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1. Economically optimal farmer supervision of crop robots

Author:
Elias Maritan; James Lowenberg-DeBoer; Karl Behrendt; Kit Franklin
Source:
Smart agricultural technology 2023 v.3 pp. 100110
ISSN:
2772-3755
Subject:
farm management; farmers; humans; models; technology; California
Abstract:
... One of the key issues in regulation of crop robots is the need for human supervision. Economic analysis indicates that autonomous farming potentially reduces agricultural production costs, but such costs may often become higher than conventional when constant on-site human supervision is required by law. However, there are cases where a higher level of crop robot supervision helps maximise profits ...
DOI:
10.1016/j.atech.2022.100110

2. Fast Bayesian inference on spectral analysis of multivariate stationary time series

Author:
Zhixiong Hu; Raquel Prado
Source:
Computational statistics & data analysis 2023 v.178 pp. 107596
ISSN:
0167-9473
Subject:
Bayesian theory; data collection; electroencephalography; models; spectral analysis; time series analysis; wind speed; California
Abstract:
... Spectral analysis discovers trends, periodic and other characteristics of a time series by representing these features in the frequency domain. However, when multivariate time series are considered, and the number of components increases, the size of the spectral density matrix grows quadratically, making estimation and inference rather challenging. The proposed novel Bayesian framework considers ...
DOI:
10.1016/j.csda.2022.107596

3. Novel production prediction model of gasoline production processes for energy saving and economic increasing based on AM-GRU integrating the UMAP algorithm

Author:
Jintao Liu; Liangchao Chen; Wei Xu; Mingfei Feng; Yongming Han; Tao Xia; Zhiqiang Geng
Source:
Energy 2023 v.262 pp. 125536
ISSN:
0360-5442
Subject:
algorithms; data collection; energy; equipment; gasoline; models; petroleum; prediction; raw materials; time series analysis; California
Abstract:
... Gasoline, as an extremely important petroleum product, is of great significance to ensure people's living standards and maintain national energy security. In the actual gasoline industrial production environment, the point information collected by industrial devices usually has the characteristics of high dimension, high noise and time series because of the instability of manual operation and equi ...
DOI:
10.1016/j.energy.2022.125536

4. Wildfire loss of forest soil C and N: Do pre-fire treatments make a difference?

Author:
Jianwei Zhang; Matt Busse; Silong Wang; Dave Young; Kim Mattson
Source:
Science of the total environment 2023 v.854 pp. 158742
ISSN:
0048-9697
Subject:
clearcutting; detritus; environment; forest litter; forest soils; forests; mineral soils; mountains; organic matter; soil compaction; soil productivity; topsoil; understory; wildfires; California
Abstract:
... Losses of C and N from the forest floor and top 20-cm of soil were estimated following separate severe wildfires at two Long-Term Soil Productivity sites in the Sierra Nevada of California, USA. Experimental treatments applied 20 years prior to the wildfires included factorial combinations of 1) organic matter (OM) removal following clear-cut harvesting (SO, stem only harvest, WTH, whole-tree harv ...
DOI:
10.1016/j.scitotenv.2022.158742

5. A life cycle model for evaluating estuary residency and recovery potential in Chinook salmon

Author:
Emily K. Chen; Nicholas A. Som; John D. Deibner-Hanson; David G. Anderson; Mark J. Henderson
Source:
Fisheries research 2023 v.257 pp. 106511
ISSN:
0165-7836
Subject:
Oncorhynchus tshawytscha; anadromous fish; eggs; estuaries; freshwater; habitat preferences; juveniles; life history; models; research; rivers; salmon; spring; summer; California
Abstract:
... Understanding the spatial and temporal habitat use of a population is a necessary step for recovery planning. For Chinook salmon (Oncorhynchus tshawytscha), variation in their migration and habitat use complicate predicting how restoring habitats could impact total recruitment. To evaluate how juvenile life history variation affects a population’s response to potential restoration, we developed a ...
DOI:
10.1016/j.fishres.2022.106511

6. 10 m crop type mapping using Sentinel-2 reflectance and 30 m cropland data layer product

