Abstract：
:Obtaining information about the spatial distribution of desert plants is considered as a serious challenge for ecologists and environmental modeling due to the required intensive field work and infrastructures in harsh and remote arid environments. A new method was applied for assessing the spatial distribution of the halophytic species (HS) in an arid coastal environment. This method was based on the object-based image analysis for a high-resolution Google Earth satellite image. The integration of the image processing techniques and field work provided accurate information about the spatial distribution of HS. The extracted objects were based on assumptions that explained the plant-pixel relationship. Three different types of digital image processing techniques were implemented and validated to obtain an accurate HS spatial distribution. A total of 2703 individuals of the HS community were found in the case study, and approximately 82% were located above an elevation of 2 m. The micro-topography exhibited a significant negative relationship with pH and EC (r = -0.79 and -0.81, respectively, p < 0.001). The spatial structure was modeled using stochastic point processes, in particular a hybrid family of Gibbs processes. A new model is proposed that uses a hard-core structure at very short distances, together with a cluster structure in short-to-medium distances and a Poisson structure for larger distances. This model was found to fit the data perfectly well.
journal_name
Environ Monit Assessjournal_title
Environmental monitoring and assessmentauthors
Badreldin N,Uria-Diez J,Mateu J,Youssef A,Stal C,El-Bana M,Magdy A,Goossens Rdoi
10.1007/s10661-015-4403-zsubject
Has Abstractpub_date
2015-05-01 00:00:00pages
224issue
5eissn
0167-6369issn
1573-2959journal_volume
187pub_type
杂志文章abstract：:This paper examined the factors that might influence participating farmers' willingness-to-pay for the Tree Farming Fund (TFF) established for sustainable development of participatory forest management (PFM). Information on willingness-to-pay, socioeconomic characteristics, and attitudes of participating farmers towar...
journal_title：Environmental monitoring and assessment
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journal_title：Environmental monitoring and assessment
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journal_title：Environmental monitoring and assessment
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更新日期：2011-09-01 00:00:00
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更新日期：2008-01-01 00:00:00
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journal_title：Environmental monitoring and assessment
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