4,561,866 research outputs found
Recommended from our members
Sage Grouse Initiative
No full textBrochure. What’s good for rangelands is good for grouse. That’s
the Sage Grouse Initiative brand and why hundreds
of partners are teaming up to achieve world-class
wildlife conservation through sustainable ranching
Recommended from our members
Science to Solutions: Conifer Removal Boosts Sage Grouse Success
No full textIn recent years the Sage Grouse Initiative, led by the USDA’s Natural Resources Conservation Service, has worked with many partners to accelerate the mechanical removal of invading conifer trees, primarily junipers, to restore sagebrush habitats in and around sage grouse strongholds across the West. Replicated studies from public and private land in southern Oregon and northwest Utah are the first to document sage grouse response to this type of landscape-level habitat restoration effort. Despite conventional wisdom that female sage grouse use the same nesting areas every year, space-starved hens in Oregon were quick to use restored habitats made available by conifer removal: within four years, 29% of the tracked sage grouse were nesting within and near restored habitats. In Utah, 86% of hens avoided conifer invaded habitats, and those using restored habitats were more likely to raise a brood. Taken together, studies show that landscape-level conifer removal can effectively increase habitat availability and boost success for nesting and brooding sage grouse
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Report on National Greater Sage Grouse Conservation Measures
No full textThis document provides the latest science and best biological judgment to assist in making management decisions. Fortunately, recent emphasis on sage-grouse conservation has resulted in a substantial number of publications dealing with a variety of aspects of sage-grouse ecology and management, summarized in the 2010 listing petition (75 FR 13910), as well as Knick and Connelly (2011b). Habitat requirements and other life history aspects of sage-grouse, excerpted from the USFWS listing decision (75 FR 13910), are summarized in Appendix A to provide context for the proposed conservation measures. We have attempted to describe the scientific basis for the conservation measures proposed within each program area. Perspectives on the nature and interpretation of the available science are in Appendix B. The conservation measures described in this report are not an end point but, rather, a starting point to be used in the BLM’s planning processes. Due to time constraints, they are focused primarily on priority sage- grouse habitat areas. General habitat conservation areas were not thoroughly discussed or vetted through the NTT, and the concept of connectivity between priority sage-grouse habitat areas will need more development through the BLM planning process
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Science to Solutions: Sage Grouse Need Intact Landscapes For Long- Distance Movement
No full textTwo new studies revealed unknown long-distance dispersal and migration movements in sage grouse that offer fresh insights for conservation. Using DNA from feathers dropped at leks, scientists discovered that some grouse (about 1% of populations) travel long distances to explore breeding areas up to 120 miles away—movements that can potentially boost populations and temper inbreeding. A separate satellite-telemetry study of sage grouse that migrate between Saskatchewan and Montana found that this population migrates annually up to 150 miles roundtrip between seasonal ranges. During migration, grouse use pathways through intact habitat and rest and refuel at stopover sites. Taken together, these findings underscore the need to conserve intact sagebrush habitats across large landscapes on both public and private lands to sustain sage grouse movement pathways, their populations, and genetic diversity
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Science to Solutions: Private Lands Vital to Conserving Wet Areas for Sage Grouse Summer Habitat
