Variation in Species Distribution Pattern and Dominance with Altitude and Aspect of Garhwal Himalayan Oak Forest

2019 ◽  
Vol 38 (1) ◽  
pp. 15
Author(s):  
Vikaspal Singh ◽  
D.S. Chauhan ◽  
S. Dasgupta
Keyword(s):  
Distribution Pattern ◽  
Species Distribution ◽  
Oak Forest

scholarly journals Invasive Plant Species Distribution Is Structured by Soil and Habitat Type in the City Landscape

Plants ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 773
Author(s):  
Ilona Szumańska ◽  
Sandra Lubińska-Mielińska ◽  
Dariusz Kamiński ◽  
Lucjan Rutkowski ◽  
Andrzej Nienartowicz ◽  
...  
Keyword(s):  
Distribution Pattern ◽  
Species Distribution ◽  
Human Activities ◽  
Invasive Plant ◽  
Habitat Type ◽  
Permanent Plots ◽  
Human Land Use ◽  
And Migration ◽  
Migration Pathways ◽  
The City

Invasive alien species (IAS) is a global problem that largely relates to human activities and human settlements. To prevent the further spread of IAS, we first need to know their pattern of distribution, to determine which constitutes the greatest threat, and understand which habitats and migration pathways they prefer. Our research aimed to identify the main vectors and distribution pattern of IAS of plants in the city environment. We checked the relations between species distribution and such environmental factors as urban soil type and habitat type. We applied data on IAS occurrence (collected in the period 1973–2015) in 515 permanent plots with dimensions of 0.5 × 0.5 km and analyzed by direct ordination methods. In total, we recorded 66 IAS. We found a 27% variance in the IAS distribution pattern, which can be explained by statistically significant soil and habitat types. The most important for species distribution were: river and alluvial soils, forests and related rusty soils, and places of intensive human activities, including areas of urbisols and industriosols. Our results provide details that can inform local efforts for the management and control of invasive species, and they provide evidence of the different associations between natural patterns and human land use.

scholarly journals Distribution Pattern of Gymnosperms’ Richness in Nepal: Effect of Environmental Constrains along Elevational Gradients

Plants ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 625
Author(s):  
Bikram Pandey ◽  
Nirdesh Nepal ◽  
Salina Tripathi ◽  
Kaiwen Pan ◽  
Mohammed A. Dakhil ◽  
...  
Keyword(s):  
Species Richness ◽  
Distribution Pattern ◽  
Species Distribution ◽  
Environmental Variables ◽  
Environmental Indicators ◽  
Climatic Variables ◽  
Elevation Gradients ◽  
Hypothesis Model ◽  
Richness Pattern ◽  
Richness Patterns

Understanding the pattern of species distribution and the underlying mechanism is essential for conservation planning. Several climatic variables determine the species diversity, and the dependency of species on climate motivates ecologists and bio-geographers to explain the richness patterns along with elevation and environmental correlates. We used interpolated elevational distribution data to examine the relative importance of climatic variables in determining the species richness pattern of 26 species of gymnosperms in the longest elevation gradients in the world. Thirteen environmental variables were divided into three predictors set representing each hypothesis model (energy-water, physical-tolerance, and climatic-seasonality); to explain the species richness pattern of gymnosperms along the elevational gradient. We performed generalized linear models and variation partitioning to evaluate the relevant role of environmental variables on species richness patterns. Our findings showed that the gymnosperms’ richness formed a hump-shaped distribution pattern. The individual effect of energy-water predictor set was identified as the primary determinant of species richness. While, the joint effects of energy-water and physical-tolerance predictors have explained highest variations in gymnosperm distribution. The multiple environmental indicators are essential drivers of species distribution and have direct implications in understanding the effect of climate change on the species richness pattern.

scholarly journals ESTRUTURA HORIZONTAL DE UM TRECHO DE FLORESTA OMBRÓFILA DENSA DAS TERRAS BAIXAS NA RESERVA BIOLÓGICA DE SOORETAMA, LINHARES, ES

