Results 21 to 30 of about 1,241 (135)

Linking eBird data with high spatiotemporal remote sensing products to estimate occupancy of bird populations across the island of Ireland

open access: yesIbis, EarlyView.
The vast increase in biodiversity data generated through citizen science initiatives, alongside a growing suite of remote sensing products and advanced modelling tools, has opened new avenues for rapidly, accurately and efficiently monitoring species trends to inform conservation, management and policy.
Ramiro D. Crego   +7 more
wiley   +1 more source

Predictive evolutionary genomics: principles, validation, and practice

open access: yesNew Phytologist, EarlyView.
Summary Climate change and habitat loss are driving rapid evolutionary responses in populations world‐wide, which creates an urgent need for evolutionary forecasting in conservation and agriculture. Such forecasting can be categorized into three time scales: trait‐based models that use multivariate quantitative genetic equations to project correlated ...
Daniel Ortiz‐Barrientos   +5 more
wiley   +1 more source

MODELO DE PREDICCIÓN DE LA DIGESTIBILIDAD DE PASTURAS HERB�CEAS NATURALES EN LAS ISLAS CANARIAS

open access: yesTropical and Subtropical Agroecosystems, 2009
Knowing the energy content of pastures is necessary in order to estimate the livestock carrying capacity of grasslands. Taking into account the high cost of analyses for determining the digestibility of herbaceous biomass as an estimate of its energy content, this study proposes a model for predicting digestibility values on the basis of the most ...
Luis Alberto Bermejo   +2 more
openaire   +1 more source

Maximum water stress is decoupled from climate, traits, and growth in a xeric oak

open access: yesNew Phytologist, Volume 251, Issue 5, Page 2392-2406, September 2026.
We sampled sites across the geographic distribution of blue oak (Quercus douglasii) in California, USA, which spans a large range of mean annual precipitation. Summary Our ability to explain and predict the spatial patterns of forest mortality remains limited.
Leander D. L. Anderegg   +7 more
wiley   +1 more source

Perceived costs as drivers of wildlife management preferences in rural Tanzanian communities

open access: yesConservation Biology, Volume 40, Issue 4, August 2026.
Abstract Effectively managing human–wildlife interactions is crucial for fostering coexistence on shared landscapes. Management options are most effective when aligned with the preferences of people directly affected by wildlife, yet little is known about how socioecological factors influence these preferences.
Christian Kiffner   +10 more
wiley   +1 more source

Structured machine learning modeling to support conservation of deep‐sea benthic biodiversity

open access: yesConservation Biology, Volume 40, Issue 4, August 2026.
Abstract Biodiversity monitoring programs need to deliver accurate, timely, and actionable predictions. To establish a predictive monitoring program for deep‐sea benthos of the Santos Basin, Brazil, we developed a two‐stage structured model that allowed comparison of biodiversity predictions obtained from environmental simulations (2M‐Sim).
Gustavo Fonseca   +23 more
wiley   +1 more source

PREDICCIÓN DE LA INFLACIÓN EN MÉXICO CON MODELOS DESAGREGADOS POR COMPONENTE

open access: yesEstudios Económicos, 2012
Se realiza un análisis empírico sobre el nivel óptimo de desagregación sectorial y la mejor estrategia de modelización econométrica para la predicción de la inflación en México. Se comparan diferentes estrategias de modelización desagregada basadas en: 1)
Robinson Durán   +3 more
doaj  

Combined phylogenetic and geographic data can predict plant–pest interactions with high accuracy

open access: yesNew Phytologist, Volume 251, Issue 4, Page 2107-2123, August 2026.
Schematic overview of the study pipeline. Summary Non‐native plant pests can pose major threats to biodiversity, with destructive ecological and economic consequences. The ability to predict future threats would allow limited resources to be concentrated on managing the most serious risks. We built a Bayesian model to predict hosts at risk from Agrilus,
Elvira Hernández‐Gutiérrez   +2 more
wiley   +1 more source

High and dry: Environmental conditions drive opportunities for disease transmission in desert bighorn sheep

open access: yesJournal of Applied Ecology, Volume 63, Issue 7, July 2026.
By using probabilistic models to predict contacts as a function of spatially and temporally varying environmental conditions, we show that population‐level conditions at the time of disease introduction can structure opportunities for transmission within each population.
Diana K. Meza   +10 more
wiley   +1 more source

VALIDACIÓN DE MODELOS DE PREDICCIÓN DEL DESARROLLO FLORAL DEL AGUACATE 'HASS' DESARROLLADOS PARA NAYARIT, EN VARIOS CLIMAS DE MICHOACÁN

open access: yesRevista Chapingo Serie Horticultura, 2009
Utilizando registros de temperatura ambiental y desarrollo floral obtenidos de 1998 al 2006 de una zona con clima semicálido subhúmedo del estado de Nayarit, se desarrollaron cinco modelos de predicción del desarrollo floral para brotes de los flujos ...
S. Salazar-García   +2 more
doaj  

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