Natural Grassland Ecosystems Research Articles

Anthropogenic shrub encroachment has accelerated the degradation of desert steppe soil over the past four decades

Anthropogenic and natural shrub encroachment have similar ecological consequences on native grassland ecosystems. In fact, there is an accelerating trend toward anthropogenic shrub encroachment, as opposed to the century-long process of natural shrub encroachment. However, the soil quality during the transition of anthropogenic shrub encroachment into grasslands remains insufficiently understood. Here, we used a soil quality assessment method that utilized three datasets and two scoring methods to evaluate changes in soil quality during the anthropogenic transition from temperate desert grassland to shrubland. Our findings demonstrated that the soil quality index decreased with increasing shrub cover, from 0.49 in the desert grassland to 0.31 in the shrubland. Our final results revealed a gradual and significant decline of 36.73 % in soil quality during the transition from desert grassland to shrubland. Reduced soil moisture levels, nutrient availability, and microbial activity characterized this decline. Nearly four decades of anthropogenic shrub encroachment have exacerbated soil drought conditions while leading to a decrease in perennial herbaceous plants and an increase in bare ground cover; these factors can explain the observed decline in soil quality. These findings emphasize the importance of considering soil moisture availability and potential thresholds when implementing revegetation strategies in arid and semiarid regions.

Suppressing the invasive common milkweed (Asclepias syriaca L.) saves soil moisture reserves

Common milkweed (Asclepias syriaca L.) is a widespread invasive alien forb in dry sandy habitats of Central Europe. It adversely affects native plant and animal communities, but its ecosystem-level effects, particularly on hydrology, are little known. Since milkweed has an extensive, deep root system and large, broad leaves, we assumed a negative effect on the soil moisture content of the hosting ecosystem. Following the before-after control-impact protocol, we first compared the soil moisture content of the top 120 cm of the soil under seven milkweed stands to that of non-invaded reference sites. We then treated half of the stands by mechanically removing all aboveground milkweed biomass and repeated the comparative soil moisture measurements. We found that milkweed stands had significantly drier soils than reference grasslands during the growing season, but the soil under milkweed stands recharged to the level of the references in autumn and winter. However, the amount of moisture needed for this recharge was lost from deeper percolation to groundwater. Milkweed treatment prevented the depletion of moisture during the growing season, saving 21.6 l m−2 of water on average. Treatment did not affect non-milkweed plant biomass, thus, moisture patterns could fully be attributed to the milkweed stands. Our results reinforce the importance of milkweed suppression in invaded grasslands, as, besides enabling the recovery of the native grassland ecosystem, it promotes groundwater recharge, which is particularly important in the dry regions of Central Europe, currently facing severe aridification due to climate change and unfavourable land use trends.

Soil fauna diversity is enhanced by vegetation complexity and no-till planting in regenerative agroecosystems

Agricultural ecosystems are driven by the need to increase yield, due to increased food demands. Conventional, intensive practices are not sustainable as they disrupt the biodiversity in the soil which performs a range of ecosystem functions that sustain soil productivity and resilience. Conservation agriculture and crop-livestock integrated agriculture have been promoted as some of the most sustainable and biodiversity-conserving forms of agriculture. This study assesses how soil macro-and mesofauna in staple crops respond to different agricultural land uses, including conventional, integrated and conservation agriculture, and lastly, natural grassland ecosystems which were used as reference sites. We compared species richness, composition, and functional structure of soil fauna among the land uses and assessed environmental drivers of these patterns. Soil macro-and mesofauna species richness was generally lower in conventional management compared to other management practices, for overall arthropods and for the separate taxonomic groups, beetles, earthworms, spiders, and springtails. Different functional guilds varied in their responses to the farming systems. Vegetation cover and plant litter cover are the variables which benefited most fauna diversity. The practices of no-till plantings coupled with diversified crop rotations and cover crop mixtures under conservation and integrated agricultural management enhances the diversity of earthworms, collembola, beetles, and spiders. Low-disturbance soil management, crop diversification and within-crop habitat complexity preserves arthropod soil fauna diversity in staple crops.

