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Measuring and modelling biodiversity from space
- Progress in Physical Geography
, 2008
"... Abstract: The Earth is undergoing an accelerated rate of native ecosystem conversion and degradation and there is increased interest in measuring and modelling biodiversity from space. Biogeographers have a long-standing interest in measuring patterns of species occurrence and distributional movemen ..."
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Abstract: The Earth is undergoing an accelerated rate of native ecosystem conversion and degradation and there is increased interest in measuring and modelling biodiversity from space. Biogeographers have a long-standing interest in measuring patterns of species occurrence and distributional movements and an interest in modelling species distributions and patterns of diversity. Much progress has been made in identifying plant species from space using high-resolution satellites (QuickBird, IKONOS), while the measurement of species movements has become commonplace with the ARGOS satellite tracking system which has been used to track the movements of thousands of individual animals. There have been significant advances in land-cover classifications by combining data from multi-passive and active sensors, and new classification techniques. Species distribution modelling has been growing at a striking rate and the incorporation of spaceborne data on climate, topography, land cover, and vegetation structure has great potential to improve models. There have been significant advances in modelling species richness, alpha diversity, and beta diversity using multisensors to quantify land-cover classifications and landscape metrics, measures of productivity, and measures of heterogeneity. Remote sensing of nature reserves can provide natural resources managers with near real-time data within and around reserves that can be used to support conservation efforts anywhere in the world. Future research should focus on incorporating recent spaceborne sensors, more extensive integration of available spaceborne imagery, and the collection and dissemination of high-quality field data. This will improve our understanding of the distribution of life on earth.
Remote Sensing
, 2010
"... Evaluating ecological patterns and processes is crucial for the conservation of ecosystems [1]. In this view, remote sensing is a powerful tool for monitoring their status and change. This involves several tasks like biodiversity estimate, landscape ecology, and species distribution modeling, to nam ..."
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Evaluating ecological patterns and processes is crucial for the conservation of ecosystems [1]. In this view, remote sensing is a powerful tool for monitoring their status and change. This involves several tasks like biodiversity estimate, landscape ecology, and species distribution modeling, to name a few [2]. Due to the difficulties associated with field-based data collection [3], the use of remote sensing for estimating ecological status and change is promising since it provides a synoptic view of an area with a high temporal resolution [4]. Of course in some cases remote sensing should be viewed as a help to plan a field survey rather than a replacement of it. Further, its improper use may lead to pitfalls and misleading results. This special issue “Ecological Status and Change by Remote Sensing ” is devoted to provide an almost complete overview of robust methods applied to ecological status and change estimate by remote sensing. The contributions published in this special issue cover most of the ecological fields of research involving remote sensing, in particular: (i) mapping vegetation, species distribution modeling and land use status and change; (ii) estimating environmental processes; (iii) developing landscape ecology metrics; (iv) assessing community biodiversity; and (v) estimating climatic parameters. The authors submitting their manuscript to this special issue of Remote Sensing are amongst the
AND QUANTILE REGRESSION
"... Abstract—Remotely sensed imagery has long been recognized as a powerful support for characterizing and estimating biodiversity. Spectral distance among sites has proven to be a powerful approach for detecting species composition variability. Regression analysis of species similarity versus spectral ..."
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Abstract—Remotely sensed imagery has long been recognized as a powerful support for characterizing and estimating biodiversity. Spectral distance among sites has proven to be a powerful approach for detecting species composition variability. Regression analysis of species similarity versus spectral distance allows us to quantitatively estimate the amount of turnover in species composition with respect to spectral and ecological variability. In classical regression analysis, the residual sum of squares is minimized for the mean of the dependent variable distribution. However, many ecological data sets are characterized by a high number of zeroes that add noise to the regression model. Quantile regressions can be used to evaluate trend in the upper quantiles rather than a mean trend across the whole distribution of the dependent variable. In this letter, we used ordinary least squares (OLS) and quantile regressions to estimate the decay of species similarity versus spectral distance. The achieved decay rates were statistically nonzero (p <0.01), considering both OLS and quantile regressions. Nonetheless, the OLS regression estimate of the mean decay rate was only half the decay rate indicated by the upper quantiles. Moreover, the intercept value, representing the similarity reached when the spectral distance approaches zero, was very low compared with the intercepts of the upper quantiles, which detected high species similarity when habitats are more similar. In this letter, we demonstrated the power of using quantile regressions applied to spectral distance decay to reveal species diversity patterns otherwise lost or underestimated by OLS regression. Index Terms—Biodiversity, distance decay, environmental gradients, quantile regressions.
Contents lists available at ScienceDirect Ecological Indicators
"... journal homepage: www.elsevier.com/locate/ecolind Does using species abundance data improve estimates of species diversity ..."
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journal homepage: www.elsevier.com/locate/ecolind Does using species abundance data improve estimates of species diversity
www.mdpi.com/journal/remotesensing Article Assessing Plant Diversity in a Dry Tropical Forest: Comparing the Utility of Landsat and Ikonos Satellite Images
, 2010
"... Abstract: While high expectations have been raised about the utility of high resolution satellite imagery for biodiversity assessment, there has been almost no empirical assessment of its use, particularly in the biodiverse tropics which represent a very challenging environment for such assessment c ..."
