Can geodiversity be predicted from space?

Hjort, Jan; Luoto, Miska

doi:10.1016/j.geomorph.2012.02.010

Cited by 46 publications

(18 citation statements)

References 45 publications

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“…However, the inclusion of transparent and transferable quantitative DEM-derived variables promotes comparison between areas of interest (Anders et al 2013). For example, the standard deviation of slope angle and elevation were found to be a good predictor of geodiversity in this study, which fits well with similar findings of Hjort and Luoto (2012) for three different study sites. For this study we can confirm their findings that variables describing high potential energy and topographical heterogeneity are suitable to predict geodiversity.…”

Section: Methodssupporting

confidence: 82%

Exploring Hawaiian long-term insular geodiversity dynamics

Seijmonsbergen¹,

Guldenaar²,

Rijsdijk³

2018

Landform Analysis

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Abstract:The role of time is underrepresented in assessments of geodiversity. Hot spot islands are unique systems to explore long-term geodiversity dynamics. The geodiversity dynamics of seven Hawaiian Islands are analysed by a qualitative-quantitative assessment using a geodiversity index. As input, freely available geological, soil and hydrological datasets are used, along with topographic diversity variables calculated from a digital elevation model. Long-term geodiversity dynamics were evaluated through correlation of island age to geodiversity class and assessment of the role of each contributing variable to the geodiversity class. The results indicate that high geodiversity is positively correlated with increasing island age, while younger islands generally correlate with low geodiversity classes. This is explained by the high contribution of topographic variables, and to a lesser extent by hydrological development and soil formation over time. These findings suggest that geodiversity dynamics play an important role in the life cycle of hot spot islands.

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Section: Methodssupporting

confidence: 82%

Exploring Hawaiian long-term insular geodiversity dynamics

Seijmonsbergen¹,

Guldenaar²,

Rijsdijk³

2018

Landform Analysis

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“…We analysed spatial scaling relationships between geodiversity and different forms of tree biodiversity: alpha, beta and gamma. For geodiversity, we focused on variation in elevation because it is the most commonly used form of geodiversity (Stein et al, 2014), and many geodiversity variables are correlated with topography, especially at regional scales (Hjort & Luoto, 2012). We note that numerous geodiversity variables have been proposed (Gray, 2013;Parks & Mulligan, 2010), and investigation of their (Simard, Neumann, & Buckley, 2016).…”

Section: Biodiversity-geodiversity Scaling Relationships In Western Umentioning

confidence: 99%

Towards connecting biodiversity and geodiversity across scales with satellite remote sensing

Zarnetske

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et al. 2019

Global Ecol Biogeogr

105

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Issue Geodiversity (i.e., the variation in Earth's abiotic processes and features) has strong effects on biodiversity patterns. However, major gaps remain in our understanding of how relationships between biodiversity and geodiversity vary over space and time. Biodiversity data are globally sparse and concentrated in particular regions. In contrast, many forms of geodiversity can be measured continuously across the globe with satellite remote sensing. Satellite remote sensing directly measures environmental variables with grain sizes as small as tens of metres and can therefore elucidate biodiversity–geodiversity relationships across scales. Evidence We show how one important geodiversity variable, elevation, relates to alpha, beta and gamma taxonomic diversity of trees across spatial scales. We use elevation from NASA's Shuttle Radar Topography Mission (SRTM) and c . 16,000 Forest Inventory and Analysis plots to quantify spatial scaling relationships between biodiversity and geodiversity with generalized linear models (for alpha and gamma diversity) and beta regression (for beta diversity) across five spatial grains ranging from 5 to 100 km. We illustrate different relationships depending on the form of diversity; beta and gamma diversity show the strongest relationship with variation in elevation. Conclusion With the onset of climate change, it is more important than ever to examine geodiversity for its potential to foster biodiversity. Widely available satellite remotely sensed geodiversity data offer an important and expanding suite of measurements for understanding and predicting changes in different forms of biodiversity across scales. Interdisciplinary research teams spanning biodiversity, geoscience and remote sensing are well poised to advance understanding of biodiversity–geodiversity relationships across scales and guide the conservation of nature.

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“…As a result these methodologies cannot be applied to very extensive areas. Serrano and Ruiz‐Flaño (), Hjort and Luoto (, ) and Pellitero et al . () have studied geodiversity of landforms, geological structures, lithologies and soils directly.…”

Section: Methods For Geodiversity Calculationmentioning

confidence: 99%

“…One of the main problems of studying variety in nature is to distinguish elements that are intrinsically similar enough to be considered within a single class (Rosenzweig ). Sometimes such identification would involve a too onerous or time‐consuming fieldwork, so classes are almost impossible to define (Hjort and Luoto ). In these cases indirect methodologies, also called ‘surrogate indicators’ (Ibáñez and García‐Álvarez ), can be as helpful as they are in biodiversity.…”

Section: Methods For Geodiversity Calculationmentioning

confidence: 99%

Mid‐ and large‐scale geodiversity calculation in fuentes carrionas (nw spain) and serra do cadeado (paraná, brazil): methodology and application for land management

Pellitero

Manosso

Cañadas

2015

Geografiska Annaler: Series A, Physical Geography

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Mid-and large-scale geodiversity calculation in Fuentes Carrionas (NW Spain) and Serra do Cadeado (Paraná, Brazil): methodology and application for land management.ABSTRACT. A state-of-the-art geodiversity concept, its use and scientific development are presented. Methodologies for geodiversity calculation are assessed, as well as their aim and problems. Geodiversity calculation methodology based on biodiversity richness index is explained and applied to two different areas: Fuentes Carrionas, a high mountain midlatitude environment in northern Spain, and Serra do Cadeado, a tropical mid-mountain environment in southern Brasil. A geodiversity map of Fuentes Carrionas proves that glacial cirques over 2000 m a.s.l. keep a high geodiversity related to a periglacial and glacial environment, whereas a geodiversity map of Serra do Cadeado shows that high geodiversity areas are situated at its main structural scarp. Geodiversity calculation needs to take scale and hierarchy issues into account, which makes comparison only possible if the same scale is used. Geodiversity calculation is a useful tool for land management as it defines areas subject to protection due to the richness of abiotic elements. It is also useful in terms of environmental impact assessment and geotourism evaluation at remote areas.

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Can geodiversity be predicted from space?

Cited by 46 publications

References 45 publications

Exploring Hawaiian long-term insular geodiversity dynamics

Exploring Hawaiian long-term insular geodiversity dynamics

Towards connecting biodiversity and geodiversity across scales with satellite remote sensing

Mid‐ and large‐scale geodiversity calculation in fuentes carrionas (nw spain) and serra do cadeado (paraná, brazil): methodology and application for land management

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