📄 Method details:
doi.org/10.1016/j.ca...
📄 Method details:
doi.org/10.1016/j.ca...
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.
👉 pmcarbono.org/pmc
4/4
👉 pmcarbono.org/pmc
4/4
#FernandoPaz #InvestigaciónAmbiental
3/4
#FernandoPaz #InvestigaciónAmbiental
3/4
#CambioClimático #CienciaDelCarbono
2/4
#CambioClimático #CienciaDelCarbono
2/4
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
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
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
#FundingScience #Ecology #ScienceMatters
2/5
#FundingScience #Ecology #ScienceMatters
2/5
www.energy.gov/science/arti...
2/2
www.energy.gov/science/arti...
2/2
- 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