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318 results for “habitat conservation”

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zenodo44/100

Habitat Protection Indexes - new monitoring measures for the conservation of threatened marine habitats - Datasets and supporting files

<p>The supporting datasets, scripts, and supplementary information for the manuscript, &quot;Habitat Protection Indexes -&nbsp;new monitoring measures for the conservation of threatened marine habitats,&quot; are available within this repository.</p> <p>We conduct an analysis on the coverage of protected areas that cover six threatened marine and coastal and developed two indexes, the Local Proportion of Habitat Protected&nbsp;Index and the Global Proportion of Habitat Protected Index, describing the protection of these habitats locally and globally. The habitats considered are the following: cold corals, warm water corals, knolls and seamounts, mangroves, saltmarshes, and seagrasses.</p> <p>The index scores of each jurisdiction are made available for download in the dataset: <em>habitat_protection_indexes_average.csv</em></p> <p>The habitat specific index scores for each jurisdiction are made available for download in the dataset: <em>habitat_protection_indexes.csv.&nbsp;</em></p> <p>Column name descriptions are available in the text file: <em>Column_name_descriptions_20220301</em></p> <p>The scripts used to run the workflow to calculate the indexes, create figures, and calculate statistics for the manuscript are also included. The script <em>01_Workflow sources</em> the first 9 scripts in the <em>scripts</em> folder to calculate the indexes which relies on the functions script within the functions folder. The rest of the scripts in the folder create the figures and calculate the statistics for the manuscript.</p> <p>A readme pdf file is included here to ease with reproducing the workflow, but we strongly suggest to please visit our github (<a href="https://github.com/jkumagai96/Marine_Habitat_protection">https://github.com/jkumagai96/Marine_Habitat_protection</a>) to reproduce the entire calculation where we provide detailed information on how to run the workflow and package management.</p>

opencc-by-4.0Jun 2021View details →
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Figure 1 in Conservation in a changing landscape: habitat occupancy of the critically endangered Tennent's leaf-nosed lizard (Ceratophora tennentii) in Sri Lanka

Figure 1. Location of Knuckles forest reserve within Kandy and Matale Districts (left) and the four study sites [two at Riverston (1 and 2), Hunasgiriya (3) and Deanston (4)] within the reserve (right).

opencc-by-4.0Feb 2015View details →
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Figure 3 in Conservation in a changing landscape: habitat occupancy of the critically endangered Tennent's leaf-nosed lizard (Ceratophora tennentii) in Sri Lanka

Figure 3. Comparison of climatic and structural parameters among the four habitat types during the dry (dashed line) and wet (solid line) seasons. Data from both locations with lizards and random locations are considered in combination. (C = Cardamom plantations, M = Mixed cardamom forests, N = Natural forests, P = Pine plantations.)

opencc-by-4.0Feb 2015View details →
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Figure 2 in Conservation in a changing landscape: habitat occupancy of the critically endangered Tennent's leaf-nosed lizard (Ceratophora tennentii) in Sri Lanka

Figure 2. Mean number of sightings of Ceratophora tennentii within three habitat types at Knuckles Range, Sri Lanka.

opencc-by-4.0Feb 2015View details →
dryad40/100

Proactive conservation to prevent habitat losses to agricultural expansion

<p>The projected loss of millions of square kilometres of natural ecosystems to meet future demand for food, animal feed, fibre, and bioenergy crops is likely to massively escalate threats to biodiversity. Reducing these threats requires a detailed knowledge of how and where they are likely to be most severe. We developed a geographically explicit model of future agricultural land clearance based on observed historic changes and combine the outputs with species-specific habitat preferences for 19,859 species of terrestrial vertebrates. We project that 87.7% of these species will lose habitat to agricultural expansion by 2050, with 1,280 species projected to lose ≥25% of their habitat. Proactive policies targeting how, where, and what food is produced could reduce these threats, with a combination of approaches potentially preventing almost all these losses while contributing to healthier human diets. As international biodiversity targets are set to be updated in 2021, these results highlight the importance of proactive efforts to safeguard biodiversity by reducing demand for agricultural land.</p>

opencc-zeroDec 2020View details →
dryad40/100

Data from: Habitat selection in transformed landscapes and the role of forest remnants and shade coffee in the conservation of resident birds

