Does adding community science observations to museum records improve distribution modeling of a rare endemic plant?
نویسندگان
چکیده
Understanding the ranges of rare and endangered species is central to conserving biodiversity in Anthropocene. Species distribution models (SDMs) have become a common powerful tool for analyzing species–environment relationships across geographic space. Although evaluating integral their conservation, this can be difficult when limited data are available. Community science platforms, such as iNaturalist, emerged alternative sources occurrence data. these observations often thought lower quality than those natural history collections, they may potential improving SDMs with few records from collections. Here, we investigate utility iNaturalist developing high-elevation plant, Telesonix jamesii. Because methods modeling literature, five different techniques were considered, including profile methods, statistical models, machine learning algorithms. The inclusion doubled number usable T. We found that random forest (RF) model using ensemble training performed highest any (area under curve = 0.98). then compared performance RF use only combination (herbarium specimens) All heavily relied on climate (mean temperature driest quarter, precipitation warmest quarter), indicating threat continues change. Validation datasets affected fits well. Models herbarium slightly poorer evaluated cross-validation validated externally This study serve future SDM studies similar limitations.
منابع مشابه
Does Adding Dexamethasone to Clomiphene Citrate Improve Ovulation in PCOS Patients? A Triple - Blind Randomized Clinical Trial Study
متن کامل
The notes from nature tool for unlocking biodiversity records from museum records through citizen science
Legacy data from natural history collections contain invaluable and irreplaceable information about biodiversity in the recent past, providing a baseline for detecting change and forecasting the future of biodiversity on a human-dominated planet. However, these data are often not available in formats that facilitate use and synthesis. New approaches are needed to enhance the rates of digitizati...
متن کاملRelational Agents Improve Engagement and Learning in Science Museum Visitors
A virtual museum guide agent that uses human relationship-building behaviors to engage museum visitors is described. The agent, named “Tinker”, appears in the form of a human-sized anthropomorphic robot, and uses nonverbal conversational behavior, empathy, social dialogue, reciprocal selfdisclosure and other relational behavior to establish social bonds with users. Tinker can describe exhibits ...
متن کاملVisualizing Plant Community Change Using Historical Records
Ecological data from land surveys from 1811 for the 100,000-acre Connecticut Tract in western New York were transcribed and then analyzed using ArcGIS and IDRISI GIS software. The surveys contained both witness tree data and line descriptions, which were analyzed for species composition and community type. Results illustrate that many changes have occurred in species composition. Possible cause...
متن کاملmodeling loss data by phase-type distribution
بیمه گران همیشه بابت خسارات بیمه نامه های تحت پوشش خود نگران بوده و روش هایی را جستجو می کنند که بتوانند داده های خسارات گذشته را با هدف اتخاذ یک تصمیم بهینه مدل بندی نمایند. در این پژوهش توزیع های فیزتایپ در مدل بندی داده های خسارات معرفی شده که شامل استنباط آماری مربوطه و استفاده از الگوریتم em در برآورد پارامترهای توزیع است. در پایان امکان استفاده از این توزیع در مدل بندی داده های گروه بندی ...
ذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Ecosphere
سال: 2023
ISSN: ['2150-8925']
DOI: https://doi.org/10.1002/ecs2.4419