Author:
Khuong H. Tran; Hankui K. Zhang; John T. McMaine; Xiaoyang Zhang; Dong Luo
Source:
International journal of applied earth observation and geoinformation 2022 v.107 pp. 102692
ISSN:
1569-8432
Subject:
USDA; algorithms; cropland; environmental assessment; food security; normalized difference vegetation index; precision agriculture; reflectance; spatial data; time series analysis; California; South Dakota
Abstract:
... The 30 m resolution U.S. Department of Agriculture (USDA) crop data layer (CDL) is a widely used crop type map for agricultural management and assessment, environmental impact assessment, and food security. A finer resolution crop type map can potentially reduce errors related to crop area estimation, field size characterization, and precision agriculture activities that requires crop growth infor ...
DOI:
10.1016/j.jag.2022.102692

7. An 11,300 yr record of paleoclimatology and paleoceanography of the central California coast in a gravity core from Pioneer Seamount

Author:
John A. Barron; Jason A. Addison; Linda E. Heusser; David Bukry; Valerie Schwartz; Amy Wagner
Source:
Quaternary international 2022 v.621 pp. 74-83
ISSN:
1040-6182
Subject:
Bacillariophyceae; Holocene epoch; Sequoia sempervirens; coasts; latitude; longitude; opal; paleoceanography; paleoclimatology; pollen; seamounts; silica; surface temperature; California
Abstract:
... Diatom, pollen, silicoflagellate, and biogenic opal analyses from a 155 cm-long gravity core from Pioneer Seamount, offshore Santa Cruz, California (PS1410-06 GC, latitude 37.3°N, longitude 123.4°W, water depth 2165 m) are compiled for the last ~11,300 years and compared with those of ODP 1019 and TN062-O550 from northern California. The relative abundance record of the subtropical diatom Fragilar ...
DOI:
10.1016/j.quaint.2019.12.019

8. The 2020 California fire season: A year like no other, a return to the past or a harbinger of the future?

Author:
Hugh D. Safford; Alison K. Paulson; Zachary L. Steel; Derek J. N. Young; Rebecca B. Wayman
Source:
Global ecology and biogeography 2022 v.31 no.10 pp. 2005-2025
ISSN:
1466-822X
Subject:
biogeography; climate; ecosystems; fire history; fire season; fire severity; fuels; historical records; people; resource management; socioeconomics; vapor pressure deficit; vegetation types; wildfires; wildlife; wind speed; California
Abstract:
... AIM: Wildfire burned area, fire size, fire severity and the ecological and socio‐economic impacts of fire have been increasing rapidly in California in recent decades. We summarize the record‐breaking 2020 wildfire season in California statistically, evaluate the drivers of high‐severity burning in the 2020 fires and consider implications for fire and resource management. LOCATION: California, USA ...
DOI:
10.1111/geb.13498

9. Acceleration of lipid oxidation in raw stored almond kernels in response to postharvest moisture exposure

Author:
Kathleen K Luo; Guangwei Huang; Alyson E Mitchell
Source:
Journal of the science of food and agriculture 2022 v.102 no.3 pp. 1155-1164
ISSN:
0022-5142
Subject:
agriculture; almonds; free fatty acids; headspace analysis; heat; hexanoic acid; lipid peroxidation; mechanical damage; peroxide value; rain; shelf life; water content; California
Abstract:
... BACKGROUND: Almonds are an important crop in California, and increased yields necessitate that dried in‐hull almonds are stored in the field for longer periods, increasing the potential for postharvest moisture exposure (e.g., rain, fog). Processors are increasingly drying these ‘wet’ almonds to a moisture content of <6% using low heat before the hulling and shelling process in order to reduce mec ...
DOI:
10.1002/jsfa.11452

10. The Accuracy of Precipitation Forecasts at Timescales of 1–15 Days in the Volta River Basin

Author:
Mekonnen Gebremichael; Haowen Yue; Vahid Nourani
Source:
Remote Sensing 2022 v.14 no.4 pp. -
ISSN:
2072-4292
Subject:
Sahel; lead; rain; watersheds; California; Guinea
Abstract:
... Medium-range (1–15 day) precipitation forecasts are increasingly available from global weather models. This study presents evaluation of the Global Forecast System (GFS) for the Volta river basin in West Africa. The evaluation was performed using two satellite-gauge merged products: NASA’s Integrated Multi-satellitE Retrievals (IMERG) “Final Run” satellite-gauge merged rainfall observations, and t ...
DOI:
10.3390/rs14040937

