The power of potential natural vegetation (and of spatial‐temporal scale): a response to Carrión &amp; Fernández (2009)

Farris, Emmanuele; Filibeck, Goffredo; Marignani, Michela; Rosati, Leonardo

doi:10.1111/j.1365-2699.2010.02323.x

Cited by 45 publications

(30 citation statements)

References 33 publications

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“…(), Farris et al. () and Mucina (), rather we will attempt to complement these publications and will address the main questions raised in the critique of the validity and usefulness of PNV. We are aware that this debate involves two levels that are all too frequently confused: one concerns the specific procedures adopted by practitioners of PNV mapping, and the other relates to the unpredictability of ecological succession and hence the validity of any prediction about its trajectories and outcomes.…”

Section: Introductionmentioning

confidence: 99%

Potential natural vegetation: reburying or reboring?

Arregui

Fernández‐González

2012

J Vegetation Science

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This paper deals with the recent debate on the potential natural vegetation (PNV) concept. After reviewing its limitations with respect to understanding of the processes involved in secondary succession, spatial and temporal scaling and data processing, we still consider it a useful tool for summarizing knowledge about a territory in a way that can guide good practice in nature conservation, and for hypothesis generation. Mapping PNV has a descriptive aim and offers the possibility of depicting not only a 'natural' scenario according to the extant vegetation types and current environmental factors, but also an ecological description of the territory. It is not a commitment to build any ideal stage of nature but it can contribute to better management by providing targets for restoration and improving naturalness, ecosystem conservation and biodiversity preservation. Constant development of the concept, through discussion, improvement of methods and incorporation of new knowledge, is necessary, but we are reluctant to accept the idea of abandoning it because a part of what has been achieved to date in nature conservancy management using PNV could be lost, as arguments supporting naturalness would be weakened.… through the graves the wind is blowing … (L. Cohen)

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Section: Introductionmentioning

confidence: 99%

Potential natural vegetation: reburying or reboring?

Arregui

Fernández‐González

2012

J Vegetation Science

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“…Such information is essential to understand vegetation distribution and structure (e.g. Box, 1996;Ríos-Cornejo, del Río, & Penas, 2012), to perform habitat modeling (Guisan & Zimmerman, 2000) and to analyze vegetation dynamics, subsequently allowing the reconstruction of vegetation series and potential natural vegetation (Blasi, Filibeck, Frondoni, Rosati, & Smiraglia, 2004;Blasi et al, 2012;Farris, Filibeck, Marignani, & Rosati, 2010). Furthermore, bioclimatic models, focusing on climatic thresholds of species distributions, can predict the responses of living organisms to climate change (Huntley, Berry, Cramer, & McDonald, 1995;Pearson & Dawson, 2003;Walther, Berger, & Sykes, 2005) because integrated and biologically relevant combinations are better suited to exploring potential ecosystem response to changing climates than raw climate data (Torregrosa, Taylor, Flint & Flint, 2013).…”

Section: Introductionmentioning

confidence: 99%

Bioclimate map of Sardinia (Italy)

et al. 2014

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Bioclimatology deals with the interrelation between climate and living organisms, in particular, plants and plant communities, considering the main climate variables that are relevant for species distribution. In this context spatial interpolation of monthly temperature and precipitation data using 203 rain gauges and 68 temperature gauges for Sardinia (Italy) was undertaken. As interpolation technique, we used regression kriging which combines multiple linear regression (MLR) with ordinary kriging of the residuals. MLR procedures include as independent variables: altitude, latitude, longitude, coast distance and a topographic factor of relative elevation. Elevation data were obtained from digital elevation model at 40 m resolution. Following the approach of the Worldwide Bioclimatic Classification System, a bioclimatic diagnosis of the entire territory was derived using map algebra calculations of the bioclimatic indices proposed by Rivas-Martínez et al. [(2011). Worldwide Bioclimatic classification system. Global Geobotany, 1, 1 -638]. Two macrobioclimates (Mediterranean pluviseasonal oceanic and Temperate oceanic), one macrobioclimatic variant (Submediterranean), and four classes of continentality (from weak semihyperoceanic to weak semicontinental), eight thermotypic horizons (from lower thermomediterranean to upper supratemperate) and seven ombrotypic horizons (from lower dry to lower hyperhumid) were identified, resulting in a combination of 43 isobioclimates. The resulting map represents a useful environmental stratum, for regional planning, ecological modeling and biodiversity conservation.

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“…It should be based on the most mature vegetation stage that can currently be observed on a certain site type (Farris et al 2010;Loidi et al 2010). Criteria for selecting reference vegetation that serves for PNV construction are often not clearly proposed.…”

Section: Integrating the Afs Concept Into Pnv Constructionmentioning

confidence: 99%

Application of the Ancient Forest Concept to Potential Natural Vegetation Mapping in Flanders, A Strongly Altered Landscape in Northern Belgium

et al. 2012

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Construction of potential natural vegetation (PNV) poses particular challenges in landscapes heavily altered by human activity and must be based on transparent, repeatable methods. We integrated the concept of ancient forest (AF) and ancient forest species (AFS) into a four-step procedure of PNV mapping: 1) classification of forest vegetation relevés; 2) selection of those vegetation types that can serve as PNV units, based on AF and AFS; 3) merging of selected vegetation types into five PNV units that can be predicted from a digital morphogenetic soil map; 4) mapping of three additional PNV units based on additional environmental data. The second step, concerning the selection of reference forest vegetation, is of particular interest for PNV construction in Flanders (northern Belgium), where forest Folia Geobot cover has been subject to temporal disruption and spatial fragmentation. Among the variety of extant forest recovery states, we chose as PNV units those vegetation types for which a high proportion of relevés had been located in AF and that contained many AFS. As the frequency of AFS depends on site conditions, we only compared and selected vegetation types that are found on similar sites according to average Ellenberg indicator values. While succession is irrelevant for the definition of PNV, colonization rates of AFS can be used to estimate the time required for PNV to be restored in a site.

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The power of potential natural vegetation (and of spatial‐temporal scale): a response to Carrión & Fernández (2009)

Cited by 45 publications

References 33 publications

Potential natural vegetation: reburying or reboring?

Potential natural vegetation: reburying or reboring?

Bioclimate map of Sardinia (Italy)

Application of the Ancient Forest Concept to Potential Natural Vegetation Mapping in Flanders, A Strongly Altered Landscape in Northern Belgium

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