Resilient but declining: drought induced dieback of Aleppo pine stands in western Algeria
Abdelhak Bouknine , Mohamed Sarmoum , Cristina Valeriano , Mohamed Ait Hammou , Fatima Mokhfi , Hakim Tefiel , J. Julio Camarero
Journal of Forestry Research ›› 2026, Vol. 37 ›› Issue (1) : 32
Resilient but declining: drought induced dieback of Aleppo pine stands in western Algeria
Drought affects forest productivity and tree radial growth in multiple ways. Two major impacts are growth decline and loss of resilience, i.e., the capacity to recover normal growth rates after a drought, which may indicate impending death. Growth decline and dieback processes have been reported for Mediterranean conifers, but information for natural and planted stands under semi-arid conditions is still scarce, particularly across the increasingly arid Maghreb. We addressed this by assessing growth rates, variability and resilience indices in Algerian Aleppo pine (Pinus halepensis Mill.) stands under Mediterranean sub-humid to semi-arid conditions. Several climate variables and teleconnection patterns (NAO, North Atlantic Oscillation; WeMO, Western Mediterranean Oscillation) were investigated to determine the main drivers of growth decline. Growth resilience indices were calculated at site and tree levels and related to growth trends. Mean basal area increment (BAI) during 2000–2023 was 16.6 cm2 a−1. Negative BAI trends occurred for all sites since 2013, as aridification intensified. All stands showed growth decreases during dry years regardless of site conditions or growth rates. Growth was constrained by cold January conditions, dry conditions from the previous winter to summer, and elevated temperatures from late spring to late summer. Long (12-month) droughts peaking in summer suppressed growth, which was also inversely associated with NAO June indices. Growth decline responded to recovery and resistance indices during the 2012 and 2017 droughts. The results show that long-term aridification triggers growth decline despite short-term, post-drought recovery.
Dendroecology / Drought stress / Forest dieback / Growth resilience / Pinus halepensis
| [1] |
|
| [2] |
|
| [3] |
Benalia S (2009) The green barrier in Algeria: actual situation and development prospect. In: Technology and management to ensure sustainable agriculture, agro-systems, forestry and safety, XXXIII CIOSTA–CIGR V conference 2009, Reggio Calabria (Italy) and IUFRO (Unit 3.06.00) Workshop, pp 2163–2166 |
| [4] |
|
| [5] |
|
| [6] |
|
| [7] |
Bunn A, Korpela M, Biondi F, Campelo F, Klesse S, Mérian P, Qeadan F, Zang C (2024) dplR: dendrochronology program library in R. R package version 1.7.8, https://CRAN.R-project.org/package=dplR |
| [8] |
|
| [9] |
|
| [10] |
|
| [11] |
|
| [12] |
|
| [13] |
|
| [14] |
Camarero JJ (2011) Direct and indirect effects of the north Atlantic oscillation on tree growth and forest decline in northeastern Spain. In: Hydrological, socioeconomic and ecological impacts of the north Atlantic oscillation in the Mediterranean Region. Springer Netherlands, pp 129–152. https://doi.org/10.1007/978-94-007-1372-7_10 |
| [15] |
|
| [16] |
|
| [17] |
|
| [18] |
|
| [19] |
|
| [20] |
|
| [21] |
Eichhorn J, Roskams P, Potočić N, Timmermann V, Ferretti M (2016) Part IV: visual assessment of crown condition and damaging agents. Manual on methods and criteria for harmonized sampling, assessment, monitoring and analysis of the effects of air pollution on forests. Thünen institute of forest ecosystems, Eberswalde, Germany |
| [22] |
|
| [23] |
|
| [24] |
|
| [25] |
|
| [26] |
|
| [27] |
|
| [28] |
|
| [29] |
|
| [30] |
|
| [31] |
|
| [32] |
|
| [33] |
|
| [34] |
Holmes RL (1983) Computer-assisted quality control in tree-ring dating and measurement. In: Tree ring bull |
| [35] |
|
| [36] |
JMP (2025) JMP statistical discovery LLC, Cary, NC, USA |
| [37] |
|
| [38] |
|
| [39] |
Lee JY, Marotzke J, Bala G, Cao L, Corti S, Dunne JP, Engelbrecht F, Fischer E, Fyfe JC, Jones C, Maycock A, Mutemi J, Ndiaye O, Panickal S, Zhou TJ (2021) Future global climate: Scenario-based projections and near term information. In climate change 2021: the Physical science basis. contribution of working group I to the sixth assessment report of the intergovernmental panel on climate change [Masson-Delmotte V, Zhai P, Pirani A, Connors SL, Péan C, Berger S, Caud N, Chen Y, Goldfarb L, Gomis MI, Huang M, Leitzell K, Lonnoy E, Matthews JBR, Maycock TK, Waterfield T, Yelekçi O, Yu R, Zhou B. (eds.)]. Cambridge Univ. Press, Cambridge, UK and New York, USA, pp. 553–672. https://doi.org/10.1017/9781009157896.006 |
| [40] |
|
| [41] |
|
| [42] |
|
| [43] |
|
| [44] |
|
| [45] |
|
| [46] |
|
| [47] |
Mauri A, Di Leo M, de Rigo D, Caudullo G (2016) Pinus halepensis and Pinus brutia in Europe: distribution, habitat, usage and threats. In: San-Miguel-Ayanz J, de Rigo D, Caudullo G, Houston Durrant T, Mauri A (Eds.), European Atlas of Forest Tree Species. Publ. Off. EU, Luxembourg, pp e0166b8 |
| [48] |
|
| [49] |
|
| [50] |
|
| [51] |
|
| [52] |
Oksanen FJ, Simpson G, Blanchet FG, Kindt R, Legendre P, Stevens H, Wagner H (2023) vegan: community ecology package. R package version 2.6–5. https://github.com/vegandevs/vegan |
| [53] |
|
| [54] |
|
| [55] |
|
| [56] |
|
| [57] |
R Core Team (2024) R: a language and environment for statistical computing. R foundation, Vienna, Austria. https://www.R-project.org/ |
| [58] |
|
| [59] |
|
| [60] |
|
| [61] |
|
| [62] |
|
| [63] |
|
| [64] |
|
| [65] |
|
| [66] |
|
| [67] |
|
| [68] |
|
| [69] |
|
| [70] |
|
| [71] |
|
| [72] |
|
| [73] |
|
| [74] |
|
| [75] |
|
| [76] |
|
| [77] |
|
| [78] |
|
| [79] |
|
The Author(s)
/
| 〈 |
|
〉 |