FLORESTA ◽  
2011 ◽  
Vol 41 (2) ◽  
Author(s):  
Alessandro de Paula ◽  
João Juares Soares
Keyword(s):  
Spatial Distribution ◽  
Distribution Pattern ◽  
Species Distribution ◽  
Ecological Groups ◽  
Horizontal Structure ◽  
Shannon’S Index ◽  
Dense Forest ◽  
Ombrophilous Forest ◽  
Dense Ombrophilous Forest ◽  
Biological Reserve

Este trabalho teve como objetivo analisar a estrutura fitossociológica horizontal de um trecho da vegetação arbórea de uma floresta de tabuleiro. Foi realizada uma amostragem fitossociológica em 100 parcelas contíguas de 10 x 10 m, sendo amostrados os indivíduos com PAP ≥ 15 cm. Construiu-se a distribuição diamétrica e estimou-se o padrão de distribuição espacial das espécies. Foram amostrados 1519 indivíduos, distribuídos entre 265 espécies, 138 gêneros e 44 famílias. O índice de Shannon (H’) estimado foi de 4,87 nats/ind. As espécies com os maiores VI foram Rinorea bahiensis (Moric.) Kuntze, Eriotheca macrophylla (K. Schum.) A. Robyns e Sterculia speciosa K. Schum. Em relação aos grupos ecológicos, as secundárias tardias obtiveram mais que o dobro do VC e VI das secundárias iniciais. A distribuição diamétrica apresentada pelas pioneiras foi truncada, sendo que a das secundárias iniciais foi ampla. A predominância de espécies tolerantes ao sombreamento nos estágios iniciais de crescimento reforça a ideia de que o estádio sucessional encontra-se avançado. Foram encontradas 10 espécies com padrão de distribuição espacial agregado e 29 aleatório.Palavras-chave:Fitossociologia; estrutura horizontal; Floresta Ombrófila Densa; floresta de tabuleiro; floresta atlântica. AbstractHorizontal structure of Ombrophilous dense forest of lowlands in Sooretama Biological Reserve, Linhares. This work aimed to analyze horizontal structure of arboreal vegetation from a “tableland” forest. A phytosociological sample was carried out on 100 contiguous plots of 10 X 10 meters. We sampled the individuals with PBH ≥ 15 cm, built up the diametric distribution and estimated spatial species distribution pattern. We sampled 1519 individuals, which were distributed into 265 species, 138 genera and 44 families. Shannon’s Index (H’) was estimated at 4.87 nats/ind. Species with the highest IV were Rinorea bahiensis (Moric.) Kuntze, Eriotheca macrophylla (K. Schum.) A. Robyns and Sterculia speciosa K. Schum. In relation to ecological groups, the late secondary species obtained CV and IV, twice as much as the early secondary ones. Pioneers presented truncated diametric distribution, as long as the early secondary had a broader one. Shadow tolerant species predominance reinforces that successional stadium is advanced. It had been found 10 species with aggregated spatial distribution and 29 random ones.Keywords:              Phytosociology; horizontal structure; Dense Ombrophilous Forest; tabuleiro forest; atlantic forest.

scholarly journals Distribution pattern and habitat preference of barking deer (Muntiacus muntjac Zimmermann) in Nagarjun forest, Kathmandu

1970 ◽  
Vol 4 (6) ◽  
pp. 70-74 ◽  
Author(s):  
Ajaya Nagarkoti ◽  
Tej Bahadur Thapa
Keyword(s):  
Distribution Pattern ◽  
Key Words ◽  
Habitat Preference ◽  
Rainy Season ◽  
Distribution Patterns ◽  
Pine Forest ◽  
Oak Forest ◽  
Schima Wallichii