Estimating high-density aboveground biomass within a complex tropical grassland using Worldview-3 imagery

A large percentage of native grassland ecosystems have been severely degraded as a result of urbanization and intensive commercial agriculture. Extensive nitrogen-based fertilization regimes are widely used to rehabilitate and boost productivity in these grasslands. As a result, modern management frameworks rely heavily on detailed and accurate information on vegetation condition to monitor the success of these interventions. However, in high-density environments, biomass signal saturation has hampered detailed monitoring of rangeland condition. This issue stems from traditional broad-band vegetation indices (such as NDVI) responding to high levels of photosynthetically active radiation (PAR) absorption by leaf chlorophyll, which affects leaf area index (LAI) sensitivity within densely vegetative regions. Whilst alternate hyperspectral solutions may alleviate the problem to a certain degree, they are often too costly and not readily available within developing regions. To this end, this study evaluated the use of high-resolution Worldview-3 imagery in combination with modified NDVI indices and image manipulation techniques in reducing the effects of biomass signal saturation within a complex tropical grassland. Using the random forest algorithm, several modified NDVI-type indices were developed from all potential dual-band combinations of the Worldview-3 image. Thereafter, linear contrast stretching and histogram equalization were implemented in conjunction with Singular Value Decomposition (SVD) to improve high-density biomass estimation. Results demonstrated that both contrast enhancement techniques, when combined with SVD, improved high-density biomass estimation. However, linear contrast stretching, SVD, and modified NDVI indices developed from the red (630–690 nm), green (510–580 nm), and near-infrared 1 (770–895 nm) bands were found to produce the best biomass predictive model (R2 = 0.71, RMSE = 0.40 kg/m2). The results generated from this research offer a means to alleviate the biomass saturation problem. This framework provides a platform to assist rangeland managers in regionally assessing changes in vegetation condition within high-density grasslands.

Carbon cycle of native pasture-based beef cattle production systems in the Pantanal area of the Paraguayan Chaco

The objective of the present study was evaluate the carbon cycle in Paraguayan Pantanal area native grassland ecosystems by measuring pasture growth and simulating animal grazing. For this purpose, soil analyzes, annual productivity and forage quality were carried out in 4 agro ecological sites of a 20,000 ha located in Alto Paraguay Department (21º 1' 29.85”S and 58º 17' 38.55” W), from Dec 21, 2019 to Feb 12, 2020. In the selected location was installed an 8 m x 8 m exclusion cage with three treatments (4 m2 subplots), corresponding to cutting intervals (35, 70 and 105 CI days, respectively). The seasonal dry matter (DM) production and the pasture growth rate, adjusted stocking rate at three production levels (50, 70 and 75% breeding rate, respectively), carbon contained in organic matter (OM), root system and aerial biomass accumulated in ground were evaluated. The data were compared using Tukey test with a 5% probability. The emission of greenhouse gases (GG) per head and per ha was simulated and adjusted to breeding livestock to a total area of 6,600 ha and 5,000 grassland ha. The 35 days CI presented 32% higher productivity than 105 days CI in carbon sequestration. The best capture/emission balance per ha was observed in 35 days CI with the 50% breeding rate, producing 1,481 kg of CO2-e ha-1, intensifying and increasing the breeding rate to 75%, the balance decreases to 1,294 kg of CO2-e ha-1. In all cases, livestock in grassland has presented a positive balance when accounting for GG per unit area.

Temporal and spatial characteristics of grassland ecosystem service value and its topographic gradient effect in the Yellow River Basin.

Grassland is the largest terrestrial ecosystem in the Yellow River Basin and an important ecological barrier in the basin. Scientific and accurate estimation of the service value of grassland ecosystems in the Yellow River Basin is of great significance for maintaining the ecological security of the Yellow River Basin. This study was based on Constanza, a method based on the correction of natural grassland ecosystem service value in the Yellow River Basin. This method considers grassland biomass, estimates the ecological service value of each type of grassland item by item, and analyzes their spatial distribution and topographic gradient differentiation characteristics. The results showed that the unit price of soil conservation services provided by the grassland ecosystem in the Yellow River Basin has an advantage (6.2 times) which is the lowest unit price of raw materials. The total value of grassland ecosystem services in the Yellow River Basin is 100.82 × 1010 Yuan. Among the various services, the adjustment service has the largest value, accounting for 50.56% of the total value, while the sum of the supply service, support service and cultural service amounted to 49.44%. The high-value areas of grassland ecosystem services are mainly distributed in the upper and lower reaches of the basin, as the low-value areas are located in the Ningxia and Hetao Plains and most parts of the Loess Plateau. The ESV per unit area of grassland in the Yellow River Basin showed a decreasing to increasing trend with the increase in elevation and topographic relief, as the ESV continued to increase with slope increase.

