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1.
Ecol Appl ; 27(5): 1466-1484, 2017 07.
Article in English | MEDLINE | ID: mdl-28370671

ABSTRACT

Land use changes are one of the most important factors causing environmental transformations and species diversity alterations. The aim of the current study was to develop a geoinformatics-based framework to quantify alpha and beta diversity indices in two sites in Israel with different land uses, i.e., an agricultural system of fruit orchards, an afforestation system of planted groves, and an unmanaged system of groves. The framework comprises four scaling steps: (1) classification of a tree species distribution (SD) map using imaging spectroscopy (IS) at a pixel size of 1 m; (2) estimation of local species richness by calculating the alpha diversity index for 30-m grid cells; (3) calculation of beta diversity for different land use categories and sub-categories at different sizes; and (4) calculation of the beta diversity difference between the two sites. The SD was classified based on a hyperspectral image with 448 bands within the 380-2500 nm spectral range and a spatial resolution of 1 m. Twenty-three tree species were classified with high overall accuracy values of 82.57% and 86.93% for the two sites. Significantly high values of the alpha index characterize the unmanaged land use, and the lowest values were calculated for the agricultural land use. In addition, high values of alpha indices were found at the borders between the polygons related to the "edge-effect" phenomenon, whereas low alpha indices were found in areas with high invasion species rates. The beta index value, calculated for 58 polygons, was significantly lower in the agricultural land use. The suggested framework of this study succeeded in quantifying land use effects on tree species distribution, evenness, and richness. IS and spatial statistics techniques offer an opportunity to study woody plant species variation with a multiscale approach that is useful for managing land use, especially under increasing environmental changes.


Subject(s)
Agriculture/methods , Biodiversity , Plant Dispersal , Remote Sensing Technology/methods , Trees/physiology , Forestry , Israel , Spectrum Analysis
2.
Comput Biol Chem ; 32(5): 345-8, 2008 Oct.
Article in English | MEDLINE | ID: mdl-18657475

ABSTRACT

Photographic analysis was used to examine morphological differences in the oral disc of n=1196 living polyps of Favia speciosa Dana (1846) sampled from four sites in the Wakatobi Marine National Park, Indonesia. Although oral disc size attributes differed significantly between the study sites, the geographic difference accounted for only a small fraction of the morphological variation and did not show a clear pattern of correspondence to sedimentation rates. A much higher fraction of the morphological variation was attributed to depth and so to incident light: oral discs grew significantly larger with increasing depth. These results suggest that for F. speciosa corals at Wakatobi, oral disc size may be optimised for heterotrophic nutrition under low light conditions, and photosynthesis in conditions where light is not limiting. Furthermore, the driving force for this phenotypic plasticity is more likely to be depth than sedimentation rate.


Subject(s)
Adaptation, Physiological/physiology , Anthozoa/physiology , Mouth/growth & development , Animals , Anthozoa/anatomy & histology , Anthozoa/radiation effects , Autotrophic Processes/physiology , Geography , Geologic Sediments , Heterotrophic Processes/physiology , Indonesia , Light , Mouth/anatomy & histology , Photosynthesis/physiology
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