11. Accurate tracking of forest activity key to multi-jurisdictional management goals: A case study in California

Author:
Clarke A. Knight; Ryan E. Tompkins; Jonathan A. Wang; Robert York; Michael L. Goulden; John J. Battles
Source:
Journal of environmental management 2022 v.302 pp. 114083
ISSN:
0301-4797
Subject:
USDA Forest Service; algorithms; case studies; data collection; environmental management; forest management; forests; prescribed burning; rangelands; remote sensing; satellites; sustainable forestry; time series analysis; California
Abstract:
... An essential component of sustainable forest management is accurate monitoring of forest activities. Although monitoring efforts have generally increased for many forests throughout the world, in practice, effective monitoring is complex. Determining the magnitude and location of progress towards sustainability targets can be challenging due to diverse forest operations across multiple jurisdictio ...
DOI:
10.1016/j.jenvman.2021.114083

12. Acute Toxicity of Fungicide–Insecticide–Adjuvant Combinations Applied to Almonds During Bloom on Adult Honey Bees

Author:
Emily K. Walker; Guy N. Brock; Ryan S. Arvidson; Reed M. Johnson
Source:
Environmental toxicology and chemistry 2022 v.41 no.4 pp. 1042-1053
ISSN:
0730-7268
Subject:
active ingredients; acute toxicity; adjuvants; almonds; application rate; boscalid; ecotoxicology; exposure pathways; honey; honey bees; industry; insecticides; mortality; propiconazole; pyraclostrobin; solar radiation; California
Abstract:
... Beekeepers report significant honey bee deaths during and after almond bloom. These losses pose a major problem for the California almond industry because of its dependence on honey bees as pollinators. The present study aimed to determine if combinations of pesticides applied during almond bloom during daylight hours were a possible explanation for these losses. In this study we aimed to mimic th ...
DOI:
10.1002/etc.5297

13. An Adaptable Random Forest Model for the Declustering of Earthquake Catalogs

Author:
F. Aden‐Antoniów; W. B. Frank; L. Seydoux
Source:
Journal of geophysical research 2022 v.127 no.2 pp. e2021JB023254
ISSN:
2169-9313
Subject:
earthquakes; evolution; geophysics; models; research; support vector machines; tectonics; California; New Zealand
Abstract:
... Earthquake catalogs are essential to analyze the evolution of active fault systems. The background seismicity rate, or rate of earthquakes that are not directly triggered by other earthquakes, directly relates to the stressing rate, a crucial quantity for understanding the seismic hazards. Determining the background seismicity rate is challenging because aftershock sequences may dominate the seism ...
DOI:
10.1029/2021JB023254

14. Adapting to extreme events: small drinking water system manager perspectives on the 2012–2016 California Drought

Author:
Meghan Klasic; Amanda Fencl; Julia A. Ekstrom; Amanda Ford
Source:
Climatic change 2022 v.170 no.3-4 pp. 26
ISSN:
0165-0009
Subject:
climate; climate change; data collection; drought; income; politics; runoff; snowpack; water conservation; California; Southwestern United States
Abstract:
... Under a changing climate, droughts are projected to increase in frequency and duration in the Southwestern USA. Between 2012 and 2016, California experienced one of the region’s worst droughts, with record high temperatures and low snowpack, runoff, and precipitation. This study documents small drinking water system managers’ experiences during the 2012–2016 Drought. We contribute to research on w ...
DOI:
10.1007/s10584-021-03305-8

15. Adaptive VMD based optimized deep learning mixed kernel ELM autoencoder for single and multistep wind power forecasting

Author:
Vijaya Krishna Rayi; S.P. Mishra; Jyotirmayee Naik; P.K. Dash
Source:
Energy 2022 v.244 pp. 122585
ISSN:
0360-5442
Subject:
algorithms; energy; hydrologic cycle; prediction; time series analysis; wind; wind power; California; Spain; Wyoming
Abstract:
... In this paper, an efficient new hybrid time series forecasting model combining variational mode decomposition (VMD) and Deep learning mixed Kernel ELM (MKELM) Autoencoder (AE) has been presented for precise prediction of wind power. It is well known that KELM-AE avoids manual tuning of weights of hidden layer nodes, and exhibits superb model generalization property, reduces execution time, and pro ...
DOI:
10.1016/j.energy.2021.122585

16. Adaptive divergence in bill morphology and other thermoregulatory traits is facilitated by restricted gene flow in song sparrows on the California Channel Islands