No full textIn the arid West, life follows water. Habitats near water – streamsides, wet meadows and wetlands — support the greatest variety of animal and plant life, and attract wildlife during their daily and seasonal movements. In a water-scarce landscape, these lush habitats are also where people have naturally settled. A recent groundbreaking study reveals a strong link between wet sites, which are essential summer habitat for sage grouse to raise their broods, and the distribution of sage grouse breeding areas or leks. The authors found 85% of leks were clustered within 6 miles of these wet summer habitats. Moreover, although wet habitats cover less than 2% of the western landscape, more than 80% are located on private lands. This study makes it clear that successful sage grouse conservation will greatly depend on cooperative ventures with private landowners, ranchers and farmers to help sustain vital summer habitats
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Science to Solutions: Grazing Management In Perspective: A Compatible Tool For Sage Grouse Conservation
No full textResearch evaluating effects of livestock grazing on greater sage-grouse nest survival suggests that a variety of locally-appropriate range management strategies support grouse populations. A new Montana study comparing effects of specialized grazing systems on ranches enrolled in the NRCS-led Sage Grouse Initiative (SGI) to ranches not enrolled in SGI grazing programs found no difference in nest survival: in both cases, long-term nest success (40-49%) was consistent with the rangewide survival rates of a stable sage grouse population. Researchers also reported heights of live and senesced grasses that were within a half-inch of each other on SGI-enrolled ranches versus non-enrolled ranches. The take-home message is that, done sustainably, grazing is a highly compatible land use for maintaining sage grouse populations, and is wholly preferred over habitat-destroying alternatives like cropland cultivation or subdivision development. Farm Bill-funded assistance through SGI to enhance grazing practices may contribute to protecting habitat by keeping ranching operations profitable and sustainable
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Science to Solutions: Reducing Cultivation of Grazing Lands Conserves Sage Grouse
No full textIn the northeast part of sage grouse range, 70% of the best habitat is privately owned – and the single greatest threat in this region is cultivation of native sagebrush grazing lands. Scientists assessed lands in eastern Montana, the western Dakotas, and northeast Wyoming to evaluate potential impacts to sage grouse if more land is converted from sagebrush to crops. They found that 96% of active leks today are surrounded by less than 15% cropland, and that a 50% increase in cultivation would decrease the region’s populations by 5%. Scientists then found solutions by evaluating the roles of state and federal policies as well as conservation easements to mitigate risk to sage grouse. Together, the Sodsaver policy in the 2014 Farm Bill, proposed policies on state lands, and a $146 million easement investment can reduce by 87% the bird losses that would have occurred without these conservation measures in place. Maps resulting from this science are now helping partners maximize their return on investment by placing easements in landscapes where they help grouse the most
Sage-Bionetworks/agora-data-tools: 0.3.0
No full text<h2>What's Changed</h2>
<ul>
<li>Added transform for biodomain_info by @jaclynbeck-sage in https://github.com/Sage-Bionetworks/agora-data-tools/pull/79</li>
<li>AG-1143/transform distribution data testing by @jaclynbeck-sage in https://github.com/Sage-Bionetworks/agora-data-tools/pull/82</li>
<li>AG-1147/AG-1148/AG-1098: Add tests for rna seq data and rna distribution data by @jaclynbeck-sage in https://github.com/Sage-Bionetworks/agora-data-tools/pull/80</li>
<li>jbeck/AG-1145/transform overall scores testing by @jaclynbeck-sage in https://github.com/Sage-Bionetworks/agora-data-tools/pull/81</li>
<li>AG-1146/transform proteomics distribution testing by @jaclynbeck-sage in https://github.com/Sage-Bionetworks/agora-data-tools/pull/83</li>
<li>AG-841: Add ingest/merge of tep_adi_info into gene_info transform by @jaclynbeck-sage in https://github.com/Sage-Bionetworks/agora-data-tools/pull/84</li>
<li>AG-1196: Sort gene_info.biodomains to generate consistent ordering by @JessterB in https://github.com/Sage-Bionetworks/agora-data-tools/pull/86</li>
<li>AG-1191: Consume updated tep_adi source file by @JessterB in https://github.com/Sage-Bionetworks/agora-data-tools/pull/87</li>
<li>AG-1161 Updated gene_info transform with renamed columns by @jaclynbeck-sage in https://github.com/Sage-Bionetworks/agora-data-tools/pull/88</li>
<li>AG-1150: Update source file and provenance versions to pick up IU nom… by @JessterB in https://github.com/Sage-Bionetworks/agora-data-tools/pull/89</li>
