H2020Индивидуална стипендия2018–2020

FUNDra · Remote sensing to model spatiotemporal distribution of functional diversity in the tundra

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период: 2018-11-01 → 2020-10-31
Финансиране от ЕС: 177 599 €
Участници: 1
Схема: MSCA-IF-EF-CAR

Линиите свързват координатора с партньорите.

Накратко на български

Функционалното разнообразие на растенията се проследява сезонно, като се изследва как сушата влияе върху характеристиките на горите. Това помага да се разбере как видовете реагират на стреса и как да се ограничи тяхната загуба.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Remote sensing to model spatiotemporal distribution of functional diversity in the tundra

Functional diversity (FD) is an important quantifiable metric of ecosystem function. This is often measured during the growing season and the value is used to characterize an ecosystem. It is known, however, that functional traits change seasonally and so by definition, FD must fluctuate also. The temporal dynamics have not been previously examined. During the grant period, a severe drought in Europe gave the opportunity to study how traits respond to drought stress. The summer of 2018 brought a record-breaking heat wave and record low rainfall, resulting in a severe drought in much of northern and central Europe. In the following year, precipitation increased but, in many locations, remained below average. A temporal study that began in 2017 in a temperate evergreen forest in the Netherlands allowed the opportunity to examine the effects of this drought on functional traits before, during, and after the event. Understanding dynamics of FD is important because currently we only have one snapshot to characterize whole systems. Knowing how this metric changes seasonally and annually gives a better understanding of the functionality of these systems, allowing decision makers to valuate these areas more accurately. The trait-based approach gives an understanding of how species respond and therefore how we may better prepare for or mitigate their loss. The overall objectives were to determine the seasonal dynamics of functional diversity and compare a diverse and non-diverse system, determine the effect of drought on functional traits and diversity in Douglas Fir at the plot scale, and determine the effects of drought on forest functional traits at a landscape scale.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

Functional diversity (FD) among species in ecosystems allows these systems to function optimally and provide essential services for society, e.g. carbon sequestration and water filtration. FD determines the ecosystem’s resilience to environmental change and provides resilience to abrupt disturbances. Although the importance of FD is now recognized, its divers across spatial and temporal scales are not yet clear. This lack of knowledge is enhanced by the difficulty to infer FD from communities that cannot be realistically sampled, such as most tundra ecosystems. Temporal dynamics of FD is rarely investigated but would give useful insights into how ecosystem functioning responds to change. The overall objectives of the project are: 1) determine FD across sampling locations and time periods based on environmental and remote sensing data, and 2) determine which edaphic and climatic factors are the main drivers of FD distribution. To accomplish these I will use remotely sensed data from state of the art technologies, i.e. hyperspectral vegetation signatures, vegetation structure, time series of satellite earth observation, and environmental data, incorporating them into a distribution modelling framework. Models will be calibrated and validated using detailed plot-level data. This research will produce current spatial distribution of FD in the tundra, environmental drivers of FD distribution, the temporal dynamics of FD distribution, and the temporal dynamics of FD for different vegetation types. Generated data will be made freely available through multiple portals. Social media, press releases, and a popular science article will communicate the research to a broader audience. The high quality training for this research; the multitude of networking opportunities through collaboration, dissemination, and communication activities; and the hands-on training for project management, will restart my career after a break and advance me toward becoming a senior researcher.

Оригинален текст от CORDIS (на английски).

Участници

UNIVERSITEIT LEIDEN · LeidenКоординаторНидерландия