Responses of carbon dynamics to grazing exclusion in natural alpine grassland ecosystems on the QingZang Plateau.

In the context of "Carbon Emissions Peak" and "Carbon Neutrality", grazing exclusion (GE) has been applied widely to rehabilitate degraded grasslands and increase carbon sequestration. However, on the QingZang Plateau (QZP), the impacts of GE on the carbon dynamics of alpine grasslands are poorly understood, particularly at a regional scale. To fill this knowledge gap, we evaluated the responses of carbon sequestration to GE in different alpine grasslands across QZP by using meta-analysis. The effects of GE on ecosystem carbon fractions were dependent on GE duration, grassland types and climate factors. Specifically, our results indicated that GE had more obviously positive effects on carbon stock across the alpine meadow than the alpine steppe. However, when considering different GE duration, the longer duration of GE was more effective for increasing ecosystem carbon sequestration (R 2 = 0.52, P<0.0001) in the alpine steppe. Our results further demonstrated that annual mean precipitation (AMP) and temperature (AMT) began to dominate ecosystem carbon sequestration after three years of GE duration across the alpine meadow; and AMP was an important climate factor limiting ecosystem carbon sequestration (R 2 = 0.34, P<0.01) in the alpine steppe. In terms of plant carbon fraction, GE generated continuous positive effect (P<0.05) on aboveground biomass with the increased GE duration in the alpine meadow, while this positive effect disappeared after the 8th year of GE duration. And no positive effects were found on belowground biomass in the 11th year in alpine steppe. For soil organic carbon (SOC), there existed periodic fluctuations (increased and then decreased) on SOC in response to GE. For microbial biomass carbon, there were no obvious trends in response to GE duration. In general, we highlighted that the responses of different carbon fractions (plant-soil-microbe) to GE were non-uniform at spatial and temporal scales, thereby we should adopt different carbon management practices for sustainable development of different grasslands.

Estimating Community-Level Plant Functional Traits in a Species-Rich Alpine Meadow Using UAV Image Spectroscopy

Plant functional traits at the community level (plant community traits hereafter) are commonly used in trait-based ecology for the study of vegetation–environment relationships. Previous studies have shown that a variety of plant functional traits at the species or community level can be successfully retrieved by airborne or spaceborne imaging spectrometer in homogeneous, species-poor ecosystems. However, findings from these studies may not apply to heterogeneous, species-rich ecosystems. Here, we aim to determine whether unmanned aerial vehicle (UAV)-based hyperspectral imaging could adequately estimate plant community traits in a species-rich alpine meadow ecosystem on the Qinghai–Tibet Plateau. To achieve this, we compared the performance of four non-parametric regression models, i.e., partial least square regression (PLSR), the generic algorithm integrated with the PLSR (GA-PLSR), random forest (RF) and extreme gradient boosting (XGBoost) for the retrieval of 10 plant community traits using visible and near-infrared (450–950 nm) UAV hyperspectral imaging. Our results show that chlorophyll a, chlorophyll b, carotenoid content, starch content, specific leaf area and leaf thickness were estimated with good accuracies, with the highest R2 values between 0.64 (nRMSE = 0.16) and 0.83 (nRMSE = 0.11). Meanwhile, the estimation accuracies for nitrogen content, phosphorus content, plant height and leaf dry matter content were relatively low, with the highest R2 varying from 0.3 (nRMSE = 0.24) to 0.54 (nRMSE = 0.20). Among the four tested algorithms, the GA-PLSR produced the highest accuracy, followed by PLSR and XGBoost, and RF showed the poorest performance. Overall, our study demonstrates that UAV-based visible and near-infrared hyperspectral imaging has the potential to accurately estimate multiple plant community traits for the natural grassland ecosystem at a fine scale.

