Linking indices of biotic integrity to environmental and land use variables: multimetric clustering and predictive models

2009 ◽  
Vol 59 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Vladimir Novotny ◽  
David Bedoya ◽  
Hardik Virani ◽  
Elias Manolakos
Keyword(s):  
Land Use ◽  
Fish Community ◽  
Principal Component ◽  
Component Analysis ◽  
Stream Habitat ◽  
State Agencies ◽  
Data Bases ◽  
North Central ◽  
The North ◽  
Analyze Data

Advanced computerized methods and models of retrieving knowledge from large multiparameter data bases were used to analyze data on fish and macroinvertebrate composition (metrics), habitat, land use and water quality. The research focused on the north central and northeastern United States and involved thousands of sites monitored by the state agencies. The techniques and methodologies included supervised and unsupervised Artificial Neural Networks (ANN) modeling, Principal Component Analysis, Canonical Component Analysis (both linear and nonlinear), Multiple Regression Analyses, and analyses of variance by ANOVA. The research resulted in defining a concept of clusters of sites based on their biotic (fish) community composition, identified cluster dominating factors, and developed meaningful models for predicting fish composition based on environmental and in—stream habitat stresses.

Poplar breeding and testing strategies in the north-central U.S.: Demonstration of potential yield and consideration of future research needs

2001 ◽  
Vol 77 (2) ◽  
pp. 245-253 ◽  
Author(s):  
Don E. Riemenschneider ◽  
J. G. Isebrands ◽  
William E. Berguson ◽  
Donald I. Dickmann ◽  
Richard B. Hall ◽  
...  
Keyword(s):  
Principal Component ◽  
Future Research ◽  
Environment Interaction ◽  
Research Needs ◽  
Above Ground Biomass ◽  
University Of Minnesota ◽  
Potential Yield ◽  
North Central ◽  
Ground Biomass ◽  
The North

We present results from a Populus Regional Testing Program that has been conducted in Minnesota, Iowa, Wisconsin, and Michigan over the past six years. Our objectives have been to: 1) identify highly productive, disease resistant intra- and inter-specific clonal selections and 2) understand patterns of genotype × environment interactions within the region that would, logically, govern commercial deployment of new clones. Clones were developed by breeding and selection programs at the University of Illinois, Iowa State University, University of Minnesota, and the USDA Forest Service for experiments established in 1995. We report results of analyses of variance and principal component analyses of tree diameters and estimated above-ground biomass that demonstrate significant genotype main effects and significant genotype × environment interactions. Maximum mean annual above-ground biomass increments have surpassed 16 Mg ha−1 y−1, exceeding previously reported yields of poplars grown under similar conditions in the north-central U.S. We also discuss the breeding and selection of poplars in general with specific attention to regional research needs. Key words: Populus, biomass, multi-trait selection, genotype, genotype × environment interaction

scholarly journals Principal component analysis optimization of a PM2.5 land use regression model with small monitoring network

2012 ◽  
Vol 425 ◽  
pp. 27-34 ◽  
Author(s):  
Hector A. Olvera ◽  
Mario Garcia ◽  
Wen-Whai Li ◽  
Hongling Yang ◽  
Maria A. Amaya ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Land Use ◽  
Regression Model ◽  
Monitoring Network ◽  
Principal Component ◽  
Component Analysis ◽  
Land Use Regression

scholarly journals Finding Clog Models for the Urban Traffic Blocking & Assessment of Corridors

2019 ◽  
Vol 8 (11S2) ◽  
pp. 464-467
Keyword(s):  
Principal Component Analysis ◽  
Land Use ◽  
Regression Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Urban Traffic ◽  
Current Paper ◽  
Urban Travel ◽  
Travelling Time ◽  
Telangana State

