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opencc-by-4.0Jun 2023View details →

Radial growth responses of Larix gmelinii to drought events in dry and wet areas of northern temperate forest

This is the dataset used in the paper "Radial growth responses of Larix gmelinii to drought events in dry and wet areas of northern temperate forest". The dataset contains treering chronology of larch (Larix gmelinii) and climatic data in the Altai Mountains (dry area) and Changbai Mountains (wet area).

opencc-by-4.0Nov 2024View details →

Biogeochemical evidence raises questions on the longevity of warming-induced growth enhancements in wet boreal forests

Dataset comprised of nutrient content, fluxes, and stocks (C, N, and P) from soil and litterfall samples collected from terrestrial sites across the Newfoundland and Labrador  Boreal Ecosystem Latidudinal Transect (NL-BELT).

opennotspecifiedAug 2011View details →

Distribution. Wet Zone of Sri Lanka, from Sinharaja Forest Reserve through the lowlands around Colombo north to Katagamuwa on the border of the Dry Zone at 6° 24' N, 81° 25' E, and into the highlands at least to the Kandy District. in Tragulidae

Distribution. Wet Zone of Sri Lanka, from Sinharaja Forest Reserve through the lowlands around Colombo north to Katagamuwa on the border of the Dry Zone at 6° 24' N, 81° 25' E, and into the highlands at least to the Kandy District.

opennotspecifiedNov 2017View details →

Deccan region, Madras, India. Genus Vandeleuria is masculine, so widely used specific name oleracea has been changed for gender agreement. Vandeleuria oleraceusis possibly a composite of species. Polytypic, but subspecific taxonomy requires reassessment. Distribution. Widespread in S Asia (India, Nepal, Bhutan, Bangladesh, and Sri Lan-ka), S China (W & S Yunnan), and mainland SE Asia N of the Isthmus of Kra. Descriptive notes. Head-body 68 mm, tail 105 mm, ear 13 mm, hindfoot 17 mm; weight 10 g. The Indomalayan Long-tailed Climbing Mouse is small, with flat nail on outer finger and outertoe; tail is slender, brown, twice as long as head-body length, and lacks distal tuft. Dorsal pelageis silky and salmon in color; venter is white, with fulvous hues. Habitat. Tall cane and tangled vines in primary and secondary forest such as bamboo forest, moist deciduous forest, temperate forests, montane wet zone, and disturbed secondary forests, and perhaps agricultural areas at elevations of 150-1500 m. Food and Feeding. Indomalayan [Long-tailed Climbing Mice eat fruits, buds, and flowers. Breeding. Litters of the Indomalayan Long-tailed Climbing Mouse have 3-6 young. Activity patterns. Indomalayan Long-tailed Climbing Mice are arboreal and nocturnal, although one individual was caught duringthe day. Movements, Home range and Social organization. Indomalayan Long-tailed Climbing Mice build nests in tall bushes or cane to rear their young. Status and Conservation. Classified as Least Concern on The IUCN Red Last (as V. olacea). The Indomalayan Long-tailed Climbing Mouse occurs in several habitats and a wide distribution that includes national parks. Further taxonomical studies are required to assess conservation status ofthis potentially diverse species complex. Bibliography. Corbet & Hill (1992), Dang Huy Huynh et al. (1994), Ellerman (1941), Marshall (1977b), Musser & Carleton (2005), Osgood (1932), Phillips (1980), Wang Yingxiang (2003). in Muridae

