کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
11030484 1646299 2018 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Modelling the spread and control of cherry guava on Lord Howe Island
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک بوم شناسی، تکامل، رفتار و سامانه شناسی
پیش نمایش صفحه اول مقاله
Modelling the spread and control of cherry guava on Lord Howe Island
چکیده انگلیسی
Effectively controlling invasive species on islands is a critical aspect of global conservation. Having the potential to outcompete or consume native species, it is particularly important to remove them from islands harbouring unique flora and fauna. Lord Howe Island, a World Heritage listed area to the east of the Australian mainland, is in the midst of a long-term weed management project, where the most prolific invasive species is cherry guava, with over 700,000 plants removed so far. In such projects, it is critical to have a good understanding of the invasion dynamics and removal process to have reliable estimates of project timeline and success, and to ensure the best removal strategies are being utilised. In this paper we model cherry guava growth, spread and removal on Lord Howe Island, fitting our model to 12 years of removal data. Our mean estimate is that there are 102,091 plants remaining on the island, which will take approximately 25 years to remove at current levels of eradication effort. Altering the strategy to search every year, rather than biennially, reduces the eradication time to 20 years, which falls within the project target, while also decreasing the total search effort. However, simply increasing search effort to finish faster actually increases the total eradication effort. This shows that the benefits of making careful adjustments to a strategy can far out-weight the benefit of simply investing more money into control. This project exemplifies how high-quality removal record-keeping can be used to generate models that provide important long-term forecasts of project success and suggest effective strategic improvements.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biological Conservation - Volume 227, November 2018, Pages 252-258
نویسندگان
, , , , , ,