解读退化中的复原力:阿根廷巴拉那河三角洲淡水沼泽的反复丧失

IF 3.8 Q2 ENVIRONMENTAL SCIENCES Remote Sensing Applications-Society and Environment Pub Date : 2024-07-14 DOI:10.1016/j.rsase.2024.101299
Diego Sebastian Aquino , Facundo Schivo , Gregorio Gavier-Pizarro , Rubén Darío Quintana
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引用次数: 0

摘要

近几十年来,人类活动和自然干扰对湿地生态系统的生态和水文造成了一些影响。作为南美洲最重要的湿地生态系统之一,巴拉那河下游三角洲的湿地植被在结构和功能上都遭受了重大损失。这些损失不仅促使淡水沼泽在 1997 年至 2013 年间大面积转化为草地,还导致生态系统功能多样性在 2001 年至 2015 年间下降。这些过程表现为长期植被动态的突然转变,与水文系统之间扭曲、短暂、空间异质性的关系,以及植物群落的改变。然而,最近的实地观测(2015-2023 年)对之前的发现和假设提出了部分挑战。因此,我们要问,之前观测到的湿地损失是否是长期周期性过程的一部分,而不是永久性变化。为了解决这个问题,我们通过对 1985 年至 2023 年期间的 Landsat 年复合图进行基于对象的监督分类,并在 935 个地面实况点上进行训练,研究了土地利用和土地覆被转换情况。为了研究湿地增减的时空模式,我们采用了强度分析(IA)以及捕捉特定频率变化和识别线性趋势显著变化的分析方法。我们共绘制了 39 幅土地覆被图。强度分析表明,在区间、类别和过渡等所有分析层次上都存在非稳态性。研究区域通过显著且日益增加的短期、周期性动态变化,展现了淡水沼泽增减的弹性模式。与此相反,长期的负面趋势则描绘了绝对的、持续的损失。这些截然不同的模式表明,尽管经历了绝对的损失和退化,湿地生态系统仍能通过表现出短暂的恢复或适应机制而茁壮成长。我们的研究揭示了湿地生态系统动态的复杂性,强调了在土地利用集约化的背景下,恢复力和退化是如何相互作用的。
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Unraveling resilience amidst degradation: Recurring loss of freshwater marshes in the Paraná River Delta, Argentina

Wetland ecosystems have experienced several ecological and hydrological impacts in recent decades determined by human activities and natural disturbances. The Lower Delta of the Paraná River, one of the most important wetland ecosystems of South America, has seen significant losses in both the structural and functional components of wetland vegetation. These losses promoted not only a widespread conversion of freshwater marshes into grasslands between 1997 and 2013, but also a decline in ecosystem functional diversity between 2001 and 2015. These processes manifested as abrupt shifts in long-term vegetation dynamics, a distorted, transient, spatially heterogeneous relationship with the hydrologic regime, and altered plant communities. However, recent field observations (2015–2023) have partially challenged previous findings and assumptions. Thus, we ask whether previously observed wetland losses are part of a long-term periodic process, rather than a permanent change. To address this question, we studied land use and land cover conversions through an object-based supervised classification of yearly Landsat composites between 1985 and 2023, trained on 935 ground-truth points. To study the spatial and temporal patterns of wetland gain and loss, we implemented an Intensity Analysis (IA), as well as analyses that capture frequency-specific variations and identify significant shifts in linear trends. We produced a total of 39 land cover maps. The IA revealed non-stationarity at all levels of analysis: interval, category, and transition. The study area exhibited resilient patterns through significant and increasingly short-term, periodic dynamics guiding the gain and loss of freshwater marshes. On the opposite, long-term, negative trends depicted an absolute, sustained loss. These contrasting patterns suggest that despite experiencing absolute loss and degradation, wetland ecosystems thrive by exhibiting transient recovery or adaptation mechanisms. Our study unraveled the complexity of wetland ecosystem dynamics, emphasizing how resilience and degradation interplay in the context of land use intensification.

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来源期刊
CiteScore
8.00
自引率
8.50%
发文量
204
审稿时长
65 days
期刊介绍: The journal ''Remote Sensing Applications: Society and Environment'' (RSASE) focuses on remote sensing studies that address specific topics with an emphasis on environmental and societal issues - regional / local studies with global significance. Subjects are encouraged to have an interdisciplinary approach and include, but are not limited by: " -Global and climate change studies addressing the impact of increasing concentrations of greenhouse gases, CO2 emission, carbon balance and carbon mitigation, energy system on social and environmental systems -Ecological and environmental issues including biodiversity, ecosystem dynamics, land degradation, atmospheric and water pollution, urban footprint, ecosystem management and natural hazards (e.g. earthquakes, typhoons, floods, landslides) -Natural resource studies including land-use in general, biomass estimation, forests, agricultural land, plantation, soils, coral reefs, wetland and water resources -Agriculture, food production systems and food security outcomes -Socio-economic issues including urban systems, urban growth, public health, epidemics, land-use transition and land use conflicts -Oceanography and coastal zone studies, including sea level rise projections, coastlines changes and the ocean-land interface -Regional challenges for remote sensing application techniques, monitoring and analysis, such as cloud screening and atmospheric correction for tropical regions -Interdisciplinary studies combining remote sensing, household survey data, field measurements and models to address environmental, societal and sustainability issues -Quantitative and qualitative analysis that documents the impact of using remote sensing studies in social, political, environmental or economic systems
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