Physiological adaptability of three gramineae plants under various vegetation restoration models in mining area of Qinghai-Tibet Plateau

Large-scale coal mining activities on the QTP have affected the natural grassland ecosystem which will take decades to recover. Therefore, looking for an effective vegetation restoration method is the most effective way to restore the ecosystem. In this study, we explored the effects of three vegetation restoration modes (coal mine spoils planting (CK), organic fertilizer planting (OF), and cover soil planting (CS)) on the five cold-resistance related physiological indices of three native Gramineae plants (Elymus nutans, Poa crymophila and Festuca sinensis) growing in three different habitats (shady slope, sunny slope, and flat slope). The higher contents of soluble sugar (SS) in the Elymus nutans (213.46 mg/g) and Festuca sinensis (202.84 mg/g) were recorded under the CS treatment in the sunny slope habitat. The FP contents of Elymus nutans (421.31 μg/g), Poa crymophila (310.06 μg/g), and Festuca sinens (288.45 μg/g) were higher under the CK treatment in the flat ground habitat. The higher (P < 0.05) content of chlorophyll (Chl) was recorded in the Elymus nutans (2.13 mg/g) under the CS treatment in the sunny slope habitat compared to the other two plants. We observed lower MDA contents in the Elymus nutans (3.19 nmol/g) and Festuca sinensis (3.56 nmol/g) under the CK treatment growing in the shady slope habitat. In the shady slope habitat, the H2O2 contents of Elymus nutans (15.86 μmol/g), Poa crymophila (6.78 μmol/g), and Festuca sinensis (8.76 μmol/g) under the CS treatment were significantly lower compared to other treatments. Based on membership function method, the low-temperature adaptability order of the three restoration plants from strong to weak was Elymus nutans > Festuca sinensis > Poa crymophila. While the effectiveness order of the three vegetation restoration models in alpine mining areas from good to bad was CS > OF > CK. This study will provide a theoretical and guiding significance to evaluate the effectiveness of different restoration methods, formulate optimal restoration strategies and guide the sustainable restoration of the damaged ecosystems of the alpine mining areas.

Development of a Process‐Based N2O Emission Model for Natural Forest and Grassland Ecosystems

AbstractForests and grasslands play a significant role in global nitrous oxide (N2O) emission, while a sophisticated model is missing to interpret the microbial processes involved in N2O production and consumption in these ecosystems. A new N2O emission model, MicN model, was developed for natural forest and grassland ecosystems by integrating with Integrated BIosphere Simulator (IBIS). This new model includes four major N2O correlated processes: autotrophic nitrification, heterotrophic nitrification, nitrifier denitrification and denitrifier denitrification. Thirty‐nine observation sites, including various forest and grassland ecosystem types, were selected to calibrate and validate IBIS‐MicN model. The IBIS‐MicN model explained 89% and 85% of observed daily variability in N2O emission for all calibration and validation sites, respectively. In addition, the model successfully predicted the concentrations of two important intermediates (i.e., ammonium and nitrate) for N2O production at nine validation sites. Compared with Forest‐DNDC model, IBIS‐MicN model performed better in simulating N2O emission, soil NH4+ and NO3−concentrations. At site scale, the simulated N2O emissions by IBIS‐MicN model positively correlated with annual mean soil temperature and annual precipitation, but negatively correlated with soil pH. This study provides an alternative model to estimate global N2O emission from natural forest and grassland ecosystems and to investigate corresponding environmental regulations.