Urban travel blockage is one of the serious issues which are affecting travelling time. This impact is on economical ability of transportable, non-element of condition, psychosomatic stresses and a movement irregularity on movement. There is a need to indentify clog models for the remarkable impact boil down in peak hour gridlock. The blockage standards can be followed the characteristic located on street with hustle. The clog is created with the overhead conveyed with inconsistent factors and show the way to the fate. These aspects are revealed that they are because of impact of certain trademark impact from elements of land use, street symmetrical, and commute and street organize attributes. This research is encircled on with the staggered distressing variables. GPS information, GIS support tactic is proposed in the assessment for information and a clog model is related to discover clog factors. The current paper compacts with the deliberate the blockage criterions, and clog produced factors for the Dilsukhnagar zone (Gaddianaram region) Hyderabad, Telangana State, INDIA using Principal Component Analysis (PCA) and regression analysis.

scholarly journals Multi-trait Analysis of Agroclimate Variations During the Growing Season in East-Central Poland (1971-2005)

2015 ◽  
Vol 29 (2) ◽  
pp. 213-219 ◽  
Author(s):  
Elżbieta Radzka ◽  
Katarzyna Rymuza
Keyword(s):  
Principal Component Analysis ◽  
Air Temperature ◽  
Meteorological Data ◽  
Principal Component ◽  
Growing Season ◽  
Component Analysis ◽  
The South ◽  
East Central ◽  
Central Poland ◽  
The North

Abstract The work is based on meteorological data recorded by nine stations of the Institute of Meteorology and Water Management located in east-central Poland from 1971 to 2005. The region encompasses the North Podlasian Lowland and the South Podlasian Lowland. Average values of selected agroclimate indicators for the growing season were determined. Moreover, principal component analysis was conducted to indicate elements that exerted the greatest influence on the agroclimate. Also, cluster analysis was carried out to select stations with similar agroclimate. Ward method was used for clustering and the Euclidean distance was applied. Principal component analysis revealed that the agroclimate of east-central Poland was predominantly affected by climatic water balance, number of days of active plant growth, length of the farming period, and the average air temperature during the growing season (Apr-Sept). Based on the analysis, the region of east-central Poland was divided into two groups (areas) with different agroclimatic conditions. The first area comprized the following stations: Szepietowo and Białowieża located in the North Podlasian Lowland and Biała Podlaska situated in the northern part of the South Podlasian Lowland. This area was characterized by shorter farming periods and a lower average air temperature during the growing season. The other group included the remaining stations located in the western part of both the Lowlands which was warmer and where greater water deficits were recorded.

scholarly journals Penggunaan Analisis Komponen Utama Dalam Penggabungan Data Peubah Ganda pada Kasus Produksi Pertanian dan Perkebunan Di Wilayah Bolaang Mongondow Tahun 2008

d'CARTESIAN ◽  
2014 ◽  
Vol 3 (2) ◽  
pp. 1 ◽  
Author(s):  
Sunarsi Habib Abdurrachman ◽  
Hanny Komalig ◽  
Nelson Nainggolan
Keyword(s):  
Principal Component Analysis ◽  
Initial Data ◽  
Principal Components ◽  
Multivariate Data ◽  
Secondary Data ◽  
Principal Component ◽  
Component Analysis ◽  
The North ◽  
North Sulawesi ◽  
Production Agriculture

Abstract The objective of this research is to study the combine the two groups of data with multivariate variables using Principal Component Analysis. The data used in this study is a secondary data drawn from the North Sulawesi BPS data in Production Agriculture and Plantation Bolaang Mongondow region in 2008. The results show that PCA can be used to combining two separate groups multivariate data and the correlation between the Principal Components of the data are combined with the Principal Component of the overall initial data (intact) is relatively high wich correlation between PC1 and PC1AB as big 0,987 and correlation between PC2 and PC2AB as big 0,916. Keywords : Principal Component Analysis, Agriculture Production and Plantation Abstrak Tujuan penelitian ini adalah menggabungkan dua gugus data peubah ganda dengan menggunakan Analisis Komponen Utama. Data yang digunakan dalam penelitian ini merupakan data sekunder yang diambil dari BPS Sulawesi Utara yakni Data Produksi Pertanian Dan Perkebunan Di Wilayah Bolaang Mongondow Tahun 2008. Hasilnya menunjukkan bahwa AKU dapat digunakan untuk menggabungkan dua gugus data peubah ganda yang terpisah dan korelasi antara komponen utama dari data yang digabungkan dengan komponen utama dari keseluruhan data awal (utuh)  relatif tinggi yakni dengan nilai korelasi PC1 dan PC1AB sebesar 0,987 dan PC2 dan PC2AB  sebesar 0,916.   Kata kunci : Analisis Komponen Utama, Produksi Pertanian dan Perkebunan

scholarly journals North central Victoria – climate change and land-use: potentials for third century in a timeless land

