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New physiological thresholds improve soil desiccation prediction rationality in apple orchards converted from farmland on the Chinese Loess Plateau

Bibliographic Data

ID21648383
AuthorsFuxing Guo (0000-0003-0046-7367, College of Natural Resources and Environment Northwest A&F University Yangling PR China), Haowei Sun (0000-0002-7823-5972, College of Natural Resources and Environment Northwest A&F University Yangling PR China), Linsen Zhang (0000-0002-3488-4911, College of Horticulture Northwest A&F University Yangling PR China), Yan Mu (0000-0002-2305-9684, College of Landscape Architecture and Arts Northwest A&F University Yangling PR China), Yanping Wang (0000-0002-2463-0555, College of Natural Resources and Environment Northwest A&F University Yangling PR China, corresponding author), Fuyong Wu (0000-0002-9566-0698, College of Natural Resources and Environment Northwest A&F University Yangling PR China, corresponding author)
Year2022
Volume33
Issue18
Pages3801-3816
Publication date2022-12-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueLand Degradation and Development (JOURNAL)
Journal identifiersISSN: 1085-3278 • E-ISSN: 1099-145X
PublisherWiley (PUBLISHER • GB)
DOI10.1002/ldr.4424
OpenAlexW4286686341
LanguageEN
References cited78

The dry soil layer (DSL), as a typical indicator for degradation in soil water supply capacity and soil drought, could provide important information for land use and reconstruction in semiarid and arid areas. However, the traditional index of DSL assessment neglected the water absorption characteristics and drought resistance of different crops and lacked uniformity and comparability. These may misjudge the occurrence and severity of the DSL and bring uncertainty to land development and vegetation selection. In this study, the DSL severity of the main production zone of apples in the Chinese Loess Plateau was reassessed using new plant physiological indices covering the next 60 years (2020–2080) under four general circulation models. Physiological indices were established based on the response of leaf net photosynthetic ( T PN ) and transpiration rate ( T TR ) to soil available water which is the difference between soil moisture and permanent wilting point ( n = 113). The environment policy integrated climate (EPIC) model was used to predict future soil water dynamics and drought yield loss (YL). The results showed that T PN and T TR significantly slowed down the accumulation of DSL severity quantitative index (QI, based on thickness moisture and formation depth of DSL) and enhanced the correlation between DSL and YL, which correlation coefficient increased from 0.51 to 0.73 and 0.64. Forming serious DSL (QI >0.5) has slowed from 2040 to 2055 years. Moreover, future climate change accumulatively reduced 9.95%–14.18% of the YL. These results indicated that the traditional method overestimated the environmental contradiction between economic benefits and eco‐hydrology of apple orchards, which could send unreliable messages to policymakers to restrict further development of apple industries. This study emphasized that evaluating DSL based on plant physiological threshold reflected better soil desiccation level and YL, which will contribute to further study of the sustainable development of fragile ecosystems

Climate change · Geography · Loess · Loess plateau · Normalized Difference Vegetation Index · Photosynthesis · Physical geography · Soil water · Transpiration · Water content · Environmental Science · Irrigation Practices and Water Management · Plant Water Relations and Carbon Dynamics · Tree-ring climate responses · Ecology · Geology · Soil Science

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