The distribution pattern and habitat preference of barking deer (Muntiacus muntjac Zimmermann) were analyzed during spring and rainy seasons of 2005 in Nagarjun Forest, Kathmandu. A total of 14 observations (seven males and seven females), 247 pellets and 118 footprints of barking deer were recorded in the spring and 14 observations (nine males and five females), 151 pellets and 140 footprints were recorded during the rainy season. The result showed uneven or clumped distribution patterns for deer in both spring (S2√X = 331.03 > 1; Χ² = 331.02, p = 0.01) and rainy season (S2√X = 233.48 > 1; Χ² = 233.48, p = 0.01). Among four types of habitats (Schima wallichii forest, mixed broadleaved forest, pine forest and dry oak forest), the mixed broadleaved forest was much preferred in spring (RPI = 0.81) and pine forest during the rainy season (RPI = 0.15). Key words: Barking deer, Muntiacus muntjac, distribution, habitat preference, Nagarjun forest, Nepal Himalayan Journal of Sciences Vol.4(6) 2007 p.70-74

Ecology and species distribution pattern of Soldanella sect. Soldanella (Primulaceae) within vegetation types in the Carpathians and the adjacent mountains

Biologia ◽  
2019 ◽  
Vol 74 (7) ◽  
pp. 733-750 ◽  
Author(s):  
Milan Valachovič ◽  
Eliška Štubňová ◽  
Dušan Senko ◽  
Judita Kochjarová ◽  
Gheorghe Coldea
Keyword(s):  
Distribution Pattern ◽  
Species Distribution ◽  
Vegetation Types ◽  
The Carpathians

scholarly journals Advantage and Disadvantage of Global and Local Climate Datasets on Modeling Species Distribution at Continental and Landscape Scales

2021 ◽  
Author(s):  
Chi-Cheng Liao ◽  
Chi-Ru CHANG ◽  
Yi-Huey CHEN
Keyword(s):  
Endangered Species ◽  
Distribution Pattern ◽  
Species Distribution ◽  
Landscape Scale ◽  
Distribution Range ◽  
Lapse Rate ◽  
Local Climate ◽  
Continental Scale ◽  
Landscape Scales ◽  
Global And Local

Abstract Species distribution model based on global and local climate datasets were hypothesized to have advantages on projecting distribution range at continental and landscape scales, respectively. Random Forest (RF) and principle components analysis (PCA) aimed to project potential distribution range and to construct climate space of Bretschneidera sinensis in continental East Asia (CEA) and northern Taiwan (NTWN) based on the WorldClim and local climate datasets. Geographical extent of the endangered species at continental scale was available to be projected by RF based on the WorldClim dataset, whereas isolation and fragmentation of natural habitat had not been presented by the projection map in CEA. At landscape scale, projection map of RF in NTWN based on the WorldClim dataset presented gridded distribution far from empirical distribution pattern, while that based on local climate dataset presented a distribution pattern relevant to elevation and topography. PCA had revealed climate differentiation between continental and island populations. Evidently, local climate dataset is essential for identifying ecological adaptation of island population at geographical margin of the endangered species. Meteorological data interpolated and altitudinal adjusted by empirical elevation lapse rate calculated for each watershed had captured climate heterogeneity in mountainous area, whereas it generated huge number of gridded cells that is not available to expand this method to continental region. Global climate dataset has the advantage on modeling geographical extent of plant species at continental scale, while local climate dataset used for modelling species distribution enables conservationists to delineate reliable conservation areas in fragmented natural habitats at landscape scale.

scholarly journals Spatial Distribution Pattern of Longhorn Beetle Assemblages (Coleoptera: Cerambycidae) in Mongolian Oak (Quercus Mongolica) Forests in Changbai Mountain, Jilin Province, China

2021 ◽  
Author(s):  
Shengdong Liu ◽  
Xin Meng ◽  
Yan Li ◽  
Qingfan Meng ◽  
Hongri Zhao ◽  
...  
Keyword(s):  
Distribution Pattern ◽  
Changbai Mountain ◽  
Oak Forest ◽  
Northern Slope ◽  
Southern Slope ◽  
Longhorn Beetles ◽  
Longhorn Beetle ◽  
Beetle Assemblages ◽  
Mongolian Oak ◽  
Vertical Height

