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Data from: Mortality Dynamics of a Polyphagous Invasive Herbivore Reveal Clues in Its Agroecosystem Success
,Field-based, partial life table data for immature stages of silverleaf whitefly, Bemisia argentifolii, on 6 host plants including alfalfa, broccoli, spring and fall cantaloupe, cotton, ornamental lantana, and several species of annual weeds in Maricopa, Marana and Yuma Arizona, USA. Data were collected on a total of 73 individual cohorts (each replicated 4 times) from November 2000 to April 2003 at all three study sites. For each cohort, data were generated on approximately 400 individual insects (200 eggs and 200 first instar nymphs). Data provide the marginal, cause-specific mortality for eggs, and 1st, 2nd, 3rd, and 4th instar nymphs collectively and stage-specific marginal mortality for each stage over all causes. Mortality was characterized as caused by inviability (eggs only), dislodgement, predation, parasitism (nymphs only), desiccation, and unknown. Detailed methods can be found in Naranjo and Ellsworth 2005 (Entomologia Experimentalis et Applicata 116(2): 93-108; https://doi.org/10.1111/j.1570-7458.2005.00297.x ; and Naranjo and Ellsworth 2017 (Journal of Visualized Experiments, 129; https://doi.org/10.3791/56150). The method takes advantage of the sessile nature of immature stages of this insect. Briefly, an observer follows individual eggs or settled first instar nymphs from natural populations on the underside of host plant leaves in the field with a hand lens and determines causes of death for each individual over time. Weather data was monitored using the University of Arizona AzMet system. Note that these life table data do not include adult mortality or reproduction. The life table data were used to generate survivorship curves for each cohort on each host plant based on a physiological time scale of accumulated degree-days above 10C from the initiation of each cohort.,,
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Rates of change in invasive annual grass cover to inform potential management opportunities across the sagebrush biome of the western United States
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We used Rangeland Condition Monitoring Assessment and Projection (RCMAP) maps of annual herbaceous fractional components (mostly invasive annual grasses) to calculate mean rate of change in invasive annual grass cover over five-year time periods. We also created a map that identifies zones of the sagebrush biome that could be prioritized for different management goals. The invasion of annual grasses has altered fire regimes and has contributed to the decline of sagebrush ecosystems. The vast expanse of annual grass invasions has required land managers to prioritize treatments in locations where they expect to be able to make a meaningful impact on invasion outcomes. Maps of invasive annual grass cover are useful in that they show the extent and severity of the invasion, but on their own, cover maps do not illustrate context such as how invasive cover is changing over time (i.e., increasing, stable, decreasing). The rate of change in invasive annual grass cover describes the trajectory of invasion. This information can be used by land managers to fine-tune priority locations and strategies for invasive species treatments in addition to other data sources (e.g., invasive annual grass cover maps).
Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2023 (ver. 4.0, May 2023)
공공데이터포털
These datasets provide early estimates of 2023 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a weekly basis from May to early July. The EAG estimates are developed typically within 7-13 days of the latest satellite observation used for that version. Each weekly release contains four fractional cover maps along with their corresponding confidence maps for: 1) a group of 16 species of EAGs, 2) cheatgrass (Bromus tectorum); 3) medusahead (Taeniatherum caput-medusae); and 4) Sandberg bluegrass (Poa secunda). These datasets were generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory, and Monitoring (AIM) data plots; Harmonized Landsat and Sentinel-2 (HLS) based Normalized Difference Vegetation Index (NDVI); other relevant environmental, vegetation, remotely sensed, and geophysical drivers; and artificial intelligence/machine learning techniques. A total of 28,901 AIM plots from years 2016–2022 were used to train an ensemble of five-fold regression-tree models using a cross-validation approach (each observation was used as test data once and as training data four times) that developed all the fractional cover maps. The geographic coverage includes arid and semi-arid rangelands in the western U.S classified as grassland/herbaceous by the 2019 National Land Cover Database at or below 2350-m elevation. Note: Maps of May 1st, 2023 were developed using satellite observation data no later than April 28. Maps of May 8th, 2023 were developed using satellite observation data no later than May 05. Maps of May 15th, 2023 were developed using satellite observation data no later than May 11. Maps of May 22nd, 2023 were developed using satellite observation data no later than May 19. Releases: First Release: May 01, 2023 (ver. 1.0) Revised: May 08, 2023 (ver. 2.0) Revised: May 15, 2023 (ver. 3.0) Revised: May 22, 2023 (ver. 4.0)
Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2023 (ver. 3.0, May 2023)
공공데이터포털
These datasets provide early estimates of 2023 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a weekly basis from May to early July. The EAG estimates are developed typically within 7-13 days of the latest satellite observation used for that version. Each weekly release contains four fractional cover maps along with their corresponding confidence maps for: 1) a group of 16 species of EAGs, 2) cheatgrass (Bromus tectorum); 3) medusahead (Taeniatherum caput-medusae); and 4) Sandberg bluegrass (Poa secunda). These datasets were generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory, and Monitoring (AIM) data plots; Harmonized Landsat and Sentinel-2 (HLS) based Normalized Difference Vegetation Index (NDVI); other relevant environmental, vegetation, remotely sensed, and geophysical drivers; and artificial intelligence/machine learning techniques. A total of 28,901 AIM plots from years 2016–2022 were used to train an ensemble of five-fold regression-tree models using a cross-validation approach (each observation was used as test data once and as training data four times) that developed all the fractional cover maps. The geographic coverage includes arid and semi-arid rangelands in the western U.S classified as grassland/herbaceous by the 2019 National Land Cover Database at or below 2350-m elevation. Note: Maps of May 1st, 2023 were developed using satellite observation data no later than April 28. Maps of May 8th, 2023 were developed using satellite observation data no later than May 05. Maps of May 15th, 2023 were developed using satellite observation data no later than May 11. Releases: First Release: May 01, 2023 (ver. 1.0) Revised: May 08, 2023 (ver. 2.0) Revised: May 15, 2023 (ver. 3.0)
Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2023 (ver. 2.0, May 2023)
공공데이터포털
These datasets provide early estimates of 2023 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a weekly basis from May to early July. The EAG estimates are developed typically within 7-13 days of the latest satellite observation used for that version. Each weekly release contains four fractional cover maps along with their corresponding confidence maps for: 1) a group of 16 species of EAGs, 2) cheatgrass (Bromus tectorum); 3) medusahead (Taeniatherum caput-medusae); and 4) Sandberg bluegrass (Poa secunda). These datasets were generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory, and Monitoring (AIM) data plots; Harmonized Landsat and Sentinel-2 (HLS) based Normalized Difference Vegetation Index (NDVI); other relevant environmental, vegetation, remotely sensed, and geophysical drivers; and artificial intelligence/machine learning techniques. A total of 28,901 AIM plots from years 2016–2022 were used to train an ensemble of five-fold regression-tree models using a cross-validation approach (each observation was used as test data once and as training data four times) that developed all the fractional cover maps. The geographic coverage includes arid and semi-arid rangelands in the western U.S classified as grassland/herbaceous by the 2019 National Land Cover Database at or below 2350-m elevation. Note: Maps of May 1st, 2023 were developed using satellite observation data no later than April 28. Maps of May 8th, 2023 were developed using satellite observation data no later than May 05. Releases: First Release: May 01, 2023 (ver. 1.0) Revised: May 08, 2023 (ver. 2.0)
Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2023 (ver. 2.0, May 2023)
공공데이터포털
These datasets provide early estimates of 2023 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a weekly basis from May to early July. The EAG estimates are developed typically within 7-13 days of the latest satellite observation used for that version. Each weekly release contains four fractional cover maps along with their corresponding confidence maps for: 1) a group of 16 species of EAGs, 2) cheatgrass (Bromus tectorum); 3) medusahead (Taeniatherum caput-medusae); and 4) Sandberg bluegrass (Poa secunda). These datasets were generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory, and Monitoring (AIM) data plots; Harmonized Landsat and Sentinel-2 (HLS) based Normalized Difference Vegetation Index (NDVI); other relevant environmental, vegetation, remotely