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7,849 results for “Conservancy”
FIGURE 2 in Rediscovery of the presumably extinct fairy lantern Thismia kobensis (Thismiaceae) in Hyogo Prefecture, Japan, with discussions on its taxonomy, evolutionary history, and conservation
FIGURE 2. Thismia huangii at the type locality. (A) Habit. (B) Flower, upper view. (C) Flower, lateral view. (D) Longitudinal section of perianth tube with stamens, style, and stigma. (E) Style and stigma. Arrows indicate a long hair on each lobe. Scale bars: 20 mm (A), 5 mm (B–D), and 1 mm (E). Photographed by Tsung-Hsin Hsieh (A, D–E) and Tian-Chuan Hsu (B–C).
FIGURE 4 in Rediscovery of the presumably extinct fairy lantern Thismia kobensis (Thismiaceae) in Hyogo Prefecture, Japan, with discussions on its taxonomy, evolutionary history, and conservation
FIGURE 4. Thismia kobensis (holotype). (A) Habit. (B–C) Flower, upper view. (D) Flattened perianth tube. (E) Stamens, inner view. (F) Stamens, outer view. (G) Stigma. Scale bars: 5 mm (A–B), 3 mm (C–D), and 1 mm (E–G). Photographed by Kumi Hamasaki.
FIG. 4 in The Natural History, Distribution, and Conservation of Lonely Rainfrogs, Pristimantis eremitus
FIG. 4.—Predicted distribution of Pristimantis eremitus in the tropical Andes of South America from the Maxent modeling software. Areas in black are the predicted range while the white dots represent the known occurrences.
FIG. 2 in The Natural History, Distribution, and Conservation of Lonely Rainfrogs, Pristimantis eremitus
FIG. 2.—Oscillogram, spectrogram, and power spectra of the advertisement call of Pristimantis eremitus recorded along a transect at Reserva Las Gralarias, Pichincha, Ecuador (air temperature = 15.4–17°C). A is the entire call; B is a single note within the call of A; and C is the power spectra of B.
FIG. 1 in The Natural History, Distribution, and Conservation of Lonely Rainfrogs, Pristimantis eremitus
FIG. 1.—Color and pattern variation in Pristimantis eremitus observed from September 2011 to October 2012 along a transect at Reserva Las Gralarias, Pichincha, Ecuador. The uniqueness of each pattern can be used to identify individuals. A color version of this figure is available online.
FIG. 3 in Using Demography to Evaluate Reintroductions for Conservation of the Endangered Frog, Rana sierrae, in Streams
FIG. 3.—Fate of captive-reared frogs released into the South Fork Rock Creek reaches in 2017 and 2018. The number of frogs released into each stream is shown below each bar.
FIG. 2 in Using Demography to Evaluate Reintroductions for Conservation of the Endangered Frog, Rana sierrae, in Streams
FIG. 2.—Maximum number of years between captures of marked Rana sierrae first captured 2009–2013 in three northern Sierra Nevada streams. First captures occurred 2009–2011 in Lone Rock Creek and South Fork (SF) Rock Creek main channel, or 2009–2011 or 2013 in Independence Creek. Last captures occurred 2009–2011 in all three streams; 2013 in Independence Creek, 2015 in Lone Rock Creek and SF Rock Creek main channel, or 2016–2018 in all three streams.
Conservative and Non-Conservative Monotone Remapping Data
<p>This is the data used in the paper "Strategies for Conservative and Non-Conservative Monotone Remapping on the Sphere."</p> <p>The folder "bilinear" contains the data and scripts for the non-conservative integrated and non-integrated remapping schemes.</p> <p>The folder "fvtofv" contains the data for remapping from a finite volume mesh to a finite volume mesh with CAAS.</p> <p>The folder "glltofv" contains the data for remapping from a finite element to finite volume mesh with CAAS.</p> <p>The folder "gibbs" contains the data for remapping a discontinuous source field with CAAS.</p> <p>The folder "RealData" contains the cloud fraction data.</p>
FIGURE 3. Frullania iriomotensis S.Hatt. A in Range extension, taxonomic note, molecular-phylogenetic relationship, and conservation of Frullania iriomotensis S.Hatt. (Marchantiophyta, Frullaniaceae), a rare liverwort previously known only from the type locality in Japan
FIGURE 3. Frullania iriomotensis S.Hatt. A. Portion of plant with gynoecium and androecium, ventral view. B. Portion of plant with gynoecium, ventral view. C. Perianth. D–E. Innermost female bracts. F. Innermost female bracteole. G. Surface of perianth. H–I. Portions of perianth beak with single-celled protuberances. J. Transverse sections of perianth. L. Portion of plant with androecium, ventral view. M. Portion of plant, ventral view. A–J. from R.L. Zhu et al. 20210126–101B (HSNU), L–M. from M. Mizutani & I. Yoshimura 5506/a (holotype: NICH).
