生物多样性连续森林和斑块的保护可能提供支持油棕榈产量的服务:来自卫星作物监测的证据

Aslinda Oon , Azizah Ahmad , Syarina Md Sah , Khairul Nizam Abdul Maulud , Muhammad Syafiq Yahya , Alex M. Lechner , Badrul Azhar
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引用次数: 1

摘要

保护天然林,如那些被确定为高保护价值(HCV)地区的天然林,可能会促进作物生产,因为从邻近森林溢出的生物多样性提供了生态系统服务。为了研究保护油棕种植园附近的毗连和孤立森林对作物健康的影响,我们测量了油棕地块与连续森林和森林斑块边界之间的距离。我们调查了715个油棕榈样地,包括613个大型油棕榈种植园样地和102个小农户样地,这些样地相距至少300米,半径为100米。使用马来西亚森比兰内盖里2016年、2018年、2019年和2020年的卫星图像和辅助空间数据来确定海拔和植被指数(VI)。得出的VI为归一化差异植被指数(NDVI)、增强植被指数(EVI)和归一化差异水分指数(NDMI)。NDVI和EVI都用于测量植被的绿色度。NDMI用于测定植物的含水量。VI对于各种应用至关重要,包括植被监测、干旱研究和农业运营。然后,我们使用广义线性模型(GLM)来检验VI与林分和景观水平变量之间的关系。每个VI都被用作响应变量,海拔、与连续森林或森林斑块的距离以及油棕管理系统(即小农户和工业种植园)作为解释变量。结果表明,叶绿素敏感性NDVI随距连片林距离的增加而降低,但距斑块较远时增加。相反,密集植被敏感EVI在远离连续森林的地方增加,但随着与森林斑块距离的增加而减少。邻近连续森林或森林斑块对NDMI没有影响。小农场的所有植被指数都低于工业种植园。植被指数均未受到海拔高度的显著影响。鉴于这些指数可以预测棕榈的健康和产量,这种模式可以通过连续森林和森林斑块的森林生物多样性溢出效应,为更接近某些森林类型的油棕榈种植者带来更大的生态系统服务。这项研究表明,保护和行业利益相关者应共同努力,加强HCV标准中生物多样性连续森林和森林斑块的保护,以发展更可持续的油棕榈农业,因为它们在支持生态系统服务方面具有潜在作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The conservation of biodiverse continuous forests and patches may provide services that support oil palm yield: Evidence from satellite crop monitoring

Protecting natural forests such as those identified as high conservation value (HCV) areas may facilitate crop production due to the benefit from ecosystem services provided by biodiversity spill-over from adjacent forests. To investigate the effect of protecting contiguous and isolated forests adjacent to oil palm plantations on crop health, we measured the distance between oil palm plots and the continuous forest and forest patch boundaries. We surveyed 715 oil palm sample plots comprising 613 plots in large-scale oil palm plantation and 102 plots in smallholdings that were at least 300 m apart and had a radius of 100 m. Satellite imagery and ancillary spatial data from 2016, 2018, 2019 and 2020 of Negeri Sembilan, Malaysia were used to determine elevation and vegetation indices (VIs). The VIs derived were the Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), and Normalized Difference Moisture Index (NDMI). Both NDVI and EVI are used to measure the vegetation greenness. The NDMI is used to determine the water content of plants. The VIs are crucial for a variety of applications, including vegetation monitoring, drought research, and agricultural operations. We then used generalized linear models (GLMs) to examine the relationship between VIs and stand-and landscape-level variables. Each VI was used as a response variable, with elevation, distance from continuous forest or forest patches, and oil palm management system (i.e., smallholding and industrial plantation) as explanatory variables. Our results revealed that the chlorophyll sensitive NDVI decreased with increasing distance from continuous forest, but increased away from the forest patches. In contrast, the dense vegetation sensitive EVI increased away from continuous forest, but decreased when distance from forest patches increased. Proximity to continuous forests or forest patches had no effect on the NDMI. All the vegetation indices were lower in smallholdings than industrial plantations. None of the vegetation indices were significantly influenced by elevation. Given that these indices predict palm health and yield, this pattern could result in greater ecosystem services that benefit oil palm growers in oil palm closer to some forest types through the spillover effects of forest biodiversity from continuous forests and forest patches. This study suggests that conservation and industry stakeholders should work together to strengthen the conservation of biodiverse continuous forests and forest patches in HCV standard to develop more-sustainable oil palm agriculture, because of their potential role in supporting ecosystem services.

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