2020UKnowledge (University of Kentucky)Open access

Impact on Grassland Biomass from Climate Warming and Drying

Suying Li, Yang Li

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Abstract

It is becoming increasingly urgent to assess the impact of climate change on grassland biomass due to the important role these grasslands play in animal production. The typical steppe in Xilinhot of Inner Mongolia is the most representative vegetation types in the temperate grasslands of the northern China. One means to determine climate change is using the Aridity index (AI, also referred to as the dry degree of climate in this article) that is based on both temperature and precipitation (Arora 2002; Bannayan et al.. 2010; Nastos et al. 2012). The objective of this paper was to indicate how the biomass of a grassland ecosystem was affected by AI when determined by integrating regional temperature and precipitation.

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What this paper is about

It is becoming increasingly urgent to assess the impact of climate change on grassland biomass due to the important role these grasslands play in animal production. The typical steppe in Xilinhot of Inner Mongolia is the most representative vegetation types in the temperate grasslands of the northern China. One means to determine climate change is using the Aridity index (AI, also referred to as the dry degree of climate in this article) that is based on both temperature and precipitation (Arora 2002; Bannayan et al.. 2010; Nastos et al. 2012). The objective of this paper was to indicate how the biomass of a grassland ecosystem was affected by AI when determined by integrating regional temperature and precipitation.

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Available abstract

It is becoming increasingly urgent to assess the impact of climate change on grassland biomass due to the important role these grasslands play in animal production. The typical steppe in Xilinhot of Inner Mongolia is the most representative vegetation types in the temperate grasslands of the northern China. One means to determine climate change is using the Aridity index (AI, also referred to as the dry degree of climate in this article) that is based on both temperature and precipitation (Arora 2002; Bannayan et al.. 2010; Nastos et al. 2012). The objective of this paper was to indicate how the biomass of a grassland ecosystem was affected by AI when determined by integrating regional temperature and precipitation.

Key concepts: Grassland, Environmental science, Biomass (ecology), Global warming, Climate change, Agroforestry, Climatology, Atmospheric sciences

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