A Method for Improving Landscape Scale Temperature Predictions and the Implications for Vegetation Modelling

Ecological Modelling - Netherlands
doi 10.1016/j.ecolmodel.2006.03.014
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Elsevier BV

Related search

A Statistical Method for Improving Continental Shelf and Nearshore Marine Climate Predictions

Journal of Atmospheric and Oceanic Technology
Ocean EngineeringAtmospheric Science
2014English

Contemporary Fire Regimes in a Fragmented and an Unfragmented Landscape: Implications for Vegetation Structure and Persistence of the Fire-Sensitive Malleefowl

International Journal of Wildland Fire
ForestryEcology
2011English

Setting the Scale for Predictions of Asymptotic Freedom

Physical Review D
1974English

Reforecasts: An Important Dataset for Improving Weather Predictions

Bulletin of the American Meteorological Society
Atmospheric Science
2006English

Landscape Identity: Implications for Policy Making

Land Use Policy
DevelopmentManagementMonitoringNatureForestryLandscape ConservationPlanningPolicyLawGeography
2016English

The 2019 Flooding of Venice and Its Implications for Future Predictions

Oceanography
Oceanography
2020English

Landscape Ecology and Rural Roads: Traffic Calming for Improving Both Landscape and Wildlife?

Ekologia Bratislava
Ecology
2013English

Weak Lensing of CMB Temperature and Polarization Patterns: Implications for Large-Scale Structure

2007English

Scale and Spatial Structure Effects on Tree Size Distributions: Implications for Growth and Yield Modelling

Canadian Journal of Forest Research
ForestryPlanetary ChangeGlobalEcology
2006English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy