Understanding the primary effects of anthropogenic activities and natural factors on river water quality is important in the study and efficient management of water resources. In this study, analysis of Variance (ANOVA), Principal component analysis (PCA), Pearson correlations, Multiple regression analysis (MRA) and Redundancy analysis (RDA) were applied as an integrated approach in a GIS envir...

Pacific Northwest Indigenous communities historically managed terrestrial and marine environments to increase the productivity access of traditional foods. Sea gardens, also called clam were an aquaculture method that increased food habitat for targeted species such as bivalves. This study utilized fatty acid biomarker analysis alongside stable isotopic with bivalve condition indices traditiona...

An estuarine wetland is an area of high ecological productivity and biodiversity, it also anthropic activity hotspot area, which concern. The wetlands in areas have suffered declines, had remarkable impacts. land use changes, especially loss, were studied based on Keyhole Landsat images the Liao River delta from 1962 to 2016. dynamics ecosystem service values (ESVs), suitable habitat for birds,...

In evolutionary ecology, an “ecotype” is a population that genetically adapted to specific environmental conditions. Environmental and genetic characterisation of livestock ecotypes can play crucial role in conservation breeding improvement, particularly achieve climate resilience. However, are often arbitrarily defined without detailed their agro-ecologies. this study, we employ novel integrat...

In this paper, we make a study on three Linear Discriminant Analysis (LDA) based methods: Regularized Discriminant Analysis (RDA), Discriminant Common Vectors (DCV) and Maximal Margin Criterion (MMC) in the Small Sample Size (SSS) problem. Our contributions are that: 1) we reveal that DCV obtains the same projection subspace as both RDA and wMMC (weighted MMC, a general form of MMC) when RDA’s ...

Abstract Understanding population structure is important for predicting the outcomes of anthropogenic development, harvest, and environmental change on abundance fisheries species. Logically, use several data sources best delineating structure, but combining across types adds extra challenges as results can be incongruent. Here, genetic markers were used to test hypotheses about in a collection...

Rapid urbanization influences the landscape pattern of impervious surfaces, and potentially affects surface water quality. Using ArcGIS Fragstats, this study analyzed temporal change surfaces in Shanghai over past 45 years, its driving forces impact on quality were also analyzed. The results show that both low high showed different degrees expansion, as a result, pervious area reduced by 40.1% ...

Abstract Purpose Soil microorganisms are important mediators of land ecosystem functions and stability. However, carbon sources in different amounts nitrogen addition known to affect the function soil microbial communities. Thus, this study sought evaluate effects on utilization capacity Sanjiang Plain wetland, northeastern China. Methods Three treatments (CK, 0 kg N ha −1 a ; N40, 40 N80 ) wer...

Until recently, a comprehensive evaluation of the environmental drivers on abundance and structure microbial community in typical forest soils has not been thoroughly conducted. In this study, (Mongolian oak (Quercus mongolica) soil, MOS; white birch (Betula platyphylla) WBS; poplar (Populus davidiana) WPS) Sanjiang Plain were selected to ascertain differences major factors driving soil structu...

This study aimed to assess the influence of tree vegetation and some environmental factor on soil organic carbon (SOC), which is part matter (SOM). Vegetation survey sampling were carried out in five stand types protected forest Kulon Progo Community Forestry, including Pinus (PN), Aleurites-Swietenia (AS), Swietenia-Acacia (SA), Melaleuca-Acacia (MA) Tectona-Dalbergia (TD). Tree composition ch...