Deccan region, Madras, India. Genus Vandeleuria is masculine, so widely used specific name oleracea has been changed for gender agreement. Vandeleuria oleraceusis possibly a composite of species. Polytypic, but subspecific taxonomy requires reassessment. Distribution. Widespread in S Asia (India, Nepal, Bhutan, Bangladesh, and Sri Lan-ka), S China (W & S Yunnan), and mainland SE Asia N of the Isthmus of Kra. Descriptive notes. Head-body 68 mm, tail 105 mm, ear 13 mm, hindfoot 17 mm; weight 10 g. The Indomalayan Long-tailed Climbing Mouse is small, with flat nail on outer finger and outertoe; tail is slender, brown, twice as long as head-body length, and lacks distal tuft. Dorsal pelageis silky and salmon in color; venter is white, with fulvous hues. Habitat. Tall cane and tangled vines in primary and secondary forest such as bamboo forest, moist deciduous forest, temperate forests, montane wet zone, and disturbed secondary forests, and perhaps agricultural areas at elevations of 150-1500 m. Food and Feeding. Indomalayan [Long-tailed Climbing Mice eat fruits, buds, and flowers. Breeding. Litters of the Indomalayan Long-tailed Climbing Mouse have 3-6 young. Activity patterns. Indomalayan Long-tailed Climbing Mice are arboreal and nocturnal, although one individual was caught duringthe day. Movements, Home range and Social organization. Indomalayan Long-tailed Climbing Mice build nests in tall bushes or cane to rear their young. Status and Conservation. Classified as Least Concern on The IUCN Red Last (as V. olacea). The Indomalayan Long-tailed Climbing Mouse occurs in several habitats and a wide distribution that includes national parks. Further taxonomical studies are required to assess conservation status ofthis potentially diverse species complex. Bibliography. Corbet & Hill (1992), Dang Huy Huynh et al. (1994), Ellerman (1941), Marshall (1977b), Musser & Carleton (2005), Osgood (1932), Phillips (1980), Wang Yingxiang (2003).

opencc-zeroDec 2017View details →

Data from: Quantifying floristic and structural forest maturity: an attribute-based method for wet eucalypt forests

1. Maintaining developmental heterogeneity of ecological communities within landscapes is crucial for sustainable native forest management. Consequently, methods to assess forest maturity (i.e. the degree to which the forest contains attributes and supports processes characteristic of late-successional forests) are valuable for making management decisions. However, no consistent, pragmatic method to quantify maturity that incorporates multiple ecosystem elements is available for many forest systems, including Australian wet eucalypt forests. 2. We draw upon forest community dynamics theory to develop a method to quantify maturity based on forest attributes, and use this method to create two metrics of wet eucalypt forest floristic and structural maturity. We then test the ability of remotely-sensed and field-collected variables to predict these metrics. 3. Both the floristic and structural maturity metrics performed well at capturing underlying trends of forest maturation. Remotely-sensed LiDAR (Light Detection and Ranging) and photo-interpretation data provided estimates of moderate accuracy for both floristic and structural maturity (R2 = 0.57-0.77). Field variables that are relatively efficient and accurate to measure provided greater model accuracy (R2 = 0.73-0.85). Including more complex field variables increased model accuracy to high levels (R2 = 0.93). Therefore, while maturity predicted from remote-sensing data enables a useful and accessible large-scale maturity measure, field indices would provide a more accurate means of assessing maturity at the local stand level. 4. Synthesis and applications: The metrics developed in this study provide a powerful tool for undertaking consistent assessments of wet eucalypt forest maturity. This assessment tool could improve forest management by providing information to optimise practices such as prioritising stands for retention or harvesting, determining the effectiveness of restoration or management practices, and monitoring changes in maturity over time. The method could be adapted to any forest system that undergoes well-defined directional development.

FIGURE 5. A in Lichens and bryophytes in Tasmanian wet eucalypt forest: floristics, conservation and ecology

FIGURE 5. A typical view of the forest, 12 months after the clearfell, burn and sow treatment has been applied (Photo: J.Jarman).

FIGURE 1. A in Lichens and bryophytes in Tasmanian wet eucalypt forest: floristics, conservation and ecology

FIGURE 1. A forest edge, showing the typical layered structure of the vegetation. Eucalypts up to about 50 m tall form a canopy over a dense layer of secondary trees about 18–25 m tall. A layer, 1–3 m tall and dominated by the large rosette sedge Gahnia grandis and a vigorous scrambling shrub Bauera rubioides, is present in the understorey (Photo: J.Jarman).

