Predicting aquatic invasion in Adirondack lakes: a spatial analysis of lake and landscape characteristics

Richard R. Shaker; Artur D. Yakubov; Stephanie M. Nick; Erin Vennie-Vollrath; Timothy J. Ehlinger; K. Wayne Forsythe

doi:10.1002/ecs2.1723

Predicting aquatic invasion in Adirondack lakes: a spatial analysis of lake and landscape characteristics

10.32920/14637951 ◽

2021 ◽

Author(s):

Richard Ross Shaker ◽

Artur D. Yakubov ◽

Stephanie M. Nick ◽

Erin Vennie-Vollrath ◽

Timothy J. Ehlinger ◽

...

Keyword(s):

At Risk ◽

Invasive Species ◽

Dreissena Polymorpha ◽

Myriophyllum Spicatum ◽

Management Strategies ◽

Bythotrephes Longimanus ◽

Potamogeton Crispus ◽

Landscape Characteristics ◽

Aquatic Invasion ◽

Adirondack Lakes

Invasive species continue to pose major challenges for managing coupled human-environmental systems. Predictive tools are essential to maximize invasion monitoring and conservation efforts in regions reliant on abundant freshwater resources to sustain economic welfare, social equity, and ecological services. Past studies have revealed biotic and abiotic heterogeneity, along with human activity, can account for much of the spatial variability of aquatic invaders; however, improvements remain. This study was created to (1) examine the distribution of aquatic invasive species richness (AISR) across 126 lakes in the Adirondack Region of New York; (2) develop and compare global and local models between lake and landscape characteristics and AISR; and (3) use geographically weighted regression (GWR) to evaluate non-stationarity of local relationships, and assess its use for prioritizing lakes at risk to invasion. The evaluation index, AISR, was calculated by summing the following potential aquatic invaders for each lake: Asian Clam (Corbicula fluminea), Brittle Naiad (Najas minor), Curly-leaf Pondweed (Potamogeton crispus), Eurasian Watermilfoil (Myriophyllum spicatum), European Frog-bit (Hydrocharis morsus-ranae), Fanwort (Cabomba caroliniana), Spiny Waterflea (Bythotrephes longimanus), Variable-leaf Milfoil (Myriophyllum heterophyllum Water Chestnut (Trapa natans), Yellow Floating Heart (Nymphoides peltata), and Zebra Mussel (Dreissena polymorpha). The Getis-Ord Gi_ statistic displayed significant spatial hot and cold spots of AISR across Adirondack lakes. Spearman’s rank (q) correlation coefficient test (rs) revealed urban land cover composition, lake elevation, relative patch richness, and abundance of game fish were the strongest predictors of aquatic invasion. Five multiple regression global Poisson and GWR models were made, with GWR fitting AISR very well (R2 = 76–83%). Local pseudo-t-statistics of key explanatory variables were mapped and related to AISR, confirming the importance of GWR for understanding spatial relationships of invasion. The top 20 lakes at risk to future invasion were identified and ranked by summing the five GWR predictive estimates. The results inform that inexpensive and publicly accessible lake and landscape data, typically available from digital repositories within local environmental agencies, can be used to develop predictions of aquatic invasion with remarkable agreement. Ultimately, this transferable modeling approach can improve monitoring and management strategies for slowing the spread of invading species.

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Predicting aquatic invasion in Adirondack lakes: a spatial analysis of lake and landscape characteristics

10.32920/14637951.v1 ◽

2021 ◽

Author(s):

Richard Ross Shaker ◽

Artur D. Yakubov ◽

Stephanie M. Nick ◽

Erin Vennie-Vollrath ◽

Timothy J. Ehlinger ◽

...

Keyword(s):

