Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Anja Linstadter"'
Autor:
Danielle Botha, Sandra Barnard, Morné Du Plessis, Mushal Allam, Kai Behn, Arshad Ismail, Anja Linstädter, Malesela Vincent Mokoka, Zamantungwa Thobeka Happiness Mnisi, Frances Siebert
Publikováno v:
Metabarcoding and Metagenomics, Vol 8, Iss , Pp 381-410 (2024)
Increasing livestock densities and more severe drought events challenge sustainable management in South Africa’s semi-arid savannas. Effective mitigation strategies require accurate assessments of livestock foraging behaviour. By utilising high-thr
Externí odkaz:
https://doaj.org/article/c1e69c8fc0fa40cd83c3203be2d4f4ea
Publikováno v:
Pastoralism, Vol 11, Iss 1, Pp 1-14 (2021)
Abstract Finding sufficient natural fodder resources to feed livestock has become a challenge for herders in the Sahel zone of Burkina Faso. Despite the existence of pastoral reserves, the issue of fodder shortage remains unsolved. This article highl
Externí odkaz:
https://doaj.org/article/c933ae72933544e98296a316f8268f1a
Publikováno v:
European Journal of Remote Sensing, Vol 54, Iss 1, Pp 364-384 (2021)
Forage supply of savanna grasslands plays a crucial role for local food security and consequently, a reliable monitoring system could help to better manage vital forage resources. To help installing such a monitoring system, we investigated whether i
Externí odkaz:
https://doaj.org/article/968e499b5f9c4aa7a0713639efecd326
Autor:
Liana Kindermann, Magnus Dobler, Daniela Niedeggen, Ezequiel Chimbioputo Fabiano, Anja Linstädter
Publikováno v:
Data in Brief, Vol 42, Iss , Pp 108155- (2022)
This dataset comprises tree inventories and damage assessments performed in Namibia's semi-arid Zambezi Region. Data were sampled in savannas and savanna woodlands along steep gradients of elephant population densities to capture the effects of those
Externí odkaz:
https://doaj.org/article/b7b0ecd59ea24608a873c8888c2383e8
Publikováno v:
Ecological Indicators, Vol 135, Iss , Pp 108466- (2022)
Almost one third of global drylands are open forests and savannas, which are typically shaped by frequent natural disturbances such as wildfire and herbivory. Studies on ecosystem functions and services of woody vegetation require robust estimates of
Externí odkaz:
https://doaj.org/article/63145d34e12b4f89b93b7f2d87a529f2
Autor:
Melanie Sapp, Nicolas Tyborski, Anja Linstädter, Aida López Sánchez, Tim Mansfeldt, Guido Waldhoff, Georg Bareth, Michael Bonkowski, Laura E. Rose
Publikováno v:
Ecology and Evolution, Vol 9, Iss 18, Pp 10567-10581 (2019)
Abstract The phylum Oomycota comprises important tree pathogens like Phytophthora quercina, involved in central European oak decline, and Phytophthora cinnamomi shown to affect holm oaks among many other hosts. Despite the importance to study the dis
Externí odkaz:
https://doaj.org/article/075b67bfb3ab42d6b3c494e6897065c9
Autor:
Lawrence Munjonji, Kingsley Kwabena Ayisi, Edwin I. Mudongo, Tieho Paulus Mafeo, Kai Behn, Malesela Vincent Mokoka, Anja Linstädter
Publikováno v:
Frontiers in Environmental Science, Vol 8 (2020)
Grasslands cover ca. 30% of the global land surface and provide critical ecosystem services. Among them, carbon storage is one of the most important. However, grasslands are increasingly threatened by drought and overgrazing which might negatively af
Externí odkaz:
https://doaj.org/article/b544aa830513497abf328301b5eee5b6
Autor:
Anja Linstädter, Jürgen Schellberg, Katharina Brüser, Cristian A Moreno García, Roelof J Oomen, Chris C du Preez, Jan C Ruppert, Frank Ewert
Publikováno v:
PLoS ONE, Vol 9, Iss 8, p e104672 (2014)
Despite our growing knowledge on plants' functional responses to grazing, there is no consensus if an optimum level of functional aggregation exists for detecting grazing effects in drylands. With a comparative approach we searched for plant function
Externí odkaz:
https://doaj.org/article/c950d403a7da430a9950353d68228d38
Autor:
Alvaro G. Dieste, Francisco Arguello, Dora B. Heras, Paul Magdon, Anja Linstadter, Olena Dubovyk, Javier Muro
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 17349-17370 (2024)
Analyzing time series from remote sensing data can aid in understanding spectral-temporal phenomena in ecosystems, such as the seasonal variation of plant components. Lately, deep learning has emerged as a strong method for mapping environmental vari
Externí odkaz:
https://doaj.org/article/b24161c1e22c4fd18b18dd6fc184456f
Autor:
Anja Linstädter, Arnim Kuhn, Christiane Naumann, Sebastian Rasch, Alexandra Sandhage-Hofmann, Wulf Amelung, Jorrie Jordaan, Chris C. Du Preez, Michael Bollig
Publikováno v:
Ecology and Society, Vol 21, Iss 3, p 35 (2016)
In the past decades, social-ecological systems (SESs) worldwide have undergone dramatic transformations with often detrimental consequences for livelihoods. Although resilience thinking offers promising conceptual frameworks to understand SES transfo
Externí odkaz:
https://doaj.org/article/d3b97577c9334f73ae5fb9ffc0838120