FIGURE 2 in Lichens and bryophytes in Tasmanian wet eucalypt forest: floristics, conservation and ecology

FIGURE 2. The forest interior in a poorly drained site, where the flakey-barked tree Melaleuca squarrosa dominates the low tree layer. An opening in the Gahnia-dominated layer provides an opportunity for shade-loving cryptogams to colonise the logs and ground surface (Photo: J.Jarman).

FIGURE 6. A in Lichens and bryophytes in Tasmanian wet eucalypt forest: floristics, conservation and ecology

FIGURE 6. A comparison of Figures 5 and 6, taken from the same place, demonstrates the dynamic nature of the vegetation in the early years after harvesting. Five to six years after the clearfell, burn and sow treatment, the large stump in Figure 5 is completely obscured by the vigorous growth of young eucalypts and Gahnia (Photo: J.Jarman).

FIGURE 4 in Lichens and bryophytes in Tasmanian wet eucalypt forest: floristics, conservation and ecology

FIGURE 4. The forest interior, with scattered large fibrous-barked eucalypts interspersed among the smaller understorey trees (Photo: J.Jarman).

FIGURE 3 in Lichens and bryophytes in Tasmanian wet eucalypt forest: floristics, conservation and ecology

FIGURE 3. The forest interior at a site with moderate drainage, where the smooth-barked tree Nematolepis squamea is common and the shrub Bauera dominates the understorey. A large rock in the background provides a substrate for cryptogams raised above the dense shrubbery (Photo: J.Jarman).

opennotspecifiedMar 2016View details →

Fig. 1 in Comparison of the Arboreal Dung Beetles (Coleoptera: Scarabaeidae: Scarabaeinae) of the Wet and Dry Forests of the Western Ghats, India

Fig. 1. Arboreal dung beetles in the Western Ghats, India. a) Caccobius meridionalis, b) Caccobius gallinus,

opencc-zeroSep 2021View details →

Coarse woody debris density and carbon concentration by decay classes in mixed montane wet tropical forests (Dataset)

This dataset contains data from a study considering the relationship between decay class, wood density and C content of CWD in old-growth mixed monsoon montane tropical forests in Vietnam based on the inventory of 359 CWD pieces. The CWD inventories were conducted on forty one (3-4 per site) 50 m long and 4 m wide transects. The first dataset for contains site description, plot and transect numbers with geographical coordinates. All CWD pieces of more than 6 cm in diameter were inventoried. The dataset contains position of CWD: stumps, standing dead trees (snags), lying logs, leaning logs and branches, diameter, proportion consumed by termites, decay class, bulk density and moisture of wood and mass loss. The second dataset contains the data on the wood density of tree species present in the study area according to the global database compiled by Zanne et al. (2009).

opencc-zeroOct 2021View details →

Timing is everything: Acoustic niche partitioning in two tropical wet forest bird communities

When acoustic signals sent from individuals overlap in frequency and time, acoustic interference and signal masking may occur. Under the acoustic niche hypothesis (ANH), signaling behavior has evolved to partition acoustic space and minimize overlap with other calling individuals through selection on signal structure and/or the sender's ability to adjust the timing of signals. Alternately, under the acoustic clustering hypothesis, there is potential benefit to convergence and synchronization of the structural or temporal characteristics of signals in the avian community, and organisms produce signals that overlap more than would be expected by chance. Interactive communication networks may also occur, where species living together are more likely to have songs with convergent spectral and or temporal characteristics. In this study, we examine the fine-scale use of acoustic space in montane tropical wet forest bird communities in Costa Rica and Hawai'i. At multiple recording stations in each community, we identified the species associated with each recorded signal, measured observed signal overlap, and used null models to generate random distributions of expected signal overlap. We then compared observed vs. expected signal overlap to test predictions of the acoustic niche and acoustic clustering hypotheses. We found a high degree of overlap in the signal characteristics (frequency range) of species in both Costa Rica and Hawai'i, however, as predicted under ANH, species significantly reduced observed overlap relative to the random distribution through temporal partitioning. There was little support for acoustic clustering or the prediction of the network hypothesis that species segregate across the landscape based on the frequency range of their vocalizations. These findings constitute strong support that there is competition for acoustic space in these signaling communities, and this has resulted primarily in temporal partitioning of the soundscape.