1. Biodiversity conservation in transformed landscapes is becoming increasingly important. However, most assessments of the value of modified habitats rely heavily on species presence and/or abundance, masking ecological processes such as habitat selection and phenomena like ecological traps, which may render species persistence uncertain. High species richness has been documented in tropical agroforestry systems but comparisons with native habitat remnants generally lack detailed information on species demography and habitat use. 2. We generated a multi-species, multi-measure framework to evaluate the role of habitat selection in the adaptation of species to transformed landscapes, and demonstrate that its use could affect how we value the contribution different land uses make to biodiversity conservation. 3. We analyzed seven years of capture-mark-recapture and observation data for twelve species of resident birds present in native forest remnants and shade coffee plantations in a mega-diverse region. We assessed whether species behaved adaptively by evaluating the correlation between measures of habitat preference (occurrence, abundance, fidelity, inter-seasonal variance and age) and performance (body condition, muscle, primary molt, breeding and juveniles) in forest and coffee, and generated hypotheses about their role in species persistence. 4. We documented adaptive habitat selection for seven species, non-ideal selection for four, and maladaptive selection for one. While many species showed equal-preference and/or equal performance in many traits, in general we found more evidence for birds preferring and/or performing better in forest than coffee, although relationships between our indicators and population adaptation need to be studied further before our proposed framework can be applied to more species and landscapes. 5. While shade coffee can act as a biodiversity-friendly matrix providing complementary or supplementary habitat to a wide range of resident bird species, protecting remnants of native vegetation is still of paramount importance for biodiversity conservation in agricultural landscapes. 28-Aug-2019

opencc-zeroDec 2019View details →
zenodo40/100

Data from: Area of habitat maps and validated occurrences for neotropical birds of conservation concern

<p>Understanding species distributions is essential for advancing bird conservation, especially in the rapidly changing landscapes of the Neotropics, where habitat loss and degradation are accelerating. Area of Habitat (AOH) maps offer valuable spatial tools for illustrating species distributions by highlighting potentially suitable habitats within their geographic range. In this study, we generated AOH maps for 713 neotropical bird species of conservation concern, which includes species listed as globally or nationally threatened, endemic, or with restricted ranges. Using primary biodiversity data and a structured geospatial workflow, we refined approximately 2.5 million occurrence records through a flagging process and validated 50,743 records manually.<strong> </strong>This unparalleled effort led to the creation of high-quality AOH maps, along with altitude-corrected Extent of Occurrence (EOO-DEM) and Inverse Distance Weighted (IDW) range maps.&nbsp; Our AOH maps significantly improved species distribution predictions for 82% of species, over EOO-DEM maps. The validated occurrences and AOH maps produced in this study have wide-ranging applications, providing a valuable basis for the development of new species distribution models and for evaluating species&rsquo; natural history, extinction risk, and habitat threats. They also support the identification of priority areas for strategic conservation investments. Importantly, these maps played a key role in systematic conservation planning analyses for the Conserva Aves initiative, which is facilitating the creation of more than 80 new protected areas across Latin America, safeguarding 2 million hectares and improving the management of an additional 2 million hectares (<a href="https://conserva-aves.org/">https://conserva-aves.org/</a>).</p>

opencc-by-4.0Oct 2024View details →
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Fig. 1 in Natural-Licks Use By Orangutans And Conservation Of Their Habitats In Bornean Tropical Production Forest

Fig. 1. Location maps of Deramakot Forest Reserve in Sabah, Malaysian Borneo (D1 to D4: natural-licks).

opencc-by-4.0Feb 2011View details →
dryad40/100

Data from: Evaluating staging habitat quality to advance the conservation of a declining migratory shorebird, Red Knot Calidris canutus

<p>Identifying where and when population "bottlenecks" occur is critical to the conservation of migratory species, many of which are declining precipitously worldwide. Especially challenging is the evaluation of changes to staging sites. These sites are indispensable links in the migratory cycle but are typically used only briefly.</p> <p>We devised a field-based approach to assess the quality and carrying capacity of a critical staging site in Nanpu, China, for the declining, migratory Red Knot (Calidris canutus rogersi &amp; C. c. piersmai) during northward migration. The Nanpu tidal flat supports 50,000-100,000 Red Knots annually, and while there, the knots feed almost exclusively on the bivalve Potamocorbula laevis. We simultaneously monitored changes in the abundance of Red Knots and bivalves across the entire staging site in spring 2018.</p> <p>After taking into account potential competition with other shorebird species, we estimated that the Nanpu tidal flat was capable of supporting approximately 1.46-1.70 times the current observed level of usage of the site by Red Knots, and therefore is operating below, but close, to carrying capacity with respect to food resources for Red Knots. This result suggests that any further development of this site could harm the EAAF Red Knot population.</p> <p>Synthesis and applications: Quantitative monitoring and evaluation of habitat quality of staging sites are essential to successfully conserve declining migratory species. In particular, researchers and conservation practitioners should incorporate both population size and staging duration in order to more accurately assess the importance of different sites and to quantify how changes in staging habitat quality may translate into changes in migrant population sizes at both local and global scales.</p>

opencc-zeroMay 2022View details →
zenodo40/100

Supplementary material 1 from: Schmeller D, Maier A, Evans D, Henle K (2012) National responsibilities for conserving habitats – a freely scalable method. Nature Conservation 3: 21-44. https://doi.org/10.3897/natureconservation.3.3710