<li>AG-1239: Bump team_info source version to pick up corrected data by @JessterB in https://github.com/Sage-Bionetworks/agora-data-tools/pull/91</li>
<li>[IBCDPE-386] Adds CI step to publish GHCR container by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/92</li>
<li>[IBCDPE-386] Update README.md by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/93</li>
<li>[IBCDPE-683] Updates Python Versions by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/94</li>
<li>Ag-866/Ag-1227 Process SRM DE data by @jaclynbeck-sage in https://github.com/Sage-Bionetworks/agora-data-tools/pull/90</li>
<li>AG-1117: Add new ensembl info fields to gene_info transform by @jaclynbeck-sage in https://github.com/Sage-Bionetworks/agora-data-tools/pull/95</li>
<li>[IBCDPE-527] Makes <code>syn</code> always required by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/97</li>
<li>[IBCDPE-688] Great Expectations Implementation for Metabolomics Data by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/96</li>
<li>[IBCDPE-430] Support shared source file definitions in config by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/99</li>
<li>[IBCDPE-430] Remove the top level array in the configuration files by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/98</li>
<li>Updated GWAS pre-processing step to remove HASGs from BioMart by @jaclynbeck-sage in https://github.com/Sage-Bionetworks/agora-data-tools/pull/100</li>
<li>[IBCDPE-421] Deprecates <code>agoradatatools/etl/test.py</code> by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/101</li>
<li>[IBCDPE-734] Updates <code>pyarrow</code> Version by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/102</li>
<li>[IBCDPE-712] Implement Great Expectations for the <code>genes_biodomains</code> Datset by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/103</li>
<li>AG-1305: Validate '23 new nominations and related data updates by @JessterB in https://github.com/Sage-Bionetworks/agora-data-tools/pull/104</li>
<li>AG-1305: Bump source file versions to pick up misc data fixes by @JessterB in https://github.com/Sage-Bionetworks/agora-data-tools/pull/105</li>
<li>AG-1305: Bump harmonized_targets source version to pick up 2 late nominations by @JessterB in https://github.com/Sage-Bionetworks/agora-data-tools/pull/106</li>
<li>AG-1305: Bump exp_val provenance version to align with source version by @JessterB in https://github.com/Sage-Bionetworks/agora-data-tools/pull/107</li>
<li>AG-1305: Bump source file versions in config.yaml for prod processing by @JessterB in https://github.com/Sage-Bionetworks/agora-data-tools/pull/108</li>
<li>AG-1305: Pick up final source file adjustments for 23 nominations by @JessterB in https://github.com/Sage-Bionetworks/agora-data-tools/pull/109</li>
<li>AG-1305: Bump targets source version to collapse metabolom(e)(ics) GCT filters by @JessterB in https://github.com/Sage-Bionetworks/agora-data-tools/pull/110</li>
<li>[IBCDPE-419] Initial Setup of <code>pre-commit</code> for ADT by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/112</li>
<li>[AG-1314] JSON Schema Validation GX Prototyping by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/111</li>
<li>Updated nest_fields util function by @jaclynbeck-sage in https://github.com/Sage-Bionetworks/agora-data-tools/pull/114</li>
<li>[IBCDPE-791] Implement Great Expectations for the <code>overall_scores</code> Dataset by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/115</li>
<li>SRM remove multiple ENSGs per peptide by @jaclynbeck-sage in https://github.com/Sage-Bionetworks/agora-data-tools/pull/113</li>
<li>[IBCDPE-790] Implement Great Expectations for the <code>neuropath_corr</code> Dataset by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/116</li>
<li>[IBCDPE-792] Implement Great Expectations for the <code>proteomics_distribution_data</code> Dataset by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/118</li>
<li>[IBCDPE-793] Implement Great Expectations for the <code>proteomics_tmt</code> Dataset by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/119</li>
<li>[IBCDPE-800] Bumps pandas and synapseclient versions by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/122</li>
<li>[IBCDPE-798] Implements GX Expectation Suite for <code>team_info</code> Dataset by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/123</li>
<li>Updated biodomains file to v5 by @jaclynbeck-sage in https://github.com/Sage-Bionetworks/agora-data-tools/pull/125</li>
<li>Jbeck/ag 1144/transform gene info testing by @jaclynbeck-sage in https://github.com/Sage-Bionetworks/agora-data-tools/pull/121</li>
