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71 results for “conservation planning”

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zenodo48/100

Reviewed literature on the state of conservation planning in Europe

<p><strong>Literature review of European conservation planning studies</strong></p> <p>The data table uploaded here contains reviewed literature as part of the manuscript &quot;An assessment of the state of conservation planning in Europe&rdquo; by Jung et al.&nbsp;that is currently in Review. In this work we reviewed all available scientific literature broadly dealing with conservation planning in various facets and across realms (terrestrial, freshwater, marine). The database provided here thus provides a comprehensive starting point of all scientific conservation planning studies conducted in Europe up until mid 2023.</p> <p>The dataset is derived from a Scopus literature query conducted on the 23th of September 2022, which resulted in an initial 1459 studies which were further refined and supplemented by evidence known to the authors.</p> <p>---</p> <p># <strong>Description of table columns</strong>:</p> <ul> <li>&quot;ID&quot; = Numeric Identifier of the study</li> <li>&quot;Extent&quot; = Scale the study was conducted, from local, regional, national to European wide</li> <li>&quot;Region&quot; = The broad region with regards to European country</li> <li>&quot;Locality&quot; = Additional detail on the locality of the study if easily available</li> <li>&quot;Realm&quot; = Which realm does the study cover (e.g. Terrestrial, Marine, ...)</li> <li>&quot;Ecosystem.specificity&quot; = Was the study conducted only for specific ecosystems (e.g. Forests)?</li> <li>&quot;Period&quot; = Over which period was the study conducted (Present only, future conditions, both)</li> <li>&quot;Planning.purpose&quot; = What was the purpose of the study?</li> <li>&quot;Policy.relevance&quot; = Specific policy directives or legal documents referred to in the study introduction.</li> <li>&quot;Method&quot; = Which method was used for the planning purpose (i.e., Zonation, Marxan, ...)</li> <li>&quot;Biodiversity.type; = What type of Biodiversity data was included in the study?</li> <li>&quot;Number.of.features&quot; = How many number of features?</li> <li>&quot;Multiple.objectives.or.constraints&quot; = Did the study somehow account for multiple objectives or constraints?</li> <li>&quot;Connectivity&quot; = Was connectivity somehow considered and if so, how?</li> <li>&quot;Costs&quot; = Were socio-economic costs somehow considered?</li> <li>&quot;Stakeholder.involvement&quot; = Were stakeholders involved in the planning exercise at any point?</li> <li>&quot;Authors&quot; = Authors of the study</li> <li>&quot;Title&quot; = The title of the study</li> <li>&quot;Year&quot; = The year it was published</li> <li>&quot;Journal&quot; = The scientific journal were it was published</li> <li>&quot;DOI&quot; = A Digital Object identifier link (can sometimes be missing)</li> <li>&quot;Link&quot; = A link to the journal website (can be missing)</li> <li>&quot;Author.Keywords&quot; = Keywords by the authors given to the study (can be missing)</li> <li>&quot;Index.Keywords&quot; = Keywords captured by SCOPUS for the study (can be missing)</li> <li>&quot;Document.Type&quot; = Type of article</li> <li>&quot;Source&quot; = Derived from SCOPUS or manually added through a snowballing approach?</li> <li>&quot;cite_scientific_May2023&quot; = How often cited in the scientific literature by May 2023?</li> <li>&quot;cite_policy_May2023&quot; = How often cited in policy literatue by May 2023?</li> </ul> <p>---</p> <p>The analysis code supporting the manuscript and analysing the dataset presented here can be found <a href="https://github.com/Martin-Jung/Review_EuropeanConservationPlanning">here</a>. A preprint of the manuscript can be found <a href="http://dx.doi.org/10.31219/osf.io/8x2ug">here</a>.</p>

opencc-by-4.0Jun 2023View details →
zenodo40/100

Fig. 5 in Bird Diversity Differs Between Industrial Tree Plantations On Borneo: Implications For Conservation Planning

Fig. 5. Nonlinear multidimensional scaling of bird survey data pooled by point-transect. Vectors represent correlations between the ordination and habitat variables. Vectors and Pearson correlation coefficients are plotted for habitat variables with an r2&gt; 0.200 for axis 1.

