Rodrigo Vargas
@vargaslab.bsky.social
University Professor, Ecosystem ecologist, carbon cycle science, VargasLab
The result: more realistic sample sets that respect your system’s dependency patterns — great for environmental modelling, simulation, and uncertainty analysis.
📄 Method details:
doi.org/10.1016/j.ca...
📄 Method details:
doi.org/10.1016/j.ca...
November 12, 2025 at 2:13 AM
The result: more realistic sample sets that respect your system’s dependency patterns — great for environmental modelling, simulation, and uncertainty analysis.
📄 Method details:
doi.org/10.1016/j.ca...
📄 Method details:
doi.org/10.1016/j.ca...
Traditional LHS ensures stratified coverage of each variable’s range, but samples are independent — losing spatial/temporal structure.
acLHS preserves those autocorrelations while keeping the stratified, space-filling design you want.
acLHS preserves those autocorrelations while keeping the stratified, space-filling design you want.
November 12, 2025 at 2:13 AM
Traditional LHS ensures stratified coverage of each variable’s range, but samples are independent — losing spatial/temporal structure.
acLHS preserves those autocorrelations while keeping the stratified, space-filling design you want.
acLHS preserves those autocorrelations while keeping the stratified, space-filling design you want.
🔗 Más información sobre el Programa Mexicano del Carbono, sus líneas de investigación y convocatorias, disponible en:
👉 pmcarbono.org/pmc
4/4
👉 pmcarbono.org/pmc
4/4
Programa Mexicano del Carbono
pmcarbono.org
October 23, 2025 at 12:37 AM
🔗 Más información sobre el Programa Mexicano del Carbono, sus líneas de investigación y convocatorias, disponible en:
👉 pmcarbono.org/pmc
4/4
👉 pmcarbono.org/pmc
4/4
📖 En esta edición, también se rindió homenaje al Dr. Fernando Paz Pellat, figura clave en la creación y consolidación del PMC, y promotor incansable de la ciencia del carbono en México.
#FernandoPaz #InvestigaciónAmbiental
3/4
#FernandoPaz #InvestigaciónAmbiental
3/4
October 23, 2025 at 12:37 AM
📖 En esta edición, también se rindió homenaje al Dr. Fernando Paz Pellat, figura clave en la creación y consolidación del PMC, y promotor incansable de la ciencia del carbono en México.
#FernandoPaz #InvestigaciónAmbiental
3/4
#FernandoPaz #InvestigaciónAmbiental
3/4
💡 Este simposio es un espacio de encuentro anual para la comunidad científica nacional e internacional dedicada al estudio del ciclo del carbono, los ecosistemas y el cambio climático en México.
#CambioClimático #CienciaDelCarbono
2/4
#CambioClimático #CienciaDelCarbono
2/4
October 23, 2025 at 12:37 AM
💡 Este simposio es un espacio de encuentro anual para la comunidad científica nacional e internacional dedicada al estudio del ciclo del carbono, los ecosistemas y el cambio climático en México.
#CambioClimático #CienciaDelCarbono
2/4
#CambioClimático #CienciaDelCarbono
2/4
💡 Why it matters:
Long-term data are irreplaceable for understanding ecosystem resilience, variability, and responses to climate change. Sustained support for long-term ecological research is vital to guide adaptive management and policy decisions.
#DataDriven #SciencePolicy
5/5
Long-term data are irreplaceable for understanding ecosystem resilience, variability, and responses to climate change. Sustained support for long-term ecological research is vital to guide adaptive management and policy decisions.
#DataDriven #SciencePolicy
5/5
October 15, 2025 at 6:06 PM
💡 Why it matters:
Long-term data are irreplaceable for understanding ecosystem resilience, variability, and responses to climate change. Sustained support for long-term ecological research is vital to guide adaptive management and policy decisions.
#DataDriven #SciencePolicy
5/5
Long-term data are irreplaceable for understanding ecosystem resilience, variability, and responses to climate change. Sustained support for long-term ecological research is vital to guide adaptive management and policy decisions.
#DataDriven #SciencePolicy
5/5
📈 What we found:
Even after two decades of measurements, predictions of ecosystem behavior remained highly variable and nonlinear. Short-term datasets often miss emergent and unexpected dynamics that only become evident with long-term observation.