At Risk ◽

Invasive Species ◽

Dreissena Polymorpha ◽

Myriophyllum Spicatum ◽

Management Strategies ◽

Bythotrephes Longimanus ◽

Potamogeton Crispus ◽

Landscape Characteristics ◽

Aquatic Invasion ◽

Adirondack Lakes

Invasive species continue to pose major challenges for managing coupled human-environmental systems. Predictive tools are essential to maximize invasion monitoring and conservation efforts in regions reliant on abundant freshwater resources to sustain economic welfare, social equity, and ecological services. Past studies have revealed biotic and abiotic heterogeneity, along with human activity, can account for much of the spatial variability of aquatic invaders; however, improvements remain. This study was created to (1) examine the distribution of aquatic invasive species richness (AISR) across 126 lakes in the Adirondack Region of New York; (2) develop and compare global and local models between lake and landscape characteristics and AISR; and (3) use geographically weighted regression (GWR) to evaluate non-stationarity of local relationships, and assess its use for prioritizing lakes at risk to invasion. The evaluation index, AISR, was calculated by summing the following potential aquatic invaders for each lake: Asian Clam (Corbicula fluminea), Brittle Naiad (Najas minor), Curly-leaf Pondweed (Potamogeton crispus), Eurasian Watermilfoil (Myriophyllum spicatum), European Frog-bit (Hydrocharis morsus-ranae), Fanwort (Cabomba caroliniana), Spiny Waterflea (Bythotrephes longimanus), Variable-leaf Milfoil (Myriophyllum heterophyllum Water Chestnut (Trapa natans), Yellow Floating Heart (Nymphoides peltata), and Zebra Mussel (Dreissena polymorpha). The Getis-Ord Gi_ statistic displayed significant spatial hot and cold spots of AISR across Adirondack lakes. Spearman’s rank (q) correlation coefficient test (rs) revealed urban land cover composition, lake elevation, relative patch richness, and abundance of game fish were the strongest predictors of aquatic invasion. Five multiple regression global Poisson and GWR models were made, with GWR fitting AISR very well (R2 = 76–83%). Local pseudo-t-statistics of key explanatory variables were mapped and related to AISR, confirming the importance of GWR for understanding spatial relationships of invasion. The top 20 lakes at risk to future invasion were identified and ranked by summing the five GWR predictive estimates. The results inform that inexpensive and publicly accessible lake and landscape data, typically available from digital repositories within local environmental agencies, can be used to develop predictions of aquatic invasion with remarkable agreement. Ultimately, this transferable modeling approach can improve monitoring and management strategies for slowing the spread of invading species.

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Lanskap Hunian Prasejarah di Kawasan Daerah Aliran Sungai (DAS) Karama, Mamuju, Sulawesi Barat

AMERTA ◽

10.24832/amt.v37i2.71-92 ◽

2020 ◽

Vol 37 (2) ◽

pp. 71-92

Author(s):

Citra Iqliyah Darojah ◽

Anggraeni Anggraeni

Keyword(s):

Spatial Analysis ◽

River Basin ◽

Physical Environment ◽

Analysis Data ◽

Upstream Region ◽

Archaeological Sites ◽

Human Occupation ◽

Landscape Characteristics ◽

Archaeological Data ◽

Site Characteristics

Abstract, Researches at Karama River Basin sites have been conducted for years which gave indication of intensive human occupation during Prehistoric period. Hence, it is necessary to reveal and to understand the reason behind this human occupation based on the correlation between morphology, site characteristics, and site distributions. Scientific method was applied to obtain data from the field and to conduct spatial analysis. Disturbance caused by erosion and morphologic changes led to archaeological data transformation and also affected physical environment of archaeological sites. However, that kind of disturbance did not reduce the the importance of physical environment as spatial analysis data. Spatial analysis of sites along the main stem of Karama River both in downstream region and upstream region indicates occupation landscape characteristics. These characteristics can be seen from the location of the occupation which was close to waterway alluvial morphology (hilltop, hill terrace, and river terrace), at relatively flat surface area, and along the riverside or river confluence. There are two highlighted factors from landscape characteristics to support human occupation: accessibility and protection. Accessibility means there is no difficulties to access natural resources and there is possible access to secure interaction between communities. Protection means the location is relatively safe or less affected by both natural and human hazards. Those factors were probably the main reasons to choose Karama River Basin for human settlement.Abstrak, Penelitian situs di kawasan Daerah Aliran Sungai (DAS) Karama, Sulawesi Barat, telah dilakukan selama bertahun-tahun dan menghasilkan indikasi aktivitas hunian yang intensif pada masa Prasejarah. Dengan demikian, perlu diupayakan mencari alasan di balik penghunian manusia di DAS Karama berdasarkan korelasi antara morfologi, karakteristik situs, dan distribusi situs. Metode saintifik diterapkan untuk mendapatkan data dari lapangan dan melakukan analisis spasial. Perubahan morfologi lokasi situs dan erosi di kawasan DAS Karama menyebabkan transformasi data arkeologi serta memengaruhi lingkungan fisik lokasi situs. Meskipun demikian, pengaruh tersebut tidak lantas mengurangi pentingnya komponen fisik lokasi situs sebagai data analisis spasial. Analisis korelasi data dari situs, baik di sepanjang aliran utama Sungai Karama di kawasan muara maupun di kawasan pedalaman, mengindikasikan karakteristik lanskap hunian. Karakteristik tersebut menunjukkan lokasi hunian berada pada morfologi aluvial sungai (puncak bukit, teras bukit, dan teras sungai), berada pada topografi lahan yang relatif datar dan berlokasi di tepi aliran utama sungai atau di tepi pertemuan sungai (confluence). Ada dua faktor utama yang mendukung kawasan DAS Karama sebagai lokasi hunian, yakni aksesibilitas dan keamanan. Faktor aksesibilitas meliputi kemudahan akses terhadap sumber daya alam dan akses yang memungkinkan terjadinya interaksi antarkomunitas. Faktor keamanan menunjukkan bahwa lokasi situs relatif terlindungi dari ancaman bencana alam dan manusia. Kedua faktor tersebut kemungkinan besar menjadi alasan utama manusia memilih kawasan DAS Karama sebagai lokasi hunian.

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