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466 results for “priority”
Figura 1 in IDENTIFICATION OF PRIORITY SEASONS AND PESTICIDES FOR WATER MONITORING: A CASE STUDY IN ESPÍRITO SANTO
Figura 1: Distribuição espacial da produção cafeeira no estado do Espírito Santo. Destaque para as bacias dos rios Barra Seca/Mucuri e Foz do Rio Doce, onde estão inseridos os cinco maiores municípios produtores.
Figura 2 in IDENTIFICATION OF PRIORITY SEASONS AND PESTICIDES FOR WATER MONITORING: A CASE STUDY IN ESPÍRITO SANTO
Figura 2: Distribuição temporal dos estágios fenológicos do café, das condições climáticas, épocas de maior incidência das pragas e doenças, durante os 12 meses do ano no estado do Espírito Santo. No degradê de cores, as mais escuras representam períodos de maior ocorrência das pragas e doenças, assim como maiores pluviosidades e temperaturas, torando-se mais claras conforme se reduz a incidência e intensidade dos eventos.
Figura 3 in IDENTIFICATION OF PRIORITY SEASONS AND PESTICIDES FOR WATER MONITORING: A CASE STUDY IN ESPÍRITO SANTO
Figura 3: Distribuição temporal das condições climáticas e épocas de aplicação dos ingredientes ativos autorizados classificados entre prioritários e não prioritários no Estado do Espírito Santo. No degradê de cores para as condições climáticas, a cor mais escura representa o período de altas temperaturas e pluviosidades, se tornando mais clara conforme estas condições se tornam menos intensas.
Patient Priority Care for Older Adults With Multiple Chronic Conditions
ClinicalTrials.gov study NCT04510948. IPD Sharing: YES. Countries: 1. Publications: 13.
Stage-mediated priority effects and season lengths shape long-term competition dynamics
Open the record for dataset details and reuse information.
Priority effects determine how dispersal affects biodiversity in seasonal metacommunities
Open the record for dataset details and reuse information.
Data from: Priorities and motivations of marine coastal restoration research
<p>Active restoration is becoming an increasingly important conservation intervention to counteract the degradation of marine coastal ecosystems. <a name="_Hlk39173233">Understanding what has motivated the scientific community to research the restoration of marine coastal ecosystems and how restoration research projects are funded is essential if we want to scale-up restoration interventions to meaningful extents.</a><a name="_Hlk39173099">Here, we systematically review and synthesize data to understand the motivations for research on the restoration of coral reefs, seagrass, mangroves, saltmarsh, and oyster reefs. We base this analysis off a published database of marine restoration studies, originally designed to estimate the cost and feasibility of marine coastal restoration, derived from mostly scientific studies published in peer-reviewed and some grey literature. For the present study, the database was updated with fields aimed at assessing the motivations, outcomes, and funding sources for each project. </a>We classify restoration motivations into five categories: biotic, experimental, idealistic, legislative, and pragmatic. Moreover, we evaluate the variables measured and outcomes reported by the researchers and evaluate whether projects adhered to the Society for Ecological Restoration's (SER) standards for the practice of ecological restoration. <a name="_Hlk39174556">The most common motivation of the scientific community to study restoration in marine coastal ecosystems was experimental i.e. to seek experimental data to answer ecological research questions or improve restoration approach, as expected since mostly peer-reviewed literature was evaluated here. There were differences in motivations among the five coastal ecosystems. For instance, biodiversity enhancement was the most common case for a biotic motivation in mangrove restoration projects</a>. The most common metrics evaluated were growth/productivity, survivorship, habitat function, physical attributes and reproduction. For most ecosystems, ecological outcomes were frequently reported, with socio-economic implications of the restoration rarely mentioned, except for mangroves. Projects were largely funded by governmental grants with some investment from private donations, non-governmental organizations, and the involvement of volunteers. Our findings and database provide critical data to align future research of the scientific community with the real social, economic and policy needs required to scale-up marine coastal restoration projects.</p>
First come, first served: possible role for priority effects in marine populations under different degrees of dispersal potential
