Seasonal Micrometeorological Changes over a Grassland in Inner Mongolia

Harazono, Yoshinobu; Li, Schenggong; Shen, Janyou; He, Zhongyin

doi:10.2480/agrmet.48.711

Cited by 4 publications

(3 citation statements)

References 4 publications

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Section: Mechanisms Of Grassland Degradationsupporting

confidence: 92%

“…The precipitation amounts showed only slightly decreasing trends, but some aspects of rainfall characteristics displayed great changes, such as the number of rainy days reduced, while light rain (< 10 mm day −1 ) increased. Similar results were obtained by Harazono et al (1993). Furthermore, Begzsuren et al (2004) investigated how drought and dzuds (severe winter weather) affect livestock mortality in a non-equilibrium steppe ecosystem of Mongolia.…”

Section: Natural or Anthropogenic Cause?supporting

confidence: 70%

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Grassland degradation in China: Methods of monitoring, management and restoration

2007

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Grasslands in China cover nearly 4 million km2, more than 40% of its total land area. Grasslands play an important role in livestock farming and environmental conservation. In spite of numerous efforts that have been undertaken to arrest land desertification in China, grassland degradation is advancing over wide areas through overgrazing, cropland misuse and unregulated collection of fuel and medical plants. This review presents specific examination of the present situation of grassland desertification in China, and discusses mechanisms of grassland degradation. Assessments of desertification since the 1980s are introduced, and its expanse and extent are discussed. Many scientists admit that both are causes, but two contradicting arguments surround the main cause of desertification, with one citing natural origins such as climate change, and the other pointing to anthropogenic factors such as overgrazing. Trials for clarifying mechanisms of grassland degradation are attempted from the perspective of water and energy dynamics. In addition, causes and measures of moving sand dunes and sandstorms are also discussed. For elucidation of the mechanisms of grassland degradation, the grassland ecosystem functions must be considered. Among the proposals, a mathematical approach and measurement of spectral reflectance are some new methods that are effective for assessing those functions. Measurements of soil respiration under altered grazing intensities are also useful to examine prospects in the event of global climate change. Several technologies for grassland diagnosis have been developed to arrest grassland deterioration. Indicator plant species have been determined according to grassland types. Relations of grazing pressure and species distribution have been quantified. Several measures for restoration of degraded grasslands are proposed as the next step of development in this field, including agro‐ecological measures. A promising tool for grassland monitoring is the use of remote sensing in conjunction with geographic information systems. Accurate and real‐time monitoring and management of grasslands have become increasingly feasible through sensor improvement in satellite and geographic information systems generalization in recent years.

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Section: Mechanisms Of Grassland Degradationsupporting

confidence: 92%

Section: Natural or Anthropogenic Cause?supporting

confidence: 70%

Grassland degradation in China: Methods of monitoring, management and restoration

2007

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“…The degeneration of grassland has long been one of the key research areas in China (Ren et al, 1978;Harazono et al, 1993;Yang, 1994;Wang, 2004). Nan (2005) reported that about 90% of the total usable grassland in China has been degraded to various extents.…”

Section: Discussionmentioning

confidence: 99%

Impact intensities of climatic changes on grassland ecosystems in headwater areas

Feng

Qin²,

Ren³

et al. 2012

Afr. J. Biotechnol.

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Rainfall and temperature are the direct driving factors that affect grassland ecosystem evolution. The study constructed the assessment model of the driving factors, temperature and rainfall, that exerted influence on the primary productivities of the grassland ecosystems in headwater areas, and used the model to quantitatively analyze the primary productivity variations of the grassland ecosystems in the headwater areas with the temperature and rainfall from those in the baseline year on the basis of the nearly forty year climatic data collected by the meteorological stations of Qumalai County, Maduo County, Yushu County and Nangqian County. The results show that over the forty-one years between 1962 and 2002, the rainfall among the climate dominated natural factors was the critical factor that caused the primary productivities of the grassland ecosystems to vary in the headwater areas. Moreover, the temperature was the limiting factor of the primary productivities of the grassland ecosystems in the headwater areas, which gently affect the primary productivities of grassland ecosystems in the headwater areas.

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