Driving mechanisms of climate-plant-soil patterns on the structure and function of different grasslands along environmental gradients in Tibetan and Inner Mongolian Plateaus in China

Grassland plants contribute to carbon fixation through photosynthesis, which can in turn produce plant biomass. Previous studies have demonstrated that vegetation productivity is enhanced by improved soil nutrient status in humid environments and is influenced by climate in arid environments. However, the responses of biomass productivity to different patterns of climate-plant-soil in different natural grassland ecosystems have not been clearly and comprehensively analyzed. In this study, we systematically explore the functional patterns of different grasslands, as well as the underlying mechanisms in the response to key climatic, soil, and plant factors. The survey range covered broad environmental gradients from humid, semi-arid, to arid environments in Tibetan and Inner Mongolian Plateaus. We found that the above- and belowground biomass production gradually decreased from humid, semi-arid, to arid environments. Biomass production was sensitive to climatic factors in different environments. However, compared to soil and plant factors, climate was always the most important factor determining biomass production in all grassland types. Furthermore, biomass production was regulated mainly by climate and soil characteristics in humid environments, but by climate in arid environments. Specifically, the corresponding limiting factors of each factor largely dominated the effects of the corresponding factors on different grasslands. For instance, the climate dominated by temperature negatively influenced the soil nutrient availability and then influenced the aboveground biomass production in alpine humid grasslands. These findings enhance our understanding of the heterogeneity of mechanisms of different grasslands along broad environmental gradients, which are crucial for predicting the effects and consequences of environmental change on terrestrial ecosystem functioning.

The Complex Biodiversity-Ecosystem Function Relationships for the Qinghai-Tibetan Grassland Community.

Despite the long history of the study of the biodiversity-ecosystem function relationship, uncertainty remains about the relationship of natural grassland ecosystems under stressful conditions. Recently, trait- and phylogenetic-based tests provide a powerful way to detect the relationship in different spaces but have seldom been applied to stressful zones on a large spatial scale. We selected Qinghai-Tibetan as the study area and collected a grassland community database involving 581 communities. We calculated biomass and species’, functional, and phylogenetic diversity of each community and examined their relationships by using linear and non-linear regression models. Results showed an overall positive biodiversity-productivity relationship in species’, functional and phylogenetic space. The relationship, however, was non-linear, in which biodiversity explained better the variation in community biomass when species diversity was more than a threshold, showing a weak effect of biodiversity on ecosystem function in low species diversity communities. We also found a filled triangle for the limit of the relationship between species and functional diversity, implying that functional diversity differs significantly among communities when their species diversity is low but finally converges to be a constant with increasing communities’ species diversity. Our study suggests that multiple niche processes may structure the grassland communities, and their forces tend to balance in high-biodiversity communities.

Effects of climate change and pollen supplementation on the reproductive success of two grassland plant species.

Climate change has the potential to alter plant reproductive success directly and indirectly through disruptions in animal pollination. Climate models project altered seasonal precipitation patterns, and thus, the effects of climate change on available resources and pollination services will depend on the season. Plants have evolved reproductive strategies to so they are not limited by either pollen or water availability in their reproductive success, and therefore, we expect that the disruption of climate change might cause plants to be more pollen limited in seasons that become wetter than they were historically. In this study, we conducted a pollen supplementation experiment within the Global Change Experiment Facility (GCEF) in Central Germany. The GCEF experimentally manipulates future climate based on a realistic scenario of climate change for the region (drier summers and wetter springs and falls) in a native grassland ecosystem. We quantified seed production of two perennial species Dianthus carthusianorum and Scabiosa ochroleuca in response to pollination treatments (control, supplement), climate treatments (ambient and future) and season (summer and fall). Dianthus carthusianorum produced more seeds in future climate conditions independent of the season, but only when given supplemental pollen. Both species showed an increased reproduction in summer compared with the fall. We did not find evidence for our specific expectation of higher pollen limitation in the future climate and fall season (i.e., no three‐way interaction pollination × season × climate), which might be explained by the high‐drought tolerance and generalized pollination of our focal plant species. We conclude that plant reproductive success has the potential to change with changing climates and that this change will depend on how pollinator services change in the future. We offer many suggestions for future studies that are necessary to understand the context dependence and underlying mechanisms of plant reproductive responses to climate.