<p>Aim Studying clearly delineated populations in marine lakes, islands of sea, we investigate the interplay of habitat size, immigration, and priority effects in shaping marine population genetic structure. Location Marine lakes and coastal locations in Indonesia, Palau, Papua New-Guinea and Australia. Taxon Mussels (Mytillidae, Brachidontes spp.) Methods Populations were sampled from four coastal locations and 22 marine lakes of similar age (~8,000 years), yet differing in size (0.04 - 4.7 km2) and degree of connection to the adjacent sea. While some lakes are highly connected, allowing potential influx of larvae from the sea, others have very limited water exchange. We assessed the phylogeographic structure and demographic history using mitochondrial and nuclear DNA sequence data, and combined this with geometric morphometrics. The effects of lake characteristics on population genetic diversity and structure were tested using linear regression and Mantel tests. Results Each lake contained one of six distinct genetic lineages, which were characterized by deep phylogenetic splits and significant morphometric differences. These lineages likely represent separate species. The lineages showed similar demographic patterns, with lakes containing founder populations that rapidly expanded and diverged. Genetic diversity within lake populations was significantly correlated with lake area, but not with physical connection to the adjacent sea. Within lineages that occurred in multiple lakes there was strong population structure (average ΦST 0.65), which did not conform to an isolation-by-distance pattern or to the degree of dispersal potential. Main Conclusions Marine lakes across a gradient of physical isolation show strong population structure and evidence for in situ divergence. We hypothesize that the observed genetic structure is the result of priority effects. In addition, reduction of habitat size appears to reduce genetic diversity, even at very small spatial scales. Our findings are relevant in the context of ongoing alterations to coastal hydrodynamics, which lead to habitat reduction and influence migration among populations at fine spatial scales.</p>
D-JRP1-3.1 WP3 Priority list
<p>OHEJP Project: IMPART. WP3 - Development of missing epidemiological cut-off values (ECOFFs).</p>
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.
Data from: Applying modern coexistence theory to priority effects
Modern coexistence theory is increasingly used to explain how differences between competing species lead to coexistence versus competitive exclusion. Although research testing this theory has focused on deterministic cases of competitive exclusion, in which the same species always wins, mounting evidence suggests that competitive exclusion is often historically contingent, such that whichever species happens to arrive first excludes the other. Coexistence theory predicts that historically contingent exclusion, known as priority effects, will occur when large destabilizing differences (positive frequency-dependent growth rates of competitors), combined with small fitness differences (differences in competitors' intrinsic growth rates and sensitivity to competition), create conditions under which neither species can invade an established population of its competitor. Here we extend the empirical application of modern coexistence theory to determine the conditions that promote priority effects. We conducted pairwise invasion tests with four strains of nectar-colonizing yeasts to determine how the destabilizing and fitness differences that drive priority effects are altered by two abiotic factors characterizing the nectar environment: sugar concentration and pH. We found that higher sugar concentrations increased the likelihood of priority effects by reducing fitness differences between competing species. In contrast, higher pH did not change the likelihood of priority effects, but instead made competition more neutral by bringing both fitness differences and destabilizing differences closer to zero. This study demonstrates how the empirical partitioning of priority effects into fitness and destabilizing components can elucidate the pathways through which environmental conditions shape competitive interactions.
Data from: Genetic basis of priority effects: insights from nectar yeast
Priority effects, in which the order of species arrival dictates community assembly, can have a major influence on species diversity, but the genetic basis of priority effects remains unknown. Here, we suggest that nitrogen scavenging genes previously considered responsible for starvation avoidance may drive priority effects by causing rapid resource depletion. Using single-molecule sequencing, we de novo assembled the genome of the nectar-colonizing yeast, Metschnikowia reukaufii, across eight scaffolds and complete mitochondrion, with gap-free coverage over gene spaces. We found a high rate of tandem gene duplication in this genome, enriched for nitrogen metabolism and transport. Both high-capacity amino acid importers, GAP1 and PUT4, present as tandem gene arrays, were highly expressed in synthetic nectar and regulated by the availability and quality of amino acids. In experiments with competitive nectar yeast, Candida rancensis, amino acid addition alleviated suppression of C. rancensis by early arrival of M. reukaufii, corroborating that amino acid scavenging may contribute to priority effects. Because niche pre-emption via rapid resource depletion may underlie priority effects in a broad range of microbial, plant and animal communities, nutrient scavenging genes like the ones we considered here may be broadly relevant to understanding priority effects.
