Title
Contrasting Responses of Planted and Natural Forests to Drought Intensity in Yunnan, China.
Abstract
In recent decades, the area and proportion of planted forests have increased; thus, understanding the responses of planted and natural forests to drought are crucial because it forms the basis for forest risk assessments and management strategies. In this study, we combined the moderate-resolution imaging spectroradiometer (MODIS) enhanced vegetation index (EVI), meteorological aridity indices, and standardized precipitation evapotranspiration indices (SPEI) to identify the drought responses of planted and natural forests. In particular, we used the EVI standard anomaly (ESA) as a physiological drought indicator and analyzed the applicability of SPEIs at time scales of 1-30 months, thereby determining the optimal time scale for the SPEI (SPEIopt), i.e., the SPEI that best represents the drought responses of forests in Yunnan. Next, we employed the optimal SPEI and the ESA as indices to statistically analyze the response characteristics of planted and natural forests under different drought intensities. The results indicated the following: (1) The SPEI in June and a time scale of five months (i.e., SPEIJun, 5) comprise the optimal meteorological aridity indicator for forests in Yunnan Province, which had the strongest correlation with the EVI standard anomaly (ESA(Jun)). (2) All forest types were affected by drought in Yunnan, but their responses varied according to the forest type, elevation, and drought intensity. In general, natural forests are more vulnerable and sensitive to drought than planted forests, especially natural coniferous forests at low (0-2000 m) and moderate (2000-4000 m) altitudes, and natural mixed forest at low altitudes (0-2000 m). (3) The remote sensing-based ESA (ESA(Jun)) is sensitive to the intensity of water stress, which makes it a good indicator for drought monitoring. In addition, the forests' inventory survey revealed that 8.05% of forests were affected by drought; thus, we used this as a guide to estimate an approximate threshold to map forest responses to drought across the region. Below this approximate threshold (i.e., ESA(Jun) < -3.85), severe drought-induced effects on forests may occur. Given that natural forests are more vulnerable and sensitive to drought than the planted forests, natural forests need more careful management, especially in the context of projected increases in extreme drought events in the future.
Year
DOI
Venue
2016
10.3390/rs8080635
REMOTE SENSING
Keywords
Field
DocType
drought,natural forest,planted forest,EVI,SPEI,Yunnan
Arid,Hydrology,China,Remote sensing,Water stress,Altitude,Forestry,Enhanced vegetation index,Elevation,Geology,Evapotranspiration,Precipitation
Journal
Volume
Issue
ISSN
8
8
2072-4292
Citations 
PageRank 
References 
0
0.34
0
Authors
7
Name
Order
Citations
PageRank
hui luo1184.51
Tao Zhou201.69
Hao Wu300.34
Xiang Zhao4419.19
Qianfeng Wang5132.78
Shan Gao6136.31
Zheng Li754266.91