A vulnerability analysis of the temperate forests of south central Chile A vulnerability analysis of the temperate forests of south central Chile. Biological Conservation, 122 2005: 9-21.

Areas of the landscape that are priorities for conservation should be those that are both vulnerable to threatening processes and that if lost or degraded, will result in conservation targets being compromised. While much attention is directed towards understanding the patterns of biodiversity, much less is given to determining the areas of the landscape most vulnerable to threats. We assessed the relative vulnerability of remaining areas of native forest to conversion to plantations in the ecologically significant temperate rainforest region of south central Chile. The area of the study region is 4.2 million ha and the extent of plantations is approximately 200000 ha. First, the spatial distribution of native forest conversion to plantations was determined. The variables related to the spatial distribution of this threatening process were identified through the development of a classification tree and the generation of a multivariate. spatially explicit, statistical model. The model of native forest conversion explained 43% of the deviance and the discrimination ability of the model was high. Predictions were made of where native forest conversion is likely to occur in the future. Due to patterns of climate, topography, soils and proximity to infrastructure and towns, remaining forest areas differ in their relative risk of being converted to plantations. Another factor that may increase the vulnerability of remaining native forest in a subset of the study region is the proposed construction of a highway. We found that 90% of the area of existing plantations within this region is within 2.5 km of roads. When the predictions of native forest conversion were recalculated accounting for the construction of this highway, it was found that: approximately 27000 ha of native forest had an increased probability of conversion. The areas of native forest identified to be vulnerable to conversion are outside of the existing reserve network. (C) 2004 Elsevier Ltd. All tights reserved.

A mitochondrial phylogeny of the rainforest skink genus Saproscincus, Wells and Wellington (1984)

The phylogenetic relationships and historical biogeography of 10 currently described rainforest skinks in the genus Saproscincus were investigated using mitochondrial protein-coding ND4 and ribosomal RNA 16S genes. A robust phylogeny is inferred using both maximum likelihood and Bayesian analysis, with all inter-specific nodes strongly supported when datasets are combined. The phylogeny supports the recognition of two major lineages (northern and southern), each of which comprises two divergent clades. Both northern and southern lineages have comparably divergent representatives in mid-east Queensland (MEQ), providing further molecular evidence for the importance of two major biogeographic breaks, the St. Lawrence gap and Burdekin gap separating MEQ from southern and northern counterparts respectively. Vicariance associated with the fragmentation and contraction of temperate rainforest during the mid-late Miocene epoch underpins the deep divergence between morphologically conservative lineages in at least three instances. In contrast, one species, Saproseincus oriarus, shows very low sequence divergence but distinct morphological and ecological differentiation from its allopatric sister clade within Saproseincus mustelinus. These results suggest that while vicariance has played a prominent role in diversification and historical biogeography of Saproscincus, divergent selection may also be important. (C) 2004 Elsevier Inc. All rights reserved.

Predicting forest attributes In southeast Alaska using artificial neural networks

Artificial neural network (ANN) methods are used to predict forest characteristics. The data source is the Southeast Alaska (SEAK) Grid Inventory, a ground survey compiled by the USDA Forest Service at several thousand sites. The main objective of this article is to predict characteristics at unsurveyed locations between grid sites. A secondary objective is to evaluate the relative performance of different ANNs. Data from the grid sites are used to train six ANNs: multilayer perceptron, fuzzy ARTMAP, probabilistic, generalized regression, radial basis function, and learning vector quantization. A classification and regression tree method is used for comparison. Topographic variables are used to construct models: latitude and longitude coordinates, elevation, slope, and aspect. The models classify three forest characteristics: crown closure, species land cover, and tree size/structure. Models are constructed using n-fold cross-validation. Predictive accuracy is calculated using a method that accounts for the influence of misclassification as well as measuring correct classifications. The probabilistic and generalized regression networks are found to be the most accurate. The predictions of the ANN models are compared with a classification of the Tongass national forest in southeast Alaska based on the interpretation of satellite imagery and are found to be of similar accuracy.