Data from: Variation in population structure and dynamics of montane forest tree species in Ethiopia guide priorities for conservation and research
The greatest extent of Afromontane environments in the world is found in Ethiopia. These areas support exceptional biodiversity, but forest cover and ecological integrity have declined sharply in recent decades. Conservation and management efforts are hampered in part by an inadequate understanding of the basic ecology of major tree species. We investigated population structure and inferred population dynamics from size frequency distributions of 22 forest tree species encountered in montane forests of Ethiopia. We collected new empirical data from four sites in the Bale Mountains, where some of the country's most extensive and least disturbed forests remain, and conducted a systematic review and analysis of all such studies that reported population structure for one or more of these species in Ethiopia. Thirteen widespread montane tree species showed a reverse-J size distribution, indicating a relatively stable population structure. Six other species had size-frequency distributions that indicate episodic recruitment and/or removal of certain size classes. Specific causes of these patterns are uncertain: they may involve timber harvesting, herbivory, fire, or natural disturbances, but patterns were inconsistent and locality dependent. For three other tree species, existing data are inadequate for any interpretation of population structure and dynamics. A species of particular conservation concern that emerged from this analysis was Hagenia abyssinica, which was found in all areas to consist only of larger individuals with no recent recruitment. For management and conservation purposes, the species in most urgent need of new research are those with inadequate or inconsistent data, and H. abyssinica..
Data from: Patterns of biodiverse, understudied groups do not mirror those of the surrogate groups that set conservation priorities: a case study from the Mid-Atlantic Coastal Plain of eastern North America
We conducted biodiversity inventories of lichens, woody plants, and sedges at 32 sites on the Mid-Atlantic Coastal Plain of eastern North America between November 2012 and June 2015. Each site comprised a single, uniform habitat, and sites were classified as: Coastal Plain Floodplain forest, Coastal Plain Flatwood swamp, Coastal Plain Oak-Pine forest, Maritime forest, Mixed Mesic Hardwood forest, or Tidal forest. We compared alpha diversity and community assemblages of each organismal group across the sites, and compared selected minimal reserve sets in order to visualize biodiversity patterns and assess whether specific components of vascular plants (sedges and woody plants) serve as an effective surrogate for lichens. Woody plants provide a direct substrate for lichen growth, but there was no significant correlation between the alpha diversity of these groups. For conserving maximal species richness among the studied groups, lichens outperformed the sedges and woody plants as the better surrogate group for building minimum reserve sets, even though vascular plants are more commonly used as a surrogate. Likewise, sedge alpha diversity was not correlated with lichens, or with woody plants. Although no group was an effective indicator for high alpha diversity sites of other organisms, a significant correlation between the community assemblages of lichens and woody plants suggests that protecting varied types of plant communities might serve as a workable surrogate for protecting lichens. The lack of congruence between species richness patterns across organismal groups suggests that the mechanisms that shape patterns of diversity are not identical, and that identifying and incorporating specific biodiversity indicators for understudied groups into conservation policy is necessary to ensure their protection.
Data from: Priority effects can persist across floral generations in nectar microbial metacommunities
The order of species arrival can influence how species interact with one another and, consequently, which species may coexist in local communities. This phenomenon, called priority effects, has been observed in various types of communities, but it remains unclear whether priority effects persist over the long term spanning multiple generations of local communities in metacommunities. Focusing on bacteria and yeasts that colonize floral nectar of the sticky monkey flower, Mimulus aurantiacus, via hummingbirds and other flower-visiting animals, we experimentally manipulated initial microbial dominance on plants (regarded as metacommunities) to examine whether its effects persisted across multiple generations of flowers (regarded as local microbial habitats). The experimental introduction of Neokomagataea (= Gluconobacter) bacteria and Metschnikowia yeasts into wild flowers showed that the effects of initial dominance were observable across multiple floral generations. Three weeks after introduction, corresponding approximately to three floral generations, Neokomagataea introduction led to exclusion of yeasts, whereas Metschnikowia introduction did not result in the exclusion of Neokomagataea. Our results suggest that, even when local habitats are ephemeral, priority effects may influence multiple generations of local communities within metacommunities.
