Misuse of bird digital distribution maps creates reversed spatial diversity patterns in the Amazon

Biotropica ◽  
2017 ◽  
Vol 49 (5) ◽  
pp. 636-642 ◽  
Author(s):  
Mariana M. Vale ◽  
Tamires L. Marques ◽  
Mario Cohn-Haft ◽  
Marcus Vinícius Vieira
Keyword(s):  
Spatial Diversity ◽  
Diversity Patterns ◽  
Distribution Maps

scholarly journals Spatial diversity patterns ofPristimantisfrogs in the Tropical Andes

2016 ◽  
Vol 6 (7) ◽  
pp. 1901-1913 ◽  
Author(s):  
Fabio Leonardo Meza-Joya ◽  
Mauricio Torres
Keyword(s):  
Spatial Diversity ◽  
Tropical Andes ◽  
Diversity Patterns

scholarly journals Low predictive power of mid-domain effect to explain geographic species richness patterns in Palearctic songbirds

2007 ◽  
Vol 76 (3) ◽  
pp. 197-204 ◽  
Author(s):  
M. Aliabadian ◽  
C. S. Roselaar ◽  
R. Sluys ◽  
V. Nijman
Keyword(s):  
Species Richness ◽  
Predictive Power ◽  
Explanatory Power ◽  
Null Model ◽  
Species Range ◽  
Geometric Constraints ◽  
Diversity Patterns ◽  
Distribution Maps ◽  
Biogeographic Patterns ◽  
Richness Patterns

In the study of diversity patterns, the Mid-domain effect (MDE), which explains gradients in diversity solely on the basis of geometric constraints, has emerged as a null-model against which other hypotheses can be tested. The effectiveness, measured by its predictive power, of these MDE models appears to depend on the size of the study area and the range-sizes of the taxa considered. Here we test the predictive power of MDE on the species richness patterns of birds and assess its effectiveness for a variety of species range sizes. We digitised distribution maps of 889 species of songbird endemic to the Palearctic, and analysed the emergent biogeographic patterns with WORLDMAP software. MDE had a predictive power of 20% when all songbirds were included. Major hotspots were located south of the area where MDE predicted the highest species-richness, and some of the observed coldspots were in the centre of the Palearctic, contradicting the predictions of the MDE. MDE had little explanatory power (3-19%) for all but the largest range sizes, whereas MDE performed equal or better for the large-ranged species (20-34%) compared to the overall model. Overall MDE did not accurate explain species-richness patterns in Palearctic songbirds. Subsets of larger-range species did not always have a larger predictive power than smaller-range species or the overall model. Despite their low predictive power, MDE models can have a role to play in explaining biogeographic patterns but other variables need to be included in the model as well.

Local-scale spatial diversity patterns of ectomycorrhizal fungal communities in a subtropical pine-oak forest

2019 ◽  
Vol 42 ◽  
pp. 100860
Author(s):  
Mayra E. Gavito ◽  
Ricardo Leyva-Morales ◽  
Ernesto V. Vega-Peña ◽  
Héctor Arita ◽  
Teele Jairus ◽  
...  
Keyword(s):  
Spatial Diversity ◽  
Local Scale ◽  
Fungal Communities ◽  
Oak Forest ◽  
Diversity Patterns

scholarly journals Distribution and diversity of reptiles in Albania: a novel database from a Mediterranean hotspot

2017 ◽  
Vol 38 (2) ◽  
pp. 157-173 ◽  
Author(s):  
Edvárd Mizsei ◽  
Daniel Jablonski ◽  
Zsolt Végvári ◽  
Szabolcs Lengyel ◽  
Márton Szabolcs
Keyword(s):  
Sampling Effort ◽  
Altitudinal Variation ◽  
Diversity Patterns ◽  
Distribution Maps ◽  
Heritage Sites ◽  
Temperature And Precipitation ◽  
Reptile Species ◽  
Precipitation Variation ◽  
Variation Explained ◽  
Online Sources