Holocene sea-surface reconstructions for the Californian margin

Time series of alkenone unsaturation indices gathered along the California margin reveal large (4° to 8°C) glacial-interglacial changes in sea surface temperature (SST) over the past 550,000 years. Interglacial times with SSTs equal to or exceeding that of the Holocene contain peak abundances in the pollen of redwood, the distinctive component of the temperate rainforest of the northwest coast of California. In the region now dominated by the California Current, SSTs warmed 10,000 to 15,000 years in advance of deglaciation at each of the past five glacial maxima. SSTs did not rise in advance of deglaciation south of the modern California Current front. Glacial warming along the California margin therefore is a regional signal of the weakening of the California Current during times when large ice sheets reorganized wind systems over the North Pacific. Both the timing and magnitude of the SST estimates suggest that the Devils Hole (Nevada) calcite record represents regional but not global paleotemperatures, and hence does not pose a fundamental challenge to the orbital ("Milankovitch") theory of the Ice Ages.

Genetic diversity and regional identity in the Australian remnant Nothofagus moorei

Nothofagus moorei (F. Muell.) Krasser has a disjunct and narrow distribution in south-eastern Australian cool temperate rainforest. To assess the conservation-genetic priorities for this species, the genetic diversity of 20 populations sampled from the largest remnant patches at northern and southern distributional extremes, the McPherson and Barrington ranges (a total of 146 individuals), was investigated by using inter simple sequence repeats (ISSR). Regeneration in northern regions of N. moorei has been documented to be predominantly by vegetative means, but our results indicate little evidence of clonality outside the multi-stemmed rings of trees. In addition, genetic diversity was considerably higher in the northern (McPherson, h = 0.1613) than in the southern range (Barrington, h = 0.1159), and genetic differentiation was significantly positively correlated with geographic distance in the former region, but not the latter. Total intraspecific variation was moderate, as measured by Shannon's diversity index, I = 0.2719, and Nei's gene diversity, h = 0.1672, and is considered at the high end of spectrum for estimates of narrow endemic species. An analysis of molecular variation indicated that the majority of genetic variation is partitioned among individuals within population (60%; P < 0.001), rather than among populations within regions (10%; P < 0.001). However, a large and significant component of the measured diversity was partitioned between northern and southern regions (29%; P < 0.001). Several hypotheses are outlined to explain these differences and management implications are discussed. However, given the narrow range, poor dispersal mechanism and restriction to cool temperate rainforest, the continued existence of N. moorei is most threatened by environmental instability and habitat loss resulting from global climate change. In this context the northern regions of the species are most at risk and extinction of such populations would lead to a significant loss of genetic variation for the species as a whole.

Climatic records over the past 30 ka from temperate Australia – a synthesis from the Oz-INTIMATE workgroup

Temperate Australia sits between the heat engine of the tropics and the cold Southern Ocean, encompassing a range of rainfall regimes and falling under the influence of different climatic drivers. Despite this heterogeneity, broad-scale trends in climatic and environmental change are evident over the past 30 ka. During the early glacial period (∼30–22 ka) and the Last Glacial Maximum (∼22–18 ka), climate was relatively cool across the entire temperate zone and there was an expansion of grasslands and increased fluvial activity in regionally important Murray–Darling Basin. The temperate region at this time appears to be dominated by expanded sea ice in the Southern Ocean forcing a northerly shift in the position of the oceanic fronts and a concomitant influx of cold water along the southeast (including Tasmania) and southwest Australian coasts. The deglacial period (∼18–12 ka) was characterised by glacial recession and eventual disappearance resulting from an increase in temperature deduced from terrestrial records, while there is some evidence for climatic reversals (e.g. the Antarctic Cold Reversal) in high resolution marine sediment cores through this period. The high spatial density of Holocene terrestrial records reveals an overall expansion of sclerophyll woodland and rainforest taxa across the temperate region after ∼12 ka, presumably in response to increasing temperature, while hydrological records reveal spatially heterogeneous hydro-climatic trends. Patterns after ∼6 ka suggest higher frequency climatic variability that possibly reflects the onset of large scale climate variability caused by the El Niño/Southern Oscillation.