Data and R code used in Alonso-Crespo et al (2024) Exploring priority and year effects on plant diversity, productivity and vertical root distribution: first insights from a grassland field experiment
<p>This release contains the raw data, R code, and RootPainter model supporting the results described in Alonso-Crespo et al (2024) Exploring priority and year effects on plant diversity, productivity and vertical root distribution: first insights from a grassland field experiment.</p>
Spatial data for Chaplin-Kramer et al. "Spatial heterogeneity in forest carbon storage affects priorities for reforestation"
<p>Spatial data generated for the forest carbon edge effects analysis and optimization performed in Chaplin-Kramer et al. "Spatial heterogeneity in forest carbon storage affects priorities for reforestation". The files included are described below.</p><p>fc_stack_hansen_forest_cover2014_compressed_std_forest_edge_result.tif - Carbon (Mg/ha) predicted by the regression model for Hansen forest cover 2014 (this is the LULC map that produced the model with the best fit and was used in the model validation)</p><p>fig1_edge_effect_hansen_compressed_nr_md5_63366a.tif – Figure 1 in the manuscript</p><p>fig2_ipcc1_regression2_overlap3_md5_43e130.tif – Figure 2 in the manuscript</p><p>figS5_ipcc1_regression2_overlap3_avgov_md5_fe8b72.tif – Alternate styling of manuscript Fig. 2 (resampling with "average" instead of "near"), shown in Supplemental Fig. S5</p><p>ipcc_carbon_restoration_limited_md5_cd012d.tif - Carbon (Mg/ha) in restoration LULC calculated with the IPCC Tier 1 approach</p><p>ipcc_tier1_carbon_data.zip - Data needed to run the IPCC approach are contained within two files in the zip folder: the carbon table (carbon zones are rows and ESA LULC codes are columns) IPCC_carbon_table_md5_a91f7ade46871575861005764d85cfa7.csv; and the carbon zones map: carbon_zones_md5_aa16830f64d1ef66ebdf2552fb8a9c0d.gpkg</p><p>ipcc_carbon_esa_compressed_md5_5b4803.tif - Carbon (Mg/ha) in ESA 2014 LULC calculated with the IPCC Tier 1 approach (shown in Fig. S1)</p><p>PNV_jsmith_060420_md5_8dd464e0e23fefaaabe52e44aa296330.tif – Potential Natural Vegetation (PNV) created by Jeff Smith (unpublished) through a cross-walk of ESA to Dinerstein biomes</p><p>regression_carbon_esa_compressed_md5_c867a0.tif - Carbon (Mg/ha) in ESA 2014 LULC calculated with the regression approach (shown in Fig. S1)</p><p>regression_carbon_restoration_md5_1f5ca8.tif - Carbon (Mg/ha) in restoration LULC calculated with the regression approach</p><p>restoration_limited_md5_372bdfd9ffaf810b5f68ddeb4704f48f.tif – the LULC scenario of reforestation (based on PNV, but excluding agriculture and urban areas) </p>
Data from: mapping endemic freshwater fish richness to identify high priority areas for conservation: an ecoregion approach
<p>Freshwater ecosystems are experiencing accelerating global biodiversity loss. Thus, knowing where these unique ecosystems' species richness reaches a peak can facilitate their conservation planning. By hosting more than 290 freshwater fishes, Iran is a major freshwater fish hotspot in the Middle East. Considering the accelerating rate of biodiversity loss, there is an urgent need to identify species rich areas and understanding of the mechanisms driving biodiversity distribution. In this study, we gathered distribution records of all endemic freshwater fishes of Iran (85 species) to develop their richness map and determine the most critical drivers of their richness patterns from an ecoregion approach. We performed a generalized linear model (GLM) with quasi-Poisson distribution to identify contemporary and historical determinants of endemic freshwater fish richness. We also quantified endemic fish similarity among the 15 freshwater ecoregions of Iran. Results showed that endemic freshwater fish richness is highest in the Zagros Mountains while moderate level of richness was observed between Zagros and Alborz Mountains. High, moderate and low richness of endemic freshwater fish match with Upper Tigris & Euphrates, Namak, and Kavir & Lut Deserts ecoregions respectively. Kura - South Caspian Drainages and Caspian Highlands were the most similar ecoregions and Orumiyeh was the most unique ecoregion according to endemic fish presence. Precipitation and precipitation change velocity since the Last Glacial Maximum were the most important predictors of endemic freshwater fish richness. Areas identified to have the highest species richness have high priority for the conservation of freshwater fish in Iran, therefore, should be considered in future protected areas development.</p>