The annex does provide a more detailed comparison of the different biogeographic maps. It further gives a list of all forest habitats given in the EU Habitats Direction

opencc-by-4.0Dec 2012View details →
zenodo40/100

Improving the application of Important Plant Areas to conserve threatened habitats: a case study of Uganda

<p><strong>This data set relates to the publication: Richards, S. L., Kalema, J., Ojelel, S., Williams, J., &amp; Darbyshire, I. (2024). Improving the application of Important Plant Areas to conserve threatened habitats: A case study of Uganda. Conservation Science and Practice,&nbsp;e13246. https://doi.org/10.1111/csp2.13246<br></strong></p> <p><strong>Abstract:</strong></p> <p>Important Plant Areas (IPAs) are a successful method of identifying priority areas for plant conservation. Assessment of IPAs, however, often relies on criteria related to species, while incorporation of habitats has been less consistent. Using Uganda as a case study, we test the application of the threatened habitat criterion &ndash; criterion C. We identified nationally threatened habitats using Red List of Ecosystems criteria and assess, for the first time, how differing application of thresholds under IPA criterion C can influence IPA network outcomes. Eleven threatened habitats were identified, with declines switching from predominantly forest to savanna after the mid-20<sup>th</sup> century. Significantly, we found current IPA guidance on use of criterion C needlessly limits the number of sites that qualify as IPAs. The &ldquo;five best sites&rdquo; IPA threshold is reserved for countries where quantitative data is unavailable, however, the application of the relevant numerical thresholds (site contains &ge;10% of national resource or site is among the best quality examples required to collectively prioritisie up to 20% of the national resource) to quantitative data largely generated fewer than five IPAs, comparably limiting conservation opportunities identified. We recommend, therefore, that the &ldquo;five best&rdquo; threshold is available for application on both qualitative and quantitative data. This will bolster the value of IPAs in conserving and restoring threatened and ecologically important habitats under the Kunming-Montreal Global Biodiversity Framework.</p> <p><strong>Dataset:</strong></p> <p>Within this dataset is a shapefile of the estimated extent of threatened habitats in Uganda. Each polygon represents a single "site" for each threatened habitat, with methodology for site identification given in the manuscript. Feature area and percentage national resource are given for each site, enabling users to identify those that trigger the different IPA criterion C thresholds.</p> <p><strong>In this study, we have preliminarily identified the threatened habitats and IPAs for Uganda. However, it is important to seek the expertise and views of stakeholders, consider other IPA criteria met and any complementarity between sites when identifying IPAs. In addition, ground-truthing or more localised data could validate the threat status of a vegetation type as well as identifying which sites are best to conserve these habitats. </strong></p>

opencc-by-4.0Jun 2024View details →
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Fig. 1 in Development of habitat suitability criteria for Neotropical stream fishes and an assessment of their transferability to streams with different conservation status

Fig. 1. Location of the study sites in the São José dos Dourados River basin, São Paulo State, Brazil (a and b). Forested sites (dark circles) are located within the greatest forest fragments and deforested (gray circles) streams lack arboreal vegetation in their riparian zone and are located in areas dominated by pasture (c).

opencc-by-4.0Jun 2013View details →
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Fig. 2 in Development of habitat suitability criteria for Neotropical stream fishes and an assessment of their transferability to streams with different conservation status

Fig. 2. Habitat suitability criteria for depth and velocity of 10 species (codes in Table 1) developed for forested streams, considering five classes of depth (D1 = 0 to 0.2 m; D2 = 0.21 to 0.30 m; D3 = 0.31 to 0.40 m; D4 = 0.41 to 0.50 m; D5&gt; 0.51 m) and four classes of velocity (V1 =&gt; 0.0 to 0.2 m/s; V2 = 0.21 to 0.40 m/s; V3 = 0.41 to 0.60 m/s; V4&gt; 0.61 m/s). The dotted lines indicate SI = 0.7, above which conditions were considered optimal.

opencc-by-4.0Jun 2013View details →
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Figure 1. A in Habitat description of the rare orchid Didymoplexis verrucosa for more effective conservation

Figure 1. A, Location of the province of KwaZulu-Natal within South Africa; B, northern KwaZulu-Natal showing the very limited extent of remaining forest ecosystems shaded in black with degree grid lines for spatial reference; C, study area shaded in grey south of the coastal town of Mtunzini with quarter degree grid lines for spatial reference.

