webinar register page

Converting to Wildlife Management Exemption
**** Join us for an Early Bird Special from 5:45-6:00PM on Property Tax Considerations for Buying Land, presented by Braun & Gresham Attorney Natalie Cavellier.***

Learn if a Wildlife Exemption is right for you and your property and how to make the switch! This webinar will provide a basic understanding of the Wildlife Management property tax valuation, more commonly referred to as a “Wildlife Exemption”. It will cover the Wildlife Management law and requirements, how to qualify and how it works, examples of the seven wildlife activity categories, resources/tips for success, and how Plateau can assist to make the transition easy and stress free. Time will be provided at the end to address questions you may have about making the switch to a Wildlife Exemption from traditional Ag or Timber.

Presented by the wildlife exemption specialist at Plateau Land & Wildlife with over 20 years of experience working with landowners making the transition from traditional Ag and Timber to Wildlife.

----------------------------------

About Early Bird Presenter, Natalie Cavellier: As a licensed real estate attorney, Natalie assists developers, cities, and landowners that have an interest in preparing large-acre properties for future development. Her experience and LLM in rural property development, makes Natalie uniquely suited to assist landowners with a passion for ethically-sound and sustainable methods of development. With a ranching-family background, Natalie understands the importance of preserving the aspects we love most about Texas – wide-open spaces, low property taxes, and sustainable methods of living. It’s no wonder then that Texas is the third-fasted growing state, making development of our open spaces unavoidable. However, there are tools available to developers and landowners that allow them to not only profit off of the development, but maintain and protect the character of the land.

Oct 18, 2022 05:45 PM in Central Time (US and Canada)

Webinar logo
* Required information
Loading