opencc-by-4.0Aug 2011View details →
zenodo40/100

Fig. 4 in Bird Diversity Differs Between Industrial Tree Plantations On Borneo: Implications For Conservation Planning

Fig. 4. Plots of (A) species and (B) individual rates (from Fig. 1) versus number of species listed by www.birdlife.org (Table 1) per habitat type.

opencc-by-4.0Aug 2011View details →
zenodo40/100

Fig. 1 in Bird Diversity Differs Between Industrial Tree Plantations On Borneo: Implications For Conservation Planning

Fig. 1. Map of forest occurrence in Borneo in 2005 (WWF-Malaysia, 2005) showing the localities of the Sarawak Planted Forest Project and Sabah Softwoods plantation.

opencc-by-4.0Aug 2011View details →
zenodo40/100

Fig. 1 in Working towards a conservation plan for fish parasites: Cyprinid parasites from the south African cape fold freshwater ecoregion as a case study

Fig. 1. Map illustrating localities where the five cyprinid hosts were collected in the Cape Fold ecoregion in the Western Cape, South Africa.

opencc-by-4.0Aug 2023View details →
zenodo40/100

Fig. 7 in Working towards a conservation plan for fish parasites: Cyprinid parasites from the south African cape fold freshwater ecoregion as a case study

Fig. 7. Rarefaction/extrapolation curve estimating the diversity of parasites as a function of sampling effort for three of the five hosts collected in the OlifantsDoorn River System, Western Cape Province, South Africa. Shaded area represents the 95% confidence interval obtained using the bootstrap method based on 100 repetitions. Created using iNEXT Online (Chao et al., 2016).

opencc-by-4.0Aug 2023View details →
zenodo40/100

Fig. 4 in Working towards a conservation plan for fish parasites: Cyprinid parasites from the south African cape fold freshwater ecoregion as a case study

Fig. 4. Pseudobarbus calidus (Barnard, 1938) (max. length: 125 mm) (A). Sclerites of Paradiplozoon sp. from the gills (B). Acanthocephala from the body cavity, whole specimen (C) and hooks on proboscis (top left insert). Larval Contracaecum sp. from the body cavity, anterior (D) and posterior (E) ends, lateral view. Scale bars: 100 μm (B, C, D, E).

opencc-by-4.0Aug 2023View details →
zenodo40/100

Fig. 6 in Working towards a conservation plan for fish parasites: Cyprinid parasites from the south African cape fold freshwater ecoregion as a case study

Fig. 6. Sedercypris erubescens (Skelton, 1974) (max. length: 120 mm) (A). Larval Contracaecum sp. from the body cavity, anterior (B) and posterior (C) ends, lateral view. Scale bars: 100 μm (B, C).

opencc-by-4.0Aug 2023View details →
zenodo40/100

Fig. 5 in Working towards a conservation plan for fish parasites: Cyprinid parasites from the south African cape fold freshwater ecoregion as a case study

Fig. 5. Pseudobarbus phlegethon (Barnard, 1938) (max. length: 65 mm) (A); Acanthogyrus sp. found from the body cavity (B). Scale bar: 500 μm.

opencc-by-4.0Aug 2023View details →
zenodo40/100

Fig. 3 in Working towards a conservation plan for fish parasites: Cyprinid parasites from the south African cape fold freshwater ecoregion as a case study

Fig. 3. Labeobarbus seeberi (Gilchrist et Thompson, 1913) (max. length: 270 mm) (A); Myxobolus sp. (B) and Dactylogyrus sp. from the gills of L. seeberi, hamuli and marginal hooks (C), male copulatory complex (D) and vagina (E). Lateral view of Rhabdochona sp. 2 from the intestine, anterior end of female (F) and male (G), posterior end of male (H); metacercariae of Diplostomidae (I) from black cysts on skin. Scale bars: 10 μm (B); 50 μm (D, E); 100 μm (C, F, G, H, I).

opencc-by-4.0Aug 2023View details →
zenodo40/100

Fig. 2 in Working towards a conservation plan for fish parasites: Cyprinid parasites from the south African cape fold freshwater ecoregion as a case study

