How weed management influence plant community composition, taxonomic diversity and crop yield: A long-term study in a Mediterranean vineyard

The impact of invasive weed management on plant community composition is highly dependent on location-specific factors. Therefore, treatment means from experiments conducted at a given set of locations will not reliably predict community response to weed management elsewhere. We developed a model that rescales treatment means to better match local conditions. The goal of this paper was to determine if this rescaling improves predictions. We used our model to predict leafy spurge stem length density and grass biomass data from field experiments. The experiments consisted of herbicide-treated plots, untreated controls, and, in some cases, grass seeding treatments. When herbicides suppressed leafy spurge, the model explained 21 to 48% more variation in grass response than did mean grass response to the same or similar herbicide treatments applied at other sites. When herbicides killed grass, the model explained 53% more variation in leafy spurge response than did mean leafy spurge response to the same herbicide treatment applied at other sites. We regressed model predictions against observed data and tested the null hypothesis that resulting slope terms were equal to 1.0. Because the null hypothesis was rejected in two of four tests, the model may systematically over- or underpredict in some situations. However, measurement error in the observed data, unintended herbicide injury, or an inaccurate allometric relationship may account for a major proportion of the systematic deviations, and these factors would not cause prediction error in some management applications. Because the model tends to be better than the means from experiments at predicting plant community composition, we conclude that the model could advance managers' ability to predict plant community responses to invasive weed management.

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Little evidence for limiting similarity in a long-term study of a roadside plant community

Journal of Ecology ◽

10.1111/j.1365-2745.2009.01610.x ◽

2010 ◽

Vol 98 (2) ◽

pp. 480-487 ◽

Cited By ~ 57

Author(s):

Ken Thompson ◽

Owen L. Petchey ◽

Andrew P. Askew ◽

Nigel P. Dunnett ◽

Andrew P. Beckerman ◽

...

Keyword(s):

Plant Community ◽

Limiting Similarity ◽

Term Study ◽

Long Term Study

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The effect of long-term nutrient deficiency on the abundance and community composition of arbuscular mycorrhizal fungi in a mountainous grassland

10.5194/egusphere-egu21-12688 ◽

2021 ◽

Author(s):

Kian Jenab ◽

Stefan Gorka ◽

Sean Darcy ◽

Lucia Fuchslueger ◽

Alberto Canarini ◽

...

Keyword(s):

Fatty Acid ◽

Community Composition ◽

Plant Community ◽

Fungal Biomass ◽

Nutrient Deficiency ◽

Soil Nutrient ◽

Am Fungi ◽

Fungal Communities ◽

Plant Community Composition

Arbuscular mycorrhiza (AM) fungi are associated with almost all land plants and provide soil nutrients and other benefits to their plant hosts in exchange for photosynthetic products. While fertilization regimes in managed grasslands or agricultural systems are tailored for increasing plant biomass, their potential effects on AM fungi are rarely taken into account. Nutrient-driven changes in abundance and community composition of AM fungi, however, may feedback on ecosystem performance in the long term. Therefore, it is necessary to get a better understanding on how AM fungal communities respond to changes and imbalances in soil nutrient availabilities.Here, we evaluated how long-term nutrient deficiency of phosphorus (P), nitrogen (N) and potassium (K) affects the abundance and community composition of AM fungi in a mountainous grassland. In addition, we investigated how the responses of AM fungi to those deficiencies were modulated by liming and the type of fertilizer addition (inorganic versus organic).Our study was carried out on a long-term nutrient deficiency experimental grassland site in Admont (Styria, Austria), established in 1946. Different fertilization treatments were applied for more than 70 years in a randomized block design, including numerous combinations of inorganic (P, N, K with/without lime) and organic (solid manure and liquid slurry) fertilizers. The hay meadow at the site is cut three times per year and biomass is not returned to the system. Therefore, biomass and nutrients have been continuously removed for decades, leading to different types of soil nutrient deficiency. In this study, we collected both root and soil samples in July 2019 and quantified AM fungi and other microbial groups by measuring neutral fatty acid (NLFA) and phospholipid fatty acid (PLFA) biomarkers, respectively. Additionally, we applied DNA and RNA-based amplicon sequencing of the 18S rRNA gene to identify AM fungal community composition.Our data shows that deficiencies of one or more elements had a major impact on both AM fungal biomass and community composition. AM fungal biomass was higher in plots that received no fertilizers compared to inorganically fertilized plots, but lower in plots which were deficient only in certain single or multiple elements, specifically in plots fertilized with inorganic N only (i.e., deficient in P and K). Conversely, liming and organic fertilizer amendments increased AM fungal biomass compared to plots containing inorganic fertilizers without lime. Across all treatments, AM fungal biomass was positively correlated with pH and soil water content, and negatively with dissolved N compounds, indicating indirect effects via responses of other soil parameters to nutrient deficiency. Long-term nutrient deficiency also altered plant community composition, which may also have indirectly affected AM fungal communities.We conclude that long-term nutrient deficiency, and in particular the stoichiometry of available nutrients, strongly affects the abundance and community composition of AM fungi in grassland soil. This response may be linked to changes in plant community composition or soil chemistry both as a result and as a cause, emphasizing the complexity of feedbacks determining the response of grassland ecosystems to changing nutrient conditions.