2010 ◽  
Vol 122 (2) ◽  
pp. 161 ◽  
Author(s):  
Ian Mansergh
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Ecosystem Services ◽  
Extreme Weather Events ◽  
Catchment Management ◽  
Private Land ◽  
Adaptation To Climate Change ◽  
North Central ◽  
The North ◽  
Land Use And Management

For the 21st century, scenarios of future climate under global warming suggest that Bassian-Eyrean bioclimatic region of northern Victoria, centred on the North Central Catchment Management Authority (NCCMA), will become markedly warmer and drier. Significant climate change is a real possibility midcentury and some basic bio-physical attributes underpinning the current ecology, land-use and management will be altered. Societal adaptation to climate change will include enhancing landscape resilience and changes to the mix of inter-related ecosystem services. The increasing understanding of these inter-relationships will allow for the creation of a more holistic quantification and production of landscape services. In combination, these challenge the past land-use paradigm on the driest, inhabited continent. Following the mid-19th century gold rushes, land-use in the NCCMA represented the epitome of the colonial land-use paradigm through clearing for agriculture and pastoralism. Victoria has long had the highest percentage private land of any Australian state. The NCCMA catchment is the most denuded of native vegetation, with the smallest percentage of public land and conservation reserves, and is now the centre of a continental concentration of bioregions under high environmental stress. The original primacy of agriculture was fulfilled, sometimes under adverse circumstances, but resultant landscape legacies persist within the relative economic decline of Australian agriculture. The amelioration of these within a future land stewardship that is water-stressed, carbon constrained and prone to extreme weather events is a major challenge. Exploring landscape adaptation, the simple questions arise: From what? To what? This contribution examines broad land-use in the NCCMA in the long term context of climate change and adaptation, land-use and the perceived valuation of ecosystem services from the landscape. The increasing realisation of the interconnectedness of these phenomena and the necessity for ecologically sustainable agriculture provide enhanced drivers for the evolution of new landscape meanings in the context of an inter-generational equity and climate change response.

The distribution of grape phylloxera, Daktulosphaira vitifolii (Fitch), in central and north-eastern Victoria

1987 ◽  
Vol 27 (4) ◽  
pp. 591 ◽  
Author(s):  
GA Buchanan
Keyword(s):  
Land Use ◽  
Current Distribution ◽  
Previous Survey ◽  
North Central ◽  
Grape Phylloxera ◽  
The North ◽  
Planting Material ◽  
Significant Relationships ◽  
North Eastern ◽  
Apparent Relationship

All known vineyards in the North Central and Geelonq Vine Disease Districts of Victoria were systematically surveyed for grape phylloxera, Daktulosphaira vztlfoliz (Fitch) (Hemiptera, Phylloxeridae). Forty-one of the 28 1 vineyards surveyed were found to be infested. The infested vineyards were located near Nagambie, Ardmona, Glenrowan, Milawa and Rutherglen. There were significant relationships ( �2 , Plt; 0.001) between the infestation of vineyards and the age of the grapevines, the source of planting material, and the use of rootstocks. There was no apparent relationship between phylloxera infestation and soil type. Comparison with a previous survey reported in 1902 indicates a reduction in the number (from 69 to 41), but an increase in the area (from 275 to 653 ha) of infested vineyards. Differences in the distribution of phylloxera were small. There was evidence of spread of phylloxera within districts already infested, but only the Glenrowan- Milawa district contained infestations not previously recorded. Some previously infested areas were found to be free of phylloxera, owing to changing land use. The survey provided a basis for redefining quarantine areas according to the current distribution of grape phylloxera.

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