#LTER #Sustainability #EcologicalMonitoring
4/5
Even after two decades of measurements, predictions of ecosystem behavior remained highly variable and nonlinear. Short-term datasets often miss emergent and unexpected dynamics that only become evident with long-term observation.
#LTER #Sustainability #EcologicalMonitoring
4/5
October 15, 2025 at 6:06 PM
📈 What we found:
Even after two decades of measurements, predictions of ecosystem behavior remained highly variable and nonlinear. Short-term datasets often miss emergent and unexpected dynamics that only become evident with long-term observation.
#LTER #Sustainability #EcologicalMonitoring
4/5
Even after two decades of measurements, predictions of ecosystem behavior remained highly variable and nonlinear. Short-term datasets often miss emergent and unexpected dynamics that only become evident with long-term observation.
#LTER #Sustainability #EcologicalMonitoring
4/5
🔍 What we did:
We analyzed more than 20 years of aboveground net primary production (ANPP) and precipitation data across three dryland ecosystems, spanning a grassland-to-shrubland transition in central New Mexico. We quantified how model predictive capacity evolves as more data accumulate.
3/5
We analyzed more than 20 years of aboveground net primary production (ANPP) and precipitation data across three dryland ecosystems, spanning a grassland-to-shrubland transition in central New Mexico. We quantified how model predictive capacity evolves as more data accumulate.
3/5
October 15, 2025 at 6:06 PM
🔍 What we did:
We analyzed more than 20 years of aboveground net primary production (ANPP) and precipitation data across three dryland ecosystems, spanning a grassland-to-shrubland transition in central New Mexico. We quantified how model predictive capacity evolves as more data accumulate.
3/5
We analyzed more than 20 years of aboveground net primary production (ANPP) and precipitation data across three dryland ecosystems, spanning a grassland-to-shrubland transition in central New Mexico. We quantified how model predictive capacity evolves as more data accumulate.
3/5
➡️ Long-term data are essential to guide policies on land management, conservation, and climate adaptation. Stable funding streams are crucial to keep these efforts alive.
#FundingScience #Ecology #ScienceMatters
2/5
#FundingScience #Ecology #ScienceMatters
2/5
October 15, 2025 at 6:06 PM
➡️ Long-term data are essential to guide policies on land management, conservation, and climate adaptation. Stable funding streams are crucial to keep these efforts alive.
#FundingScience #Ecology #ScienceMatters
2/5
#FundingScience #Ecology #ScienceMatters
2/5
BERAC, along with all other Office of Science advisory committees, will be replaced by the newly established Office of Science Advisory Committee (SCAC). This unified advisory committee will support the entire Office of Science.
www.energy.gov/science/arti...
2/2
www.energy.gov/science/arti...
2/2
DOE Establishes the Office of Science Advisory Committee
The Department of Energy (DOE) today announced the establishment of the Office of Science Advisory Committee (SCAC).
www.energy.gov
October 14, 2025 at 9:21 PM
BERAC, along with all other Office of Science advisory committees, will be replaced by the newly established Office of Science Advisory Committee (SCAC). This unified advisory committee will support the entire Office of Science.
www.energy.gov/science/arti...
2/2
www.energy.gov/science/arti...
2/2
🌱 What we found:
- Soil respiration temperature thresholds vary across vegetation types and climates.
- Soil moisture strongly interacts with temperature responses.
- A single “universal” temperature response is not enough for accurate carbon-cycle models.
#soilrespiration #drylands
- Soil respiration temperature thresholds vary across vegetation types and climates.
- Soil moisture strongly interacts with temperature responses.
- A single “universal” temperature response is not enough for accurate carbon-cycle models.
#soilrespiration #drylands
October 8, 2025 at 12:57 PM
🌱 What we found:
- Soil respiration temperature thresholds vary across vegetation types and climates.
- Soil moisture strongly interacts with temperature responses.
- A single “universal” temperature response is not enough for accurate carbon-cycle models.
#soilrespiration #drylands
- Soil respiration temperature thresholds vary across vegetation types and climates.
- Soil moisture strongly interacts with temperature responses.
- A single “universal” temperature response is not enough for accurate carbon-cycle models.
#soilrespiration #drylands