FIGURE 2. Frullania iriomotensis S.Hatt. A–C in Range extension, taxonomic note, molecular-phylogenetic relationship, and conservation of Frullania iriomotensis S.Hatt. (Marchantiophyta, Frullaniaceae), a rare liverwort previously known only from the type locality in Japan
FIGURE 2. Frullania iriomotensis S.Hatt. A–C. Portions of plant, A. dorsal view, B–C. ventral views. D. Lateral leaf. E. Underleaf. F. Leaf lobule. G. Stylus. H. Initial lobe of branch. I. Leaf lobe cells, showing oil bodies. J. Transverse section of stem. A–B., H–I. from R.L. Zhu et al. 20210126–102 (HSNU). C–G., J. from R.L. Zhu et al. 20210126–101B (HSNU).
FIGURE 1 in Range extension, taxonomic note, molecular-phylogenetic relationship, and conservation of Frullania iriomotensis S.Hatt. (Marchantiophyta, Frullaniaceae), a rare liverwort previously known only from the type locality in Japan
FIGURE 1. Majority-rule consensus tree based on Bayesian analyses of the combined dataset of nrITS–2, rbcL and trnL–F. Bayesian posterior probabilities values (BI–PP) and ML bootstrap values (ML–BS), are indicated at branches (BI–PP/ML–BS).
Co-designing conservation interventions through participatory action research in the Indian Trans-Himalaya
<ol> <li> <span>Community-based conservation, despite being more inclusive than fortress conservation, </span><span>has been criticized for being a top-down implementation of external ideas brought to local communities for conservation's benefit. This is particularly true for Changpas, the pastoral people of Changthang in trans-Himalayan India who live alongside unique wildlife. </span> </li> <li><span>Our main aim was to co-design conservation interventions through participatory action research. We worked with two Changpa communities, to understand issues faced by them. Subsequently, we co-designed context-sensitive interventions to facilitate positive human-nature interactions. We did so by integrating the PARTNERS (Presence, Aptness, Respect, Transparency, Empathy, Responsiveness, Strategic Support) principles with the Trinity of Voice (Access, Standing, and Influence). </span></li> <li><span>In Rupsho, we facilitated focus group discussions (FGDs) led by the community. We found livestock depredation by wildlife was primarily facilitated by the weather. This led to co-designing of a new corral design which was piloted with seven households, safeguarding 2,385 pashmina goat and sheep. Approximating the value of each sheep/goat to be USD125, this intervention amounts to a significant economic protection of USDc.42,500 for each household. This is along with intangible gains of trust, ownership, and improved self-esteem. </span></li> <li><span>In Tegazong, a restricted area adjoining the Indo-China border with no previous research records, we worked with 43 Changpa people to co-create research questions of mutual interest. Wildlife presence and reasons for livestock loss were identified as areas of mutual interest. The herders suggested they would record data in a form of their choice, for six months, while they live in their winter pastures. This participatory community monitoring revealed nutrition and hypothermia to be a key cause of livestock death. Subsequently, we delimited two previously untested interventions: lamb cribs and provisioning of locally-sourced barley as feed supplement. The wildlife monitoring recorded the first record of Tibetan Gazelle <em>Procapra picticuadata</em>, outside of their known distribution, in Tegazong. </span></li> <li><span>We aim to highlight the benefits of co-designing projects with local communities that link research and conservation, while also discussing the challenges faced. Ultimately, such projects are needed to ensure ethical knowledge generation and conservation that aims to be decolonial and inclusive.</span></li> </ol>
Data for: A tide of change – what we can learn from stories of marine conservation success
<p>Rapid deterioration of marine habitats and biodiversity under cumulative stressors have led to increased efforts to rebuild marine life. Yet, successes of such endeavors do not have prominent visibility in recent assessments, although these examples are particularly needed to guide future actions to achieve our shared aspiration of a healthy ocean. Here, we provide a comprehensive assessment of 217 verified marine conservation successes across the world's oceans and the main traits involved. Our findings reveal a balanced geography of success across the world's oceans and that human stewardship is essential for driving conservation success, especially when different stakeholders work together in rebuilding marine life. This assessment should inform future actions and build confidence that reversing the trajectory of loss towards repairing ocean health is feasible. It also provides a basis for a 'learning by doing' approach in guiding conservation success through an understanding of the levers for success versus failure.</p>
