Abstract
AbstractGrasslands provide habitats for living organisms and livelihoods for ~800 million people globally. Many grasslands in developing countries are severely degraded. Some measures have been taken to curb the trend of degradation for decades. It is important to determine how decade-long rejuvenation efforts affected grassland ecosystems. We identified 65 data-rich studies based on six criteria, from >2500 relevant publications, and generated a dataset with 997 rows and 12 variables. The dataset covers different grazing intensities (grazing exclusion, light, moderate, and heavy grazing) and their impacts on plant traits (vegetation coverage, aboveground and root biomass, and plant diversity) and soil physiochemical properties (bulk density, moisture content, organic C, total and available N, total and available P, C:N ratio, and pH). The dataset could be used to (i) quantify the effectiveness of rejuvenation processes by determining the impact on plant community and soil properties, (ii) perform comprehensive analyses to elucidate large-picture effects of grazing management and rejuvenation, and (iii) analyze the impact of grass–climate–soil–human interactions on grassland ecosystem sustainability.
Funder
Gansu Agricultural University
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability
Reference81 articles.
1. Soussana, J. F. & Lüscher, A. Temperate grasslands and global atmospheric change: A review. Grass Forage Sci. 62, 127–134 (2007).
2. Galli, A. et al. Integrating ecological, carbon and water footprint into a “footprint family” of indicators: definition and role in tracking human pressure on the planet. Ecol. Indic. 16, 100–112 (2012).
3. Odriozola, I., García-Baquero, G., Laskurain, N. A. & Aldezabal, A. Livestock grazing modifies the effect of environmental factors on soil temperature and water content in a temperate grassland. Geoderma 235–236, 347–354 (2014).
4. Statistics Division of Food and Agriculture Organization of the United Nations (FAOSTAT). FAO Statistical Yearbooks - World food and agriculture. Food and Agriculture Organization of the (United Nations, 2015).
5. National Bureau of Statistics of Central Government of China. China Statistical Yearbook 2018. (China Academic Journals Electronic Publishing House, 2018).
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献