Validating Landsat-based landscape metrics with fine-grained land cover data

ContextModerate-grained data may not always represent landscape structure in adequate detail which could cause misleading results. Certain metrics have been shown to be predictable with changes in scale; however, no studies have verified such predictions using independent fine-grained data.ObjectivesOur objective was to use independently derived land cover datasets to assess relationships between metrics based on fine- and moderate-grained data for a range of analysis extents. We focus on metrics that previous literature has shown to have predictable relationships across scales.MethodsThe study area was located in eastern Connecticut. We compared a 1 m land cover dataset to a 30 m resampled dataset, derived from the 1 m data, as well as two Landsat-based datasets. We examined 11 metrics which included cover areas and patch metrics. Metrics were analyzed using analysis extents ranging from 100 to 1400 m in radius.ResultsThe resampled data had very strong linear relationships to the 1 m data, from which it was derived, for all metrics regardless of the analysis extent size. Landsat-based data had strong correlations for most cover area metrics but had little or no correlation for patch metrics. Increasing analysis areas improved correlations.ConclusionsRelationships between coarse- and fine-grained data tend to be much weaker when comparing independent land cover datasets. Thus, trends across scales that are found by resampling land cover are likely to be unsuitable for predicting the effects of finer-scale elements in the landscape. Nevertheless, coarser data shows promise in predicting fine-grained for cover area metrics provided the analysis area used is sufficiently large.     

Resolving the Conflicts Between Biodiversity Conservation and Socioeconomic Development in China: Fuzzy Clustering Approach

Resolving the conflicts between biodiversity conservation and socioeconomic development is a global pursuit for the long-run prospects of the human species. Based on Wenchuan County, a typical county in southwestern China, a group of 20 indicators quantifying regional biodiversity and socioeconomic development was established to classify and evaluate the county area spatially. A fuzzy c-means clustering (FCM) algorithm was used as the classification method. Three indices including BD, DL and DR characterizing the value of biodiversity, the level and rate of socioeconomic development of the delineated regions were formulated. The results indicated that Wenchuan County was optimally classified into 4 types of regions (region I to IV). The area percentages of the regions vary widely from 4.3 to 65.7%. The sequences of the regions on biodiversity, socioeconomic development level, and socioeconomic development rate were, respectively, IV > II > III > I, I > III > II > IV and III >I >II >IV. The spatial strategy on coordinating biodiversity conservation and regional development is to develop mainly from the east(I, II, III) and to conserve mainly in the west(IV). Eco-industry, such as eco-tourism and eco-agriculture, need to be emphasized in the process of regional development. The quantitative methods used here may have a wide applicability.     

Production of N‐Acetyl‐Phosphinothricin: A Substance used for Inducing Male Sterility in Transgenic Plants

The non‐toxic compound N‐acetyl‐L‐phosphinothricin (N‐Ac‐L‐PPT) is used in a so‐called deacetylation system to induce male sterility in transgenic plants by tapetum specific deacetylation to the herbicide L‐phosphinothricin (L‐PPT). A procedure was developed to produce pure racemic and L‐isomeric N‐Ac‐PPT containing less than 30 ppm residual PPT. Experiments applied to wild type tobacco and PPT‐resistant tobacco showed that the maximal tolerated N‐Ac‐PPT concentration would be less than 45 mM of the L‐isomer. Otherwise unspecific deacetylation by several acylases, as well as by environmental conditions like higher temperatures or pHs beyond neutrality, increased the residual L‐PPT content to toxic concentrations. In contrast, N‐acetyl‐L‐phosphinothricyl‐alanyl‐alanine (N‐Ac‐L‐PPTT), a substance also occurring during the biosynthesis of phosphinothricyl‐alanyl‐alanine (PPTT) by some Streptomyces species, was tolerated up to 274 mM by wild type tobacco plants. However, the ArgE deacatylase from Escherichia coli originally used in the deacetylation system, as well as some other acylases, showed no activity towards N‐Ac‐L‐PPTT.     

Ants resort to majority concession to reach democratic consensus in the presence of a persistent minority

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Synthesis by Enzymatic Catalysis VI—An Investigation of Chemical Modification of HRP by Fourier Transform Infra-Red Vibrational Spectroscopy

Horseradish peroxidase was chemically conjugated on its carbohydrate moieties with short aliphatic chains (C₈ and C₁₆). An analytical method using FT.IR spectroscopy was developed to analyze this alteration in enzyme structure. This method is non-destructive, and can be applied directly to samples of the reaction mixture. More general applications of this technique are described and discussed.     

Novel Single-step Pretreatment of Steam Explosion and Choline Chloride to De-lignify Corn Stover for Enhancing Enzymatic Edibility

It is important to develop efficient and economically feasible pretreatment methods for lignocellulosic biomass, to increase annual biomass production. A number of pretreatment methods were introduced to promote subsequent enzymatic hydrolysis of biomass for green energy processes. Pretreatment with steam explosion removes the only xylan at high severity but increases lignin content. In this study, corn stover soaked in choline chloride solution before the steam explosion is economically feasible as it reduced cost. Enzymatic hydrolysis of de-lignified corn stover is enhanced by combinatorial pretreatments of steam explosion and choline chloride. Corn stover pretreated with choline chloride at the ratio of 1:2.2 (w/w), 1.0 MPa, 184 °C, for 15 min efficiently expelled 84.7% lignin and 78.9% xylan. The residual solid comprised of 74.59% glucan and 7.51% xylan was changed to 84.2% glucose and 78.3% xylose with enzyme stacking of 10FPU/g. This single-step pretreatment had ∼ 4.5 and 6.4 times higher glucose yield than SE-pretreated and untreated corn stover, respectively. Furthermore, SEM, XRD and FTIR indicated the porosity, crystalline changes, methoxy bond-cleavage respectively due to the lignin and hemicellulose expulsion. Thus, the released acetic acid during this process introduced this novel strategy, which significantly builds the viability of biomass in short pretreatment time.     

Effects of emergence phenology, taxa tolerances and taxonomic resolution on the use of the Chironomid Pupal Exuvial Technique in river biomonitoring

1. We studied chironomid communities of four rivers in south‐eastern Finland, differing in their water quality, during summer 2004 using the Chironomid Pupal Exuvial Technique, CPET. The aims of the study were to (i) test the adequacy of the generic‐level identification in the CPET method, (ii) define the emergence patterns of chironomid taxa classified as intolerant to organic pollution, (iii) assess the tolerance levels of intolerant chironomids and (iv) identify taxa most indicative of good water quality. 2. Procrustean rotation analysis indicated very strong concordance between the ordinations using either species or genus‐level data, suggesting that generic‐level identification of chironomids is adequate for biomonitoring based on CPET. However, when only a few taxa occur in great numbers, it may be advisable to identify these to the species level, especially if these taxa are important indicators of the impact in question. 3. The detection of a particular species may require accurate timing of sampling, whereas a species‐rich genus might be detected throughout a season. Given that the emergence of chironomid species may vary from year‐to‐year and between sampling sites, community differences detected at the species level may be related to between‐site variation in species’ emergence patterns rather than true differences in species composition. 4. Indicator species analysis (IndVal) showed that the distribution and abundance of intolerant chironomid taxa differed strongly among the studied rivers. Some of the intolerant taxa were restricted to unimpacted conditions, whereas others occurred mainly in impacted rivers. Thus, the indicator status of some genera (e.g. Eukiefferiella, Parametriocnemus, Stempellinella and Tvetenia) needs reassessment.