Managing Landscapes for Conservation Under Uncertainty

Burgman, Mark A.; Lindenmayer, David B.; Elith, Jane

doi:10.1890/04-0906

Cited by 164 publications

(135 citation statements)

References 104 publications

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“…They can shift significantly as more and better-quality data become available. Priorities may also be founded on subjective impressions, or be swayed by political influence, context dependence, and motivational bias (Burgman et al 2005). Most importantly, conservation investment based on priorities fed by poor data is more likely to fall short of its Fig.…”

Section: When Data and Capacity Are Inadequatementioning

confidence: 99%

Prioritizing species, pathways, and sites to achieve conservation targets for biological invasion

Genovesi²,

et al. 2015

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Prioritization is indispensable for the management of biological invasions, as recognized by the Convention on Biological Diversity, its current strategic plan, and specifically Aichi Target 9 that concerns invasive alien species. Here we provide an overview of the process, approaches and the data needs for prioritization for invasion policy and management, with the intention of informing and guiding efforts to address this target. Many prioritization schemes quantify impact and risk, from the pragmatic and action-focused to the data-demanding and science-based. Effective prioritization must consider not only invasive species and pathways (as mentioned in Aichi Target 9), but also which sites are most sensitive and susceptible to invasion (not made explicit in Aichi Target 9). Integrated prioritization across these foci may lead to future efficiencies in resource allocation for invasion management. Many countries face the challenge of prioritizing with little capacity and poor baseline data. We recommend a consultative, science-based process for prioritizing impacts based on species, pathways and sites, and outline the information needed by countries to achieve this. This should be integrated into a national process that incorporates a broad suite of social and economic criteria. Such a process is likely to be feasible for most countries.

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Section: When Data and Capacity Are Inadequatementioning

confidence: 99%

Prioritizing species, pathways, and sites to achieve conservation targets for biological invasion

Genovesi²,

et al. 2015

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“…Reyers et al 2002), and is essential for efficient surveying. Standardization is a prerequisite to quantify uncertainty, and estimation of false absences is the first step towards managing landscapes for conservation under uncertainty (Burgman et al 2005).…”

Section: Methods Outlinementioning

confidence: 99%

The Need for Large-Scale, Integrated Studies of Biodiversity - the Experience of the Program for Biodiversity Research in Brazilian Amazonia

Costa¹,

Magnusson²

2010

Nat. Conserv.

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“…acresce o facto dos factores ambientais que controlam a distribuição das espécies e comunidades se modificarem em função da escala, o que torna difícil a sua redução (downscaling) e a sua aplicabilidade em pequenas áreas. ao invés, o carácter predictivo do sDM permite a obtenção da distribuição das espécies, comunidades e adequabilidade de habitat, podendo ainda este modelo integrar e responder a impactos de mudanças ambientais, quer sejam motivadas por alterações climáticas ou devido às dinâmicas de transformação do uso e ocupação do solo (wu e smeins, 2000;g ibson et al, 2004;rushton et al, 2004;araújo et al, 2005a;Burgman et al, 2005;wisz et al, 2008). Portanto, é fundamental definir o padrão e a escala de análise (elton, 1927; scott et al, 2002), em que o objectivo poderá basear-se apenas na carac terização geral dos factores que determinam a distribuição e ocorrência das espécies e comunidades proveniente de cartografia de referência a uma escala regional ou global ou, por outro lado, no desenvolvimento de cartografia predictiva desde a escala local à global assente em diferentes técnicas de modelação (Cumming, 2000;segurado e araújo, 2004;thuiller et al, 2004;araújo et al, 2005b).…”

Section: Vegetação Natural Potencial (Vnp) E Os Modelos De Distribuiçunclassified

Modelação Preditiva Da Vegetação Natural Potencial Do Concelho De Loures.

Gutierres¹

2015

FIT

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Resumo -O conceito de Vegetação natural Potencial (VnP) e a sua representação cartográfica assume uma importância primordial para a maioria dos países europeus nas questões relacionadas com o restauro de habitats. Dada a relação existente entre as séries de vegetação de um território e os factores ambientais, este artigo visa o desenvolvimento de modelação predictiva da VnP para o concelho de Loures (aML). atendendo à possibilidad e de integração de um vasto conhecimento empírico, utilizou-se uma abordagem de modelação precedida de classificação de séries de vegetação (classification-then-modelling). Para averiguar a relação entre 6 séries de vegetação e um conjunto de 8 variáveis ambientais recorr eu-se a Modelos de Distribuição de espécies (sDM) aplicados ao nível da comunidade, suportados em sistemas de informação geográfica (sig) e em modelos de regressão, machine learning e rule-based. Os resultados obtidos permitiram aferir o modo como os gradientes ecológicos determinam a ocorrência das séries de vegetação. a cartografia predictiva da VnP resultante do modelo da Máxima entropia, foi ainda validada com a cartografia oficial da VnP do concelho de Loures (precisão global de 88%). Dado que a gestão e conservação da biodiversidade é frequentemente desenvolvida a escalas de grand e detalhe, o sDM possibilita a integração de observações directas de comunidades vegetais, e uma interpretação da distribuição local da VnP ao longo de gradientes ambientais. (lisbon MetroPolitan area). the concept of Potential natural Vegetation (PnV) and its mapping have become extremely important within the scope of habitat restoration in almost every european country. the aim of this study is to predict the PnV in Loures based on the vegetation series and the main environmental variables. the modelling approach is based on the distribution of communities referred to as classification-thenmodelling. subsequently, several statistical model-fitting techniques, such as regression models, machine learning and rule-based, were successfully applied to the survey data (vegetation series; and 8 environmental/predictor variables). the spatial database was organized as a geo graphic information system (gis) and was also used to perform the species Distribution Models (sDM) at community level. the results show a high corres pondence between the vegetation series and the environmental gradients. the predicted PnV maps based on the Maximum entropy Model were validated with the official map of the PnV of Loures, and presented an overall accuracy of 88%. Often, conservation planning and biodiver sity resource management is carried out at more detailed scales, where sDM allows integration of community direct observations and improve our interpretation of PnV local distributions along environmental gradients. PalavrasKey words: Potential natural Vegetation, vegetation series, spatial modeling and land use planning, Loures (Portugal).Résumé -uM Modèle Prédictif de la végétation naturelle du concelho de loures. Le concept de Végétation naturelle Pote...

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Managing Landscapes for Conservation Under Uncertainty

Cited by 164 publications

References 104 publications

Prioritizing species, pathways, and sites to achieve conservation targets for biological invasion

Prioritizing species, pathways, and sites to achieve conservation targets for biological invasion

The Need for Large-Scale, Integrated Studies of Biodiversity - the Experience of the Program for Biodiversity Research in Brazilian Amazonia

Modelação Preditiva Da Vegetação Natural Potencial Do Concelho De Loures.

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