Spatial priorities for climate-change refugia and connectivity for British Columbia (Version 1.1)
<p>Climate-informed conservation priorities in British Columbia (Version 1.1)</p> <p>Territorial acknowledgement:</p> <p>We respectfully acknowledge that we live and work across diverse unceded territories and treaty lands and pay our respects to the First Nations, Inuit and Métis ancestors of these places. We honour our connections to these lands and waters and reaffirm our relationships with one another.</p> <p><br>Suggested citation:</p> <p>Stolar, J., D. Stralberg, I. Naujokaitis-Lewis, S.E. Nielsen, and G. Kehm. 2024. Spatial priorities for climate-change refugia and connectivity for British Columbia (Version 1.1). Place of publication: University of Alberta, Edmonton, Canada. doi: 10.5281/zenodo.10603162</p> <p>Corresponding author: stolar@ualberta.ca</p> <p><br>Summary:</p> <p>The purpose of this project is to identify spatial locations of (a) vulnerabilities within British Columbia’s current network of protected areas and (b) priorities for conservation and management of natural landscapes within British Columbia under a range of future climate-change scenarios. This involved adaptation and implementation of existing continental- and provincial-scale frameworks for identifying areas that have potential to serve as refugia from climate change or corridors for species migration.</p> <p>Outcomes of this work include the provision of practical guidance for protected areas network design and vulnerabilities identification under climate change, with application to other regions and jurisdictions. Project results, in the form of multiple spatial prioritization scenarios, may be used to evaluate the resilience of the existing protected area network and other conservation designations to better understand the risks to British Columbia’s biodiversity in our changing climate.</p> <p><br>Description:</p> <p>These raster layers represent different scenarios of Zonation rankings of conservation priorities for climate resilience and connectivity between current and 2080s conditions for a provincial-scale analysis. Input conservation features included metrics of macrorefugia (forward and backward climate velocity (km/year), overlapping future and current habitat suitability for ~900 rare species in BC), microrefugia (presence of old growth ecosystems, drought refugia, glaciers/cool slopes/wetlands, and geodiversity), and connectivity. Please see details in the accompanying report.</p> <p><br>File nomenclature:</p> <p>.zip folder (Stolar_et_al_2024_CiCP_Zenodo_upload_Version_1.1.zip):<br>Contains the files listed below.</p> <p>Macrorefugia (2080s_macrorefugia.tif):<br>Scenarios for each taxonomic group (equal weightings for all species) (Core-area Zonation Function)<br>Climate-type velocity + species scenarios from above (Core-area Zonation; equal weightings)</p> <p>Microrefugia (microrefugia.tif):<br>Scenario with old growth forest habitat, landscape geodiversity, wetlands/cool slopes/glaciers, drought refugia (Core-area Zonation; equal weightings)</p> <p>Overall scenario (2080s_macro_micro_connectivity.tif):<br>Inputs from above (with equal weightings) + connectivity metrics (each weighted at 0.1) (Additive Benefit Function Zonation)</p> <p>Conservation priorities (Conservation_priorities_2080s.tif):<br>Overall scenario from above extracted to regions of low human footprint.</p> <p>Restoration priorities (Restoration_priorities_2080s.tif):<br>Overall scenario from above extracted to regions of high human footprint.