Fig. 2. Cheilobarbus serra (Peters, 1864) (max. length: 350 mm) (A); adult Paradiplozoon sp. (B) and sclerites in attachment clamps (C, D) found on the gills; hamuli of Gyrodactylus sp. (E) and marginal hooks (F), and a pre-metamorphic stage of the copepod belonging to the Lernaeidae (G), both from the gills. Anterior (H) and posterior (I) ends of Rhabdochona sp. 1 (lateral view) from the intestine; (J) whole specimen of the Caryophyllidea. Scale bars: 10 μm (E, F); 100 μm (C, D, G, H, I); 500 μm (B); 1000 μm (J).

opencc-by-4.0Aug 2023View details →
dryad36/100

Data From: Conservation planning in an uncertain climate: identifying projects that remain valuable and feasible across future scenarios

<p>Conservation actors face the challenge of allocating limited resources despite uncertainty about future climate. A key goal is to minimize the potential for negative outcomes under future scenarios. Thus, we address a global conservation challenge: how to allocate conservation investments given high uncertainty about future climate conditions. To that end, we present a method for identifying projects that remain valuable and feasible across climate scenarios and apply our framework to freshwater biodiversity conservation in the South-Central USA. We combine data from a recent high-resolution hydrologic planning tool and species distribution models to estimate the conservation feasibility and biodiversity value of river reaches below 38 major reservoirs in the Red River basin.We find that only 13% of sites have high conservation priority across all future climate scenarios and that spatial patterns of conservation priority largely reflect patterns of water availability and fish biodiversity.</p>

opencc-zeroOct 2020View details →
dryad36/100

Data from: Constrained optimization of landscape indices in conservation planning to support ecological restoration in New Caledonia

<p>1. Curbing habitat loss, reducing fragmentation, and restoring connectivity are frequent concerns of conservation planning. In this respect, the incorporation of spatial constraints, fragmentation, and connectivity indices into optimization procedures is an important challenge for improving decision support.</p> <p>2. Here we present a novel optimization approach developed to accurately represent a broad range of conservation planning questions with spatial constraints and landscape indices. Relying on constraint programming, a technique from artificial intelligence based on automatic reasoning, this approach provides both constraint satisfaction and optimality guarantees.</p> <p>3. We applied this approach in a real case study to support managers of the ``Côte Oubliée -- `Woen Vùù -- Pwa Pereeù'' provincial park project, in the biodiversity hotspot of New Caledonia. Under budget, accessibility, and equitable allocation constraints, we identified restorable areas optimal for reducing forest fragmentation and improving inter-patch structural connectivity, respectively measured with the effective mesh size and the integral index of connectivity.</p> <p>4. Synthesis and applications. Our work contributes to more effective and policy-relevant conservation planning by providing a spatially-explicit and problem-focused optimization approach. By allowing an exact representation of spatial constraints and landscape indices, it can address new questions and ensure whether the solutions will be socio-economically feasible, through optimality and satisfiability guarantees. Our approach is generic and flexible, thus applicable to a wide range of conservation planning problems such as ecological restoration planning, reserve or corridor design.</p>

opencc-zeroNov 2020View details →
dryad36/100

Data from: Factoring economic costs into conservation planning may not improve agreement over priorities for protection

Conservation organizations must redouble efforts to protect habitat given continuing biodiversity declines. Prioritization of future areas for protection is hampered by disagreements over what the ecological targets of conservation should be. Here we test the claim that such disagreements will become less important as conservation moves away from prioritizing areas for protection based only on ecological considerations and accounts for varying costs of protection using return-on-investment (ROI) methods. We combine a simulation approach with a case study of forests in the eastern United States, paying particular attention to how covariation between ecological benefits and economic costs influences agreement levels. For many conservation goals, agreement over spatial priorities improves with ROI methods. However, we also show that a reliance on ROI-based prioritization can sometimes exacerbate disagreements over priorities. As such, accounting for costs in conservation planning does not enable society to sidestep careful consideration of the ecological goals of conservation.