Avian community response to a novel environment: Commercial forestry in the Campos grasslands of South America

Establishing commercial tree plantations in native grassland ecosystems introduces a different structural and functional vegetation cover type, with expected implications for biodiversity. To better understand biodiversity responses to afforestation, we conducted a resource-use study with birds as a focal group, during the 2013–2014 breeding season in the Northern Campos grasslands of Uruguay. We sampled birds in native environments and plantations of loblolly pine (Pinus taeda) and flooded gum (Eucalyptus grandis) at different rotation stages. We recorded 103 species during 1,573 visits (10-min, 50-meter radius point counts) to 570 stratified sampling units. Native grasslands and forests exhibited greater diversity and had greater variability in species composition than structurally homogeneous plantations. Avian communities in plantations had distinct species combinations and relative abundances not found in native conditions. Avian communities in older plantations were more similar to native forests while those of newly-planted stands were more like grasslands. However, plantations were dominated by habitat generalists and some forest-dependent species, with negligible use by grassland specialist birds. Our results suggest the best conservation opportunities for grassland-dependent birds in afforested systems of the Campos of Uruguay may depend on diverse landscape-level measures rather than stand-level management practices. Albeit our research constituted a comprehensive assessment of bird taxonomic alpha and beta diversity, research on complementary diversity facets and multi-scale resource selection and demographic studies are needed to better understand the fitness implications for conserving and managing grassland birds in afforested landscapes.

Mapping native and invasive grassland species and characterizing topography-driven species dynamics using high spatial resolution hyperspectral imagery

Characterizing the distribution, mechanism, and behaviour of invasive species is crucial to implementing an effective plan to protect and manage native grassland ecosystems. Hyperspectral remote sensing has been used to map and monitor invasive species at various spatial and temporal scales. However, most studies focus either on invasive tree species mapping or on the landscape level using coarse-spatial resolution imagery. These coarse-resolution images are not fine enough to distinguish individual invasive grasses, especially in a heterogeneous environment where invasive species are small, fragmented, and co-existent with native plants with similar color and texture. To capture the small yet highly dynamic invasive plants at different stages of the growing season and under various topography and hydrological conditions, we use airborne high-resolution narrow-band hyperspectral imagery (HrHSI) to map invasive species in a heterogeneous grassland ecosystem in southern Ontario, Canada. The results show that there is high spectral and textural separability between two invasive species and between invasive and native plants, leading to an overall species classification accuracy of up to 89.6%. The combination of resultant species-level maps and the digital elevation model (DEM) showed that seasonality is the dominant factor that drives the distribution of invasive species at the landscape level, while small-scale topographic variations partially explain local patches of invasive species. This study provides insights into the feasibility of using HrHSI in mapping invasive species in a heterogeneous ecosystem and offers the means to understand the mechanism and behaviour of invasive species for a more effective grassland management strategy.

A scientific basis for promoting grassland ecosystemmultifunctionality by diversifying grazing livestock: A review

The grassland is the largest terrestrial ecosystem in the world. How to manage and maintain grassland ecosystem functionality is becoming a critical issue as grasslands face serious degradation under the increasing pressures of global change. Livestock grazing is one such pressure, and it is the most widespread land use on Earth. Here, we explore theories and empirical evidence regarding how diversifying grazing livestock species and breeds could potentially improve grassland ecosystem multifunctionality. First, livestock grazing has been known to affect grassland multitrophic biodiversity, and thereby ecosystem multifunctionality. Different livestock species, such as cattle and sheep, vary in their foraging mode, diet, trampling effect and movement as well as in the quantity, distribution, and chemical composition of their excreta deposited in grasslands. As a result, diversity in livestock grazers leads to a variety of disturbances, higher landscape heterogeneity and more varied niches for plants, insects and soil organisms to inhabit. Therefore, diversity in grazers promotes higher overall ecosystem biodiversity. Second, livestock is an important dispersal agent for plants because they reduce intraspecific competition, minimize loss of genetic diversity and mitigate inbreeding. This leads to a more viable and diverse plant population. Third, diverse livestock species in natural grassland ecosystems may ecologically replace large-bodied and extinct native herbivores, and they certainly directly increase herbivore diversity, in grassland ecosystems. Finally, when a variety of livestock species or breeds grazes in the same grassland, it can lead to complex multi-species interactions. These interactions can be attributed to different nutritional demands and selections, and they thus greatly enhance trophic complexity and ecosystem functioning. At its core, the theory of diversifying livestock grazing aims to choose herbivores with different morphological, physiological or behavioral characteristics to thereby exert diverse disturbance on grasslands, rather than a single stressor. These diversified groups of livestock could comprise animal species of different functional groups, such as grazers and browsers, different species of the same functional group, or even different breeds of the same species. The greater the morphological, physiological and behavioral differences among livestock, the more sustainable is the grazing. Further, this diversity can also be created by adjusting the relative abundance of each species or variety, or by adopting one of two grazing modes; where all livestock graze in the same grassland at the same time (i.e., mixed grazing), or at different times (i.e., alternate grazing). In conclusion, altering livestock species composition and grazing intensity may improve grassland ecosystem functioning. We suggest that the ecological effects of grazing by diversifying livestock species and breeds should be empirically tested across different grassland types worldwide, and each specific mode of diversifying livestock grazing should be explored in turn. Future studies should test the following key questions: (1) Can altering the proportion or grazing sequence of different livestock species help achieve optimal grazing by multiple livestock species? (2) How do introduced diverse livestock interact with native herbivores? (3) Can diverse livestock be used as a long-term ecological substitute for large wild herbivores to maintain grassland ecosystem functioning?

