globalchange  > 气候减缓与适应
DOI: 10.1016/j.agrformet.2019.01.007
WOS记录号: WOS:000460844700002
论文题名:
Remotely sensed agricultural grassland productivity responses to land use and hydro-climatic drivers under extreme drought and rainfall
作者: Kath, Jarrod1; Le Brocque, Andrew F.2,3; Reardon-Smith, Kathryn1; Apan, Armando1,2
通讯作者: Kath, Jarrod
刊名: AGRICULTURAL AND FOREST METEOROLOGY
ISSN: 0168-1923
EISSN: 1873-2240
出版年: 2019
卷: 268, 页码:11-22
语种: 英语
英文关键词: Extreme weather ; Millennium drought ; Resilience ; Pasture ; Remote sensing
WOS关键词: SOIL-MOISTURE ; RESILIENCE ; RESISTANCE ; TRENDS ; TEMPERATURE ; VARIABILITY ; PRECIPITATION ; VULNERABILITY ; PERSPECTIVE ; PERFORMANCE
WOS学科分类: Agronomy ; Forestry ; Meteorology & Atmospheric Sciences
WOS研究方向: Agriculture ; Forestry ; Meteorology & Atmospheric Sciences
英文摘要:

Climate change is expected to increase the frequency and intensity of drought globally with potentially significant consequences for grasslands. We examined grassland responses to a long-term drought on the Darling Downs, eastern Australia, using the Enhanced Vegetation Index (EVI), a remotely sensed measure of primary productivity. This extreme drought period had rainfall deficits comparable to the hottest and driest projected climate change scenarios for 2030 and was followed by extreme rainfall. This juxtaposition allowed investigation of grassland dynamics (decline and recovery) under extreme climatic variability. Our aim was to determine whether factors associated with grassland decline during extreme drought are the same as those that drive recovery post drought. There is limited knowledge about whether the determinants of grassland decline and recovery are consistent, but this information is important for understanding how best to reduce grassland decline, without inhibiting recovery. We calculated EVI (Enhanced Vegetation Index) trends at 2549 grassland sites situated in an agricultural landscape and used boosted regression trees to model these against multiple hydro-climatic and land use factors. As anticipated, hydro-climatic variables were key drivers of EVI trends in both the drought and wet phases, with higher soil moisture corresponding to less decline in the drought phase and enhanced recovery in the wet phase; however, land use and plant trait variables were also important predictors of EVI trends. Higher proportions of dryland agriculture in the local landscape, high C3:C4 ratios and lower proportions of woody vegetation in the local landscape were associated with negative EVI trends (i.e. greater decline) during drought, but had inverse or negligible effects during the post drought recovery phase. Our results suggest that mitigating decline and fostering grassland recovery following drought requires considering multiple hydro-climatic, land use and plant trait drivers and how their importance changes under drought and wet phases.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/125000
Appears in Collections:气候减缓与适应

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作者单位: 1.Univ Southern Queensland, Ctr Appl Climate Sci, Toowoomba, Qld 4350, Australia
2.Univ Southern Queensland, Fac Hlth Engn & Sci, Toowoomba, Qld 4350, Australia
3.Univ Southern Queensland, Ctr Sustainable Agr Syst, Toowoomba, Qld 4350, Australia

Recommended Citation:
Kath, Jarrod,Le Brocque, Andrew F.,Reardon-Smith, Kathryn,et al. Remotely sensed agricultural grassland productivity responses to land use and hydro-climatic drivers under extreme drought and rainfall[J]. AGRICULTURAL AND FOREST METEOROLOGY,2019-01-01,268:11-22
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