What to plant, when and where? - designing integrated forest-agricultural landscapes to enhance multiple livelihood benefits to and from agriculture
What to plant, when and where? - designing integrated forest-agricultural landscapes to enhance multiple livelihood benefits to and from agriculture
批准号:
BB/S014586/1
负责人:
Marion Pfeifer
金额:
$73.46万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2019
资助国家:
英国
项目状态:
已结题
起止时间:
2019 至 --
中文摘要
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英文摘要
The overall aim of our project is to investigate biological and human well-being benefits provided by natural capital (sensu agroforestry) in tropical landscapes of Sub-Saharan Africa.Integrated land management that exploits natural capital (e.g. natural and semi-natural habitats and their resources) for benefits to and from agriculture has been identified as a key component of sustainable agricultural intensification in Sub-Saharan Africa by academics and practitioners. Small-holder farmers traditionally recognise the benefits natural habitats can provide to agriculture. But research on underlying 'best practice' for improved crop yields is rare. Large knowledge gaps exist on the potential of natural capital for improving crop production whilst protecting biodiversity, clean water and resources such as timber, food, medicine and fuel. Data gaps are considerable on the biological mechanisms that underlie the benefits of natural capital for agriculture. Both knowledge and data gaps create perception challenges ('how useful is natural capital and is it necessary?) and these in turn hinders the targeted uptake of integrated land management for agricultural intensification in small-holder and industrial farms.Our research will fill these gaps combining social and ecological method advances to quantify how and to what extent integrated landscape management can enhance benefits to and from agriculture. Working with rural farmers, agribusiness, development and education practitioners, research organisations and government in Tanzania, we will collect and analyse ecological and socio-economic data from our study landscape in Tanzania to address four key objectives. Our study landscape (~ 20 km x 40 km) encompasses part of a corridor along the border between the fragile forests of the Udzungwa Mountains and the productive croplands of the Kilombero Valley, a water catchment area and an important ecological hotspot. First, we will investigate the four key benefits provided by the study landscape: these include crop yields, soil health, biodiversity (in particular abundance of pollinators and natural enemies of pests and their interactions with food plants and habitats), and human-wellbeing. Second, we will investigate the spatial dependencies of these four benefits on natural and semi-natural habitats and their distribution in the landscape. Third, we will develop models that predict changes in these four benefits following restoration or loss of semi-natural and natural habitats in the study landscape. These will allow us to design landscapes and management that would maximise the four benefits. And fourth, we will investigate the drivers for decision-making by farmers and agribusiness on the management of farms and the wider landscape. We will develop a tool that allows us to visualise those drivers and how they translate into decision-making and subsequently into agricultural productivity. Our project's research focus is on impact aiming to maximise the utilisation of natural capital for food security and human-wellbeing. This builds on the definition of sustainable resource as 'use of resources at rates that do not exceed the capacity of the Earth to replace them'. The research builds on evidence that agroforestry can substantially benefit crops, soil and biodiversity linked to pollination and pest control, whilst generating local (food, timber, firewood, medicine) and global (climate change mitigation, biodiversity conservation) environmental benefits. Our research will build on long-term partnerships established in the study landscape with farmers, agribusiness and government to achieve that impact.
期刊论文(10)
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StrucNet: a global network for automated vegetation structure monitoring
StrucNet:用于自动植被结构监测的全球网络
DOI:
10.1002/rse2.333
发表时间:
2023
期刊:
Remote Sensing in Ecology and Conservation
影响因子:
5.5
作者:
[Calders K]
通讯作者:
Calders K
DOI:
10.1038/s41467-022-31150-5
发表时间:
2022-06-21
期刊:
NATURE COMMUNICATIONS
影响因子:
16.6
作者:
[Guenat, Solene, Purnell, Phil, Davies, Zoe G., Nawrath, Maximilian, Stringer, Lindsay C., Babu, Giridhara Rathnaiah, Balasubramanian, Muniyandi, Ballantyne, Erica E. F., Bylappa, Bhuvana Kolar, Chen, Bei, De Jager, Peta, Del Prete, Andrea, Di Nuovo, Alessandro, Ehi-Eromosele, Cyril O., Eskandari Torbaghan, Mehran, Evans, Karl L., Fraundorfer, Markus, Haouas, Wissem, Izunobi, Josephat U., Jauregui-Correa, Juan Carlos, Kaddouh, Bilal Y., Lewycka, Sonia, MacIntosh, Ana C., Mady, Christine, Maple, Carsten, Mhiret, Worku N., Mohammed-Amin, Rozhen Kamal, Olawole, Olukunle Charles, Oluseyi, Temilola, Orfila, Caroline, Ossola, Alessandro, Pfeifer, Marion, Pridmore, Tony, Rijal, Moti L., Rega-Brodsky, Christine C., Robertson, Ian D., Rogers, Christopher D. F., Rouge, Charles, Rumaney, Maryam B., Seeletso, Mmabaledi K., Shaqura, Mohammed Z., Suresh, L. M., Sweeting, Martin N., Taylor Buck, Nick, Ukwuru, M. U., Verbeek, Thomas, Voss, Hinrich, Wadud, Zia, Wang, Xinjun, Winn, Neil, Dallimer, Martin]
通讯作者:
Dallimer, Martin
Conspecific density plays a pivotal role in shaping sapling community in highly fragmented subtropical forests
同种密度在塑造高度分散的亚热带森林中的树苗群落中起着关键作用
DOI:
10.1111/aec.13249
发表时间:
2022
期刊:
Austral Ecology
影响因子:
1.5
作者:
[Da Silva D]
通讯作者:
Da Silva D
DOI:
10.1038/s41586-022-04733-x
发表时间:
2022
期刊:
Nature
影响因子:
64.8
作者:
[Fleischman, Forrest, Coleman, Eric, Fischer, Harry, Kashwan, Prakash, Pfeifer, Marion, Ramprasad, Vijay, Rodriguez Solorzano, Claudia, Veldman, Joseph W.]
通讯作者:
Veldman, Joseph W.
Optimising sampling designs for habitat fragmentation studies
优化栖息地破碎化研究的抽样设计
DOI:
10.1111/2041-210x.13731
发表时间:
2021
期刊:
Methods in Ecology and Evolution
影响因子:
6.6
作者:
[Bowler E]
通讯作者:
Bowler E
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国内基金
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Molecular Plant
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批准号:31224801
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依托单位:
Molecular Plant
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不同栽培环境条件下不同基因型牡丹根部细菌种群多样性特征
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依托单位:
Journal of Integrative Plant Biology
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批准号:31024801
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植物病毒壳体"智能"纳米载体靶向肿瘤细胞的研究
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南美蟛蜞菊入侵对土壤微生物的影响及反馈作用
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弓形虫MAG嵌合型类病毒颗粒转基因植物快速高效表达技术平台的建立及其动物口服免疫机制的探索
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梅花植株再生体系及遗传转化体系建立的研究
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批准年份:2003
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负责人:吕英民
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