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太平洋岛屿农林复合系统中生物多样性和群落弹性衡量指标之间的联系。

Linkages between measures of biodiversity and community resilience in Pacific Island agroforests.

机构信息

Botany Department, University of Hawai'i at Mānoa, 3190 Maile Way, Honolulu, HI, 96822, U.S.A.

Biology Department, University of Hawai'i at Mānoa, 2538 McCarthy Mall, Honolulu, HI, 96822, U.S.A.

出版信息

Conserv Biol. 2018 Oct;32(5):1085-1095. doi: 10.1111/cobi.13152. Epub 2018 Jul 10.

Abstract

Designing agroecosystems that are compatible with the conservation of biodiversity is a top conservation priority. However, the social variables that drive native biodiversity conservation in these systems are poorly understood. We devised a new approach to identify social-ecological linkages that affect conservation outcomes in agroecosystems and in social-ecological systems more broadly. We focused on coastal agroforests in Fiji, which, like agroforests across other small Pacific Islands, are critical to food security, contain much of the country's remaining lowland forests, and have rapidly declining levels of native biodiversity. We tested the relationships among social variables and native tree species richness in agroforests with structural equation models. The models were built with data from ecological and social surveys in 100 agroforests and associated households. The agroforests hosted 95 native tree species of which almost one-third were endemic. Fifty-eight percent of farms had at least one species considered threatened at the national or international level. The best-fit structural equation model (R = 47.8%) showed that social variables important for community resilience-local ecological knowledge, social network connectivity, and livelihood diversity-had direct and indirect positive effects on native tree species richness. Cash-crop intensification, a driver of biodiversity loss elsewhere, did not negatively affect native tree richness within parcels. Joining efforts to build community resilience, specifically by increasing livelihood diversity, local ecological knowledge, and social network connectivity, may help conservation agencies conserve the rapidly declining biodiversity in the region.

摘要

设计与生物多样性保护兼容的农业生态系统是当务之急。然而,这些系统中驱动本地生物多样性保护的社会变量还了解甚少。我们设计了一种新方法来确定影响农业生态系统和更广泛的社会-生态系统保护结果的社会-生态联系。我们专注于斐济沿海的农林复合系统,这些农林复合系统与其他小太平洋岛屿的农林复合系统一样,对粮食安全至关重要,包含了该国大部分剩余的低地森林,并且本地生物多样性迅速减少。我们使用结构方程模型检验了社会变量与农林复合系统中本地树种丰富度之间的关系。这些模型是使用 100 个农林复合系统及其相关家庭的生态和社会调查数据构建的。这些农林复合系统拥有 95 种本地树种,其中近三分之一是特有种。58%的农场至少有一种被认为在国家或国际层面受到威胁的物种。最佳拟合结构方程模型(R = 47.8%)表明,对社区恢复力很重要的社会变量——当地生态知识、社会网络连通性和生计多样性——对本地树种丰富度有直接和间接的积极影响。在其他地方导致生物多样性丧失的现金作物集约化,并没有对地块内的本地树种丰富度产生负面影响。通过增加生计多样性、当地生态知识和社会网络连通性来共同努力增强社区恢复力,可能有助于保护机构保护该地区迅速减少的生物多样性。

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