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  • 1
    In: Fire Ecology, Springer Science and Business Media LLC, Vol. 19, No. 1 ( 2023-04-03)
    Abstract: Los incendios de vegetación constituyen uno de los mayores problemas que afectan a las personas y los recursos naturales del sur de California, y la proyección de que el calentamiento del clima podría llevar a mayores probabilidades de incendios en el futuro es motivo de preocupación. Sin embargo, la conexión del cambio climático con la probabilidad esperada de incendios a futuro es compleja. Mientras que la mayoría de los modelos generalmente muestran temperaturas que se incrementan en el futuro, los cambios en la humedad y la temperatura son menos ciertos, y estos cambios interactúan para generar proyecciones de climas futuros que son algunas veces, aunque no siempre, más conducentes a fuegos de vegetación. Nosotros hicimos correr el FSim, un modelo de propagación del fuego estocástico y de resolución espacial (270 m) y temporal (diario), con un Componente Proyectado de Liberación de Energía (ERC por sus siglas en inglés), derivado de múltiples modelos del clima global (GCMs) bajo el escenario de cambio climático RCP8.5. Esto fue hecho para explorar el impacto de un rango de futuras trayectorias del clima en probabilidades de fuegos simulados y para cuantificar la incertidumbre que proviene de múltiples GCMs. Resultados Observamos una gran incertidumbre en la futura dirección del cambio en la probabilidad de ocurrencia de incendios. Los cambios futuros fueron más seguros en la región de la costa sur de California, en donde el 75% de las simulaciones proyectaron un incremento en la probabilidad de incendios. En la región de la costa central, cinco de un total de ocho simulaciones basadas en GCMs proyectaron un incremento en la probabilidad de incendios. Menos del 1% del total del área de estudio con probabilidad de quemarse presentó un acuerdo unánime en la dirección de los cambios proyectados. Los cambios simulados en la probabilidad de incendios estuvieron directamente correlacionados a las proyecciones anuales de cambios en ERC, pero estuvieron también afectados por la estacionalidad del cambio ERC, como también en las interacciones entre humedad, precipitación y temperatura. Conclusiones La variabilidad observada permite conocer el porqué, y bajo qué condiciones de clima, las probabilidades de incendio pueden aumentar o disminuir en el futuro. Nuestro estudio es novedoso en la exploración dentro un rango amplio de proyecciones potenciales de futuras probabilidades de incendios para el sur de California, utilizando una aplicación regional de un modelo de propagación del fuego estocástico y de alta resolución. La complejidad que nosotros demostramos para el sur de California sugiere que las correlaciones simples del incremento del fuego con el aumento de las temperaturas están probablemente subestimando el rango de posibles escenarios de fuego futuros.
    Type of Medium: Online Resource
    ISSN: 1933-9747
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 2575363-0
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  • 2
    Online Resource
    Online Resource
    American Geophysical Union (AGU) ; 2024
    In:  Journal of Geophysical Research: Biogeosciences Vol. 129, No. 2 ( 2024-02)
    In: Journal of Geophysical Research: Biogeosciences, American Geophysical Union (AGU), Vol. 129, No. 2 ( 2024-02)
    Abstract: Climate change may drive shifts to fire regimes with more frequent and larger fires in the moist temperate forests of the Pacific Northwest Describing uncertainties of how, when, and where climate change may alter fire regimes helps bracket expectations for the future The largest increases to burn probability, fire size, and number of fires are projected to occur in the cooler, wetter parts of the region
    Type of Medium: Online Resource
    ISSN: 2169-8953 , 2169-8961
    Language: English
    Publisher: American Geophysical Union (AGU)
    Publication Date: 2024
    detail.hit.zdb_id: 3094167-2
    detail.hit.zdb_id: 2220777-6
    SSG: 16,13
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  • 3
    In: Ecology, Wiley, Vol. 102, No. 3 ( 2021-03)
    Abstract: The response of understory trees to climate variability is key to understanding current and future forest dynamics. However, analyses of climatic effects on tree growth have primarily focused on the upper canopy, leaving understory dynamics unresolved. We analyzed differences in climate sensitivity based on canopy position of four common tree species ( Acer rubrum , Fagus grandifolia , Quercus rubra , and Tsuga canadensis ) using growth information from 1,084 trees across eight sites in the northeastern United States. Effects of canopy position on climate response varied, but were significant and often nonlinear, for all four species. Compared to overstory trees, understory trees showed stronger reductions in growth at high temperatures and varied shifts in precipitation response. This contradicts the prevailing assumption that climate responses, particularly to temperature, of understory trees are buffered by the overstory. Forest growth trajectories are uncertain in compositionally and structurally complex forests, and future demography and regeneration dynamics may be misinferred if not all canopy levels are represented in future forecasts.