Grazing exclusion mediates the trade-off between plant diversity and productivity in Leymus chinensis meadows along a chronosequence on the Songnen Plain, China

Grazing exclusion has become an effective approach for restoring the structure and function of natural grassland ecosystems on the Songnen Plain, China. Variations in, and trade-offs between, plant diversity and productivity throughout the restoration processes are critical for understanding the successional mechanisms of vegetation. In this study, we selected five Leymus chinensis meadow sites at different restoration stages (0, 6, 11, 15, and 23 year) to determine the effects of grazing exclusion on the plant community. Grazing exclusion practices substantially changed the plant composition of degraded L. chinensis meadows. Annuals and biennials accounted for the highest proportion (42.8%) at the grazing site (i.e., the 0-year site), whereas perennial rhizome grasses accounted for the highest proportion of plants (67.5%) at the 11-year grazing exclusion site. Plant species diversity decreased and then increased with time since grazing exclusion over the 11 years. Plant height and cover were highest at the 15-year grazing exclusion site. Restoration of the aboveground biomass took longer than that of the belowground biomass. The relative benefits of grazing exclusion for different restoration objectives changed with time, changing from higher greater benefits for diversity to greater benefits for productivity. The 15-year grazing exclusion site had the lowest trade-off index (0.02), indicating a similar benefit for both species diversity and productivity. Considering the changes in plant communities, the trade-off index is a reliable indicator for evaluating the restoration process; therefore, we recommended grazing exclusion for 15 years as a reasonable duration. This study provides important guidelines for maintaining ecosystem structure and function during grazing exclusion grasslands.

Varying interactive effects of climate, soil properties, and gross nitrogen dynamics on biomass production between the topsoil and the subsoil in natural grassland ecosystems

Soil nitrogen (N) availability, which is primarily controlled by climate and soil properties, may play a key role in regulating biomass production in natural grasslands. However, how climate, soil properties, and gross N dynamics interact in their regulation of biomass production in natural grassland ecosystems in climate-sensitive biomes remains largely unclear. We quantified gross N transformation rates using the 15N dilution technique and the abundance of bacteria, fungi, ammonia-oxidizing archaea, and bacteria in the topsoil (0–10 cm) and subsoil (30–40 cm) in four natural grassland ecosystems along an altitudinal gradient from the Inner Mongolian (IM) to the Qinghai-Tibet (QT) plateaus. The results showed that gross N mineralization rates were generally greater in the topsoil (1.28–4.79 mg N kg−1 soil d−1) than in the subsoil (0.19–0.93 mg N kg−1 soil d−1) in all four grasslands. Gross nitrification rates were also consistently greater in the topsoil (2.42–6.48 mg N kg−1 soil d−1) than in the subsoil (<1.43 mg N kg−1 soil d−1) in all four grasslands. Gross nitrification rates were positively correlated with gross N mineralization rates, suggesting that soil nitrification was probably substrate limited. We present evidence of different interactive effects of climate, soil properties, and gross N dynamics on biomass production between the topsoil and the subsoil. In the topsoil, mean annual precipitation influenced gross N mineralization by altering total microbial activity and, in turn, influencing aboveground biomass. However, mean annual temperature influenced underground biomass through altering gross N mineralization in the subsoil. Climate influences biomass production by directly and indirectly regulating soil gross N mineralization in natural grasslands from the IM to the QT plateaus. The findings of the present study could facilitate better prediction of soil N availability for plants in natural grasslands under projected global climate change scenarios.

