Megathyrsus maximus PASTORAL系统的地面净初级生产力和雨水利用效率:以阿根廷圣地亚哥莫雷诺省EL 14设施为例

IF 0.4 Q4 ECOLOGY Ecologia Aplicada Pub Date : 2022-06-30 DOI:10.21704/rea.v21i1.1871
J. Tiedemann
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引用次数: 0

摘要

这项工作的目标是:使用NDVIMODIS和阈值0.5 NDVIRATIO的时间序列,确定2000-2021年期间,阿根廷圣地亚哥德尔埃斯特罗莫雷诺省El 14机构的M.maximus牧业系统的生长季节;量化其地上净初级生产力(ANPP)及其对季节性降雨异常的响应;量化雨水利用效率(RUE),将其与季节性降雨联系起来,并确定其在该时期的趋势。生长季节(GS)从11月开始,到5月结束。GS的ANPP与季节性降雨的正异常和负异常存在显著差异。ANPP在出现负降雨异常的GS后恢复,证明了其在极端天气事件后的恢复能力。RUE在这一时期有较高的负趋势。RUE和季节性降雨量存在显著差异。RUE的大部分与研究区域的正常降雨量范围有关。RUE最低的生长季节与降雨量≥700毫米有关。700毫米的季节性降雨量可以被认为是畜牧系统水分损失的阈值。森林砍伐和牲畜等人类活动,加上季节性风暴强度/量级、降雨次数、时间和频率的变化,将导致研究区域地表径流造成大量水的损失。获得的当地信息有助于实施适当的管理策略,以缓解极端气候逆境。
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ABOVE-GROUND NET PRIMARY PRODUCTIVITY AND RAIN USE EFFICIENCY OF Megathyrsus maximus PASTORAL SYSTEMS: CASE STUDY OF EL 14 ESTABLISHMENT, DEPARTAMENTO MORENO, SANTIAGO DEL ESTERO, ARGENTINA
The objectives of this work were: to delimit the growing seasons of the M. maximus pastoral systems in El 14 establishment, Departamento Moreno, Santiago del Estero, Argentina, in the 2000-2021 period using time series of NDVIMODIS and threshold 0.5 NDVIRATIO; to quantify their aboveground net primary productivity (ANPP) and their responses to seasonal rainfall anomalies; to quantify the rain use efficiency (RUE), relate it to seasonal rainfall and determine its trend in the period. Growing seasons (GS) start in November and end in May. Significant differences were found in the ANPP of GS with anomalies positive and negative of seasonal rainfall. ANPP recovers after GS with negative rainfall anomalies, evidencing their resilience capacity after extreme weather events. The RUE had a high negative trend in the period. Significant differences were found in the RUE and seasonal rainfall. Most of RUE are related to the normal range of rainfall for the study area. In turn, growing season with lowest RUE were related to rainfall ≥ 700 mm. Seasonal rainfall of 700 mm could be considered the threshold in the loss of water of pastoral systems. Anthropic activities like deforestation and livestock, added to shifts in seasonal storm in intensity/magnitude, number of rainy, timing and frequency, they would contribute to the loss of large amounts of water by surface runoff in the study area. The local information obtained enables the implementation of appropriate management strategies in order to mitigate extreme climatic adversities.
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