Multiscale factors control community and species distribution in mountain peatlands

Botany ◽  
2011 ◽  
Vol 89 (10) ◽  
pp. 689-713 ◽  
Author(s):  
Joanna M. Lemly ◽  
David J. Cooper
Keyword(s):  
Species Distribution ◽  
Mountainous Regions ◽  
Hierarchical Agglomerative Cluster ◽  
Geothermal Activity ◽  
Distinct Category ◽  
Control Community ◽  
Partial Canonical Correspondence Analysis ◽  
Variation Explained ◽  
The Relationship ◽  
Mountain Peatlands

We studied the vegetation of 166 fens in Yellowstone National Park, USA, to determine the relationship between species distribution in mountain peatlands and regional-, landscape-, and local-scale environmental variables. Plant communities were identified through hierarchical agglomerative cluster analysis, patterns in species distribution were explored using nonmetric multidimensional scaling, and the relative importance of variables was assessed though partial canonical correspondence analysis. Five major bedrock types influenced groundwater feeding fens: three volcanic types, a glacial till complex, and rock altered by acidic geothermal activity. Ionic concentrations generally increased with pH, but acidic geothermal fens had very low pH and high electrical conductivity. Bryophyte distribution was controlled by groundwater chemistry, while vascular plants responded to a broader range of variables. When partitioned by spatial scale, landscape variables accounted for >60% of the variation explained. When partitioned categorically, geochemical and topographic variables were more important than geographic factors. For fens in mountainous regions, the primary gradient is site-level water chemistry, which is strongly linked to regional bedrock geology. Site- and stand-level topography represent a secondary gradient. Most mountain fens fit within the established poor–rich gradient; however, geochemical acid production creates a distinct category outside the conventional paradigm.

The relationship between scale and predictor variables in species distribution models applied to conservation

2021 ◽  
Author(s):  
M. R. Oliveira ◽  
W. M. Tomas ◽  
N. M. R. Guedes ◽  
A.T. Peterson ◽  
J. K. Szabo ◽  
...  
Keyword(s):  
Species Distribution ◽  
Species Distribution Models ◽  
Predictor Variables ◽  
Distribution Models ◽  
The Relationship

On the relationship between the greenhouse effect, atmospheric photochemistry, and species distribution

1983 ◽  
Vol 88 (C2) ◽  
pp. 1401 ◽  
Author(s):  
Linwood B. Callis ◽  
Murali Natarajan ◽  
Robert E. Boughner
Keyword(s):  
Species Distribution ◽  
Greenhouse Effect ◽  
Atmospheric Photochemistry ◽  
The Relationship

scholarly journals Evaluating ecological uniqueness over broad spatial extents using species distribution modelling

2021 ◽  
Author(s):  
Gabriel Dansereau ◽  
Pierre Legendre ◽  
Timothée Poisot
Keyword(s):  
North America ◽  
Species Distribution ◽  
Rare Species ◽  
Beta Diversity ◽  
Species Distribution Modelling ◽  
Distribution Models ◽  
Science Data ◽  
Distribution Modelling ◽  
Ecological Uniqueness ◽  
The Relationship

Aim: Local contributions to beta diversity (LCBD) can be used to identify sites with high ecological uniqueness and exceptional species composition within a region of interest. Yet, these indices are typically used on local or regional scales with relatively few sites, as they require information on complete community compositions difficult to acquire on larger scales. Here, we investigate how LCBD indices can be used to predict ecological uniqueness over broad spatial extents using species distribution modelling and citizen science data. Location: North America. Time period: 2000s. Major taxa studied: Parulidae. Methods: We used Bayesian additive regression trees (BARTs) to predict warbler species distributions in North America based on observations recorded in the eBird database. We then calculated LCBD indices for observed and predicted data and examined the site-wise difference using direct comparison, a spatial autocorrelation test, and generalized linear regression. We also investigated the relationship between LCBD values and species richness in different regions and at various spatial extents and the effect of the proportion of rare species on the relationship. Results: Our results showed that the relationship between richness and LCBD values varies according to the region and the spatial extent at which it is applied. It is also affected by the proportion of rare species in the community. Species distribution models provided highly correlated estimates with observed data, although spatially autocorrelated. Main conclusions: Sites identified as unique over broad spatial extents may vary according to the regional richness, total extent size, and the proportion of rare species. Species distribution modelling can be used to predict ecological uniqueness over broad spatial extents, which could help identify beta diversity hotspots and important targets for conservation purposes in unsampled locations.

scholarly journals Strictly protected species of hoverflies (Diptera: Syrphidae) in Serbia in the face of climate change