Potential of grazing management to improve beef cattle production and mitigate methane emissions in native grasslands of the Pampa biome.

We tested the hypothesis that improving sward structure through adjustments in forage allowance results in greater forage intake and live weight (LW) gains by beef cattle and lower CH4 emissions per unit LW gain and unit area in a native grassland ecosystem of the Pampa biome. The experiment was carried out during 2012 and 2013 in southern Brazil. The experimental design was a randomized complete block with two replicates. Treatments consisted of five contrasting forage allowances of a native grassland managed under continuous stocking: 4, 8, 8-12, 12, and 16kg of dry matter (DM) 100kg LW-1day-1 (or % LW). The 8-12% LW treatment had a variable forage allowance of 8% LW in spring and 12% LW in summer, autumn, and winter. Forage allowance was controlled by changes in stocking rate (kg LW ha-1). Average daily gain (kg LW day-1) was high for forage allowances of 12 and 16% LW but decreased at 8%, reaching the lowest value at 4% LW treatment (p<0.001). Live weight gain ha-1year-1 was the greatest at forage allowance of 8-12% LW (p<0.001). Forage DM intake peaked at a forage allowance of 12% LW (p=0.005). Individual CH4 emissions remained constant around 150gday-1 for the two highest forage allowances and decreased to 118 and 107gday-1 under forage allowances of 8 and 4% LW, respectively (p=0.002). Emissions per unit LW gain and unit area were driven by animal productivity changes and decreased with increasing forage allowance (p=0.001 and p=0.040, respectively). We propose that the combination of 8% LW forage allowance during spring and 12% LW during the rest of the year should be targeted to best balance animal production and environmental impact in the Pampa biome.

Retaining eucalyptus harvest residues promotes different pathways for particulate and mineral‐associated organic matter

AbstractEucalyptus plantations have replaced other (agro)ecosystems over 5.6 Mha in Brazil. While these plantations rapidly accumulate carbon (C) in their biomass, the C storage in living forest biomass is transient, and thus, longer‐term sustainability relies on sustaining soil organic matter (SOM) stocks. A significant amount of harvest residues (HR) is generated every rotation and can yield SOM if retained in the field. Yet, there is little information on how managing eucalyptus HR changes SOM dynamics. We used isotopic and molecular approaches in a 3‐yr field decomposition experiment where a native grassland has been replaced by eucalyptus plantations to assess how HR management practices influence content and chemistry of two distinct SOM fractions [particulate (POM) and mineral‐associated organic matter (MAOM)] at two soil depths (0–1 and 1–5 cm). The management practices investigated were HR removal (−R), only bark removal (−B), and retention of all HR (including bark, +B), combined with two levels of nitrogen (N) fertilization [0 (−N) and 200 (+N) kg/ha]. N fertilization inhibited HR decomposition (P = 0.0409), while bark retention had little effect (P = 0.1164). Retaining HR, especially with bark, increased POM‐C and MAOM‐C content (2.1‐ and 1.2‐fold, respectively), decreased POM‐δ13C (1.2‐fold), and increased inorganic N retention (1.7‐fold) compared with plots where HR had been removed. Inorganic N applications, however, diminished the positive impacts of bark retention. Although the influence of HR management was most pronounced in POM, retaining HR reduced potential soil C mineralization by up to 20%. POM and MAOM chemistry shifted over time and revealed distinct influence of HR on the formation of these fractions. We demonstrate that HR management alters SOM dynamics and that retaining HR, particularly including bark, enhances SOM retention. With continuing conversion of native grassland ecosystems to eucalyptus, long‐term sustainability will require careful HR and fertilizer management to balance total biomass harvest with sustaining belowground SOM concentrations.