Tree rings, carbon isotopes and wood chemistry reveal centuries of pollarding history in an ancient oak-holly woodland
Bibliographic Data
| ID | 23312481 |
|---|---|
| Authors | J Julio Camarero (0000-0003-2436-2922), Álvaro Rubio-Cuadrado (0000-0001-5299-6063), Cristina Valeriano (0000-0001-7687-1417), Ángel Fernández‐Cortés (0000-0002-8482-3308), Pedro Sanchez (0000-0002-4582-7760) |
| Year | 2026 |
| Volume | 27 |
| Pages | 101424 |
| Publication date | 2026-09-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Trees Forests and People (JOURNAL) |
| Journal identifiers | ISSN: 2666-7193 • E-ISSN: 2666-7193 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.tfp.2026.101424 |
| OpenAlex | W7170080570 |
| Language | EN |
| References cited | 43 |
Carbon fibers · Isotope · Isotopes of carbon · Stable isotope ratio · Tree (set theory) · Woodland · Forest Ecology and Biodiversity Studies · Tree-ring climate responses · Wood Treatment and Properties
Econometric Computing with HC and HAC Covariance Matrix Estimators
Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset
Testing for Autocorrelation in Dynamic Linear Models
TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958–2015
Anthropogenic land use estimates for the Holocene – Hyde 3.2
Carbon Isotope Discrimination and Photosynthesis
Testing for unit roots in autoregressive-moving average models of unknown order
Testing Against General Autoregressive and Moving Average Error Models when the Regressors Include Lagged Dependent Variables
The prehistoric and preindustrial deforestation of Europe
A Multiscalar Drought Index Sensitive to Global Warming
A Simple, Positive Semi-Definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix
Testing the null hypothesis of stationarity against the alternative of a unit root
Investigating Causal Relations by Econometric Models and Cross-spectral Methods
| Citation velocity | historical |
|---|---|
| Highly cited | No |