2018 ◽  
pp. 53-62 ◽  
Author(s):  
Marija Milicic ◽  
Marina Jankovic ◽  
Dubravka Milic ◽  
Snezana Radenkovic ◽  
Ante Vujic
Keyword(s):  
Climate Change ◽  
Global Warming ◽  
Species Distribution ◽  
Species Distribution Modelling ◽  
Protected Species ◽  
Southeastern Part ◽  
Distribution Modelling ◽  
Mountainous Regions ◽  
The Face ◽  
Intensive Land Use

Climate change is happening. Due to a spectrum of possible conse?quences, numerous studies examine the effects of global warming on species distribution. This study examines the effects of changing climate on distribution of selected strictly protected species of hoverflies in Serbia, by using species distribution modelling. Ten species were included in the analysis. Three species were predicted to lose a part of their range across time, while for seven species the range expansion was predicted. Both in the present time and in the future, mountainous regions have the highest species richness, such as Golija, Kopaonik, and Prokletije in the western Serbia, and mountains Stara Planina, Besna Kobila, Suva Planina, and Dukat in the southeastern part of the country. However, beside climate change, there are several other factors that might influence the distribution of strictly pro?tected hoverflies in Serbia, such as intensive land use and degradation of habitats. Addition?ally, global warming also affects flowering plants that syrphids are dependent on, which could present another obstacle to their future range expansions. These results can contribute to planning future steps for the conservation of strictly protected hoverfly species.

scholarly journals Consistency and overfitting of multi-omics methods on experimental data

2019 ◽  
Vol 21 (4) ◽  
pp. 1277-1284 ◽  
Author(s):  
Sean D McCabe ◽  
Dan-Yu Lin ◽  
Michael I Love
Keyword(s):  
Experimental Data ◽  
Factor Analysis ◽  
Canonical Correlation ◽  
Cross Validation ◽  
Small Sample Size ◽  
R Package ◽  
Small Sample ◽  
Ready Availability ◽  
Variation Explained ◽  
The Relationship

Abstract Knowledge on the relationship between different biological modalities (RNA, chromatin, etc.) can help further our understanding of the processes through which biological components interact. The ready availability of multi-omics datasets has led to the development of numerous methods for identifying sources of common variation across biological modalities. However, evaluation of the performance of these methods, in terms of consistency, has been difficult because most methods are unsupervised. We present a comparison of sparse multiple canonical correlation analysis (Sparse mCCA), angle-based joint and individual variation explained (AJIVE) and multi-omics factor analysis (MOFA) using a cross-validation approach to assess overfitting and consistency. Both large and small-sample datasets were used to evaluate performance, and a permuted null dataset was used to identify overfitting through the application of our framework and approach. In the large-sample setting, we found that all methods demonstrated consistency and lack of overfitting; however, in the small-sample size setting, AJIVE provided the most stable results. We provide an R package so that our framework and approach can be applied to evaluate other methods and datasets.

On the relationship between species distribution‐abundance‐occurrence and species duration

2001 ◽  
Vol 15 (3) ◽  
pp. 251-259 ◽  
Author(s):  
Martin A. Buzas ◽  
Stephen J. Culver
Keyword(s):  
Species Distribution ◽  
The Relationship

scholarly journals Filling a gap in Andean Cat Leopardus jacobita (Cornalia, 1865) (Mammalia: Carnivora: Felidae) distribution range: new record in La Rioja province, Argentina

2020 ◽  
Vol 12 (2) ◽  
pp. 15276-15278
Author(s):  
Cintia Gisele Tellaeche ◽  
María de las Mercedes Guerisoli ◽  
Constanza Napolitano ◽  
Dante Luis Di Nucci ◽  
Juan Ignacio Reppucci
Keyword(s):  
Species Distribution ◽  
Genetic Information ◽  
New Record ◽  
Distribution Range ◽  
Evolutionarily Significant Units ◽  
La Rioja ◽  
The Relationship ◽  
Large Distribution

A pelt of an Andean Cat specimen was discovered in La Rioja Province, Argentina, a region with no previous data recorded, located in a large distribution gap between the two currently identified evolutionarily significant units (ESU).  This new record not only improves our knowledge about the species distribution but can also provide relevant genetic information for a better understanding of the relationship between the two ESU.

