ArticleEnvironmental monitoring and assessment2017
Analysis of landscape changes as an indicator for environmental monitoring.
Article in Environmental monitoring and assessment, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Analysis of road development and associated agricultural land use change.Environmental monitoring and assessment · 2017Article
- A socio-environmental monitoring system for a UNESCO biosphere reserve.Environmental monitoring and assessment · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mediterranean coastal landscapes are complex systems that are subject to rapid and extensive changes due to unprecedented human interference. Changes in these landscapes are strong indications of anthropogenic disturbances that should be monitored carefully in order to make effective management decisions. Landscape changes can be analyzed using many qualitative and quantitative techniques. In this respect, the importance of land cover information arises from the fact that any change in the composition and/or configuration of land cover can be used as a landscape-level environmental indicator. Therefore, proper understanding of spatial and temporal characteristics of this environmental attribute is of vital importance as it enables decision-makers to reveal causes of environmental issues and to cope with consequences of mismanagement. The aims of this paper are to analyze landscape-level changes using the largest patch index (LPI) as a simple pattern indicator and provide guidelines for studying change phenomena that take place in the Mediterranean coastal areas. In this respect, changes in the LPI values for agricultural and built-up areas in three different sites were analyzed using georeferenced Ikonos and Quickbird images. The concepts of pattern and process were highlighted as important indicators for studying landscapes and understanding their change.
Indexed as
Identifiers
28000120What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.