Selecting areas for species persistence using occurrence data

Araújo, Miguel B.; Williams, Paul H.

doi:10.1016/s0006-3207(00)00074-4

Cited by 354 publications

(294 citation statements)

References 53 publications

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“…The threshold used in this transformation influences not only the predicted distribution area for the conservation features, but also the outputs of conservation planning process and has to be carefully set to ensure a suitable use (Wilson et al, 2005b). Moreover, some reserve selection methods based on presence-absence data may fail to consider persistence of targets in reserve selection (Araújo & Williams, 2000;or Teeffelen et al, 2006). We dealt with persistence more thoroughly by using present probabilities of occurrence (see Cabeza et al 2004), instead of potential probabilities of sites used in the reference condition approach (see Linke et al 2007).…”

Section: Discussionmentioning

confidence: 99%

“…We dealt with persistence more thoroughly by using present probabilities of occurrence (see Cabeza et al 2004), instead of potential probabilities of sites used in the reference condition approach (see Linke et al 2007). This probability of occurrence indicates the likelihood with which a species is present in a planning unit considering different species-dependent factors such as habitat quality requirements or vulnerability to threats (Araújo & Williams, 2000). Instead of using just reference site distributions (Linke et al 2007), our present distribution models were built on the whole datasetusing even sites with perturbed fish communities and including human-influenced C o p y f o r R e v i e w environmental variables as predictors.…”

Section: Discussionmentioning

confidence: 99%

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Addressing longitudinal connectivity in the systematic conservation planning of fresh waters

et al. 2010

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Summary 1. Freshwater conservation has received less attention than its terrestrial or marine counterparts. Given the accelerated rate of change and intensive human use that freshwater ecosystems are submitted to, it is urgent to focus more attention on fresh waters. Existing conservation planning tools – such as Marxan – need to be modified to account for the special nature of these systems. Connectivity plays a key role in freshwater ecosystems. Threats are mediated along river corridors, and the condition of the entire catchment influences river biodiversity downstream. This needs to be considered in conservation planning. 2. The probabilities of occurrence of nine native freshwater fish species in a Mediterranean river basin, obtained from Multivariate Adaptive Regression Splines‐ Generalized Linear Model (MARS‐GLM) models, were used as features to develop spatial conservation priorities. The priorities accounted for complementarity and spatial design issues. 3. To deal with the connected nature of rivers, we modified Marxan’s boundary length penalty, avoiding the selection of isolated planning units and forcing the inclusion of closer upstream areas. We introduced ‘virtual boundaries’ between non‐headwater stream segments and added distance‐weighted penalties to the overall connectivity cost (CP) when stream segments upstream of the selected planning units are not selected. 4. This approach to prioritising connectivity is concordant with ecological theory, as it considers the natural and roughly exponential decay of upstream influences with distance. It accounts for the natural capacity of rivers to mitigate impacts when designing reserves. When connectivity was not emphasised, Marxan prioritised natural corridors for longitudinal movements. In contrast, whole sub‐basins were prioritised when connectivity was emphasised. Changing the relative emphasis on connectivity substantially changed the spatial prioritisation; our conservation investment could move from one basin to another. 5. Our novel approach to dealing with directional connectivity enables managers of freshwater systems to set ecologically meaningful spatial conservation priorities.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Addressing longitudinal connectivity in the systematic conservation planning of fresh waters

et al. 2010

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“…Si asumimos que el efecto de estos cambios en la composición aumenta con la distancia entre las unidades territoriales, es más probable que dos unidades similares faunísticamente, pero separadas espacialmente, presenten determinadas singularidades en su composición. Ello puede deberse a: i) que la conectividad y la persistencia de las poblaciones se vea interrumpida (Araújo & Williams, 2000;Ferrier, 2002), y/o ii) que la actuación de factores contingentes histórico-geográficos haya provocado pequeñas variaciones entre sus inventarios (Ricklefs & Schluter, 1993). Debido a ello, se ha calculando el producto de la matriz de distancias geográficas entre las unidades territoriales (distancia euclídea a partir de su latitud y longitud) y la matriz original de distancias faunísticas.…”

Section: Clasificaciónunclassified

Una estrategia para obtener regionalizaciones bióticas fiables a partir de datos incompletos: el caso de los escarabeidos (Coleoptera, Scarabaeinae) ibérico-baleares

