CHOCOLATE4LIFE · Achieving sustainable agriculture in African cacao through DNA metabarcoding and food web models
„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“
- Период
- 2019-08-01 → 2021-10-31
- Финансиране от ЕС
- 195 455 €
- Участници
- 1
- Схема
- MSCA-IF
Линиите свързват координатора с партньорите.
Накратко на български
Птиците и прилепите в африканските плантации за какао се изследват чрез анализ на ДНК в техните изпражнения, за да се разбере кои видове се хранят с вредители. Това помага за създаването на устойчиво земеделие, което подкрепя едновременно местните фермери и биоразнообразието.
Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.
Резултати накратко
Achieving sustainable agriculture in African cacao through DNA metabarcoding and food web models
Cocoa, which fuels the multi-billion dollar chocolate market, is grown in tropical rainforest—mostly in Sub-Saharan Africa on small, family owned farms. African farmers, which produce about 70% of cocoa worldwide, typically cannot afford pesticides, so they rely nature for pest insect removal, but neither farmers nor scientists know which birds and bats provide this service. Shade trees also provide habitat for the African birds and bats that undoubtedly save farmers millions of dollars through pest control. Surprising little is known from a scientific perspective about how to manage African cocoa plantations—either for improvement of agricultural production or for the benefit of biodiversity. However, cutting edge new genetics techniques now allow us to sequence the bits of insect and plant DNA left in birds and bat faeces. We can then map thousands of species in the food web, which ultimately can help us predict how agricultural systems will respond to management. Further, exclusion experiments (ie., covering cocoa trees with bird/bat-proof netting) can help us quantify the value of the ecosystem services. Ultimately, a high-resolution food web, along with exclusion experiments, will help us to understand the following: 1. Which birds and bats consume pest arthropods? 2. How much do birds and bats save farmers via ecosystem services? 3. What management scenarios benefit birds and bats? 4. And ultimately, what are win-win management scenarios that benefit BOTH African farmers and biodiversity? With this novel framework, we seek to build towards a system in which African farmers benefit through inexpensive, sustainable management of cocoa, and rainforest animals benefit through the planting of trees that mimic their natural habitat. Our exclusion experiment showed that relative to experimental trees with birds and bats excluded, control trees had 3.9 times more flowers and 3.2 times more large pods at high levels of shade cover (90%), whereas at low levels of shade cover (10%) trees had 5.2 times fewer Flowers and 3.7 times fewer large pods. This suggests not only that bats and birds consume large numbers of cocoa pests, but that the ecosystem services provided by birds and bats are even more important in full sun farms. More generally, we conclude that cocoa, though diverse in birds and bats, is not suitable as an alternative to primary forest as it lacks forest specialists, insectivores and ant-following birds. Well-managed cocoa farms are diverse (higher gamma diversity than forest), and may be suitable as buffers of primary forest or corridors between patches.
Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз
Цел на проекта
Anthropocentric destruction of natural ecosystems, such as tropical rainforests, has created an urgent need to balance agricultural production with biodiversity. To achieve sustainability, we must manage ecosystems to prioritise both species that both maximise ecosystem support for crops (“ecosystem service species”) and those that maximise biodiversity (“keystone species”). The framework of community models offers an ideal platform for managing a balance between keystone and ecosystem service species, but two principle components remain: 1) a method for rapidly identifying key species and quantifying interactions between species, and 2) quantitative methods that can fit dynamic community models to such novel data. To overcome the first issue, I will characterize species interactions by implementing state-of-the-art diet metabarcoding, in which the prey of hundreds of animals as well as the plant taxa consumed by prey can be simultaneously identified through predator faeces. With my host at the University of Glasgow, these data will enable me to develop a step-change in food-web modelling. Using Bayesian statistical inference I will construct models in which the strength of connections among species will dynamically adapt to changes in their abundance. With species identifications from metabarcoding, I will build multi-trophic food web models of African shade cacao plantations to address three objectives: 1) identify keystone trees that maximize richness of birds and arthropods (i.e., biodiversity); 2) determine ecosystem service species that maximize predation of damaging pest arthropods and 3) identify “crossover species”: those with both ecosystem service and keystone properties. This cutting edge approach will provide an ecosystem-level understanding of factors affecting the relationship between biodiversity and agricultural production, allowing sustainable management and many further applications in agriculture, ecology, disease control and beyond.
Оригинален текст от CORDIS (на английски).
Участници
- UNIVERSITY OF GLASGOW · GlasgowКоординаторОбединеното кралство
Връзки
- Виж в CORDIS
- DOI: 10.3030/797203
- http://biodiversityinitiative.org/initiatives/biodiversity-friendly-cacao-2/
Данни: CORDIS, © Европейски съюз