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Litter type affects the activity of aerobic decomposers in a boreal peatland more than site nutrient and water table regimes

Biogeosciences ◽

10.5194/bg-8-2741-2011 ◽

2011 ◽

Vol 8 (9) ◽

pp. 2741-2755 ◽

Cited By ~ 47

Author(s):

P. Straková ◽

R. M. Niemi ◽

C. Freeman ◽

K. Peltoniemi ◽

H. Toberman ◽

...

Keyword(s):

Community Composition ◽

Plant Community ◽

Indirect Effects ◽

Enzyme Activities ◽

Litter Quality ◽

Plant Community Composition ◽

Litter Type ◽

Direct Effects ◽

Short Term

Abstract. Peatlands are carbon (C) storage ecosystems sustained by a high water table (WT). High WT creates anoxic conditions that suppress the activity of aerobic decomposers and provide conditions for peat accumulation. Peatland function can be dramatically affected by WT drawdown caused by climate and/or land-use change. Aerobic decomposers are directly affected by WT drawdown through environmental factors such as increased oxygenation and nutrient availability. Additionally, they are indirectly affected via changes in plant community composition and litter quality. We studied the relative importance of direct and indirect effects of WT drawdown on aerobic decomposer activity in plant litter at two stages of decomposition (incubated in the field for 1 or 2 years). We did this by profiling 11 extracellular enzymes involved in the mineralization of organic C, nitrogen (N), phosphorus (P) and sulphur. Our study sites represented a three-stage chronosequence from pristine to short-term (years) and long-term (decades) WT drawdown conditions under two nutrient regimes (bog and fen). The litter types included reflected the prevalent vegetation: Sphagnum mosses, graminoids, shrubs and trees. Litter type was the main factor shaping microbial activity patterns and explained about 30 % of the variation in enzyme activities and activity allocation. Overall, enzyme activities were higher in vascular plant litters compared to Sphagnum litters, and the allocation of enzyme activities towards C or nutrient acquisition was related to the initial litter quality (chemical composition). Direct effects of WT regime, site nutrient regime and litter decomposition stage (length of incubation period) summed to only about 40 % of the litter type effect. WT regime alone explained about 5 % of the variation in enzyme activities and activity allocation. Generally, enzyme activity increased following the long-term WT drawdown and the activity allocation turned from P and N acquisition towards C acquisition. This caused an increase in the rate of litter decomposition. The effects of the short-term WT drawdown were minor compared to those of the long-term WT drawdown: e.g., the increase in the activity of C-acquiring enzymes was up to 120 % (bog) or 320 % (fen) higher after the long-term WT drawdown compared to the short-term WT drawdown. In general, the patterns of microbial activity as well as their responses to WT drawdown depended on peatland type: e.g., the shift in activity allocation to C-acquisition was up to 100 % stronger at the fen compared to the bog. Our results imply that changes in plant community composition in response to persistent WT drawdown will strongly affect the C dynamics of peatlands. The predictions of decomposer activity under changing climate and/or land-use thus cannot be based on the direct effects of the changed environment only, but need to consider the indirect effects of environmental changes: the changes in plant community composition, their dependence on peatland type, and their time scale.

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