Ambiguous Dependence Of Minimal Plant Generation Time On Nuclear DNA Content

AMBIGUOUS DEPENDENCE OF MINIMAL PLANT GENERATION TIME ON NUCLEAR DNA CONTENT Victor B. Ivanov The minimum generation time (MGT) of plant development was suggested to depend on nuclear DNA content, which varies in plants over wide limits1. In ephemeral species with the shortest MGT, the average C values were significantly lower than in annual species, whereas the average C values in annual species were lower than those in perennial plants. However, nobody has paid attention to the ratio of annual to perennial species number as a function of C values. Here I show that with increasing C the ratio of annual to perennial species increases to C values equal to 7-8 pg (monocots) and 6-7 pg (eudicots) and then decreases and that the fraction of annuals is abundant not at the lowest, but at some higher C levels. Hence, C value increase exerts an ambiguous effect on MGT. The C value is not the only factor, which determines the duration of the plant development. Nevertheless, the nuclear DNA content exerts a pronounced effect on MGT together with other diverse factors affecting the rate of plant development, especially at higher C values

The Analysis and Interpretation of Seedling Recruitment Curves

We derive spatially explicit population models for the interaction between a species of annual plant and a community of perennial species. The models are used to explore the conditions for persistence of the annual in both a constant and a stochastic environment. In both types of environment a seed's response to the presence of established perennial plants is found to affect strongly the conditions for persistence. Sensitivity analysis of a parameterized version of the model indicates the importance of germination and mortality parameters in allowing persistence. In the parameterized model large changes in fecundity have little effect on the condition for persistence. The implications of these results for the distribution of annual plants and the forces structuring communities of short-lived plants in successional habitats are discussed

Summer Annual Forage Mixtures Trial

In 2015, the University of Vermont Extension Northwest Crops and Soils Program evaluated yield and quality of six summer annual forage species and five mixtures at Borderview Research Farm in Alburgh, VT. In the Northeast, cool season grasses dominate the pastures and hay meadows farmers rely on throughout the season. With the onset of hot summer weather, these grasses enter dormancy and slow in production leading to what is generally referred to as the “summer slump.” Given this decline in productivity, organic producers still must provide animals with 30% of their dry matter intake (DMI) from pasture over at least 120 days of the year. These constraints, in combination with variable weather, can make it very difficult to produce adequate forage from these cool season perennial grasses alone. Summer annual species thrive in hot weather and can be grazed to help reach the pasture requirement or can be used as stored feed to supplement other sources. Recently, there has been a growing interest in utilizing multiple species to further maximize forage yield and quality. We compared six summer annual species alone and in three-and five-species mixtures to evaluate potential differences in forage production and quality. While the information presented can begin to describe the yield and quality performance of these forage mixtures in this region, it is important to note that the data represent results from only one season and one location

Summer Annual Forage Mixtures Trial

In 2016, the University of Vermont Extension Northwest Crops and Soils Program evaluated yield and quality of six summer annual forage species and five mixtures at Borderview Research Farm in Alburgh, VT. In the Northeast, cool season grasses dominate the pastures and hay meadows farmers rely on throughout the season. With the onset of hot summer weather, these grasses enter dormancy and slow in production leading to what is generally referred to as the “summer slump”. In addition to this loss in production, organic producers must provide animals with 30% of their dry matter intake (DMI) from pasture over at least 120 days of the year. These constraints, in combination with variable weather, can make it very difficult to produce adequate forage from these cool season perennial grasses alone to meet the farmer’s needs. Summer annual species thrive in hot weather and can be grazed to help reach the pasture requirement or can be used as stored feed to supplement other sources. Recently, there has been a growing interest in utilizing multiple species to maximize forage yield and quality. In 2015, we trialed three- and five-way mixtures of various summer annual grass, legume, and forb species. We found it very difficult to establish a well-balanced mixture as the grasses tended to outcompete the other species. In 2016, we simplified the project to examine seeding rates of summer annual legumes and grasses to better understand how to establish mixtures of these species and be able to benefit from both species. While the information presented can begin to describe the yield and quality performance of these forage mixtures in this region, it is important to note that the data represent results from only one season and one location

