乌干达东部利莫托湿地土地利用/覆被在恢复活动前后的时空变化

John Ochoko, Bernad Barasa, S. Luyiga, J. Magaya
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引用次数: 0

摘要

目的:Limoto湿地是Kyoga盆地Mpologoma湿地系统的一个分支,是一个重要的生态系统,通过提供各种生态产品和服务来支持农村生计。然而,由于竞争土地利用,特别是水稻种植,这一生态系统正在迅速退化。反过来,这导致湿地提供生态系统服务的能力下降,从而降低了生态系统和邻近社区生计的恢复能力。通过引入替代生计选择的恢复计划进行干预。重要的是记录这些变化,以获得有助于有效修复和保护决策的见解。因此,本研究旨在研究2015年、2020年和2022年里本托湿地土地利用/覆被变迁的时空变化。方法:为量化湿地变化,利用2015年、2020年和2022年的遥感影像,通过极大似然算法对利莫托湿地的土地利用和土地覆盖动态进行分类。从不同的土地利用/覆被类型中共收集了500个点,并作为参考点来开发图像误差矩阵。总体精度、生产者和用户的精度以及Kappa统计数据由误差矩阵生成。采用Kappa检验测量分类准确率;Kappa系数,K,是一个一致性系数。它反映了参考数据分类的实际一致性与偶然期望的一致性之间的差异。研究结果表明,恢复计划(2020年)五年后,利莫托湿地恢复了50%以上的以前转化为农业的湿地。纸莎草的覆盖率也增加了一倍多,从总湿地覆盖率的3.4%增加到11.35%。过去几年(1986-2019年),农场出现退化。然而,到2022年,湿地覆盖率急剧下降,农业用地占覆盖面积的一半以上(55%),建成区面积也有所增加。2015-2020年期间的这些变化主要是由于引入了替代生计选择,使社区从湿地中腾出来。建议:2020年之后的变化是由于生计选择不可持续,以及Covid-19封锁的影响,农业只能作为社会经济活动,再加上行动限制削弱了执法人员对湿地活动的监测和控制。该研究推荐了适合社区的、可行的和可持续的替代生计选择,以影响社区主导的湿地恢复和保护,以遏制该湿地的持续流失。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial-Temporal Changes of Limoto Wetland Land Use/Cover Before, During and After Restoration Activities in Eastern Uganda
Purpose: Limoto Wetland is an arm of the Mpologoma wetland system in the Kyoga basin and is a vital ecosystem that supports rural livelihoods through the provision of various ecological goods and services. However, this ecosystem has been undergoing rapid degradation arising from competing land uses particularly paddy rice growing. In turn, this led to reduced capacity of the wetland to provide ecosystem services, thereby reducing the resilience of both the ecosystem and the livelihoods of adjacent communities. Interventions through a restoration program that introduced alternative livelihood options were instituted. It’s important to document these changes to obtain insights that can aid decision-making for effective restoration and conservation. This study, therefore, sought to examine the spatial-temporal changes in Limoto wetland land use/cover transitions for the years 2015, 2020, and 2022. Methodology: To quantify the wetland changes, remotely sensed imageries for 2015, 2020, and 2022 were utilized in classifying land use and land cover dynamics on Limoto Wetland through the Maximum Likelihood algorithm. A total of 500 points were collected from different land use/cover types and used as reference points to develop the image error matrices. Overall accuracy, producer’s and user’s accuracies as well as Kappa statistics were generated from the error matrices. A Kappa test was carried out to measure the extent of classification accuracy; the Kappa coefficient, K, being a coefficient of agreement. It reflects the difference between the actual agreement of classification with reference data and the agreement expected by chance. Findings: Results generally showed that five years after the restoration program (2020), Limoto wetlands regained over 50% of previously converted wetlands to farming. Papyrus coverage also more than doubled from 3.4% to 11.35% of the total wetland coverage. Farms degraded over the past years (1986-2019). However, in 2022, wetland coverage declined drastically as farming took up more than half of the coverage (55%) land, and built-up areas also increased. These changes between 2015-2020 were majorly driven by the introduction of alternative livelihood options which vacated communities from the wetland. Recommendation: The changes after 2020 were due to the unsustainability of the livelihood options and the effects of the Covid-19 lockdown which rendered only farming as the socio-economic activity, coupled with movement restrictions that curtailed monitoring and control of activities in wetlands by enforcers. The study recommends community-tailored, tenable, and sustainable alternative livelihood options to influence community-led wetland restoration and conservation to curb the continuous loss of this wetland.  
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