巴西东北部生物群落环境退化评价

Bárbara Alves Batista, Washington Luiz Félix Correia Filho, Carla Taciane Brasil dos Santos, J. F. O. Oliveira Júnior, Dimas de Barros Santiago
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摘要

近年来,由于降雨不规律,全球一些地区遭受了某种形式的环境退化。根据强度的不同,它们可能导致一系列区域性和全国性的社会经济问题。当今最具代表性的退化类型之一是沙漠化发展过程,它是由人为、气候和/或环境因素综合造成的。为了了解这些影响的行为,本工作基于干旱指数(AI)评估了巴西东北部(Caatinga、大西洋森林、亚马逊和塞拉多)生物群落的退化过程。人工智能包括蒸散发(在本例中使用Thornthwaite估算方法)与降水之间的关系。所使用的数据对应于1979 - 2013年高分辨率地球地表气候产品(CHELSA),其空间分辨率为1km x 1km,时间分辨率为月尺度。此外,还发现在El Niño-Southern涛动(ENSO)暖相发生的年份,El Niños的AI行为。El Niño事件的识别基于海洋Niño指数(ONI)气候代理,以赤道太平洋地区为Niño 3.4区域为特征,选取1983年、1993年、1998年和2012年。AI结果指出,主要在塞拉多东北部南部和卡廷加地区的生物群落之间存在不同的行为,这是由各自地区降雨的强变异性引起的。其中,卡廷加地区最为突出,大部分地区在2012年被划分为干旱(AI在0.05 ~ 0.20之间)和极度干旱(AI < 0.05)。另一方面,亚马逊和生物群落。大西洋森林被划分为半干旱(AI < 0.5)。El Niño的AI值降低,其原因是长期干旱和不规则降雨对东北半干旱地区产生了负面影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of environmental degradation on Biomes in Brazilian Northeastern
In recent years, due to irregular rainfall, several regions across the globe suffer from some type of environmental degradation. Depending on the degree of intensity, they can lead to a series of socioeconomic problems, both regional and national. One of the most emblematic types of degradation today is the desertification development process, resulting in a combination of factors: anthropic, climatic, and/or environmental. In an attempt to understand the behavior of these impacts, this work evaluated the degradation process based on the Aridity Index (AI) on biomes located in the Brazilian Northeast (Caatinga, Atlantic Forest, Amazon, and Cerrado). The AI consists of the relationship between the use of evapotranspiration (in this case, the Thornthwaite estimation method) and precipitation. The data used correspond to the product Climatologies at high resolution for the earth's land surface areas (CHELSA), which have a spatial resolution of 1km x 1km and temporal resolution on a monthly scale, from 1979 to 2013. In addition, it was found that the AI behavior during years of the occurrence of the El Niño-Southern Oscillation (ENSO) warm phase, the El Niños. The identification of El Niño episodes was based on the Oceanic Niño Index (ONI) climate proxy, characterized by the Equatorial Pacific region known as the Niño 3.4 region, from which the years 1983, 1993, 1998, and 2012 were selected. AI results point out different behaviors between the biomes, mainly over the south of the northeastern Cerrado and the Caatinga, motivated by the strong variability of rainfall in the respective regions. The Caatinga stands out, which exhibited a large part of its area was classified as arid (AI between 0.05 – 0.20) and hyper-arid (AI < 0.05), mainly in 2012. The Amazon and biomes, on the other hand. Atlantic Forest has areas classified as semi-arid (AI < 0.5). El Niño had a reduction in the AI values, motivated by the long periods of drought and irregular rainfall that negatively impacted the semi-arid of the Northeast region.
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