A combination of climate, tree diversity and local human disturbance determine the stability of dry Afromontane forests

被引:10
作者
Hishe, Hadgu [1 ,2 ]
Oosterlynck, Louis [1 ]
Giday, Kidane [2 ]
De Keersmaecker, Wanda [1 ,3 ]
Somers, Ben [1 ]
Muys, Bart [1 ]
机构
[1] Katholieke Univ Leuven, Dept Earth & Environm Sci, Div Forest Nat & Landscape, Celestijnenlaan 200E,POB 2411, B-3001 Leuven, Belgium
[2] Mekelle Univ, Dept Land Resource Management & Environm Protect, Coll Dryland Agr & Nat Resources, POB 231, Mekelle, Tigray, Ethiopia
[3] Wageningen Univ, Lab Geoinformat Sci & Remote Sensing, NL-6708 PB Wageningen, Netherlands
关键词
Climate; Dryland; Disturbance; Restoration; Tigray; Growth stability; Biodiversity function; TIME-SERIES; ECOSYSTEM STABILITY; TEMPORAL STABILITY; PRODUCTIVITY; RESILIENCE; BIODIVERSITY; VARIABILITY; VEGETATION; DROUGHT; NDVI;
D O I
10.1186/s40663-021-00288-x
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
Background Anthropogenic disturbances are increasingly affecting the vitality of tropical dry forests. The future condition of this important biome will depend on its capability to resist and recover from these disturbances. So far, the temporal stability of dryland forests is rarely studied, even though identifying the important factors associated with the stability of the dryland forests could serve as a basis for forest management and restoration. Methodology In a degraded dry Afromontane forest in northern Ethiopia, we explored remote sensing derived indicators of forest stability, using MODIS satellite derived NDVI time series from 2001 to 2018. Resilience and resistance were measured using the anomalies (remainders) after time series decomposition into seasonality, trend and remainder components. Growth stability was calculated using the integral of the undecomposed NDVI data. These NDVI derived stability indicators were then related to environmental factors of climate, topography, soil, tree species diversity, and local human disturbance, obtained from a systematic grid of field inventory plots, using boosted regression trees in R. Results Resilience and resistance were adequately predicted by these factors with an R-2 of 0.67 and 0.48, respectively, but the model for growth stability was weaker. Precipitation of the wettest month, distance from settlements and slope were the most important factors associated with resilience, explaining 51% of the effect. Altitude, temperature seasonality and humus accumulation were the significant factors associated with the resistance of the forest, explaining 61% of the overall effect. A positive effect of tree diversity on resilience was also important, except that the impact of species evenness declined above a threshold value of 0.70, indicating that perfect evenness reduced the resilience of the forest. Precipitation of the wettest month was the most important factor explaining 43.52% of the growth stability variation. Conclusion A combination of climate, topographic factors and local human disturbance controlled the stability of the dry forest. Also tree diversity is an important stability component that should be considered in the management and restoration programs of such degraded forests. If local disturbances are alleviated the recovery time of dryland forests could be shortened, which is vital to maintain the ecosystem services these forests provide to local communities and global climate change.
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页数:16
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