Vše

Co hledáte?

Vše
Projekty
Výsledky výzkumu
Subjekty

Rychlé hledání

  • Projekty podpořené TA ČR
  • Významné projekty
  • Projekty s nejvyšší státní podporou
  • Aktuálně běžící projekty

Chytré vyhledávání

  • Takto najdu konkrétní +slovo
  • Takto z výsledků -slovo zcela vynechám
  • “Takto můžu najít celou frázi”

AgroforesTreeAdvice: a decision support tool combining heterogeneous knowledge resources for tree species selection in agroforestry systems

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00027073%3A_____%2F25%3AN0000080" target="_blank" >RIV/00027073:_____/25:N0000080 - isvavai.cz</a>

  • Nalezeny alternativní kódy

    RIV/60460709:41340/25:103237 RIV/62156489:43410/25:43927175

  • Výsledek na webu

    <a href="https://vuk.gov.cz/wp-content/uploads/2025/06/s10457-025-01208-6.pdf" target="_blank" >https://vuk.gov.cz/wp-content/uploads/2025/06/s10457-025-01208-6.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s10457-025-01208-6" target="_blank" >10.1007/s10457-025-01208-6</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    AgroforesTreeAdvice: a decision support tool combining heterogeneous knowledge resources for tree species selection in agroforestry systems

  • Popis výsledku v původním jazyce

    Selecting the right tree species is a crucial step in designing sustainable and effective agroforestry systems. To support this process, several decision support systems (DSS) have been developed in various countries to help farmers and advisors choose appropriate species. However, these tools are often limited in reach-typically used only within the country where they were created-and tend to focus on different aspects of adaptation to local conditions or achieving specific farming objectives. In this context, we introduce a new framework for agroforestry tree species selection. Its goals are twofold: (i) to compile and organize the knowledge embedded in existing tree selection tools, and (ii) to offer an intuitive, user-friendly graphical interface-AgroforesTreeAdvice. This tool allows users to input local parameters such as soil type, climate, biotic factors, and farm-level or socio-economic constraints, alongside production goals (e.g., timber, fruits) and ecosystem service objectives (e.g., soil conservation, carbon storage). The unified system successfully integrates eight existing agroforestry DSS, improving their (i) findability by centralizing them in one location, (ii) accessibility through a standardized and user-friendly interface, (iii) interoperability by enabling API-based queries across all tools, and (iv) reusability for future DSS development. Finally, we present early user feedback from pilot deployments in three countries, highlighting the tool's benefits and outlining next steps toward further harmonization of agroforestry databases.

  • Název v anglickém jazyce

    AgroforesTreeAdvice: a decision support tool combining heterogeneous knowledge resources for tree species selection in agroforestry systems

  • Popis výsledku anglicky

    Selecting the right tree species is a crucial step in designing sustainable and effective agroforestry systems. To support this process, several decision support systems (DSS) have been developed in various countries to help farmers and advisors choose appropriate species. However, these tools are often limited in reach-typically used only within the country where they were created-and tend to focus on different aspects of adaptation to local conditions or achieving specific farming objectives. In this context, we introduce a new framework for agroforestry tree species selection. Its goals are twofold: (i) to compile and organize the knowledge embedded in existing tree selection tools, and (ii) to offer an intuitive, user-friendly graphical interface-AgroforesTreeAdvice. This tool allows users to input local parameters such as soil type, climate, biotic factors, and farm-level or socio-economic constraints, alongside production goals (e.g., timber, fruits) and ecosystem service objectives (e.g., soil conservation, carbon storage). The unified system successfully integrates eight existing agroforestry DSS, improving their (i) findability by centralizing them in one location, (ii) accessibility through a standardized and user-friendly interface, (iii) interoperability by enabling API-based queries across all tools, and (iv) reusability for future DSS development. Finally, we present early user feedback from pilot deployments in three countries, highlighting the tool's benefits and outlining next steps toward further harmonization of agroforestry databases.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    40102 - Forestry

Návaznosti výsledku

  • Projekt

  • Návaznosti

    R - Projekt Ramcoveho programu EK

Ostatní

  • Rok uplatnění

    2025

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    AGROFORESTRY SYSTEMS

  • ISSN

    0167-4366

  • e-ISSN

    1572-9680

  • Svazek periodika

    99

  • Číslo periodika v rámci svazku

    5

  • Stát vydavatele periodika

    NL - Nizozemsko

  • Počet stran výsledku

    19

  • Strana od-do

    130

  • Kód UT WoS článku

    001503402200005

  • EID výsledku v databázi Scopus

    2-s2.0-105007474443