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Nutrient input estimation and reduction strategies related to land use and landscape pattern (LULP) in a near-eutrophic coastal bay with a small watershed in the South China sea

机译:南海近富营养的沿海湾土地利用和景观模式(LULP)有关的营养投入估计和减少策略

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摘要

Eutrophication (excessive plant/algal growth caused by nutrient pollution) of coastal waters has increased globally and is associated with many ecological and environmental problems. In China, eutrophication is recognized as a key threat to sustainable economic development and human wellbeing. To address the eutrophication problem, the first step is to identify the sources and drivers of nutrient input. This, however, is challenging in densely populated areas of rapid land use and land cover change (LUCC) because there are so many potential sources of nutrient pollution. In this study, we sought to estimate nutrient pollution, determine drivers, and develop reduction strategies for Daya Bay, southeastern China's most densely populated and industrialized coastal region with a small watershed. We identified six key sources of total nitrogen (TN) and total phosphorus (TP) loading into Daya Bay. We developed spatially-explicit heat maps to guide resource managers to priority areas and demonstrate how different pollution generation and discharge characteristics are linked to land use and landscape pattern (LULP). We found that the generation, emission and input of terrigenous TN loads were 5863.7, 1975.3 and 1540.4 t yr(-1), respectively, while those of TP were 762.2, 197.1 and 134.1 t yr(-1), respectively. Urban domestic pollution loads (UDPL) were the main source of TN, while agrochemical pollution loads (APL) were the main source of TP. The Dan'ao River basin was the critical source region of TN loads, while the Baiyun-Zhuyuan River basin was the critical source region of TP loads. The area of urban construction lands (UCL) and rural residential lands (RRL) were the dominant factors controlling TN loads, while cultivated land (CL) and RRL controlled TP loads. Increasing green in shores (GS), inland water bodies (IWB) and coastal wetlands (CW) could effectively reduce the amount of TN flowing into the bay, while increasing forest land (FL), IWB, CW and GS were able to effectively reduce the amount of TP. These findings suggest that we could reduce the TN load entering Daya Bay by controlling the area of UCL, increasing GS and CW, protecting IWB in the critical source region of TN; and we could reduce the TP load through planting forest, protecting IWB, and restoring CW in the critical source region of TP. This study provides important new practical guidance on priority areas to combine control nutrients with ecological restoration in watershed-bay ecosystem management.
机译:沿海水域的富营养化(植物/藻类污染引起的过度植物/藻类生长)在全球范围内增加,与许多生态和环境问题有关。在中国,富营养化被认为是对可持续经济发展和人类健康的关键威胁。为了解决富营养化问题,第一步是识别营养输入的来源和驱动程序。然而,这在浓密地利用土地利用和陆地覆盖变化(LUCC)的密集地区具有挑战性,因为存在如此多的营养素污染源。在这项研究中,我们寻求估计养分污染,确定Daya Bay的驾驶员,并制定Daya Bay的减少策略,其中包括一个小流域的沿海地区最稠密和工业化的沿海地区。我们将总氮气(TN)和总磷(TP)装载的六个关键来源鉴定为Daya湾。我们开发了空间显式的热图,以指导资源管理人员到优先领域,并展示与土地使用和景观模式(LULP)相关的不同污染发电和放电特性。我们发现,人造TN载荷的产生,排放和输入分别为5863.7,19​​75.3和1540.4 t YR(-1),而TP分别为762.2,197.1和134.1 T YR(-1)。都市污染载荷(UDPL)是TN的主要来源,而农业化学污染载荷(APL)是TP的主要来源。丹嫂河流域是TN负荷的关键来源区,而白云珠河流域是TP负荷的关键源区。城市建设地区(UCL)和农村住宅地区(RRL)是控制TN负荷的主导因素,而耕地(CL)和RRL受控TP负荷。在海岸(GS)中增加绿色(GS),内陆水体(IWB)和沿海湿地(CW)可以有效地减少流入海湾的TN量,同时增加林地(FL),IWB,CW和GS能够有效地减少TP的数量。这些发现表明,我们可以通过控制UCL的面积,增加GS和CW,在TN的临界源区保护IWB中来减少进入Daya湾的TN负荷;我们可以通过种植森林,保护IWB,在TP的关键源区中减少TP负荷。本研究为优先领域提供了重要的新实际指导,将控制营养与流域湾生态系统管理中生态恢复相结合。

著录项

  • 来源
    《Ocean & coastal management》 |2021年第6期|105573.1-105573.11|共11页
  • 作者单位

    Chinese Acad Sci South China Sea Inst Oceanol Key Lab Trop Marine Bioresources & Ecol Guangzhou 510301 Peoples R China|Marine Dev Planning & Res Ctr Guangdong Prov Guangzhou 510220 Peoples R China|Southern Marine Sci & Engn Guangdong Lab Guangzhou 511458 Peoples R China|Univ Chinese Acad Sci Beijing 100049 Peoples R China;

    Marine Dev Planning & Res Ctr Guangdong Prov Guangzhou 510220 Peoples R China;

    Chinese Acad Sci South China Sea Inst Oceanol Key Lab Trop Marine Bioresources & Ecol Guangzhou 510301 Peoples R China|Southern Marine Sci & Engn Guangdong Lab Guangzhou 511458 Peoples R China;

    Chinese Acad Sci South China Sea Inst Oceanol Key Lab Trop Marine Bioresources & Ecol Guangzhou 510301 Peoples R China|Southern Marine Sci & Engn Guangdong Lab Guangzhou 511458 Peoples R China;

    Chinese Acad Sci South China Sea Inst Oceanol Key Lab Trop Marine Bioresources & Ecol Guangzhou 510301 Peoples R China|Southern Marine Sci & Engn Guangdong Lab Guangzhou 511458 Peoples R China;

    Chinese Acad Sci South China Sea Inst Oceanol Key Lab Trop Marine Bioresources & Ecol Guangzhou 510301 Peoples R China|Southern Marine Sci & Engn Guangdong Lab Guangzhou 511458 Peoples R China|Univ Chinese Acad Sci Beijing 100049 Peoples R China;

    Deakin Univ Sch Life & Environm Sci Ctr Integrat Ecol Burwood Vic 3125 Australia;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Nutrient input; Reduction strategies; Land use and landscape pattern (LULP); Ecological restoration; Daya bay;

    机译:营养投入;减少策略;土地使用和景观模式(LULP);生态恢复;大亚湾;
  • 入库时间 2022-08-19 01:57:17

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