sensed, and geophysical drivers; and artificial intelligence/machine learning techniques. A total of 28,901 AIM plots from years 2016–2022 were used to train an ensemble of five-fold regression-tree models using a cross-validation approach (each observation was used as test data once and as training data four times) that developed all the fractional cover maps. The geographic coverage includes arid and semi-arid rangelands in the western U.S classified as grassland/herbaceous by the 2019 National Land Cover Database at or below 2350-m elevation. Note: Maps of May 1st, 2023 were developed using satellite observation data no later than April 28. Maps of May 8th, 2023 were developed using satellite observation data no later than May 05. Releases: First Release: May 01, 2023 (ver. 1.0) Revised: May 08, 2023 (ver. 2.0)
Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2022 (ver 4.0, June 2022)
공공데이터포털
These datasets provide early estimates of 2022 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a bi-weekly basis from May to early July. The EAG estimates are developed within one week of the latest satellite observation used for that version. Each bi-weekly release contains four fractional cover maps along with their corresponding confidence maps for: 1) a group of 16 species of EAGs, 2) cheatgrass (Bromus tectorum); 3) medusahead (Taeniatherum caput-medusae); and 4) Sandberg bluegrass (Poa secunda). These datasets were generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory, and Monitoring (AIM) data plots; Harmonized Landsat and Sentinel-2 (HLS) based Normalized Difference Vegetation Index (NDVI); HLS-based Normalized Difference Water Index (NDWI); other relevant environmental, vegetation, remotely sensed, and geophysical drivers; and artificial intelligence/machine learning techniques. A total of 19,415 AIM plots from years 2016 – 2021 were used to train an ensemble of five-fold regression-tree models using a cross-validation approach (each observation was used as test data once) that developed all the fractional cover maps. The geographic coverage includes arid and semi-arid rangelands in the western U.S at or below 2350-m elevation. Note: Maps of May 6th, 2022 were developed using satellite observation data no later than April 29. Maps of May 18th, 2022 were developed using satellite observation data no later than May 13. Maps of June 3rd, 2022 were developed using satellite observation data no later than May 27. First release: 2022 Revised: May 17, 2022 (ver. 2.0) Revised: May 25, 2022 (ver. 3.0) Revised: June 03, 2022 (ver. 4.0)
Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2023 (ver. 1.0, May 2023)
공공데이터포털
These datasets provide early estimates of 2023 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a weekly basis from May to early July. The EAG estimates are developed typically within 7-13 days of the latest satellite observation used for that version. Each weekly release contains four fractional cover maps along with their corresponding confidence maps for: 1) a group of 16 species of EAGs, 2) cheatgrass (Bromus tectorum); 3) medusahead (Taeniatherum caput-medusae); and 4) Sandberg bluegrass (Poa secunda). These datasets were generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory, and Monitoring (AIM) data plots; Harmonized Landsat and Sentinel-2 (HLS) based Normalized Difference Vegetation Index (NDVI); other relevant environmental, vegetation, remotely sensed, and geophysical drivers; and artificial intelligence/machine learning techniques. A total of 28,901 AIM plots from years 2016–2022 were used to train an ensemble of five-fold regression-tree models using a cross-validation approach (each observation was used as test data once and as training data four times) that developed all the fractional cover maps. The geographic coverage includes arid and semi-arid rangelands in the western U.S classified as grassland/herbaceous by the 2019 National Land Cover Database at or below 2350-m elevation. Note: Maps of May 1st, 2023 were developed using satellite observation data no later than April 28. Releases: First Release: May 01, 2023 (ver. 1.0)
Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2023 (ver. 1.0, May 2023)
공공데이터포털
