Tracking the Rates and Mechanisms of Canopy Damage and Recovery Following Hurricane Maria Using Multitemporal Lidar Data
نویسندگان
چکیده
Hurricane Maria, a Category 4 storm, snapped and uprooted canopy trees, removed large branches, defoliated vegetation across Puerto Rico. The magnitude of forest damages the rates mechanisms recovery following Maria provide important benchmarks for understanding ecology extreme events. We used airborne Lidar data acquired before (2017) after (2018, 2020) to quantify landscape-scale changes in structure along 439-ha elevational gradient (100–800 m) Luquillo Experimental Forest. Damages from were widespread, with 73% study area losing ≥ 1 m height (mean = −7.1 m). Taller forests at lower elevations suffered more damage than shorter above 600 m. Yet only 13.5% had heights ≤ 2 2018, typical threshold gaps, highlighting importance damaged trees advanced regeneration on post-storm structure. Heterogeneous patterns regrowth recruitment yielded open by 2020. Nearly 45% experienced initial loss > (2017–2018) followed rapid gain (2018–2020), whereas 21.6% losses showed little or no gain, 17.8% exhibited larger ± either period. Canopy layers < 10 tall accounted most increases fractional cover between 2018 2020, gains split evenly growth lateral crown expansion surviving individuals. These findings benchmark gap formation, expansion, closure hurricane highlight diversity ecosystem impacts heterogeneous spatial vertical stratification major disturbance event.
منابع مشابه
on the relationship between using discourse markers and the quality of expository and argumentative academic writing of iranian english majors
the aim of the present study was to investigate the frequency and the type of discourse markers used in the argumentative and expository writings of iranian efl learners and the differences between these text features in the two essay genres. the study also aimed at examining the influence of the use of discourse markers on the participants’ writing quality. to this end the discourse markers us...
15 صفحه اولthe clustering and classification data mining techniques in insurance fraud detection:the case of iranian car insurance
با توجه به گسترش روز افزون تقلب در حوزه بیمه به خصوص در بخش بیمه اتومبیل و تبعات منفی آن برای شرکت های بیمه، به کارگیری روش های مناسب و کارآمد به منظور شناسایی و کشف تقلب در این حوزه امری ضروری است. درک الگوی موجود در داده های مربوط به مطالبات گزارش شده گذشته می تواند در کشف واقعی یا غیرواقعی بودن ادعای خسارت، مفید باشد. یکی از متداول ترین و پرکاربردترین راه های کشف الگوی داده ها استفاده از ر...
data mining rules and classification methods in insurance: the case of collision insurance
assigning premium to the insurance contract in iran mostly has based on some old rules have been authorized by government, in such a situation predicting premium by analyzing database and it’s characteristics will be definitely such a big mistake. therefore the most beneficial information one can gathered from these data is the amount of loss happens during one contract to predicting insurance ...
15 صفحه اولthe investigation of the relationship between type a and type b personalities and quality of translation
چکیده ندارد.
the relationship between using language learning strategies, learners’ optimism, educational status, duration of learning and demotivation
with the growth of more humanistic approaches towards teaching foreign languages, more emphasis has been put on learners’ feelings, emotions and individual differences. one of the issues in teaching and learning english as a foreign language is demotivation. the purpose of this study was to investigate the relationship between the components of language learning strategies, optimism, duration o...
15 صفحه اولذخیره 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: Ecosystems
سال: 2021
ISSN: ['1432-9840', '1435-0629']
DOI: https://doi.org/10.1007/s10021-021-00688-8