Abstract Background: Mongolian oak forest is a deciduous secondary forest with a large distribution area in the Changbai Mountain area. The majority of longhorn beetle species feed on forest resources, The number of some species is also large, which has a potential risk for forest health, and have even caused serious damage to forests. Clarifying the distribution pattern of longhorn beetles in Mongolian oak forests is of great scientific value for the monitoring and control of some pest populations. Methods: 2018 and 2020, flying interception traps were used to continuously collect longhorn samples from the canopy and bottom of the ridge, southern slope, and northern slope of the oak forest in Changbai Mountain, and the effects of topographic conditions on the spatial distribution pattern of longhorn beetles were analyzed. Results: A total of 4090 individuals, 56 species, and 6 subfamilies of longhorn beetles were collected in two years. The number of species and individuals of Cerambycinae and Lamiinae were the highest, and the number of Massicus raddei (Blessig), Moechotypa diphysis (Pascoe), Mesosa myopsmyops (Dalman), and Prionus insularis Motschulsky was relatively abundant. Topographic conditions did not affect the vertical distribution of richness and abundance of longhorn beetles in the forest, but topographic conditions and vertical height independently affected the composition and quantity of the beetle assemblages. The community composition of longhorn beetles in the forest bottom and canopy was significantly different, and the richness and abundance were higher in the canopy under good light conditions. Cerambycinae and Lamiinae preferred to be active in the canopy, Prioninae preferred to be active in the forest bottom, and Lepturinae did not show any difference in the bottom and the canopy. Conclusions: The composition of the longhorn beetle community on the ridge was significantly different from that on the southern slope and the northern slope, and the richness and abundance on the ridge and the southern slope were higher than those on the northern slope. Different species had different preferences for topographical conditions and vertical height, which indicated the adaptability of longhorn beetles in the forest.

scholarly journals Advantage and Disadvantage of Global and Local Climate Datasets on Modeling Species Distribution at Continental and Landscape Scales

2021 ◽  
Author(s):  
Chi-Cheng Liao ◽  
Chi-Ru CHANG ◽  
Yi-Huey CHEN
Keyword(s):  
Endangered Species ◽  
Distribution Pattern ◽  
Species Distribution ◽  
Potential Distribution ◽  
Landscape Scale ◽  
Distribution Range ◽  
Local Climate ◽  
Continental Scale ◽  
Landscape Scales ◽  
Global And Local

Abstract Species distribution model based on global and local climate datasets were hypothesized to have advantages on projecting distribution range at continental and landscape scales, respectively. Random Forest (RF) and principle components analysis (PCA) aimed to project potential distribution range and to construct climate space of Bretschneidera sinensis in continental East Asia (CEA) and northern Taiwan (NTWN) based on the WorldClim and local climate datasets. Geographical extent of the endangered species at continental scale was available to be projected by RF based on the WorldClim dataset, whereas RF had projected bias map that presented gridded squares at edges of the potential distribution range. At landscape scale, projection map of RF in NTWN based on the WorldClim dataset presented gridded distribution far from empirical distribution pattern, while that based on local climate dataset presented a distribution pattern relevant to elevation and topography. PCA had revealed climate differentiation between continental and island populations. Evidently, local climate dataset had reflected climate heterogeneity at landscape scale and is essential for identifying local adaptation of island population at geographical margin of the endangered species. However, huge number of gridded cells generated from local climate interpolation method for projecting potential distribution range at landscape scale is not available to expand geographical extent to continental region. Global climate dataset has the advantage on modeling geographical extent of plant species at continental scale, while local climate dataset used for modelling species distribution enables conservationists to delineate reliable conservation areas in fragmented natural habitats at landscape scale.

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