التفاصيل البيبلوغرافية
| العنوان: |
Contributions of Distribution Modelling to the Ecological Study of Psittaciformes |
| المؤلفون: |
José R. Ferrer-Paris, Ada Sánchez-Mercado |
| المصدر: |
Diversity; Volume 13; Issue 12; Pages: 611 |
| بيانات النشر: |
Multidisciplinary Digital Publishing Institute |
| سنة النشر: |
2021 |
| المجموعة: |
MDPI Open Access Publishing |
| مصطلحات موضوعية: |
distribution, conservation, ecology, environmental niche modelling, research selection function, parrots, psittacids, species distribution models, state observation models |
| جغرافية الموضوع: |
agris |
| الوصف: |
We provide an overview of the use of species distribution modeling to address research questions related to parrot ecology and conservation at a global scale. We conducted a literature search and applied filters to select the 82 most relevant studies to discuss. The study of parrot species distribution has increased steadily in the past 30 years, with methods and computing development maturing and facilitating their application for a wide range of research and applied questions. Conservation topics was the most popular topic (37%), followed by ecology (34%) and invasion ecology (20%). The role of abiotic factors explaining parrot distribution is the most frequent ecological application. The high prevalence of studies supporting on-ground conservation problems is a remarkable example of reduction in the research–action gap. Prediction of invasion risk and assessment of invasion effect were more prevalent than examples evaluating the environmental or economic impact of these invasions. The integration of species distribution models with other tools in the decision-making process and other data (e.g., landscape metrics, genetic, behavior) could even further expand the range of applications and provide a more nuanced understanding of how parrot species are responding to their even more changing landscape and threats. |
| نوع الوثيقة: |
text |
| وصف الملف: |
application/pdf |
| اللغة: |
English |
| Relation: |
Biodiversity Loss & Dynamics; https://dx.doi.org/10.3390/d13120611 |
| DOI: |
10.3390/d13120611 |
| الاتاحة: |
https://doi.org/10.3390/d13120611 |
| Rights: |
https://creativecommons.org/licenses/by/4.0/ |
| رقم الانضمام: |
edsbas.D32D0772 |
| قاعدة البيانات: |
BASE |