Daniel J. Undersander

Some ecological and socio-economic considerations for biomass energy crop production

Abstract Power generation using biomass could provide substantial environmental and socio-economic benefits. Production of the feedstocks to fuel biomass power plants can either add to potential environmental gains or contribute to the environmental problems which the agriculture and forestry industries already face. Likewise, the biomass energy infrastructure can help strengthen agricultural economies or speed the decline of rural communities. The purpose of this paper is to suggest a regional approach to ensure that energy crop production will proceed in an ecologically and economically sustainable way. At this juncture, we have the opportunity to build into the system some ecological and socio-economic values which have not traditionally been considered. If crop species are chosen and sited properly, incorporation of energy crops into our agricultural system could provide extensive wildlife habitat and address soil and water quality concerns, in addition to generating renewable power. We recommend that three types of agricultural land be targeted for perennial biomass energy crops: (1) highly erodible land; (2) wetlands presently converted to agricultural uses; and (3) marginal agricultural land in selected regions. Fitting appropriate species to these lands, biomass crops can be successfully grown on lands not ecologically suited for conventional farming practices, thus providing an environmental benefit in addition to producing an economic return to the land owner.

Using stream macroinvertebrates to compare riparian land use practices on cattle farms in southwestern Wisconsin.

Abstract Vegetative riparian buffer strips are typically used to curb stream degradation due to cattle grazing, but intensive rotational grazing has shown promise as an alternative best management practice. We compared aquatic macroinvertebrate assemblages among stream segments within continuously grazed pastures, intensive rotationally grazed pastures, undisturbed grassy vegetative buffer strips, and undisturbed woody vegetative buffer strips. We collected macroinvertebrate and stream sedimentation data from four streams in each land use category in two consecutive years. In an attempt to account for inherent watershed variability among streams, we represented watershed condition with a sample collected upstream of each treatment reach. Watershed condition tended to have greater influence on macroinvertebrate measures than local riparian land use. However, local riparian land use influences were apparent if watershed condition was statistically accounted for with analysis of covariance. Stream reaches with intensive rotational grazing tended to have macroinvertebrate assemblage characteristics intermediate of the buffer and continuously grazed reaches. Although we detected some differences in macroinvertebrate assemblages that apparently reflected very local land use, our results suggest the macroinvertebrates were mostly responding to large-scale watershed influences.

Prediction of leaf:stem ratio in grasses using near infrared reflectance spectroscopy.

Leaf:stem ratio of grass stands is an important factor affecting diet selection, quality, and forage intake. Estimates of leaf:stem ratios commonly are based on a labor intensive process of hand separating leaf and stem fractions. Near infrared reflectance spectroscopy (NIRS) has been used successfully to predict forage quality and botanical composition of vegetation samples. The objective of this study was to evaluate the use of NIRS to predict leaf:stem ratios in big bluestem (Andropogon gerardii Vitman), switchgrass (Panicum virgatum L.), and smooth bromegrass (Bromus inermis Leyss.). A total of 72 hand-clipped samples of each species was taken from seeded monocultures in eastern Nebraska throughout the 1992, 1993, and 1994 growing seasons. Leaf:stem ratio was determined first for each sample and then the entire sample was ground. Samples were scanned by a Perstorp model 6500 near infrared scanning monochromator. Three calibration equations were developed based on using 18, 36, and 54 (1/4, 1/2, and 3/4 of total samples, respectively) samples. These 3 calibration equations were used to determine the number of samples necessary to achieve an r2 of 0.70 or higher for each data set. Big bluestem and switchgrass had coefficients of determination (r2) of less than or greater than 0.69 for all calibration equations except for the equation using only 18 samples of big bluestem r2 = 0.60). Smooth bromegrass had a r2 ranging from only 0.06 to 0.14 for the calibration equations regardless of the number of samples used. Near infrared reflectance spectroscopy was a rapid means of estimating leaf:stem ratios in monocultures of big bluestem and switchgrass but it was not suitable for smooth bromegrass.