opencc-by-4.0Jul 2021View details →
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Рис. 2. Основные места концентрации фуражирующих особей Bombus distinguendus в АрхангеΛьской обΛасти: 1 — Разнотравно-зΛаковый Λуг с Trifolium pratense и Trifolium repens в окрестностях гороΑа Мезень; 2 — Разнотравно-зΛаковый Λуг по обочине Αороги с Centaurea scabiosa в окрестностях сеΛа ХоΛмогоры; 3 – Агроценоз со Stachys palustris в ΑеΛьте реки Северная Δвина; 4 — РуΑераΛьное сообщество с Chamaenerion angustifolium в ΑеΛьте реки Северная Δвина Fig. 2. Typical foraging habitats of Bombus distinguendus in Arkhangelsk Oblast: 1 — Meadow with Trifolium pratense and Trifolium repens near the town of Mezen; 2 — Roadside meadow with Centaurea scabiosa near the village of Kholmogory; 3 — Agricultural habitat with Stachys palustris in the delta of the Northern Dvina River; 4 — Ruderal community with Chamaenerion angustifolium in the delta of the Northern Dvina River in Bombus distinguendus Morawitz, 1869 (Hymenoptera: Apidae) in Arkhangelsk Oblast, Russia: Distribution, ecology and conservation

Рис. 2. Основные места концентрации фуражирующих особей Bombus distinguendus в АрхангеΛьской обΛасти: 1 — Разнотравно-зΛаковый Λуг с Trifolium pratense и Trifolium repens в окрестностях гороΑа Мезень; 2 — Разнотравно-зΛаковый Λуг по обочине Αороги с Centaurea scabiosa в окрестностях сеΛа ХоΛмогоры; 3 – Агроценоз со Stachys palustris в ΑеΛьте реки Северная Δвина; 4 — РуΑераΛьное сообщество с Chamaenerion angustifolium в ΑеΛьте реки Северная Δвина Fig. 2. Typical foraging habitats of Bombus distinguendus in Arkhangelsk Oblast: 1 — Meadow with Trifolium pratense and Trifolium repens near the town of Mezen; 2 — Roadside meadow with Centaurea scabiosa near the village of Kholmogory; 3 — Agricultural habitat with Stachys palustris in the delta of the Northern Dvina River; 4 — Ruderal community with Chamaenerion angustifolium in the delta of the Northern Dvina River

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

Figure 3 in Habitat associations and conservation of Eremias acutirostris (Boulenger, 1887) in the Sistan region, Zabol, Iran

Figure 3. Habitat of Eremias acutirostris along the road from Bonjar to Doost Mohammad, Sistan region, Iran.

opencc-by-4.0Jul 2013View details →
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Figure 2 in Habitat associations and conservation of Eremias acutirostris (Boulenger, 1887) in the Sistan region, Zabol, Iran

Figure 2. Map of Iran and the location of limited population (A) of Eremias acutirostris in east of Iran.

opencc-by-4.0Jul 2013View details →
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Figure 1 in Specialist and generalist species in habitat use: implications for conservation assessment in snakes

Figure 1. Relationship between the diversity scores in habitat use and the number of citations (log transformed) for each snake species in the study area. Each point is one snake species: Ca, Coronella austriaca, Cg, Coronella girondica, Hh, Hemorrhois hippocrepis, Mb, Macroprotodon brevis, Mm, Malpolon monspessulanus, Nn, Natrix natrix, Rh, Rhinechis scalaris, Vl, Vipera latastei.

opencc-by-4.0Dec 2010View details →
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Figure 2 in Specialist and generalist species in habitat use: implications for conservation assessment in snakes

Figure 2. Principal components plot for different snake species. The percentage of the variance explained by the two main factors is indicated on the axes. Three separate groups of species are indicated. Ca, Coronella austriaca, Cg, Coronella girondica, Hh, Hemorrhois hippocrepis, Mb, Macroprotodon brevis, Mm, Malpolon monspessulanus, Nn, Natrix natrix, Rs, Rhinechis scalaris, Vl, Vipera latastei.

opencc-by-4.0Dec 2010View details →
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Figures 50–57. Habitats. 50–51 in Natural history, ecology, and conservation of the genus Polyphylla Harris, 1841. 1. New species from the southwestern United States and Baja California, Mexico, with notes on distribution and synonymy (Coleoptera: Scarabaeidae: Melolonthinae)

Figures 50–57. Habitats. 50–51) Polyphylla anivallis. Animas Valley Sand Dunes, Hidalgo Co., NM. 52–53) Polyphylla koso. Coso Mountains, Inyo Co., CA. 52) Coso Bridge. 53) Mill Springs Canyon. 54–55) Polyphylla morroensis. Baywood Fine Sands, San Luis Obispo Co., CA. 56–57) Polyphylla socorriana. El Socorro Sand Dunes, Baja California, MX.

opencc-by-4.0Jun 2016View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record