scholarly journals Distribution and diversity of myxomycetes in Tiantangzhai National Forest Park, China

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e12059
Author(s):  
Min Li ◽  
Gaowei Wang ◽  
Yang Gao ◽  
Mingzhu Dou ◽  
Ziqi Wang ◽  
...  

Although myxomycetes are ubiquitous in terrestrial ecosystems, studies on their distribution and diversity in subtropical humid forests are still lacking. Field collections and moist chamber cultures were conducted from May to October within a two-year period in the Tiantangzhai National Forest Park of China. A total of 1,492 records representing 73 species belonging to 26 genera were obtained, of which 243 records/37 species were from field collections, and 1,249 records/52 species were from moist chamber cultures. Among the specimens obtained by culturing, 896 records/38 species and 353 records/37 species were obtained from living bark and ground litter, respectively. ANOVA showed that the sampling months had significant impacts on collection of myxomycetes from field and those that inhabit litter. An LEfSe analysis indicated that Arcyria was significantly abundant in August, while Stemonitis and Physarum were more abundant in July when collected from field. An RDA analysis showed that temperature was the main factor that affected the litter-inhabiting myxomycetes. The ANOVA indicated that forest type was the significant factor for bark-inhabiting myxomycetes. Diderma effusum was primarily obtained from mixed forests, while Clastoderma debaryanum and Colloderma oculatum were more common in coniferous forests. The RDA analysis indicated that the vegetation, pH, water retention, and elevation were the primary factors that affected the bark-inhabiting myxomycetes.

2021 ◽  
Vol 13 (10) ◽  
pp. 1863
Author(s):  
Caileigh Shoot ◽  
Hans-Erik Andersen ◽  
L. Monika Moskal ◽  
Chad Babcock ◽  
Bruce D. Cook ◽  
...  

Forest structure and composition regulate a range of ecosystem services, including biodiversity, water and nutrient cycling, and wood volume for resource extraction. Forest type is an important metric measured in the US Forest Service Forest Inventory and Analysis (FIA) program, the national forest inventory of the USA. Forest type information can be used to quantify carbon and other forest resources within specific domains to support ecological analysis and forest management decisions, such as managing for disease and pests. In this study, we developed a methodology that uses a combination of airborne hyperspectral and lidar data to map FIA-defined forest type between sparsely sampled FIA plot data collected in interior Alaska. To determine the best classification algorithm and remote sensing data for this task, five classification algorithms were tested with six different combinations of raw hyperspectral data, hyperspectral vegetation indices, and lidar-derived canopy and topography metrics. Models were trained using forest type information from 632 FIA subplots collected in interior Alaska. Of the thirty model and input combinations tested, the random forest classification algorithm with hyperspectral vegetation indices and lidar-derived topography and canopy height metrics had the highest accuracy (78% overall accuracy). This study supports random forest as a powerful classifier for natural resource data. It also demonstrates the benefits from combining both structural (lidar) and spectral (imagery) data for forest type classification.


1976 ◽  
Vol 54 (5) ◽  
pp. 620-627 ◽  
Author(s):  
J. George Gleich ◽  
Frederick F. Gilbert

Terrestrial gastropods were collected in central Maine from June to November 1971 to study their distribution, relative abundance, and habitat preferences. Gastropods were widespread, but not abundant. Thirty-five percent of the 1626 gastropods collected were slugs. Thirty-seven snail species, including eight slug species, were found. Discus cronkhitei and Zonitoides arboreus were the most commonly collected gastropods: Deroceras reliculatum and Pallifera dorsalis were the most common slugs. Snails (excluding slugs) were more abundant in the northwestern portion of central Maine, whereas slugs were more abundant in the southeastern portion. Slugs were significantly less abundant in coniferous forests than in deciduous or mixed forests, but snail numbers (excluding slugs) in the three forest types were not significantly different.


2009 ◽  
Vol 20 (4) ◽  
pp. 362-366 ◽  
Author(s):  
Ying-zi Wang ◽  
Wei Hong ◽  
Cheng-zhen Wu ◽  
Han Lin ◽  
Hai-lan Fan ◽  
...  

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