Modeling plant composition as community continua in a forest landscape with LiDAR and hyperspectral remote sensing.

In light of the need to operationalize the mapping of forest composition at landscape scales, this study uses multi-scale nested vegetation sampling in conjunction with LiDAR-hyperspectral remotely sensed data from the G-LiHT airborne sensor to map vascular plant compositional turnover in a compositionally and structurally complex North Carolina Piedmont forest. Reflecting a shift in emphasis from remotely sensing individual crowns to detecting aggregate optical-structural properties of forest stands, predictive maps reflect the composition of entire vascular plant communities, inclusive of those species smaller than the resolution of the remotely sensed imagery, intertwined with proximate taxa, or otherwise obscured from optical sensors by dense upper canopies. Stand-scale vascular plant composition is modeled as community continua: where discrete community-unit classes at different compositional resolutions provide interpretable context for continuous gradient maps that depict n-dimensional compositional complexity as a single, consistent RGB color combination. In total, derived remotely sensed predictors explain 71%, 54%, and 48% of the variation in the first three components of vascular plant composition, respectively. Among all remotely sensed environmental gradients, topography derived from LiDAR ground returns, forest structure estimated from LiDAR all returns, and morphological-biochemical traits determined from hyperspectral imagery each significantly correspond to the three primary axes of floristic composition in the study site. Results confirm the complementarity of LiDAR and hyperspectral sensors for modeling the environmental gradients constraining landscape turnover in vascular plant composition and hold promise for predictive mapping applications spanning local land management to global ecosystem modeling.

Mapping multi-scale vascular plant richness in a forest landscape with integrated LiDAR and hyperspectral remote-sensing.

The central role of floristic diversity in maintaining habitat integrity and ecosystem function has propelled efforts to map and monitor its distribution across forest landscapes. While biodiversity studies have traditionally relied largely on ground-based observations, the immensity of the task of generating accurate, repeatable, and spatially-continuous data on biodiversity patterns at large scales has stimulated the development of remote-sensing methods for scaling up from field plot measurements. One such approach is through integrated LiDAR and hyperspectral remote-sensing. However, despite their efficiencies in cost and effort, LiDAR-hyperspectral sensors are still highly constrained in structurally- and taxonomically-heterogeneous forests - especially when species' cover is smaller than the image resolution, intertwined with neighboring taxa, or otherwise obscured by overlapping canopy strata. In light of these challenges, this study goes beyond the remote characterization of upper canopy diversity to instead model total vascular plant species richness in a continuous-cover North Carolina Piedmont forest landscape. We focus on two related, but parallel, tasks. First, we demonstrate an application of predictive biodiversity mapping, using nonparametric models trained with spatially-nested field plots and aerial LiDAR-hyperspectral data, to predict spatially-explicit landscape patterns in floristic diversity across seven spatial scales between 0.01-900 m2 . Second, we employ bivariate parametric models to test the significance of individual, remotely-sensed predictors of plant richness to determine how parameter estimates vary with scale. Cross-validated results indicate that predictive models were able to account for 15-70% of variance in plant richness, with LiDAR-derived estimates of topography and forest structural complexity, as well as spectral variance in hyperspectral imagery explaining the largest portion of variance in diversity levels. Importantly, bivariate tests provide evidence of scale-dependence among predictors, such that remotely-sensed variables significantly predict plant richness only at spatial scales that sufficiently subsume geolocational imprecision between remotely-sensed and field data, and best align with stand components including plant size and density, as well as canopy gaps and understory growth patterns. Beyond their insights into the scale-dependent patterns and drivers of plant diversity in Piedmont forests, these results highlight the potential of remotely-sensible essential biodiversity variables for mapping and monitoring landscape floristic diversity from air- and space-borne platforms.

A plant growth form dataset for the New World.

