Optimization of forest sampling strategies for woody plant species distribution modelling at the landscape scale

2018 ◽  
Vol 410 ◽  
pp. 104-113 ◽  
Author(s):  
Rubén G. Mateo ◽  
Aitor Gastón ◽  
María José Aroca-Fernández ◽  
Santiago Saura ◽  
Juan Ignacio García-Viñas
Fire Ecology ◽  
2020 ◽  
Vol 16 (1) ◽  
Author(s):  
Jan W. van Wagtendonk ◽  
Peggy E. Moore ◽  
Julie L. Yee ◽  
James A. Lutz

Abstract Background The effects of climate on plant species ranges are well appreciated, but the effects of other processes, such as fire, on plant species distribution are less well understood. We used a dataset of 561 plots 0.1 ha in size located throughout Yosemite National Park, in the Sierra Nevada of California, USA, to determine the joint effects of fire and climate on woody plant species. We analyzed the effect of climate (annual actual evapotranspiration [AET], climatic water deficit [Deficit]) and fire characteristics (occurrence [BURN] for all plots, fire return interval departure [FRID] for unburned plots, and severity of the most severe fire [dNBR]) on the distribution of woody plant species. Results Of 43 species that were present on at least two plots, 38 species occurred on five or more plots. Of those 38 species, models for the distribution of 13 species (34%) were significantly improved by including the variable for fire occurrence (BURN). Models for the distribution of 10 species (26%) were significantly improved by including FRID, and two species (5%) were improved by including dNBR. Species for which distribution models were improved by inclusion of fire variables included some of the most areally extensive woody plants. Species and ecological zones were aligned along an AET-Deficit gradient from cool and moist to hot and dry conditions. Conclusions In fire-frequent ecosystems, such as those in most of western North America, species distribution models were improved by including variables related to fire. Models for changing species distributions would also be improved by considering potential changes to the fire regime.


2015 ◽  
Vol 191 ◽  
pp. 322-330 ◽  
Author(s):  
Craig M. Costion ◽  
Lalita Simpson ◽  
Petina L. Pert ◽  
Monica M. Carlsen ◽  
W. John Kress ◽  
...  

2017 ◽  
Vol 39 (3) ◽  
pp. 279 ◽  
Author(s):  
Hong-Xiang Zhang ◽  
Ming-Li Zhang ◽  
Yong Wang

Poisonous plants threaten the ecosystem health of grasslands and the sustainability of animal husbandry. In arid lands, grassland ecosystems tend to be vulnerable and have been degraded due to the influence of human activities. The total area of the natural grasslands in Xinjiang, a large region in arid north-western China, ranks third in terms of area in China. In the process of grassland degradation, poisonous plants have spread widely and quickly in this region. During recent years, increasing economic losses have been caused by poisonous plants in Xinjiang. Although poisonous plants have been reported at some specific locations, their spatial patterns have rarely been investigated at a large regional scale. To understand the current status of hazards and assess the invasion risks of poisonous plants, we sampled ~150 poisonous plant species from Xinjiang and modelled the present and the future (the 2050s and the 2070s) distribution of 90 species using species distribution modelling. Based on the distribution maps of these poisonous plants, four diversity hotspots of poisonous plants were identified in Xinjiang. The results showed that northern Xinjiang had higher levels of poisonous plant diversity compared with the other part of Xinjiang. The precipitation factors had the most influence on prediction of the poisonous plants distributions in the species distribution modelling. Under the scenarios of future climate change, the results of modelling showed that regions close to the four hotspots of poisonous plants in Xinjiang displayed higher risks of invasion by poisonous plants in the future. In addition, these areas with a high risk of plant invasion will become increasingly large. We propose that policy makers consider implementing monitoring and prevention measures in areas identified as having a high risk of future invasion by poisonous plants.


2018 ◽  
Vol 217 ◽  
pp. 251-258 ◽  
Author(s):  
Sally Eaton ◽  
Christopher Ellis ◽  
David Genney ◽  
Richard Thompson ◽  
Rebecca Yahr ◽  
...  

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