<li>Fix genes_biodomains transform to drop duplicate rows by @jaclynbeck-sage in https://github.com/Sage-Bionetworks/agora-data-tools/pull/127</li>
<li>Bumped version of target_exp_validation_harmonized by @jaclynbeck-sage in https://github.com/Sage-Bionetworks/agora-data-tools/pull/128</li>
<li>[AG-1386] Implement Error Catching for GX Data Validation by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/129</li>
<li>[IBCDPE-797] Adds <code>target_exp_validation_harmonized</code> Expectation Suite by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/126</li>
<li>[IBCDPE-835] Revamps GX Report Uploads by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/130</li>
<li>[AG-1385] Fixes JSON Schema expectation passing when it should fail by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/131</li>
<li>Update gene metadata file to remove biomart-only genes by @jaclynbeck-sage in https://github.com/Sage-Bionetworks/agora-data-tools/pull/132</li>
<li>[IBCDPE-946] Adds Optional Uploading by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/133</li>
<li>Updates CI Workflow by @BWMac in https://github.com/Sage-Bionetworks/agora-data-tools/pull/134</li>
</ul>
<p><strong>Full Changelog</strong>: https://github.com/Sage-Bionetworks/agora-data-tools/compare/0.2.0...0.3.0</p>
Sage-Bionetworks/schematic: v22.10.1
No full textWhat's Changed
allow users to upload csv or json file when submitting manifest using API endpoints by @linglp in https://github.com/Sage-Bionetworks/schematic/pull/908
allow users to upload csv or json file when validating manifest using API endpoints by @linglp in https://github.com/Sage-Bionetworks/schematic/pull/910
Develop table schema fix replacements by @GiaJordan in https://github.com/Sage-Bionetworks/schematic/pull/947
Fixing parsing of table schema parameters on table replace by @milen-sage in https://github.com/Sage-Bionetworks/schematic/pull/945
Release 22.10.1 by @GiaJordan in https://github.com/Sage-Bionetworks/schematic/pull/950
Full Changelog: https://github.com/Sage-Bionetworks/schematic/compare/v22.9.1...v22.10.
Sage-Bionetworks/schematic: v22.09.1
No full textWhat's Changed
Develop optional rule args by @GiaJordan in https://github.com/Sage-Bionetworks/schematic/pull/843
Containerizing schematic (and update dependencies as needed) by @BrunoGrandePhD in https://github.com/Sage-Bionetworks/schematic/pull/882
add endpoint find_class_specific_properties by @linglp in https://github.com/Sage-Bionetworks/schematic/pull/890
add route get_subgraph_by_edge_type by @linglp in https://github.com/Sage-Bionetworks/schematic/pull/891
create endpoint to return schema as a pickle file by @linglp in https://github.com/Sage-Bionetworks/schematic/pull/892
poetry documentation by @linglp in https://github.com/Sage-Bionetworks/schematic/pull/895
Add support for Schematic API to Dockerfile by @BrunoGrandePhD in https://github.com/Sage-Bionetworks/schematic/pull/887
Create project table manifests, move entities to new project by @mialy-defelice in https://github.com/Sage-Bionetworks/schematic/pull/829
add concurrency to github action by @linglp in https://github.com/Sage-Bionetworks/schematic/pull/896
HOTFIX: Mixed type column manifest table upload by @GiaJordan in https://github.com/Sage-Bionetworks/schematic/pull/902
update asset view table endpoint to allow returning a json by @linglp in https://github.com/Sage-Bionetworks/schematic/pull/912
added get_node_range endpoint by @andrewelamb in https://github.com/Sage-Bionetworks/schematic/pull/904
added get_property_label endpoint by @andrewelamb in https://github.com/Sage-Bionetworks/schematic/pull/905
added node_dependencies endpoint by @andrewelamb in https://github.com/Sage-Bionetworks/schematic/pull/906
Allow schema.org schema to be loaded and used by @GiaJordan in https://github.com/Sage-Bionetworks/schematic/pull/903
add example workbook to demo cli functions by @linglp in https://github.com/Sage-Bionetworks/schematic/pull/916
change manifest name for censored manifest when upload by @linglp in https://github.com/Sage-Bionetworks/schematic/pull/931
Add Restriction Flag to Make Synapse Table Method by @GiaJordan in https://github.com/Sage-Bionetworks/schematic/pull/935
Develop Table Uploads: Replace by @GiaJordan in https://github.com/Sage-Bionetworks/schematic/pull/917
Release 22.9.1 by @linglp in https://github.com/Sage-Bionetworks/schematic/pull/934
Full Changelog: https://github.com/Sage-Bionetworks/schematic/compare/v22.8.1...v22.9.
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