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Quantifying fluctuations in winter productive cropped area in the Central Indian Highlands

机译:量化中部印第安高地冬季生产作物面积的波动

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The Central Indian Highland landscape (CIHL) represents a complex, diverse, and highly human-modified system. Nearly half the landscape is cropland, yet it hosts 21 protected areas surrounded and connected by forests. Changing farming practices with increasing access to irrigation might alter this intensifying landscape in the near future particularly in light of weather variability. We analyzed a decade of remote sensing data for cropping patterns and climatic factors combined with census data for irrigation and demographic factors to understand winter cropping trajectories in the CIHL. We quantified 'productive cropped area' (PCA), defined as the area with planted crop that is green at the peak of the winter growing season. We find three primary trajectories in PCA-increasing, fluctuating, and decreasing. The most dominant trend is fluctuating PCA in two-thirds of the districts, ranging from similar to 2.11 million to similar to 3.73 million ha between 2001 and 2013, which is associated with village-level access to irrigation and local labor dynamics. In 58 % of all districts, clay soils were associated with winter cropping (p < 0.05). Increasing irrigation is associated with increased winter PCA in most (94 %) districts (p < 0.00001). We find strong negative association between PCA and land surface temperature (LST) in most (66 %) districts (p < 0.01). LST closely corresponds to daytime mean air temperature (p < 0.001) for available meteorological stations. Fine-scale meteorological and socioeconomic data, however, are needed to further disentangle impacts of these factors on PCA in this landscape.
机译:中印第安高地景观(CIHL)代表了一个复杂,多样且高度人为改变的系统。几乎一半的景观是农田,但它拥有21个被森林包围和连接的保护区。改变耕作方式,增加灌溉机会,可能会在不久的将来改变这种加剧的景观,特别是考虑到天气的变化。我们分析了十年来的种植模式和气候因素的遥感数据,结合灌溉和人口因素的普查数据,以了解CIHL的冬季种植轨迹。我们对“生产性种植面积”(PCA)进行了量化,定义为在冬季生长季节的高峰期种植的绿色作物。我们发现PCA的三个主要轨迹分别是增加,波动和减少。最主要的趋势是三分之二地区的PCA波动,从2001年至211万公顷到373万公顷不等,这与村级获得灌溉的机会和当地的劳动力动态有关。在所有地区的58%中,粘土与冬季耕作有关(p <0.05)。在大多数地区(94%),灌溉量的增加与冬季PCA的增加有关(p <0.00001)。在大多数(66%)地区,我们发现PCA与地表温度(LST)之间存在强烈的负相关性(p <0.01)。 LST与可用气象站的日平均气温(p <0.001)紧密对应。但是,需要更精细的气象和社会经济数据,以进一步弄清这些因素对这一领域中PCA的影响。

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