Germination Biology and the Ecology of Annual Plants

We derive spatially explicit population models for the interaction between a species of annual plant and a community of perennial species. The models are used to explore the conditions for persistence of the annual in both a constant and a stochastic environment. In both types of environment a seed's response to the presence of established perennial plants is found to affect strongly the conditions for persistence. Sensitivity analysis of a parameterized version of the model indicates the importance of germination and mortality parameters in allowing persistence. In the parameterized model large changes in fecundity have little effect on the condition for persistence. The implications of these results for the distribution of annual plants and the forces structuring communities of short-lived plants in successional habitats are discussed

The Analysis and Interpretation of Seedling Recruitment Curves

We derive spatially explicit population models for the interaction between a species of annual plant and a community of perennial species. The models are used to explore the conditions for persistence of the annual in both a constant and a stochastic environment. In both types of environment a seed's response to the presence of established perennial plants is found to affect strongly the conditions for persistence. Sensitivity analysis of a parameterized version of the model indicates the importance of germination and mortality parameters in allowing persistence. In the parameterized model large changes in fecundity have little effect on the condition for persistence. The implications of these results for the distribution of annual plants and the forces structuring communities of short-lived plants in successional habitats are discussed

Species richness-environment relationships of European arthropods at two spatial grains : habitats and countries

We study how species richness of arthropods relates to theories concerning net primary productivity, ambient energy, water-energy dynamics and spatial environmental heterogeneity. We use two datasets of arthropod richness with similar spatial extents (Scandinavia to Mediterranean), but contrasting spatial grain (local habitat and country). Samples of ground-dwelling spiders, beetles, bugs and ants were collected from 32 paired habitats at 16 locations across Europe. Species richness of these taxonomic groups was also determined for 25 European countries based on the Fauna Europaea database. We tested effects of net primary productivity (NPP), annual mean temperature (T), annual rainfall (R) and potential evapotranspiration of the coldest month (PETmin) on species richness and turnover. Spatial environmental heterogeneity within countries was considered by including the ranges of NPP, T, R and PETmin. At the local habitat grain, relationships between species richness and environmental variables differed strongly between taxa and trophic groups. However, species turnover across locations was strongly correlated with differences in T. At the country grain, species richness was significantly correlated with environmental variables from all four theories. In particular, species richness within countries increased strongly with spatial heterogeneity in T. The importance of spatial heterogeneity in T for both species turnover across locations and for species richness within countries suggests that the temperature niche is an important determinant of arthropod diversity. We suggest that, unless climatic heterogeneity is constant across sampling units, coarse-grained studies should always account for environmental heterogeneity as a predictor of arthropod species richness, just as studies with variable area of sampling units routinely consider area

Chemical species spatial distribution and relationship to elevation and snow accumulation rate over the Greenland Ice Sheet

Major chemical species (Cl−, NO−3, SO2−4, Na+, K+, Mg2+, Ca2+) from 24 snowpits (sampled at a resolution of 3 cm, total 2995 samples) collected from northern, central, and southern Greenland were used for this investigation. The annual and seasonal (winter and summer) concentration of each chemical species was calculated and used to study the spatial distribution of chemical species over the central portion of the Greenland Ice Sheet. A two‐sided t‐distribution test (α = 0.05) suggests that concentrations of major chemical species in snow do not vary significantly over this portion of central Greenland. The relationship between chemical concentration and snow accumulation rate was investigated using annual data from two groups of snowpits: those from coastal sites (northern and southern Greenland); and those from high‐altitude inland sites (central Greenland). The snowpit data from a single group, when examined independently of the other group, show that chemical concentrations do not vary with snow accumulation rate. However, when data from the two groups are integrated into a single data set, pseudorelationships appear, with NO−3 concentration decreasing and Na+, K+, Mg2+, and Cl− increasing as snow accumulation rate increases. Therefore we suggest that it is improper to study the relationship between chemical concentration and snow accumulation rate by using data collected from different geographic sites. The relationship between elevation and chemical concentration was investigated using the same suite of annual data sets. We find that Cl−, Na+, and Mg2+ concentrations decrease, while NO−3 concentration increases, with increasing elevation on the Greenland Ice Sheet

First Occurrence of \u3ci\u3eHippodamia Variegata\u3c/i\u3e (Goeze) (Coleoptera: Coccinellidae) in Ohio

(excerpt) Ladybird beetles, or coccinellids (Coleoptera: Coccinellidae), are significant arthropod predators in a variety of terrestrial ecosystems. Numerous classical biological control projects undertaken over the last 120 years in North America have involved importation of exotic ladybird beetle species for the control of invasive insect species in annual and perennial agricultural production systems