The relationship between altitudinal gradients, diversity, and body size in a dung beetle (Coleoptera: Scarabaeinae: Onthophagus) model system

2020 ◽  
pp. 33-43
Author(s):  
R.P. Salomão ◽  
A. Arriaga-Jiménez ◽  
B. Kohlmann
Keyword(s):  
Body Size ◽  
Dung Beetle ◽  
Model System ◽  
Temperature Gradients ◽  
Data Set ◽  
Altitudinal Gradients ◽  
Mountainous Regions ◽  
Tropical Mountain ◽  
Interspecific Variations ◽  
The Relationship

Mountainous regions represent an excellent model to test ecological hypotheses encompassing assemblage diversity and body traits of species. Among insects, there is no uniform body size pattern across temperature gradients, suggesting that processes controlling body size may differ among species. The aim of this study was to explore diversity and body size patterns of dung beetle species of the genus Onthophagus Latreille, 1802 across altitudinal gradients at two mountains in Mexico. Tropical mountain species were sampled from 2200 to 3400 m a.s.l. In both mountains, there was a decrease of richness and abundance of Onthophagus with increasing altitude. There were contrasting relationships between beetle body size and altitude, which varied depending on the data set analyzed. Furthermore, interspecific variations of body size were not related to the number of altitudinal bands recorded by each species. Species from high altitudes were also recorded at lower mountain altitudes, suggesting that diversity at the highest altitudes represents a subgroup of lowland diversity. This may indicate that the fauna inhabiting higher elevations could be the most eurytopic one. Here we present an example of an assemblage that partially contradicts Bergmann’s rule, with contrasting effects of altitude on dung beetle body size.

scholarly journals Using stochastic space-time models to map extreme precipitation in southern Portugal

2008 ◽  
Vol 8 (4) ◽  
pp. 763-773 ◽  
Author(s):  
A. C. Costa ◽  
R. Durão ◽  
M. J. Pereira ◽  
A. Soares
Keyword(s):  
Extreme Precipitation ◽  
Space Time ◽  
Rainfall Regime ◽  
The South ◽  
Local Data ◽  
Study Region ◽  
Mountainous Regions ◽  
Precipitation Total ◽  
Southern Portugal ◽  
The Relationship

Abstract. The topographic characteristics and spatial climatic diversity are significant in the South of continental Portugal where the rainfall regime is typically Mediterranean. Direct sequential cosimulation is proposed for mapping an extreme precipitation index in southern Portugal using elevation as auxiliary information. The analysed index (R5D) can be considered a flood indicator because it provides a measure of medium-term precipitation total. The methodology accounts for local data variability and incorporates space-time models that allow capturing long-term trends of extreme precipitation, and local changes in the relationship between elevation and extreme precipitation through time. Annual gridded datasets of the flood indicator are produced from 1940 to 1999 on 800 m×800 m grids by using the space-time relationship between elevation and the index. Uncertainty evaluations of the proposed scenarios are also produced for each year. The results indicate that the relationship between elevation and extreme precipitation varies locally and has decreased through time over the study region. In wetter years the flood indicator exhibits the highest values in mountainous regions of the South, while in drier years the spatial pattern of extreme precipitation has much less variability over the study region. The uncertainty of extreme precipitation estimates also varies in time and space, and in earlier decades is strongly dependent on the density of the monitoring stations network. The produced maps will be useful in regional and local studies related to climate change, desertification, land and water resources management, hydrological modelling, and flood mitigation planning.

scholarly journals Modelling monthly precipitation with circulation weather types for a dense network of stations over Iberia

2013 ◽  
Vol 17 (2) ◽  
pp. 665-678 ◽  
Author(s):  
N. Cortesi ◽  
R. M. Trigo ◽  
J. C. Gonzalez-Hidalgo ◽  
A. M. Ramos
Keyword(s):  
Model Performance ◽  
Monthly Precipitation ◽  
Weather Types ◽  
Spatial Gradients ◽  
Mountainous Regions ◽  
The North ◽  
Precipitation Increase ◽  
The Relationship ◽  
Variance Explained

Abstract. Precipitation over the Iberian Peninsula (IP) is highly variable and shows large spatial contrasts between wet mountainous regions to the north, and dry regions in the inland plains and southern areas. In this work, we modelled the relationship between atmospheric circulation weather types (WTs) and monthly precipitation for the wet half of the year (October to May) using a 10 km grid derived from a high-density dataset for the IP (3030 precipitation series, overall mean density one station each 200 km2). We detected two spatial gradients in the relationship between WTs and precipitation. The percentage of monthly precipitation explained by WTs varies from northwest (higher variance explained) to southeast (lower variance explained). Additionally, in the IP the number of WTs that contribute significantly to monthly precipitation increase systematically from east to west. Generally speaking, the model performance is better to the west than to the east where the WTs approach produce the less accurate results. We applied the WTs modelling approach to reconstruct the long-term precipitation time series for three major stations of Iberia (Lisbon, Madrid, Valencia).

Sign in / Sign up

Export Citation Format

Share Document