (low stocking rate, transhumant system) and the district of Inner Mongolia, China (high stocking rate, sedentary system). We estimated the proportion of C(4) carbon (P(C4)) in grazed vegetation from the relative carbon isotope ratio (δ(13)C) of sheep wool sampled from 298 annual shearings originating from 1996 to 2007. Annual stocking rates varying over time and between the districts of both countries were taken from regional statistics. The P(C4) pattern within the 0.7 million km(2) sampling area was geostatistically analyzed and related to stocking rates and temperature gradients. For similar climatic conditions, P(C4) was the same in both countries. Further, a unique relationship was found between P(C4) and July temperature on both sides of the border, which explained 71% of the pattern. Stocking rate and grazing system had no significant influences on present-day C(3)/C(4) abundance ratio. This finding suggests that recent changes in the C(3)/C(4) ratio of these grasslands are mainly a consequence of regional warming, not overgrazing.


Assuntos
Isótopos de Carbono/química , Herbivoria , Ovinos , Lã/química , Animais , Biomassa , China , Meio Ambiente , Mongólia , Densidade Demográfica , Temperatura
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