</p> <p>Accompanying report (Stolar_et_al_2024_CiCP_Zenodo_upload_Version_1.1.pdf):<br>Documentation of rationale, methods and interpretation.</p> <p>READ_ME file (READ_ME_PLEASE.txt):<br>Metadata.</p> <p><br>Legend interpretation:</p> <p>Ranked Zonation priorities increase from 0 (lowest) to 1 (highest).</p> <p>Raster information:</p> <p>Columns and Rows: 1597, 1368<br>Number of Bands: 1<br>Cell Size (X, Y): 1000, 1000<br>Format: TIFF<br>Pixel Type: floating point <br>Compression: LZW</p> <p><br>Spatial reference:</p> <p>XY Coordinate System: NAD_1983_Albers<br>Linear Unit: Meter (1.000000)<br>Angular Unit: Degree (0.0174532925199433)<br>false_easting: 1000000<br>false_northing: 0<br>central_meridian: -126<br>standard_parallel_1: 50<br>standard_parallel_2: 58.5<br>latitude_of_origin: 45<br>Datum: D_North_American_1983</p> <p><br>Extent:</p> <p>West -139.061502 East -110.430823 <br>North 60.605550 South 47.680823 </p> <p><br>Disclaimer: </p> <p>The University of Alberta (UofA) is furnishing this deliverable "as is". UofA does not provide any warranty of the contents of the deliverable whatsoever, whether express, implied, or statutory, including, but not limited to, any warranty of merchantability or fitness for a particular purpose or any warranty that the contents of the deliverable will be error-free.</p> <p><br>Funding:<br> <br>We gratefully acknowledge the financial support of Environment and Climate Change Canada, the Province of British Columbia through the Ministry of Water, Land and Resource Stewardship) and the Ministry of Environment and Climate Change Strategy, the BC Parks Living Lab for Climate Change and Conservation, and the Wilburforce Foundation.</p>
Data from: bringing the forest back: restoration priorities in Colombia
<p><strong>Aim:</strong> Colombia has committed to ambitious forest restoration targets which include a one million ha Bonn Challenge commitment and 6.47 - 8.31 million ha <a>(</a>rehabilitation and restoration, respectively) under the National Restoration Plan. Determining where and how to implement programs to achieve these targets remains a significant challenge.</p> <p><strong>Location:</strong> Colombia</p> <p><strong>Methods:</strong> We adopt a multi-objective optimisation framework for restoration planning and apply it to Colombia. We explore cost-effective solutions that leverage the potential for assisted natural regeneration benefits while accounting for opportunity and establishment costs of restoration and maximising biodiversity conservation and climate change mitigation benefits. We explore four politically relevant restoration areal targets (one, six, 6.47 and 8.31 million ha) and identify minimum cost, and suites of maximum benefit and cost-effective solutions.</p> <p><strong>Results:</strong> We identify solutions that simultaneously perform well across biodiversity and carbon objectives, despite trade-offs between these objectives. We find that cost-effective solutions can achieve on average 91.1%, 90.8%, 90.5%, and 90.1% of maximum carbon benefit and 100% of the maximum biodiversity benefit while significantly reducing costs. On average, the maximum benefit solutions reduce the cost by 16.9%, 30.2%, 31.1%, and 34.4% when considering the one, six, 6.47 and 8.31 million ha restoration targets respectively.</p> <p><strong>Main conclusions:</strong> Colombia has committed to bold restoration and conservation targets, such as those under the new 2030 Convention on Biological Diversity Global Biodiversity Framework. Strategic forest restoration planning will play an important role in achieving Colombia's climate mitigation goals. We provide quantitative evidence to inform planning for environmentally and economically sensible restoration policy and practice in the country. Our framework and results can help guide Colombia towards meeting its ambitious forest restoration targets cost-effectively.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
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