التفاصيل البيبلوغرافية
| العنوان: |
Identifying priority survey sites for early-season milkweed conservation |
| المؤلفون: |
Ramji, Anna, Herbst, Amanda, Muir, Sam, Widas, Melissa, Cusser, Sarah |
| بيانات النشر: |
Zenodo |
| سنة النشر: |
2024 |
| المجموعة: |
Zenodo |
| مصطلحات موضوعية: |
milkweed, Species Distribution Modeling, MaxEnt, Asclepias, Asclepias californica, Asclepias eriocarpa, Asclepias erosa, Asclepias vestita, Maximum Entropy, Site Accessibility, Conservation, Restoration ecology, monarch butterfly, survey site accessibility, survey site priority, Survey research |
| الوصف: |
Monarch butterfly ( Danaus plexippus ) populations are experiencing decline due to habitat degradation and climate threats. In 2024, this iconic species became protected under the Endangered Species Act. Critical to the persistence of this species of cultural and ecological importance is milkweed ( Asclepias spp. ), which monarchs rely on as an essential resource for food and reproduction. Motivated by concerns over the loss of monarch habitat, the Santa Barbara Botanic Garden (SBBG) and local collaborators are working to identify potential restoration areas in the Los Padres National Forest (LPNF). However, the vast size and complex terrain of the LPNF pose a logistical challenge to surveying. Therefore, there is a need for a tool to aid in selecting sites to prioritize. Our team created a priority index for surveying milkweed within the LPNF by predicting the habitat suitability for four early-season milkweed species using Maximum Entropy (MaxEnt) species distribution modeling and creating a novel survey site accessibility index. We identified high priority sites for the team to survey based on high predicted suitability for each species of early-season milkweed and high physical accessibility. To communicate these results, we created an interactive web dashboard, which the SBBG team will use for field planning to support the ongoing monitoring of milkweed populations for monarch habitat restoration efforts within the LPNF. ; Funding provided by: University of California, Santa Barbara ROR ID: https://ror.org/02t274463 Award Number: ; Our team collected data from publicly available data sources between 2024-01-10 and 2024-03-22. More details on these sources can be found in our README.md. All data cleaning, processing, and development of modeling and indices for our project have been recorded in notebooks and repositories in our team's GitHub organization , which is also linked as "Related Works" to this archival. We developed a species distribution model to predict habitat suitability for four species of ... |
| نوع الوثيقة: |
other/unknown material |
| اللغة: |
unknown |
| Relation: |
https://github.com/MEDS-SBBG-milkweed; https://zenodo.org/communities/dryad; https://doi.org/10.5061/dryad.2rbnzs7x4; oai:zenodo.org:11368768 |
| DOI: |
10.5061/dryad.2rbnzs7x4 |
| الاتاحة: |
https://doi.org/10.5061/dryad.2rbnzs7x4 |
| Rights: |
info:eu-repo/semantics/openAccess ; Creative Commons Zero v1.0 Universal ; https://creativecommons.org/publicdomain/zero/1.0/legalcode |
| رقم الانضمام: |
edsbas.62051230 |
| قاعدة البيانات: |
BASE |