This dataset provides growth form classifications for 67,413 vascular plant species from North, Central, and South America. The data used to determine growth form were compiled from five major integrated sources and two original publications: the Botanical Information and Ecology Network (BIEN), the Plant Trait Database (TRY), the SALVIAS database, the USDA PLANTS database, Missouri Botanical Garden's Tropicos database, Wright (2010), and Boyle (1996). We defined nine plant growth forms based on woodiness (woody or non-woody), shoot structure (self-supporting or not self-supporting), and root traits (rooted in soil, not rooted in soil, parasitic or aquatic): Epiphyte, Liana, Vine, Herb, Shrub, Tree, Parasite, or Aquatic. Species with multiple growth form classifications were assigned the growth form classification agreed upon by the majority (>2/3) of sources. Species with ambiguous or otherwise not interpretable growth form assignments were excluded from the final dataset but are made available with the original data. Comparisons with independent estimates of species richness for the Western hemisphere suggest that our final dataset includes the majority of New World vascular plant species. Coverage is likely more complete for temperate than for tropical species. In addition, aquatic species are likely under-represented. Nonetheless, this dataset represents the largest compilation of plant growth forms published to date, and should contribute to new insights across a broad range of research in systematics, ecology, biogeography, conservation, and global change science.

In vivo and in vitro evidence of altered nitric oxide metabolism in the spontaneously diabetic, insulin-dependent BB/Edinburgh rat.

1. Altered vasoreactivity may contribute significantly to the pathogenesis of diabetic vascular complications. This study investigated the effect of (a) insulin-related diabetes, and (b) chronic in vivo administration of N(omega)-nitro-L-arginine ester (L-NAME), a nitric oxide (NO) synthase inhibitor, on mean arterial pressure and in vitro vascular reactivity to noradrenaline in mesenteric arterial bed preparations from spontaneously diabetic, insulin-dependent and treated BB rats, the best animal model of insulin-dependent mellitus (IDDM) currently available. Four groups of animals from the Edinburgh colony (BB/E) of spontaneous diabetic BB rats were studied: age-matched (mean +/- s.e. mean = 156 +/- 2d) non-diabetic (glycated haemoglobin = 3.8 +/- 0.1%) and insulin-treated diabetic (glycated haemoglobin = 6.2 +/- 0.5%; duration of diabetes = 56 +/- 4 d) groups were either L-NAME treated (oral dose = 27 +/- 1 mg kg-1 d-1; duration of treatment from 30 until 153 days of age) or untreated. Although our diabetic BB/E rats do not achieve overall normoglycaemia, individual adjustment of the daily insulin dose administered to every diabetic rat achieves better glycaemic control than previous groups studying altered vascular reactivity and endothelial dysfunction in this animal model of diabetes. 2. Mean arterial pressure (measured directly via indwelling carotid arterial cannulae) was not significantly different between non-diabetic (116 +/- 3 mmHg; n = 10) and diabetic (122 +/- 2 mmHg; n = 12) BB/E rats. L-NAME treatment significantly (P < 0.001) increased mean arterial pressure in both groups (165 +/- 6 mmHg; n = 9 and 142 +/- 4 mmHg; n = 6 respectively) but the degree of hypertension observed in L-NAME-treated diabetic rats was significantly (P < 0.01) attenuated compared to non-diabetic rats treated with L-NAME. 3. Mesenteric arterial bed preparations were cannulated under anesthesia, excised and intralumenally perfused ex vivo with noradrenaline (0.2-20 microM). Basal perfusion pressures were not significantly different in mesentery preparations from non-diabetic (27.0 +/- 2.6 mmHg) and diabetic (27.1 +/- 3.2 mmHg) BB/E rats. There was no significant difference in maximal response above basal perfusion pressure (MAX) or pEC50, defined as the negative log of the agonist concentration required to give 50% of the maximal response above basal perfusion pressure, to noradrenaline in untreated non-diabetic (166 +/- 7 mmHg and 5.74 +/- 0.05 respectively) and diabetic (170 +/- 11 mmHg and 5.59 +/- 0.05) BB/E rats. 4. In vivo treatment of non-diabetic and diabetic BB/E rats with L-NAME had no significant effect on basal perfusion pressure (25.9 +/- 4.3 mmHg and 28.5 +/- 3.9 mmHg respectively). L-NAME treatment in vivo increased (P < 0.001) MAX to noradrenaline of non-diabetic rats (224 +/- 8 mmHg) but did not affect the value for diabetic rats (178 +/- 14 mmHg). L-NAME treatment did not alter after the pEC50 values in either group (5.71 +/- 0.05 and 5.65 +/- 0.05). 5. Consistent with previous studies using vascular preparations from spontaneously diabetic BB rats, mesentery preparations from diabetic BB/E rats (n = 12) exhibited a significantly reduced vasodilator response to acetylcholine (F value = 4.4, P < 0.05) across the concentration range studied compared to non-diabetic BB/E rats (n = 12) although there was no significant difference in maximal relaxation (diabetic 53.1 +/- 4.3% vs non-diabetic 55.7 +/- 5.5%) or pEC50, (diabetic 6.92 +/- 0.25 vs non-diabetic 7.49 +/- 0.22). There was no significant (F value = 0.8, P > 0.1) difference in the response to GTN between preparations from non-diabetic and diabetic rats (maximal relaxation: 49.6 +/- 3.7% vs 48.5 +/- 4.3%; pEC50: 7.84 +/- 0.12 vs 7.89 +/- 0.22 respectively). 6. In conclusion, vascular responsiveness to noradrenaline is not impaired in spontaneously diabetic BB/E rats with significantly better glycaemic control than those used in previous studies. However, following chronic L-NAME treatment, diabetic BB/E rats exhibit attenuated hypertension and an absence of enhanced vascular responsiveness to noradrenaline in vitro compared to similarly treated non-diabetic rats. These results, together with the significantly impaired endothelium-dependent vasodilatation and unchanged endothelium-independent vasodilatation in vitro of preparations from diabetic BB/E rats, are consistent with the hypothesis that functional changes in the synthesis and metabolism of NO (rather than altered vascular responsiveness to NO) occur in diabetes. Our results indicate that good glycaemic control alone is insufficient to prevent these abnormalities in NO availability and further studies to characterize the origin of these changes are necessary.