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Abstract: While high expectations have been raised about the utility of high resolution satellite imagery for biodiversity assessment, there has been almost no empirical assessment of its use, particularly in the biodiverse tropics which represent a very challenging environment for such assessment challenge. This research evaluates the use of high spatial resolution (IKONOS) and medium spatial resolution (Landsat ETM+) satellite imagery for assessing vegetation diversity in a dry tropical forest in central India. Contrary to expectations, across multiple measures of plant distribution and diversity, the resolution of IKONOS data is too fine for the purpose of plant diversity assessment and Landsat imagery performs better.
DOI: 10.1177/0309133309346645 Editorial Remote sensing in physical geography: a twenty-fi rst-century perspective
"... Timely, high-quality data from remote sensing can benefi t the study of physical geography in many ways (Wolman, 2004). Rapid devel-opments in remote sensing, particularly from satellite platforms, have generated much, often well-placed, enthusiasm about its potential as a powerful research tool (Sk ..."
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Timely, high-quality data from remote sensing can benefi t the study of physical geography in many ways (Wolman, 2004). Rapid devel-opments in remote sensing, particularly from satellite platforms, have generated much, often well-placed, enthusiasm about its potential as a powerful research tool (Skole, 2004). Indeed, remote sensing is viewed by many as having come of age (Tatem et al., 2008) and can be deemed a mature discip-line with its physical principles well under-stood and its range of applications a show-case of its versatility (Warner et al., 2009). Historically, physical geography has bene-fited greatly from the emergence of new
CONSERVING MOVING SPECIES UNDER CHANGING LANDSCAPES AND CLIMATES
, 2008
"... To conserve biodiversity, it is critical to understand the dynamic landscapes and climates through which species move and how the environment influences movement choices. In particular, I am interested in how species respond to human modifications to landscapes and climates. Chapter 1 uses datasets ..."
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To conserve biodiversity, it is critical to understand the dynamic landscapes and climates through which species move and how the environment influences movement choices. In particular, I am interested in how species respond to human modifications to landscapes and climates. Chapter 1 uses datasets on the spatial and temporal coverage of remotely sensed land cover datasets to examine gaps in the monitoring of environmental priorities. Temporal gaps in Landsat and spatial gaps in commercial high resolution satellites such as QuickBird may hinder land cover change monitoring efforts. Chapter 2 uses Global Climate Models and museum specimens to projects the impact of climate change on the flora of California, a global biodiversity hotspot. With anticipated climate change, up to 66 % may experience>80 % reductions in range size within a century. These projections are less severe if plants are able to disperse in time. With no constraints on dispersal, plant centroids move an average of up to 150 km. The projections identify regions where species undergoing severe range reductions may
SUMMARY
"... At the present time, remote sensing technologies are being improved and day by day, by launching new satellites with new developed techniques, images can be obtained faster with high resolution. The satellites which had been launched recent years for example; Ikonos, Quickbird and Orbview-3 have 1m ..."
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At the present time, remote sensing technologies are being improved and day by day, by launching new satellites with new developed techniques, images can be obtained faster with high resolution. The satellites which had been launched recent years for example; Ikonos, Quickbird and Orbview-3 have 1m and better resolution, continue their missions with quite success. For a few years the computer users have been achieving information for every area just by using a computer via the GoogleEarth (GE) technology generated by America with the contribution of several countries. GE was improved for displaying the images which are obtained with remote sensing techniques, transforming to mosaic form for any area and describing the topography and cartography of this area. But, day by day, the various information has begun to be offered by Geographic Information System (GIS) integration to the GE and the GE has started to develop by this way. Now, the users can provide all types of information for any area after the integration of Geographic Information System to GE. For example; they can decide their strategy which they will follow in a probable disaster (earthquake, flood etc.) or even, they can select a restaurant to eat something.
Progress in Physical Geography 32(2) (2008) pp. 203–221 © 2008 SAGE Publications DOI: 10.1177/0309133308093606 Measuring and modelling biodiversity from space
"... Abstract: The Earth is undergoing an accelerated rate of native ecosystem conversion and degradation and there is increased interest in measuring and modelling biodiversity from space. Biogeographers have a long-standing interest in measuring patterns of species occurrence and distributional moveme ..."
Abstract
- Add to MetaCart
Abstract: The Earth is undergoing an accelerated rate of native ecosystem conversion and degradation and there is increased interest in measuring and modelling biodiversity from space. Biogeographers have a long-standing interest in measuring patterns of species occurrence and distributional movements and an interest in modelling species distributions and patterns of diversity. Much progress has been made in identifying plant species from space using high-resolution satellites (QuickBird, IKONOS), while the measurement of species movements has become commonplace with the ARGOS satellite tracking system which has been used to track the movements of thousands of individual animals. There have been signifi cant advances in land-cover classifi cations by combining data from multi-passive and active sensors, and new classifi cation techniques. Species distribution modelling has been growing at a striking rate and the incorporation of spaceborne data on climate, topography, land cover, and vegetation structure has great potential to improve models. There have been signifi cant advances in modelling species richness, alpha diversity, and beta diversity using multisensors to quantify land-cover classifi cations and landscape metrics, measures of productivity, and measures of heterogeneity. Remote sensing of nature reserves can provide natural resources managers with near real-time data within and around reserves that
