Climate-induced shifts and lengthening of growing seasons across Pakistan’s major vegetation types

IF 3 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Muhammad Shah Hanan, Sawaid Abbas
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引用次数: 0

Abstract

Pakistan’s diverse ecology, ranging from arid to semi-arid zones and mountainous regions, makes vegetation phenology highly sensitive to climate variability. However, a long-term assessment of phenological shifts across its major ecological zones remains limited at national-scale. This study provides the first consistent nationwide analysis of changes in vegetation phenology metrics from 2001 to 2023, including the start of season (SOS), length of season (LOS), and end of season (EOS). The assessment focused on natural and semi-natural vegetation classes, excluding croplands, to understand climate-driven phenological responses. The MODIS phenology product was used to extract phenological indicators, while vegetation land cover types were derived from the MODIS land cover type product. The impact of climate variability on phenology was assessed using temperature and solar radiation data from the ECMWF ERA5 (European Centre for Medium-Range Weather Forecasts Reanalysis 5) and precipitation data from CHIRPS (Climate Hazards Group InfraRed Precipitation with Station data). Temporal trends in phenological events and climatic variables were analyzed at seasonal and annual scales, with correlations assessed between each climatic driver and phenological parameters. Results indicated variation in SOS (May to August) and EOS (November to March), reflecting phenological differences across different vegetation types across the biomes. A significant trend of delayed SOS (0.10 days/year) and EOS (0.40 days/year) was observed. SOS onset for grassland and savannas were negatively correlated with temperature (−0.424 and −0.422), and consistently indicated negative association with solar radiation across all vegetation types, suggesting an earlier SOS with warmer temperature and bright sunny conditions. Among the divergent vegetation classes (mixed forests, open and close shrublands, and savannas and woody savannas), within-season precipitation showed positive correlations with EOS and LOS (r = 0.455–0.727), indicating moisture-constrained growing season length. Soil moisture exhibited stronger associations with EOS and LOS, particularly in mixed forests (EOS r = − 0.557, LOS: r = −0.71) with higher significance than with SOS, suggesting a greater role in regulating senescence and growing season duration than green-up onset. These asymmetric phenological responses to different climate controls suggest the complex influence of climatic conditions at different stages of vegetation growth, varying across vegetation types and landscapes. The reliance on the MODIS phenology product may introduce uncertainties, suggesting further validation and independent phenology observation across the landscape.

Abstract Image

巴基斯坦主要植被类型的气候变化和生长季节延长
巴基斯坦多样的生态,从干旱到半干旱地区和山区,使得植被物候对气候变化高度敏感。然而,对其主要生态区物候变化的长期评估在全国范围内仍然有限。本研究首次在全国范围内对2001 - 2023年植被物候指标的变化进行了一致的分析,包括季节开始(SOS)、季节长度(LOS)和季节结束(EOS)。评估侧重于自然和半自然植被类别,不包括农田,以了解气候驱动的物候响应。利用MODIS物候产品提取物候指标,利用MODIS土地覆盖类型产品提取植被土地覆盖类型。利用ECMWF ERA5(欧洲中期天气预报再分析中心5)的温度和太阳辐射数据和CHIRPS(气候危害组红外降水与站数据)的降水数据评估了气候变率对物候的影响。在季节和年尺度上分析了物候事件和气候变量的时间趋势,并评估了每种气候驱动因素与物候参数之间的相关性。结果表明,5 ~ 8月的SOS和11 ~ 3月的EOS存在差异,反映了不同植被类型在不同生物群系间的物候差异。延迟SOS (0.10 d /年)和延迟EOS (0.40 d /年)呈显著趋势。草原和稀树草原的SOS发生与温度呈负相关(分别为- 0.424和- 0.422),与所有植被类型的太阳辐射均呈负相关,表明在温度较高和阳光充足的条件下,SOS发生时间较早。在不同植被类型(混交林、灌丛和疏林、稀树草原和木本稀树草原)中,季内降水与EOS和LOS呈显著正相关(r = 0.455 ~ 0.727),表明生长季节长度受水分约束。土壤湿度与植被的生长期和生长期的相关性较强,特别是混交林(植被的生长期r = - 0.557,植被的生长期r = - 0.71)显著高于植被的生长期,表明土壤湿度对植被衰老和生长期的调节作用大于绿期。这些对不同气候控制的不对称物候响应表明,在植被生长的不同阶段,气候条件的影响是复杂的,因植被类型和景观而异。对MODIS物候产品的依赖可能带来不确定性,建议进一步验证和在整个景观中进行独立的物候观测。
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来源期刊
Environmental Monitoring and Assessment
Environmental Monitoring and Assessment 环境科学-环境科学
CiteScore
4.70
自引率
6.70%
发文量
1000
审稿时长
7.3 months
期刊介绍: Environmental Monitoring and Assessment emphasizes technical developments and data arising from environmental monitoring and assessment, the use of scientific principles in the design of monitoring systems at the local, regional and global scales, and the use of monitoring data in assessing the consequences of natural resource management actions and pollution risks to man and the environment.
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