Although Albania has a rich reptile fauna, efforts to reveal its diversity have so far been limited. To fill this gap, we collected available published and unpublished (museum collections, online sources) records of reptile occurrences and conducted several expeditions to search for reptiles in areas with few or no previous records. Our georeferenced database contains 3731 records of 40 species from between 1918 and 2015. Based on this comprehensive dataset, we prepared distribution maps for each reptile species of the country. Applying spatial statistics, we revealed that overall sampling effort was clustered, with hotspots associated with easily accessible areas and natural heritage sites. The maximum number of species per cell was 26 with an average of seven. Cells harbouring large reptile diversity were located along the Adriatic and Ionian coasts, on the western slopes of south Albanian mountains, i.e. in areas generally considered as Balkans biodiversity hotspots or potential historical refugia. We found that species presence and diversity is strongly influenced by landscape features. Diversity of land cover, altitudinal variation, temperature and precipitation variation explained the observed pattern in our models. Our study presents the largest database of reptile occurrences to date and is the first to analyse reptile diversity patterns in Albania. The database and the diversity patterns can provide a basis for future macroecological studies and conservation planning.

scholarly journals Demersal Fish Assemblages and Spatial Diversity Patterns in the Arctic-Atlantic Transition Zone in the Barents Sea

PLoS ONE ◽  
2012 ◽  
Vol 7 (4) ◽  
pp. e34924 ◽  
Author(s):  
Edda Johannesen ◽  
Åge S. Høines ◽  
Andrey V. Dolgov ◽  
Maria Fossheim
Keyword(s):  
Transition Zone ◽  
Fish Assemblages ◽  
Barents Sea ◽  
Demersal Fish ◽  
Spatial Diversity ◽  
The Arctic ◽  
Diversity Patterns ◽  
The Barents Sea

Implications from large-scale spatial diversity patterns of saproxylic beetles for the conservation of European Beech forests

2012 ◽  
Vol 6 (2) ◽  
pp. 162-169 ◽  
Author(s):  
JÖRG MÜLLER ◽  
JÖRG BRUNET ◽  
ANTOINE BRIN ◽  
CHRISTOPHE BOUGET ◽  
HERVE BRUSTEL ◽  
...  
Keyword(s):  
Large Scale ◽  
European Beech ◽  
Spatial Diversity ◽  
Saproxylic Beetles ◽  
Beech Forests ◽  
Diversity Patterns

scholarly journals Status and Spatial Variability of Trace Elements in the Low Ganges River Floodplain Soils of Bangladesh

2017 ◽  
Vol 9 (2) ◽  
pp. 71-78
Author(s):  
MD Islam ◽  
MM Rahman ◽  
MH Kabir ◽  
GKMM Rahman ◽  
MS Hossain
Keyword(s):  
Trace Elements ◽  
Organic Carbon ◽  
Spatial Variability ◽  
Soil Ph ◽  
Crop Production ◽  
Spatial Diversity ◽  
Soil Samples ◽  
Ganges River ◽  
River Floodplain ◽  
Distribution Maps

Soils of the Low Ganges River Floodplain encroaching Faridpur district of Bangladesh have immense contribution to crop production, while little information available focusing the spatial variability of trace elements in the area. Therefore, the study was conducted to quantify the trace elements collecting a total of 122 representative soil samples from rice fields of Faridpur district. Soil samples were analyzed and found that Cu, Fe, Mn, Zn and B were ranged from 0.80-6.80, 24–295, 10–129, 0.12–2.20 and 0.5-9.05 ppm, respectively. The pollution indexes are noteworthy features which revealed that only Mn may exhibit a risk for environmental pollution. The concentrations of trace elements, pH and organic carbon in soils displayed a significant spatial diversity because of anthropogenic and geogenic contribution. The distribution maps of soil pH, organic carbon and trace elements might be useful to farmers, researchers and planners in designing and planning agricultural programs in the study area.J. Environ. Sci. & Natural Resources, 9(2): 71-78 2016

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