    Type of Medium: Online Resource
    ISSN: 0012-9658 , 1939-9170
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2021
    detail.hit.zdb_id: 1797-8
    detail.hit.zdb_id: 2010140-5
    SSG: 12
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  • 4
    In: Journal of Archaeological Science, Elsevier BV, Vol. 40, No. 1 ( 2013-01), p. 481-489
    Type of Medium: Online Resource
    ISSN: 0305-4403
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2013
    detail.hit.zdb_id: 1468969-8
    SSG: 6,14
    SSG: 6,11
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  • 5
    In: Heliyon, Elsevier BV, Vol. 6, No. 6 ( 2020-06), p. e04159-
    Type of Medium: Online Resource
    ISSN: 2405-8440
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2020
    detail.hit.zdb_id: 2835763-2
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  • 6
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2021
    In:  Natural Hazards Vol. 107, No. 1 ( 2021-05), p. 911-935
    In: Natural Hazards, Springer Science and Business Media LLC, Vol. 107, No. 1 ( 2021-05), p. 911-935
    Type of Medium: Online Resource
    ISSN: 0921-030X , 1573-0840
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
    detail.hit.zdb_id: 2017806-2
    SSG: 14
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  • 7
    Online Resource
    Online Resource
    American Geophysical Union (AGU) ; 2020
    In:  Geophysical Research Letters Vol. 47, No. 16 ( 2020-08-28)
    In: Geophysical Research Letters, American Geophysical Union (AGU), Vol. 47, No. 16 ( 2020-08-28)
    Abstract: Summer low cloudiness separates into four distinct spatiotemporal sectors: oceanic, terrestrial highlands, coastal, and northern coastal modes Low cloudiness is strongest over the Pacific, where it peaks in midsummer; terrestrial and coastal areas peak in late summer Satellite records suggest a terrestrial highlands decline in low cloudiness over time, but airport records do not
    Type of Medium: Online Resource
    ISSN: 0094-8276 , 1944-8007
    Language: English
    Publisher: American Geophysical Union (AGU)
    Publication Date: 2020
    detail.hit.zdb_id: 2021599-X
    detail.hit.zdb_id: 7403-2
    SSG: 16,13
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  • 8
    In: Ecosphere, Wiley, Vol. 13, No. 6 ( 2022-06)
    Abstract: Wildfires devastated communities in Oregon and Washington in September 2020, burning almost as much forest west of the Cascade Mountain crest (“the westside”) in 2 weeks (~340,000 ha) as in the previous five decades (~406,00 ha). Unlike dry forests of the interior western United States, temperate rain forests of the Pacific Northwest have experienced limited recent fire activity, and debates surrounding what drove the 2020 fires, and management strategies to adapt to similar future events, necessitate a scientific evaluation of the fires. We evaluate five questions regarding the 2020 Labor Day fires: (1) How do the 2020 fires compare with historical fires? (2) How did the roles of weather and antecedent climate differ geographically and from the recent past (1979–2019)? (3) How do fire size and severity compare to other recent fires (1985–2019), and how did forest management and prefire forest structure influence burn severity? (4) What impact will these fires have on westside landscapes? and (5) How can we adapt to similar fires in the future? Although 5 of the 2020 fires were much larger than any others in the recent past and burned ~10 times the area in high‐severity patches 〉 10,000 ha, the 2020 fires were remarkably consistent with historical fires. Reports from the early 1900s, along with paleo‐ and dendro‐ecological records, indicate similar and potentially even larger wildfires over the past millennium, many of which shared similar seasonality (late August/early September), weather conditions, and even geographic locations. Consistent with the largest historical fires, strong east winds and anomalously dry conditions drove the rapid spread of high‐severity wildfire in 2020. We found minimal difference in burn severity among stand structural types related to previous management in the 2020 fires. Adaptation strategies for similar fires in the future could benefit by focusing on ignition prevention, fire suppression, and community preparedness, as opposed to fuel treatments that are unlikely to mitigate fire severity during extreme weather. While scientific uncertainties remain regarding the nature of infrequent, high‐severity fires in westside forests, particularly under climate change, adapting to their future occurrence will require different strategies than those in interior, dry forests.
