DOI: 10.6084/m9.figshare.21205556
title: Shrub characteristics & herb and soil properties.csv

description: Using space for time substitution, we established a paired livestock exclusion-free grazing (control) system to evaluate the effects of livestock exclusion on shrubs at Haibei Research Station. Exclosure manipulation experiments were conducted in 1997, 2003, and 2011. Small mammals cannot be eliminated using these fences. There were two 9-year exclosures, six 17-year exclosures, and one 23-year exclosure, all 30 m×30 m in size. The exclosures were adjacent to an open pasture. Control plots were delineated temporarily near the exclosures by outlining the boundary with plastic wires and wood posts in the open pasture. There were four, four, and one control plots for the 9-, 17- and 23-year exclosures, respectively. Notably, the topography, vegetation, and soil types were similar between the exclosures and corresponding plots before fencing. From August to September 2020, we conducted the sampling and investigation. In each plot, we chose five <em>P. fruticosa</em> shrub patches according to the canopy area frequency distribution of shrub patches (from the investigation of shrub) and randomly chose five herb patches as far away from the shrub patches as possible in the grassy matrix. One quadrat of 50 cm×50 cm was set in each shrub and herb patch. We harvested all aboveground biomass (AGB) at ground level from the quadrats. Live aboveground biomass was divided into four functional groups (grass, sedge, legume, and non-legume forb), and dead aboveground biomass was separated into standing and soil surface litter. The classified biomass was dried in an oven to a constant weight at 65 °C and weighed. Soil was sampled at the above-mentioned chosen five shrub patches and five herb patches in each plot. For each patch, we used soil bulk density drilling (with a cutting ring volume of 100 cm3) to extract 100 cm3 soil at 0–10, 10–20, 20–30, 30–50, 50–70, and 70–100 cm. The soil samples were rapidly brought back to the laboratory and weighed. After oven-drying at 105 °C to a constant weight, soil samples were weighed again. Soil water content was calculated as the percentage of water weight in the fresh soil. At each shrub and herb patch, we also randomly selected 3–7 sampling points and collected samples at 0–5, 5–10, 10–20, 20–30, 30–50, 50–70, and 70–100 cm using a soil auger of 5 cm diameter and completely mixed soils from the same depth. Soil samples were air-dried indoors immediately after returning to the laboratory and sieved to pass a 2 mm screen with debris eliminated. After sieving, the roots were carefully removed using tweezers. Soil-water mixtures at a 1:5 ratio (w:v) were prepared to determine pH using a pH meter. Representative sub-samples were passed through a 0.25 mm sieve for soil element measurements. Soil total carbon (STC) and total nitrogen (TN) contents were measured using an elemental analyzer (Vario EL cube; Elementar, Langenselbold, Germany) at the College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China. The soil inorganic carbon (SIC) and total phosphorus (TP) contents were determined using a SKALAR carbon element analyzer (2SN100903#; Skalar Analytical B.V., Breda, The Netherlands) and an automated discrete analyzer (Smarchem450; AMS, Italy), respectively, at the State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University. Soil organic carbon (SOC) content was calculated as the difference between the STC and SIC content. The shrub investigation included two parts: shrub patch investigation and shrub investigation of herb patches. For <em>P. fruticosa</em> shrub patches, it is difficult to count individuals, as <em>P. fruticosa</em> mainly carries out vegetative propagation by creeping stems belowground. We measured each <em>P. fruticosa</em> patch’s (1) canopy longest axis 2<em>a</em> and perpendicular 2<em>b</em>, which we used for the ellipse area formula (<em>πab</em>) as the patch canopy area (shrub patch is regarded as an ellipse); (2) largest height; (3) number of branches from previous years; and (4) number of twigs, which are young hairy red brown stems coming out in the current year. For reproductive output, we counted the number of ovaries surrounded by the calyx for each patch, selected 20–30 of the ovaries in each plot to measure the internal achene (containing one seed) number, and acquired the patch’s seed number by multiplying its ovary number by the corresponding average number of achenes in the ovary. We also estimated the number of seedlings under the patch-projected area. For the larger patches that had especially high numbers of branches, twigs, seeds, or seedlings, we selected a representative part to measure and multiplied by an estimated multiple. <em>Potentilla fruticosa</em> patches close to each other in the 23-year exclosure were separated by the height and color of the patches. For <em>P. fruticosa</em> shrubs in the herb patch, we investigated in the 50 cm×50 cm quadrats set in section 2.2.1. The shrub properties were measured in a similar manner to the shrub patch. The aboveground biomass of <em>P. fruticosa</em> was nondestructively estimated by the following estimation formula (Liang et al. 2013): <em>AB</em>=113.02<em>P</em><sup>2</sup><em>H</em>+29.77 where <em>AB</em>, <em>P</em>, and<em> H</em> are the aboveground biomass (g), canopy perimeter (m), and height (m), respectively, of the shrub patch. The perimeter of an ellipse cannot be estimated accurately; however, there are approximation formulas, of which one of the Ramanujan formulas is famous for its briefness: P≈π[3(a+b)- √ [(3a+b)(a+3b)]] We obtained climatic data from the meteorological station installed in 1980 at the Haibei Research Station. <br>