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新西兰草原协会（New Zealand Grassland Association，NZGA）
grassland farming 新西兰草原协会 New Zealand Grassland Association NZGA
2018/6/27
The aim of the New Zealand Grassland Association (NZGA) is “to enhance pastoral agriculture” through providing a forum for communication of science, technology and knowledge.Formed in 1931, the NZGA f...
It is a great pleasure to announce that the Seventh Japan–China–Korea Grassland Conference will be held in Sapporo, Hokkaido, Japan on July 8 - 10, 2018. The first conference was held in Hiroshima, Ja...
One of the world’s longest-running, most comprehensive climate change experiments produced some surprising results. The extensive experiment subjected grassland ecosystems to sixteen possible future c...
The Organizing committee of 23rd International Grassland Congress, on behalf of the Range Management Society of India and the Indian Grassland & Fodder Research Institute, cordially invites you to par...
As an independent non-profit membership organization EGF actively links all associations, institutions and individuals interested in grassland issues from more than 30 European member countries and th...
Grassland Society of Southern Africa（GSSA）
Grassland Society of Southern Africa grass GSSA
2015/4/21
In recent years the GSSA has made major efforts to become more professional in its approach to managing and growing the Society. In the modern world, the Society is competing for members’ time and res...
The International Grassland Congress promotes interchange of information on all aspects of natural and cultivated grasslands and forage crops for the benefit of mankind, including sustained developmen...
The Ulster Grassland Society (UGS) is for those who have an interest in grassland production and utilisation. It brings together farmers, advisers, lecturers, researchers and technical members of the...
The British Grassland Society is a forum for those with an active interest in the science and practice of grass and forage production and utilisation.We bring together research workers, farmers, advis...
C4 abundance in an Inner Mongolia grassland system is driven by temperature–moisture interaction, not grazing pressure
C4 abundance Inner Mongolia grassland system temperature–moisture interaction not grazing pressure
2015/2/4
Global warming and CO2 rise is expected to change the balance of C3 and C4 plants in grassland vegetation, but disturbance,including grazing, could also affect C3/C4 community structure. We used a six...
Seasonally dependent impacts of grazing on soil nitrogen mineralization and linkages to ecosystem functioning in Inner Mongolia grassland
Typical steppe Grazing intensity Season Soil inorganic N pools Net N mineralization Soil temperature and moisture BiomassN content Nitrogen use efficiency
2015/2/4
Previous studies have suggested grazing may alter nitrogen (N) cycling of grasslands by accelerating or decelerating soil net N mineralization. The important mechanisms controlling these fluxes remain...
Plant responses following grazing removal at different stocking rates in an Inner Mongolia grassland ecosystem
Grazing removal Ecosystem stability. Compensatory effect Precipitation variation Grassland management Grassland restoration
2015/2/4
Grazing removal is widely used in grassland management. Plant responses following grazing removal at different organizational levels, however, are not well understood. We examined plant responses at d...
Changes in the abundance of C3/C4 species of Inner Mongolia grassland: evidence from isotopic composition of soil and vegetation
d13C carbon isotope discrimination crossover temperature geostatistics precipitation semivariogram soil organic carbon Suess effect wool
2015/2/4
Global warming, increasing CO2 concentration, and environmental disturbances affect grassland communities throughout the world. Here, we report on variations in the C3/C4 pattern of Inner Mongolian gr...
A comparison of two models with Landsat data for estimating above ground grassland biomass in Inner Mongolia, China
Grassland aboveground dry biomass Inner Mongolia Landsat ETM+ Artificial neural network (ANN) Multiple linear regression (MLR)
2015/2/4
Two models, artificial neural network (ANN) and multiple linear regression (MLR), were developed to estimate typical grassland aboveground dry biomass in Xilingol River Basin, Inner Mongolia, China. T...
Carbon isotope discrimination of C3 vegetation in Central Asian grassland as related to long-term and short-term precipitation patterns
Carbon isotope discrimination C3 vegetation Central Asian grassland short-term precipitation patterns
2015/2/4
The relationship between carbon isotope discrimination (13 1) of C3 vegetation and long-term (30 years) and short-term (growing period) precipitation was investigated. Different species of Stipa, a do...