    Type of Medium: Online Resource
    ISSN: 2150-8925 , 2150-8925
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2572257-8
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  • 9
    In: Diabetes Care, American Diabetes Association, Vol. 42, No. 2 ( 2019-02-01), p. 192-199
    Abstract: There are variable reports of risk of concordance for progression to islet autoantibodies and type 1 diabetes in identical twins after one twin is diagnosed. We examined development of positive autoantibodies and type 1 diabetes and the effects of genetic factors and common environment on autoantibody positivity in identical twins, nonidentical twins, and full siblings. RESEARCH DESIGN AND METHODS Subjects from the TrialNet Pathway to Prevention Study (N = 48,026) were screened from 2004 to 2015 for islet autoantibodies (GAD antibody [GADA], insulinoma-associated antigen 2 [IA-2A] , and autoantibodies against insulin [IAA]). Of these subjects, 17,226 (157 identical twins, 283 nonidentical twins, and 16,786 full siblings) were followed for autoantibody positivity or type 1 diabetes for a median of 2.1 years. RESULTS At screening, identical twins were more likely to have positive GADA, IA-2A, and IAA than nonidentical twins or full siblings (all P & lt; 0.0001). Younger age, male sex, and genetic factors were significant factors for expression of IA-2A, IAA, one or more positive autoantibodies, and two or more positive autoantibodies (all P ≤ 0.03). Initially autoantibody-positive identical twins had a 69% risk of diabetes by 3 years compared with 1.5% for initially autoantibody-negative identical twins. In nonidentical twins, type 1 diabetes risk by 3 years was 72% for initially multiple autoantibody–positive, 13% for single autoantibody–positive, and 0% for initially autoantibody-negative nonidentical twins. Full siblings had a 3-year type 1 diabetes risk of 47% for multiple autoantibody–positive, 12% for single autoantibody–positive, and 0.5% for initially autoantibody-negative subjects. CONCLUSIONS Risk of type 1 diabetes at 3 years is high for initially multiple and single autoantibody–positive identical twins and multiple autoantibody–positive nonidentical twins. Genetic predisposition, age, and male sex are significant risk factors for development of positive autoantibodies in twins.
    Type of Medium: Online Resource
    ISSN: 0149-5992 , 1935-5548
    Language: English
    Publisher: American Diabetes Association
    Publication Date: 2019
    detail.hit.zdb_id: 1490520-6
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  • 10
    In: Diabetes Care, American Diabetes Association, Vol. 41, No. 9 ( 2018-09-01), p. 1887-1894
    Abstract: We tested the ability of a type 1 diabetes (T1D) genetic risk score (GRS) to predict progression of islet autoimmunity and T1D in at-risk individuals. RESEARCH DESIGN AND METHODS We studied the 1,244 TrialNet Pathway to Prevention study participants (T1D patients’ relatives without diabetes and with one or more positive autoantibodies) who were genotyped with Illumina ImmunoChip (median [range] age at initial autoantibody determination 11.1 years [1.2–51.8], 48% male, 80.5% non-Hispanic white, median follow-up 5.4 years). Of 291 participants with a single positive autoantibody at screening, 157 converted to multiple autoantibody positivity and 55 developed diabetes. Of 953 participants with multiple positive autoantibodies at screening, 419 developed diabetes. We calculated the T1D GRS from 30 T1D-associated single nucleotide polymorphisms. We used multivariable Cox regression models, time-dependent receiver operating characteristic curves, and area under the curve (AUC) measures to evaluate prognostic utility of T1D GRS, age, sex, Diabetes Prevention Trial–Type 1 (DPT-1) Risk Score, positive autoantibody number or type, HLA DR3/DR4-DQ8 status, and race/ethnicity. We used recursive partitioning analyses to identify cut points in continuous variables. RESULTS Higher T1D GRS significantly increased the rate of progression to T1D adjusting for DPT-1 Risk Score, age, number of positive autoantibodies, sex, and ethnicity (hazard ratio [HR] 1.29 for a 0.05 increase, 95% CI 1.06–1.6; P = 0.011). Progression to T1D was best predicted by a combined model with GRS, number of positive autoantibodies, DPT-1 Risk Score, and age (7-year time-integrated AUC = 0.79, 5-year AUC = 0.73). Higher GRS was significantly associated with increased progression rate from single to multiple positive autoantibodies after adjusting for age, autoantibody type, ethnicity, and sex (HR 2.27 for GRS & gt;0.295, 95% CI 1.47–3.51; P = 0.0002). CONCLUSIONS The T1D GRS independently predicts progression to T1D and improves prediction along T1D stages in autoantibody-positive relatives.
    Type of Medium: Online Resource
    ISSN: 0149-5992 , 1935-5548
    Language: English
    Publisher: American Diabetes Association
    Publication Date: 2018
    detail.hit.zdb_id: 1490520-6
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