Ancient Dispersal of the Human Fungal Pathogen Cryptococcus gattii from the Amazon Rainforest

Over the past two decades, several fungal outbreaks have occurred, including the high-profile 'Vancouver Island' and 'Pacific Northwest' outbreaks, caused by Cryptococcus gattii, which has affected hundreds of otherwise healthy humans and animals. Over the same time period, C. gattii was the cause of several additional case clusters at localities outside of the tropical and subtropical climate zones where the species normally occurs. In every case, the causative agent belongs to a previously rare genotype of C. gattii called AFLP6/VGII, but the origin of the outbreak clades remains enigmatic. Here we used phylogenetic and recombination analyses, based on AFLP and multiple MLST datasets, and coalescence gene genealogy to demonstrate that these outbreaks have arisen from a highly-recombining C. gattii population in the native rainforest of Northern Brazil. Thus the modern virulent C. gattii AFLP6/VGII outbreak lineages derived from mating events in South America and then dispersed to temperate regions where they cause serious infections in humans and animals.

Biogenic volatile organic compounds in tropical, temperate and boreal forest ecosystems

Biogene flüchtige organische Verbindungen (BFOV) werden in großen Mengen aus terrestrischenrnÖkosystemen, insbesondere aus Wäldern und Wiesen, in die untere Troposphäre emittiert. Austausch-rnFlüsse von BFOVs sind in der troposphärischen Chemie wichtig, weil sie eine bedeutende Rolle in derrnOzon- und Aerosolbildung haben. Trotzdem bleiben die zeitliche und räumliche Änderung der BFOVrnEmissionen und ihre Rolle in Bildung und Wachstum von Aerosolen ungewiss.rnDer Fokus dieser Arbeit liegt auf der in-situ Anwendung der Protonen Transfer ReaktionsrnMassenspektrometrie (PTR-MS) und der Messung von biogenen flüchtigen organischen Verbindungen inrnnordländischen, gemäßigten und tropischen Waldökosystemen während drei unterschiedlicherrnFeldmesskampagnen. Der Hauptvorteil der PTR-MS-Technik liegt in der hohen Messungsfrequenz,rnwodurch eine eventuelle Änderung in der Atmosphäre durch Transport, Vermischung und Chemiernonline beobachtet werden kann. Die PTR-MS-Messungen wurden zweimal am Boden aus und einmalrnvon einem Forschungsflugzug durchgeführt.rnIn Kapitel 3 werden die PTR-MS-Daten, gesammelt während der Flugmesskampagne über demrntropischen Regenwald, vorgelegt. Diese Studie zeigt den Belang der Grenzschichtdynamik für diernVerteilung von Spurengasen mittels eines eindimensionalen Säule - Chemie und KlimaModells (SCM).rnDer Tagesablauf von Isopren zeigte zwischen 14:00 und 16:15 Uhr lokaler Zeit einen Mittelwert vonrn5.4 ppbv auf der Höhe der Baumspitzen und von 3.3 ppbv über 300 m Höhe. Dies deutet darauf hin, dassrnsowohl der turbulente Austausch als auch die hohe Reaktionsfähigkeit von Isopren mit den OxidantienrnOH und Ozon eine wichtige Rolle spielen. Nach dem Ausgleich von chemischen Verlusten undrnEntrainment (Ein- und Ausmischung von Luft an der Grenzschicht), wurde ein Fluss vonrn8.4 mg Isopren m-2h-1 unter teilweise bewölkten Bedingungen für den tropischen Regenwald in derrnGuyanregion abgeschätzt. Dies entspricht einem täglichen Emissionsfluss von 28 mg Isopren prornQuadratmeter.rnIm Kapitel 4 werden die Messungen, welche auf einer Hügellage in gemäßigter Breite inrnsüddeutschland stattgefunden haben, diskutiert. Bei diesem Standort ist die Grenzschicht nachts unter diernStandorthöhe abgefallen, was den Einsatzort von Emissionen abgesondert hatte. Während diernGrenzschicht morgens wieder über die Höhe des Einsatzortes anstieg, konnten die eingeschlossenenrnnächtlichen Emissionen innerhalb der bodennahen Schicht beobachtet werden. Außerdem wurde einrndeutlicher Anstieg von flüchtigen organischen Verbindungen gemessen, wenn die Luftmassen überrnMünchen geführt wurden oder wenn verschmutzte Luftmassen aus dem Po-Tal über die Alpen nachrnDeutschland transportiert wurden. Daten von dieser Kampagne wurden genutzt, um die Änderungen inrndem Mischungsverhältnis der flüchtigen organischen Verbindungen, verbunden mit dem Durchfluss vonrnwarmen und kalten Wetterfronten sowie bei Regen zu untersuchen.rnIm Kapitel 5 werden PTR-MS-Messungen aus dem nördlichen Nadelwaldgürtel beschrieben. Starkernnächtliche Inversionen mit einer niedrigen Windgeschwindigkeit fingen die Emissionen vonrnnahegelegenen Kiefernwäldern und andere BFOV-Quellen ab, was zu hohen nächtlichen BFOVMischverhältnissenrnführte. Partikelereignisse wurden für Tag und Nacht detailliert analysiert. Diernnächtlichen Partikelereignisse erfolgten synchron mit starken extremen von Monoterpenen, obwohl dasrnzweite Ereignis Kernbildung einschloss und nicht mit Schwefelsäure korrelierte. Die MonoterpenrnMischungsverhältnisse von über 16 ppbv waren unerwartet hoch für diese Jahreszeit. NiedrigernWindgeschwindigkeiten und die Auswertung von Rückwärtstrajektorien deuten auf eine konzentrierternQuelle in der Nähe von Hyytiälä hin. Die optische Stereoisomerie von Monoterpenen hat bestätigt, dassrndie Quelle unnatürlich ist, da das Verhältnis von [(+)-α-pinen]/[(−)-α-pinen] viel höher ist als dasrnnatürliches Verhältnis der beiden Enantiomeren.

