The Landscape-Hydrological Districting of Territory of the Sumy Region

У статті досліджена ландшафтно-гідрологічна організація території Сумської області. За допомогою методу кластерного аналізу виокремленні низові ландшафтно-гідрологічні системи – ландшафтно-гідрологічні райони, виділення яких ґрунтується як на зональних, так і азональних факторах. Встановлено та описано ієрархічну структуру гідрологічних систем регіону (зона-провінція-район), виділено три рівні ландшафтно-гідрологічної диференціації – зональний, провінційний та районний і, як результат, здійснено ландшафтно-гідрологічне районування території регіону.In the article is set the landscape-hydrological organization of territory of the Sumy region. By means of cluster analysis the basic landscape-hydrological systems – landscape-hydrological areas have been highlighted selection of is based both zonal and azonal factors. Established and described the hierarchical structure of the hydrological systems of region (zone-province-district, there are three levels of landscape-hydrological differentiation – zonal, provincial and district and as a result, made the landscape-hydrological districting of region

Insect diversity in the Saharo-Arabian region: Revealing a little-studied fauna by DNA barcoding - Fig 4

<p>Incidence of BINs (A) and families (B) in the 39 collections from Islamabad, from February to December 2012.</p

Number of insects, families, and BINs (bars) collected by the Malaise trap deployed in Islamabad, Pakistan versus temperature and relative humidity data (lines).

<p>Number of insects, families, and BINs (bars) collected by the Malaise trap deployed in Islamabad, Pakistan versus temperature and relative humidity data (lines).</p

Insect diversity in the Saharo-Arabian region: Revealing a little-studied fauna by DNA barcoding - Fig 1

<p>Map of the terrestrial zoogeographic regions (A; adopted from Holt et al. Science 2013; 339: 74–78) and biodiversity documentation by DNA barcoding (B; taken from the Barcode of Life Data Systems, <a href="http://www.boldsystems.org/" target="_blank">www.boldsystems.org</a>).</p

Accumulation curve for Barcode Index Numbers (BINs) recovered from insect samples collected at the four Malaise trap sites.

<p>Accumulation curve for Barcode Index Numbers (BINs) recovered from insect samples collected at the four Malaise trap sites.</p

Abundance of families with their corresponding BINs (bars) and the BIN/specimen ratio (line).

<p>Only families with >100 specimens were analyzed.</p

Number of insect specimens, barcodes, families and BINs recovered from weekly Malaise trap collections.

<p>Number of insect specimens, barcodes, families and BINs recovered from weekly Malaise trap collections.</p

BIN overlap among the three countries–Egypt, Pakistan, Saudi Arabia.

<p>BIN overlap among the three countries–Egypt, Pakistan, Saudi Arabia.</p

Biodiversity inventories in high gear: DNA barcoding facilitates a rapid biotic survey of a temperate nature reserve

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