opencc-zeroDec 2016View details →
zenodo36/100

Fig. 2 in Bird Diversity Differs Between Industrial Tree Plantations On Borneo: Implications For Conservation Planning

Fig. 2. Species accumulation curves for (A) Sabah Softwoods and (B) Sarawak Planted Forest Project.

opencc-by-4.0Aug 2011View details →
dryad36/100

Data for: Planning for a future of changes: prioritizing areas for conservation of small mammals in the Caatinga, Brazil

<p>Human land use and climate change are two of the main threats affecting biodiversity, especially in arid/semiarid regions. The most effective way to protect the species in these ecosystems against these threats is through the delimitation of Protected Areas (PAs). However, such PAs need to be targeted cost-efficiently and consider future climate change. We identify priority areas to preserve small mammal species in the Caatinga in the present and in the future of climate change. We also evaluate how well these priority areas are protected by current PAs and identify ways forward to improve their protection. We use ecological niche models and Zonation spatial prioritisation software to identify the top 30% priority areas to preserve small mammal species under current climate and land use scenarios, besides considering optimistic and pessimistic scenarios of future climate change. We also evaluate how much these priority areas are covered by current PAs, identify ways to further improve their protection using hierarchical mask analysis, and evaluate species mean distribution coverage. The consequences of climate change will not hugely impact the distribution of priority areas for species conservation in the Caatinga. Around 13% of the identified priority areas overlap with current PAs, and planning the expansion of PAs considering integral protection areas increases the coverage of priority areas to more than 18% and captures more than 72% of species-suitable areas. Our prioritisations take into account climate change and provide low risk if conducted as a "no-regrets" conservation action. These priority areas are poorly supported by the Brazilian PA system, and need of further protection. One cost-effective option could be to upgrade some Sustainable Use PAs into more restrictive ones. Securing these priority areas helps preserve the long-term ecosystem functioning and to prevent biodiversity loss in a changing world.</p>

opencc-zeroMay 2024View details →
zenodo36/100

Dataset for the paper: Integrated spatial planning for biodiversity conservation and food production

<p>This dataset includes the input and output files&nbsp;associated with the article&nbsp;</p> <p>Fastr&eacute;, C.<sup> </sup>, van Zeist, W-J., Watson, J.E.M.<span> </span>and Visconti, P. (2021) Integrated spatial planning for biodiversity conservation and food production&quot;, One-Earth.</p> <p>Instructions and code to reproduce the results are at&nbsp;https://github.com/pierovisconti/integratedSP</p>

opencc-by-4.0Oct 2021View details →
dryad36/100

Data from: Reconciling diverse viewpoints within systematic conservation planning

<ol> <li>Conservation encompasses numerous alternative viewpoints on what to value (features such as biodiversity, ecosystem services or socio-economic benefits) and how to convert these values into conservation policies that deliver for nature and people. Reconciling these differing values and viewpoints in policy development and implementation is a perennial challenge.</li> <li>Balancing differing stakeholder viewpoints within a single conservation plan risks some viewpoints overshadowing others. This can occur as some dominant viewpoints may lead to more marginal views being suppressed, and also through social biases during the planning process.</li> <li>Here we develop four separate 'caricature' conservation viewpoints, and spatially quantify each of them in order to test different approaches to equitable reconciliation. Each viewpoint prioritises different locations, dependent on the extent to which they deliver a variety of different biodiversity, well-being and economic goals.</li> <li>We then show how these different viewpoints can be reconciled using numeric methods. We find that a pluralist approach, which accounts for the spatial similarities and differences between viewpoints, is able to deliver equitably for multiple conservation features. This pluralist approach provides a coherent spatial conservation strategy with the capacity to satisfy advocates of quite divergent approaches to conservation.</li> </ol>

opencc-zeroJan 2023View details →
ClinicalTrials.gov36/100

Integrating Conservative Kidney Management Options and Advance Care Planning Into a Pre-Dialysis Educational Program

ClinicalTrials.gov study NCT03229811. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
dryad36/100

Data for: Planning for a future of changes: prioritizing areas for conservation of small mammals in the Caatinga, Brazil

Open the record for dataset details and reuse information.

publicJan 2025View details →

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