These datasets provide early estimates of 2023 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a weekly basis from May to early July. The EAG estimates are developed typically within 7-13 days of the latest satellite observation used for that version. Each weekly release contains four fractional cover maps along with their corresponding confidence maps for: 1) a group of 16 species of EAGs, 2) cheatgrass (Bromus tectorum); 3) medusahead (Taeniatherum caput-medusae); and 4) Sandberg bluegrass (Poa secunda). These datasets were generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory, and Monitoring (AIM) data plots; Harmonized Landsat and Sentinel-2 (HLS) based Normalized Difference Vegetation Index (NDVI); other relevant environmental, vegetation, remotely sensed, and geophysical drivers; and artificial intelligence/machine learning techniques. A total of 28,901 AIM plots from years 2016–2022 were used to train an ensemble of five-fold regression-tree models using a cross-validation approach (each observation was used as test data once and as training data four times) that developed all the fractional cover maps. The geographic coverage includes arid and semi-arid rangelands in the western U.S classified as grassland/herbaceous by the 2019 National Land Cover Database at or below 2350-m elevation. Note: Maps of May 1st, 2023 were developed using satellite observation data no later than April 28. Releases: First Release: May 01, 2023 (ver. 1.0)
Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2023 (ver. 5.0, May 2023)
공공데이터포털
These datasets provide early estimates of 2023 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a weekly basis from May to early July. The EAG estimates are developed typically within 7-13 days of the latest satellite observation used for that version. Each weekly release contains four fractional cover maps along with their corresponding confidence maps for: 1) a group of 16 species of EAGs, 2) cheatgrass (Bromus tectorum); 3) medusahead (Taeniatherum caput-medusae); and 4) Sandberg bluegrass (Poa secunda). These datasets were generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory, and Monitoring (AIM) data plots; Harmonized Landsat and Sentinel-2 (HLS) based Normalized Difference Vegetation Index (NDVI); other relevant environmental, vegetation, remotely sensed, and geophysical drivers; and artificial intelligence/machine learning techniques. A total of 28,901 AIM plots from years 2016–2022 were used to train an ensemble of five-fold regression-tree models using a cross-validation approach (each observation was used as test data once and as training data four times) that developed all the fractional cover maps. The geographic coverage includes arid and semi-arid rangelands in the western U.S classified as grassland/herbaceous by the 2019 National Land Cover Database at or below 2350-m elevation. Note: Maps of May 1st, 2023 were developed using satellite observation data no later than April 28. Maps of May 8th, 2023 were developed using satellite observation data no later than May 05. Maps of May 15th, 2023 were developed using satellite observation data no later than May 11. Maps of May 22nd, 2023 were developed using satellite observation data no later than May 19. Maps of May 29th, 2023 were developed using satellite observation data no later than May 26. Releases: First Release: May 01, 2023 (ver. 1.0) Revised: May 08, 2023 (ver. 2.0) Revised: May 15, 2023 (ver. 3.0) Revised: May 22, 2023 (ver. 4.0) Revised: May 29, 2023 (ver. 5.0)
Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2022 (ver 5.0, June 2022)
공공데이터포털
These datasets provide early estimates of 2022 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a bi-weekly basis from May to early July. The EAG estimates are developed within one week of the latest satellite observation used for that version. Each bi-weekly release contains four fractional cover maps along with their corresponding confidence maps for: 1) a group of 16 species of EAGs, 2) cheatgrass (Bromus tectorum); 3) medusahead (Taeniatherum caput-medusae); and 4) Sandberg bluegrass (Poa secunda). These datasets were generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory, and Monitoring (AIM) data plots; Harmonized Landsat and Sentinel-2 (HLS) based Normalized Difference Vegetation Index (NDVI); HLS-based Normalized Difference Water Index (NDWI); other relevant environmental, vegetation, remotely sensed, and geophysical drivers; and artificial intelligence/machine learning techniques. A total of 19,415 AIM plots from years 2016 – 2021 were used to train an ensemble of five-fold regression-tree models using a cross-validation approach (each observation was used as test data once) that developed all the fractional cover maps. The geographic coverage includes arid and semi-arid rangelands in the western U.S at or below 2350-m elevation. Note: Maps of May 6th, 2022 were developed using satellite observation data no later than April 29. Maps of May 18th, 2022 were developed using satellite observation data no later than May 13. Maps of June 3rd, 2022 were developed using satellite observation data no later than May 27. Maps of June 15th, 2022 were developed using satellite observation data no later than June 11. First release: 2022 Revised: May 17, 2022 (ver. 2.0) Revised: May 25, 2022 (ver. 3.0) Revised: June 03, 2022 (ver. 4.0) Revised: June 15, 2022 (ver. 5.0)
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