Rapid phytochemical analysis of birch (Betula) and poplar (Populus) foliage by near-infrared reflectance spectroscopy

AbstractPoplar (Populus) and birch (Betula) species are widely distributed throughout the northern hemisphere, where they are foundation species in forest ecosystems and serve as important sources of pulpwood. The ecology of these species is strongly linked to their foliar chemistry, creating demand for a rapid, inexpensive method to analyze phytochemistry. Our study demonstrates the feasibility of using near-infrared reflectance spectroscopy (NIRS) as an inexpensive, high-throughput tool for determining primary (e.g., nitrogen, sugars, starch) and secondary (e.g., tannins, phenolic glycosides) foliar chemistry of Populus and Betula species, and identifies conditions necessary for obtaining reliable quantitative data. We developed calibrations with high predictive power (residual predictive deviations ≤ 7.4) by relating phytochemical concentrations determined with classical analytical methods (e.g., spectrophotometric assays, liquid chromatography) to NIR spectra, using modified partial least squares regression. We determine that NIRS, although less sensitive and precise than classical methods for some compounds, provides useful predictions in a much faster, less expensive manner than do classical methods. Graphical abstractNear-infrared reflectance spectroscopy with calibrations based on modified partial least squares regression can provide quantitative measurements of foliar nitrogen, carbohydrate, tannin, and phenolic glycoside content in poplar and birch

Technical note: comparison of simulated ground nest types for grazing/trampling research.

Ornithologists often use simulated nests consisting of game bird or domestic poultry eggs to study nest survival. Researchers investigating cattle trampling of ground nests have sometimes used clay targets instead of actual eggs to avoid the confounding effects of nest depredation. To determine whether livestock respond similarly to clay targets and egg nests, we compared inadvertent trampling and intentional disturbance of clay targets versus clutches of 3 pheasant eggs by Angus X Holstein heifers. Overall trampling levels for clay target- and egg-nests were similar (35 and 36%, respectively). Cattle noticed and responded to both types of nests. When noticed, simulated nests were kicked, sniffed, licked, or picked up in the mouth. Cattle disturbed an average of 25% of the clay targets and 8% of the egg nests during 4 trials. Our results suggest that cattle are as likely to inadvertently trample egg nests as they are clay targets, but targets are more likely to attract attention and are therefore disturbed more often than egg nests. The greater likelihood of intentional disturbance of clay targets by cattle reduces the confidence of extrapolating the fate of this type of simulated nest to that of actual nests.

Remnant oak savanna acts as refugium for meadow fescue introduced during nineteenth century human migrations in the USA

In 1990, an unknown forage grass was discovered growing in the shade of a remnant oak savanna in southwestern Wisconsin. Over 12 years, the practice of feeding mature hay on winter pastures spread this grass onto over 500 ha via seedling recruitment. Analysis of amplified fragment length polymorphic (AFLP) markers on 561 plants, compared to a diverse sample of wild European collections of perennial ryegrass (Lolium perenne L.), Italian ryegrass (L. multiflorum Lam.), meadow fescue (Festuca pratensis Huds. = L. pratense (Huds.) Darbysh.), and tall fescue (F. arundinacea Schreb.), identified a highly diverse population that was more closely allied with F. pratensis than the other species, based on genetic distances. Genomic in situ hybridization (GISH), using both Lolium- and Festuca-specific probes, led to effective hybridizations by only the Festuca-specific probes and gave indications of close homology to the F. pratensis genome. Similarly, genetic distance analysis using PCR-based Lolium expressed sequence tag (EST) markers on a subset of genotypes, compared to the four control species, clearly identified F. pratensis as the closest relative. Sequence analysis of the trnL intron of cpDNA distinguished the unknown plants from F. arundinacea, but not from Lolium. Additional survey work has identified this grass on 12 other farms within an area of about 20,000 ha. Soil samples accompanying plant samples indicated no seed banks and most farm records indicate no commercially introduced seeds during the twentieth century. We hypothesize that seeds of meadow fescue may have arrived with some of the earliest European immigrants to Wisconsin and spread along the historic Military Ridge Trail, a network of frontier U.S. Army forts connected by a major thoroughfare.