Hortal¹,

Lobo²,

Martín-Piera³

2003

GRAELLSIA

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RESUMENSe presenta un método para obtener regionalizaciones basadas en los organismos a partir de datos corológicos incompletos, utilizando como ejemplo los escarabeidos ibéricos (Col., Scarabaeinae). A partir de las unidades territoriales bien muestreadas, realizamos en primer lugar un análisis de ordenación, en el que se identificaron cuatro ejes faunísticos. Posteriormente, los valores de estos ejes se extrapolaron a todo el territorio ibérico mediante Modelos Lineales Generalizados. Con los valores predichos para estos ejes se desarrolló una matriz de distancias faunísticas. A partir de ella, y de las distancias geográficas entre unidades territoriales, se obtuvo una nueva matriz de distancias faunístico-geográficas. Esta matriz fue utilizada para realizar la clasificación final de todo el territorio, obteniéndose ocho regiones faunísticas diferentes. Finalmente, se comentan los resultados obtenidos, identificando las diferencias en su composición y riqueza regional y local. Palabras clave: regionalización, clasificación, ordenación, modelos predictivos, Scarabaeinae, Península Ibérica. ABSTRACTA strategy to obtain reliable biotic regionalizations from incomplete data: the case of IberoBalearic dung beetles (Coleoptera, Scarabaeinae)A method to obtain regionalizations based in the organisms from incomplete distributional data is presented, using Iberian scarabaeine (Col., Scarabaeinae) as an example. A first ordination analysis was carried out using the well-sampled territorial units, where four faunistic axes were identified. Then, the scores of these axes were extrapolated to the whole Iberian territory by means of General Linear Modelling. A faunistic distance matrix was developed using the predicted values for the four axes. Using this matrix and the geographic distances among territorial units, a new matrix, reflecting both the compositional and geographic distances was obtained. This matrix was used to carry out the final classification of all the territory, where eight different faunistic regions were obtained. Finally, the results are briefly discussed, and their composition and local and regional richness are described.

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“…On the other hand, niche-based models project species distributions by analyzing the relationships between species distributions and a number of environmental variables (Synes & Osborne, 2011). Although these relatively simple models may under-represent complex natural systems by neglecting competitive interactions, species plasticity, adaptation and time-lag (Davis et al, 1998;Hannah et al, 2002;Pearson & Dawson, 2003), with a good understanding of the modelling techniques, and appropriate model validation and testing, they can be regarded as the primary tools for projecting species range shifts and extinction risk, evaluating conservation priorities and assessing reserve designs (Ara ujo & Williams, 2000;Akcakaya et al, 2006;Hijmans & Graham, 2006;Gallagher et al, 2013;Duckett et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Climate change‐induced decline in bamboo habitats and species diversity: implications for giant panda conservation

Wong

et al. 2014

Diversity and Distributions

101

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Aim Conservation strategies must anticipate how climate change may alter the geographic distributions of limited food resources for highly specialized species. Here, we use bamboo as a case study to investigate climate change-induced changes in species diversity and discuss how to protect the critical food species for giant pandas.Location Giant panda habitats.Methods Using a niche-based model and the most updated climate projections, we projected the current and future distribution of 16 bamboo species under no and universal dispersal assumptions. We then assessed the impact of climate change on bamboo forests and their alpha and beta diversities in the giant panda habitats and reserves.Results Under both dispersal assumptions and three RCPs, six bamboo species are projected to vanish from panda habitats as climate change progresses, resulting in a great loss of the current bamboo forests. Although about half of the bamboo species may potentially colonize new climatically suitable areas under universal dispersal, the other species would experience significant habitat loss. Consequently, climate change would reduce both the alpha and beta diversity of bamboo species in panda habitats. Meanwhile, the proportion of single-species bamboo forests would significantly increase. The decline in bamboo forests and diversity would be most drastic in Qinling, Daxiangling and Qionglaishan Mountains, whereas those in the north-west of Minshan Mountains and Liangshan Mountains may increase.Main conclusions Climate change-induced decline in bamboo habitats and species diversity would pose a severe challenge to the food availability of giant pandas. We posit that human-assisted adaptation and increasing bamboo species diversity are critical to ensuring food security of the giant panda in a changing climate. Our results indicate that conservation planning should not only incorporate species range shifts but also diversity patterns in communities under climate change.

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Selecting areas for species persistence using occurrence data

Cited by 354 publications

References 53 publications

Addressing longitudinal connectivity in the systematic conservation planning of fresh waters

Addressing longitudinal connectivity in the systematic conservation planning of fresh waters

Una estrategia para obtener regionalizaciones bióticas fiables a partir de datos incompletos: el caso de los escarabeidos (Coleoptera, Scarabaeinae) ibérico-baleares

Climate change‐induced decline in bamboo habitats and species diversity: implications for giant panda conservation

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