Exploring spatial patterns of vulnerability for diverse biodiversity descriptors in regional conservation planning

Vimal, Ruppert; Pluvinet, Pascal; Sacca, Céline; Mazagol, Pierre-Olivier; Etlicher, Bernard; Thompson, John D.

doi:10.1016/j.jenvman.2011.09.018

Cited by 16 publications

(31 citation statements)

References 25 publications

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“…Then, a disturbance indicator was calculated for each site as the mean value of the normalized value (from 0 to 1) for each proportion. This disturbance indicator was explicitly tested in this region and was shown to provide a relevant proxy for mapping the spatial distribution of the intensity of human-induced modification of landscape composition (Vimal et al, 2011).…”

Section: Measuring Landscape Disturbancementioning

confidence: 99%

Building relevant ecological indicators with basic data: Species and community specialization indices derived from atlas data

Vimal

Devictor

2015

Ecological Indicators

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A B S T R A C TSpecies and community specialization have become popular indicators to track the spatial and temporal changes of species and community dynamics during current global changes. However, measuring specialization requires detailed and quantitative descriptions of habitat requirements or resource use, which are difficult to obtain for many species. Here, we propose and test a new method to quantify and map the relative composition of specialist and generalist species in local plots compatible with very basic ecological data, typically used for atlases. We used co-occurrence patterns of 1090 plant species recorded in the French Mediterranean region of Languedoc-Roussillon in a systematic grid of 1225 5 Â 5 km atlas cells to estimate species specialization. We then calculated the averaged specialization of each cell and tested several expected relationships of these indices. In particular, we tested the relationship between species richness and average specialization and the relationship between community specialization and landscape disturbance induced by land use. As expected from studies conducted on fine-scale data, we found that specialist species were those with more restricted distributions and occurring in richer species assemblages. We also found that community specialization was maximized at an intermediate level of landscape disturbance. These results suggest that aggregating specialization at large spatial scales provides useful species and community level indicators. Estimating specialization level with cooccurrence data is a good complementary approach to traditional estimations of diversity indices for conservation and landscape planning.

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Section: Measuring Landscape Disturbancementioning

confidence: 99%

Building relevant ecological indicators with basic data: Species and community specialization indices derived from atlas data

Vimal

Devictor

2015

Ecological Indicators

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“…They used a GIS database to evaluate and incorporate biodiversity threats with Fuzzy functions. Vimal et al (2012) used the presence-absence of important species, large areas of high ecological value and landscape diversity to identify spatial patterns of ecological vulnerability.…”

Section: Managementmentioning

confidence: 99%

A critical review of multi-criteria decision making in protected areas

Castro-Pardo

Urios

2016

EARN

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ABSTRACT:Multi-criteria analysis in collaborative decision making can provide a useful tool to improve the governance in protected areas with strong conflicts between stakeholders. This paper offers an in-depth review about MCDM methods in protected areas. The analysis considers the topics Land Use, Management, Species, and Zoning and it is based in two dimensions: Methods and Participation. Topics and MCDM methods and Topics and Participation were significantly related and contrasted using a Chisquared test, respectively. We have identified two groups by topics: Zoning and Species use continuous non participative methods and Land Use and Management use discrete methods with increasing participation. KEYWORDS:Collaborative Decision-Making, Multi-criteria analysis, protected areas. Una revisión crítica de la toma de decisiones multi-criterio en áreas protegidas RESUMEN:El análisis multi-criterio para toma de decisiones colaborativa ofrece una herramienta útil para mejorar la gobernanza en áreas protegidas, con fuertes conflictos de intereses entre agentes. Este artículo ofrece una revisión en profundidad sobre métodos MCDM en áreas protegidas. El análisis considera los temas Uso de la tierra, Gestión, Especies y Zonificación, y se basa en dos dimensiones: Mé-todos y Participación. Los Temas y las Técnicas MCDM y los Temas y la Participación están significativamente correlacionados respectivamente según un test Chi-cuadrado. Hemos identificado dos grupos: Especies y Zonificación usan métodos continuos no participativos y Uso de la tierra y Gestión, utilizan métodos discretos donde la participación es creciente. PALABRAS CLAVE:Análisis multi-criterio, áreas protegidas, toma de decisiones colaborativa.

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“…In the past 50 years, urbanization, expansion of industrial land and construction of transport networks have caused an unprecedented destructive fragmentation of the natural environment and have been increasing the human footprint on natural ecosystems [2]. The loss of natural space caused by land use changes has become the main threat to ecological security [6]. Scholars have gradually realized that an explicit evaluation framework should be constructed to identify the importance of space sensitive to human and ecological connectivity.…”

Section: Introductionmentioning

confidence: 99%

“…Currently, identifications of key regional eco-space have primarily employed a single characteristic, e.g., water security, biodiversity conservation, soil erosion protection and green space [6,8,9,10,11,12]. For biodiversity conservation, Rouget et al [8] developed a method to identify the spatial components of the ecological and evolutionary processes important for regional conservation planning using GIS.…”

Section: Introductionmentioning

confidence: 99%

“…For biodiversity conservation, Rouget et al [8] developed a method to identify the spatial components of the ecological and evolutionary processes important for regional conservation planning using GIS. Vimal et al [6] developed a multi-criteria assessment method to identify the vulnerable areas by three factors: The presence of rare or remarkable species, extensive areas of high ecological integrity, and landscape diversity. Zhang et al [13] combined an ecological conceptual model of landscape with assessment methods to evaluate of ecosystem service functions and established a spatial analysis model for urban minimum ecological land using GIS.…”

Section: Introductionmentioning

confidence: 99%

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Identifying Regional Key Eco-Space to Maintain Ecological Security Using GIS

Xie

Yao

Wang

2014

IJERPH

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Ecological security and environmental sustainability are the foundations of sustainable development. With the acceleration of urbanization, increasing human activities have promoted greater impacts on the eco-spaces that maintain ecological security. Regional key eco-space has become the primary need to maintain environmental sustainability and can offer society with continued ecosystem services. In this paper, considering the security of water resources, biodiversity conservation, disaster avoidance and protection and natural recreation, an integrated index of eco-space importance was established and a method for identifying key eco-space was created using GIS, with Lanzhou City, China as a case study. The results show that the area of core eco-space in the Lanzhou City is approximately 50,908.7 hm2, accounting for 40% of the region’s total area. These areas mainly consist of geological hazard protection zones and the core zones of regional river systems, wetlands, nature reserves, forest parks and scenic spots. The results of this study provide some guidance for the management of ecological security, ecological restoration and environmental sustainability.

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Exploring spatial patterns of vulnerability for diverse biodiversity descriptors in regional conservation planning

Cited by 16 publications

References 25 publications

Building relevant ecological indicators with basic data: Species and community specialization indices derived from atlas data

Building relevant ecological indicators with basic data: Species and community specialization indices derived from atlas data

A critical review of multi-criteria decision making in protected areas

Identifying Regional Key Eco-Space to Maintain Ecological Security Using GIS

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