Nexus of grazing management with plant and soil properties in northern China grasslands
| Autor: | Limin Luan, Li Wang, Kadambot H. M. Siddique, Fujiang Hou |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Statistics and Probability
Data Descriptor China Conservation of Natural Resources 010501 environmental sciences Library and Information Sciences 01 natural sciences Grassland Education Environmental impact Soil Grazing Animals Herbivory lcsh:Science 0105 earth and related environmental sciences Herbivore Biomass (ecology) geography geography.geographical_feature_category Agroforestry Species diversity Plant community Agriculture 04 agricultural and veterinary sciences Vegetation Plants Computer Science Applications Habitat Sustainability 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Environmental science lcsh:Q Statistics Probability and Uncertainty Agroecology Information Systems |
| Zdroj: | Scientific Data Scientific Data, Vol 7, Iss 1, Pp 1-12 (2020) |
| ISSN: | 2052-4463 1166-3340 |
| Popis: | Grasslands 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. Measurement(s)plant trait • structure of soil • composition of soil • soil biological activityTechnology Type(s)digital curationFactor Type(s)grazing intensity (grazing exclusion, light, moderate, and heavy grazing)Sample Characteristic - Environmentgrassland ecosystemSample Characteristic - LocationChina Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.11663340 |
| Databáze: | OpenAIRE |
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