Author:
Maybellene P. Gamboa; Cameron K. Ghalambor; T. Scott Sillett; Scott A. Morrison; W. Chris Funk
Source:
Molecular ecology 2022 v.31 no.2 pp. 603-619
ISSN:
0962-1083
Subject:
Melospiza melodia; adaptive radiation; climate; color; gene flow; genetic drift; genomics; phenotypic variation; physiology; plumage; population structure; California
Abstract:
... Disentangling the effects of neutral and adaptive processes in maintaining phenotypic variation across environmental gradients is challenging in natural populations. Song sparrows (Melospiza melodia) on the California Channel Islands occupy a pronounced east‐west climate gradient within a small spatial scale, providing a unique opportunity to examine the interaction of genetic isolation (reduced g ...
DOI:
10.1111/mec.16253

17. Adipose Tissue Radiodensity and Mortality among Patients with Nonmetastatic Breast Cancer

Author:
En Cheng; Bette J. Caan; Wendy Y. Chen; Melinda L. Irwin; Carla M. Prado; Elizabeth M. Cespedes Feliciano
Source:
Clinical nutrition 2022 pp. -
ISSN:
0261-5614
Subject:
adipocytes; adipose tissue; adiposity; body mass index; breast neoplasms; clinical nutrition; computed tomography; fibrosis; health services; inflammation; lipid content; mortality; prognosis; risk; standard deviation; vertebrae; California
Abstract:
... Computed tomography (CT) scans can measure quantity and distribution of adipose tissue, which are associated with breast cancer prognosis. As a novel prognostic marker, radiodensity of adipose tissue has been examined in multiple cancer types, but never in breast cancer. Lower density indicates larger adipocytes with greater lipid content, whereas higher density can reflect inflammation, fibrosis, ...
DOI:
10.1016/j.clnu.2022.09.016

18. Adoption of low-carbon fuels reduces race/ethnicity disparities in air pollution exposure in California

Author:
Yiting Li; Anikender Kumar; Yin Li; Michael J. Kleeman
Source:
Science of the total environment 2022 v.834 pp. 155230
ISSN:
0048-9697
Subject:
air pollution; air quality; carbon; climate; climate models; energy; environment; meteorology; nationalities and ethnic groups; pollutants; public health; California
Abstract:
... An environmental justice (EJ) analysis shows that adoption of low-carbon energy sources in the year 2050 reduces the race/ethnicity disparity in air pollution exposure in California by as much as 20% for PM₂.₅ mass and by as much as 40% for PM₀.₁ mass. An ensemble of six different energy scenarios constructed using the energy-economic optimization model CA-TIMES were evaluated in future years. Cri ...
DOI:
10.1016/j.scitotenv.2022.155230

19. Aerial Imagery-Based Building Footprint Detection with an Integrated Deep Learning Framework: Applications for Fine Scale Wildland–Urban Interface Mapping

Author:
Yuhan Huang; Yufang Jin
Source:
Remote Sensing 2022 v.14 no.15 pp. -
ISSN:
2072-4292
Subject:
hazard characterization; humans; remote sensing; wildfires; wildland; wildland-urban interface; California
Abstract:
... Human encroachment into wildlands has resulted in a rapid increase in wildland–urban interface (WUI) expansion, exposing more buildings and population to wildfire risks. More frequent mapping of structures and WUIs at a finer spatial resolution is needed for WUI characterization and hazard assessment. However, most approaches rely on high-resolution commercial satellite data with a particular focu ...
DOI:
10.3390/rs14153622

20. Aging of Volatile Organic Compounds in October 2017 Northern California Wildfire Plumes

Author:
Yutong Liang; Robert J. Weber; Pawel K. Misztal; Coty N. Jen; Allen H. Goldstein
Source:
Environmental science & technology 2022 v.56 no.3 pp. 1557-1567
ISSN:
1520-5851
Subject:
biomass; environmental science; furans; maleic anhydrides; mass spectrometry; organic carbon; oxidation; ozone; particulates; smoke; technology; terpenoids; urban areas; volatile organic compounds; wildfires; California
Abstract:
... In the western United States, the number and severity of large wildfires have been growing for decades. Biomass burning (BB) is a major source of volatile organic compounds (VOCs) to the atmosphere both globally and regionally. Following emission, BB VOCs are oxidized while being transported downwind, producing ozone, secondary organic aerosols, and secondary hazardous VOCs. In this research, we m ...
DOI:
10.1021/acs.est.1c05684