FIG. 3 in Swarming behaviour, catchment area and seasonal movement patterns of the Bechstein's bats: implications for conservation
FIG. 3. Examples illustrating the recovered movement patterns between maternity colonies and swarming sites. Individuals at swarming sites LA (A) and KG (B) were recovered at multiple colonies. Likewise, individuals recovered at colonies A (C) and H (D) were caught at different swarming sites on the same night. Capture site abbreviations and maternity colony IDs correspond to those used in Fig. 1 and Table 1
FIG. 2 in Swarming behaviour, catchment area and seasonal movement patterns of the Bechstein's bats: implications for conservation
FIG. 2. Map showing the minimum catchment polygon (dark grey), and maximum range circle (light grey) of the two main swarming sites (LA, KG). Country border between Belgium and the Netherlands (irregular black line), forest fragments (irregular grey patches), swarming sites (grey pentagons) and recovered roost sites (black dots) are also indicated
FIG. 1 in Swarming behaviour, catchment area and seasonal movement patterns of the Bechstein's bats: implications for conservation
FIG. 1. Map of the Belgium and adjacent countries (inset top right) indicating the location of study area. Within the study are (main figure), sampled swarming sites and recovered roost sites are indicated (grey pentagons and black circles, respectively). Forest fragments are shaded according to age (recent: light grey; ancient: dark grey). Capture site abbreviations correspond to those used in Table 1
Leaving disturbance legacies conserves boreal conifers and maximizes net CO2 absorption under climate change and more frequent and larger windthrow regimes
<p>No description provided.</p>
Fig. 3 in Evaluating the principles of wildlife conservation: a case study of wolf (Canis lupus) hunting in Michigan, United States
Fig. 3.—Seasonal occurrence of wolves killing cattle (depredation events) in Michigan, 1996–2012. Note that only 3.8% of depredations occur during the planned hunting season. Source: Michigan Department of Natural Resources (May 2014).
Fig. 2 in Evaluating the principles of wildlife conservation: a case study of wolf (Canis lupus) hunting in Michigan, United States
Fig. 2.—Verified instances of wolves killing cattle (depredations) in Michigan, 1996–2013. The solid line indicates losses from throughout the geographic range of wolves in Michigan, excluding losses that occurred on 1 farm. The dashed line is the additional losses attributable to that 1 farm, where poor animal husbandry likely increased the risk of depredations (see "Characterizing the Problems"). The number of depredations declined considerably just prior to the planning and implementation of Michigan's 1st wolf hunt in 2013. Source: Michigan Department of Natural Resources (May 2014).
Fig. 1 in Evaluating the principles of wildlife conservation: a case study of wolf (Canis lupus) hunting in Michigan, United States
Fig. 1.—Timeline of key political events pertaining to the management of Michigan wolves. The details of each event are given in "Chronology of Political Events." Events above the timeline disfavor wolves and events below the timeline favor wolves. Dashed boxes indicate actions initiated by citizens. Solid boxes indicate actions initiated by the government. Key actors in the timeline are the Michigan Natural Resource Commission (NRC), Michigan Department of Natural Resources (DNR), and the United States Endangered Species Act (ESA). The online version of this figure includes color to indicate which events were associated with the executive branch (green), the courts (black), and each of the particular laws—Public Act (PA) 520 (blue), Senate Bill (SB) 288 and PA 21 (red), and PA 281 (magenta).
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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)
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.
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.
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.
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.