Springbrook : Challenges in developing a long-term, rainforest wireless sensor network

We describe the design, development and learnings from the first phase of a rainforest ecological sensor network at Springbrook - part of a World Heritage precinct in South East Queensland. This first phase is part of a major initiative to develop the capability to provide reliable, long-term monitoring of rainforest ecosystems. We focus in particular on our analysis around energy and communication challenges which need to be solved to allow for reliable, long-term deployments in these types of environments.

Predicting loss and fragmentation of habitat of the vulnerable subtropical rainforest tree Macadamia integrifolia with models developed from compiled ecological data

Habitat models are widely used in ecology, however there are relatively few studies of rare species, primarily because of a paucity of survey records and lack of robust means of assessing accuracy of modelled spatial predictions. We investigated the potential of compiled ecological data in developing habitat models for Macadamia integrifolia, a vulnerable mid-stratum tree endemic to lowland subtropical rainforests of southeast Queensland, Australia. We compared performance of two binomial models—Classification and Regression Trees (CART) and Generalised Additive Models (GAM)—with Maximum Entropy (MAXENT) models developed from (i) presence records and available absence data and (ii) developed using presence records and background data. The GAM model was the best performer across the range of evaluation measures employed, however all models were assessed as potentially useful for informing in situ conservation of M. integrifolia, A significant loss in the amount of M. integrifolia habitat has occurred (p < 0.05), with only 37% of former habitat (pre-clearing) remaining in 2003. Remnant patches are significantly smaller, have larger edge-to-area ratios and are more isolated from each other compared to pre-clearing configurations (p < 0.05). Whilst the network of suitable habitat patches is still largely intact, there are numerous smaller patches that are more isolated in the contemporary landscape compared with their connectedness before clearing. These results suggest that in situ conservation of M. integrifolia may be best achieved through a landscape approach that considers the relative contribution of small remnant habitat fragments to the species as a whole, as facilitating connectivity among the entire network of habitat patches.