评估授粉者丰度和服务,提高祁连山农业可持续性和作物产量优化

IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
Haijiang Yang , Xiaohua Gou , Yibo Niu , Wenwei Shi , Xinyun Wang , Yuxin Wei , Tek Maraseni
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引用次数: 0

摘要

授粉服务对作物生产和人类生计至关重要,它将自然生态系统与农业生产系统直接联系起来。然而,授粉服务和传粉昆虫正不断受到土地利用变化和其他各种环境压力的威胁。本研究以中国西北部整个祁连山区为案例,通过实地调查和文献研究,确定了研究区不同土地利用类型的蜜源分布情况。基于 1990-2020 年土地利用数据、作物产量数据、作物价格、授粉蜂种类和蜜源植物数据。我们采用生态生产总值(GEP)核算和授粉服务 InVEST 模型,评估了授粉服务的现状和趋势、土地利用变化和环境压力带来的风险,并提出了缓解已识别风险的潜在解决方案。研究结果表明:(1)蜜源和巢区的潜在分布与土地利用类型密切相关;(2)授粉昆虫丰度指数(PAI)在 0.30 以上,属于高水平,授粉潜力指数(PPI)在 0.15 至 0.30 之间,属于中等水平,在过去 40 年中,这两个指数普遍上升;(3)人类经济活动和土地管理政策对授粉服务的影响最大,分别为 15.57% 和 14.02%。气候变化(温度、降水、极端事件)和外来物种入侵的影响相对较小,分别占 0.14 % 和 0.15 %。(4)祁连山将面临新的风险,无论是单一种植还是依赖授粉昆虫作物的扩大,都可能导致栖息地同质化问题,潜在地影响授粉昆虫的丰度和多样性。我们建议在未来的规划中强调在提供花卉资源的同时提供传粉昆虫筑巢资源,恢复农作物附近的半自然和自然栖息地,调整种植模式,实施农业多样化,这将有助于确保传粉昆虫的多样性和农业生态系统授粉服务的可持续性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Assessing pollinator abundance and services to enhance agricultural sustainability and crop yield optimization in the Qilian Mountains

Assessing pollinator abundance and services to enhance agricultural sustainability and crop yield optimization in the Qilian Mountains

Context

Pollination services are critical to crop production and human livelihoods, linking natural ecosystems directly to agricultural production systems. However, pollination services and pollinators are under constant threat from land-use changes and various other environmental pressures.

Objective

In this study, employing a case study of the entire Qilian Mountains in northwest China, the distribution of nectar sources in different land use types in the study area was determined through field survey and literature.

Methods

Based on 1990–2020 land use data, crop yield data, crop prices, pollinating bee species and nectar plants data. We used the Gross Ecological Product (GEP) accounting and InVEST model of pollination services and assessed the status and trends of pollination services, the risks posed by land use changes and environmental pressures, and suggested potential solutions for mitigating identified risks.

Results and conclusions

The results of the study showed that (1) nectar sources and nesting areas' potential distribution closely correlates with land use types; (2) the Pollinator abundance index (PAI) is above 0.30, a high level, and the Pollination potential index (PPI) is between 0.15 and 0.30, a medium level, with both indices generally increasing over the past 40 years; (3) Human economic activities and land management policies had the most significant impact on pollination services, with 15.57 % and 14.02 %, respectively. Climate change (temperature, precipitation, extreme events) and invasive alien species had relatively minor impacts, accounting for 0.14 % and 0.15 %, respectively. (4) The Qilian Mountains will face a new risk, whether monoculture or the expansion of pollinator-dependent crops could lead to habitat homogenization issues, potentially affecting pollinator abundance and diversity.

Significance

We recommend that future plans emphasize the provision of pollinator nesting resources along with floral resources, restoration of semi-natural and natural habitats adjacent to crops, adjustment of cropping patterns, and implementation of agricultural diversification, which will help to ensure pollinator diversity and sustainability of agroecosystem pollination services.

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来源期刊
Agricultural Systems
Agricultural Systems 农林科学-农业综合
CiteScore
13.30
自引率
7.60%
发文量
174
审稿时长
30 days
期刊介绍: Agricultural Systems is an international journal that deals with interactions - among the components of agricultural systems, among hierarchical levels of agricultural systems, between agricultural and other land use systems, and between agricultural systems and their natural, social and economic environments. The scope includes the development and application of systems analysis methodologies in the following areas: Systems approaches in the sustainable intensification of agriculture; pathways for sustainable intensification; crop-livestock integration; farm-level resource allocation; quantification of benefits and trade-offs at farm to landscape levels; integrative, participatory and dynamic modelling approaches for qualitative and quantitative assessments of agricultural systems and decision making; The interactions between agricultural and non-agricultural landscapes; the multiple services of agricultural systems; food security and the environment; Global change and adaptation science; transformational adaptations as driven by changes in climate, policy, values and attitudes influencing the design of farming systems; Development and application of farming systems design tools and methods for impact, scenario and case study analysis; managing the complexities of dynamic agricultural systems; innovation systems and multi stakeholder arrangements that support or promote change and (or) inform policy decisions.
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