A screening test for subclinical liver disease in horses affected by pyrrolizidine alkaloid toxicosis.

OBJECTIVE: To evaluate various biochemical tests as indicators of subclinical liver disease in horses exposed to pyrrolizidine alkaloid toxicosis. DESIGN: A clinical pathology field study. ANIMALS: Twenty-two clinically normal horses from four properties in the Kimberley region of Western Australia. PROCEDURE: Serum samples from each horse were assayed for gamma glutamyltransferase, alkaline phosphatase and aspartate aminotransferase activities, and for serum bile acid concentration, albumin and total protein. Serum protein electrophoresis was performed and their amino acid profiles determined. Bromosulphophthalein half-clearance times were measured. Horses were then subjected to a single liver biopsy. Results were analysed by, variance of group means, the Fisher-Irwin exact test, and by sensitivity and specificity calculation. RESULTS: Horses were classified into 2 groups, of 10 unaffected and 12 subclinically affected, on the basis of liver histology. Significant differences between the unaffected and subclinical groups were observed for gamma glutamyltransferase and alkaline phosphatase activities (P < 0.01). Gamma glutamyltransferase had sufficient sensitivity (75%) and specificity (90%) to function as a primary screening test for subclinical liver disease in horses exposed to pyrrolizidine alkaloids. Alkaline phosphatase was useful, but with lower sensitivity (58%). CONCLUSION: Serum gamma glutamyltransferase activity is a useful screening test for detecting subclinical liver disease in horses exposed to pyrrolizidine alkaloids under field conditions in northern Australia.

Tuberculosis in imported hyrax (Procavia capensis) caused by an unusual variant belonging to the Mycobacterium tuberculosis complex.

Tuberculosis was diagnosed in an adult female hyrax (Procavia capensis) imported from South Africa and held in a captive colony at the Perth Zoo. An organism similar to Mycobacterium microti was isolated from the lung of this animal and the lung of an adult male hyrax in the colony. The organism was not pathogenic to rabbits or guinea pigs. Protein profiles and RFLP patterns using the probes IS6110 and pTBN12 showed both hyrax isolates were identical. These isolates were similar to a M. tuberculosis complex strain isolated from dassies (hyrax) in the late 1950s in South Africa and to M. microti, but appeared to be more closely related to the "dassie bacillus". It is likely that at least one of the hyrax was infected at the time of collection in South Africa. The finding of tuberculosis in these imported animals highlights concern over the lack of suitable tests for the detection of tuberculosis in unusual animal species such as these, and the problems that can arise as a result of the importation of infected animals.