Rempfler Thomas, Rossi Christian, Schweizer Jan, Peters Wibke, Signer Claudio, Filli Flurin, Jenny Hannes, Hackländer Klaus, Buchmann Sven, Anderwald Pia
Department of Integrative Biology and Biodiversity Research, Institute of Wildlife Biology and Game Management, BOKU University, Vienna, Austria.
Swiss National Park, Chastè Planta-Wildenberg, Runatsch 124, 7530, Zernez, Switzerland.
Mov Ecol. 2024 Dec 18;12(1):80. doi: 10.1186/s40462-024-00521-6.
The habitat use of wild ungulates is determined by forage availability, but also the avoidance of predation and human disturbance. They should apply foraging strategies that provide the most energy at the lowest cost. However, due to data limitations at the scale of movement trajectories, it is not clear to what extent even well-studied species such as red deer (Cervus elaphus) trade-off between forage quality and quantity, especially in heterogeneous alpine habitats characterized by short vegetation periods.
We used remote sensing data to derive spatially continuous forage quality and quantity information. To predict relative nitrogen (i.e. forage quality) and biomass (i.e. forage quantity), we related field data to predictor variables derived from Sentinel-2 satellite data. In particular, our approach employed random forest regression algorithms, integrating various remote sensing variables such as reflectance values, vegetation indices and optical traits derived from a radiative transfer model. We combined these forage characteristics with variables representing human activity, and applied integrated step selection functions to estimate sex-specific summer habitat selection of red deer in open habitats within and around the Swiss National Park, an alpine Strict Nature Reserve.
The combination of vegetation indices and optical traits greatly improved predictive power in both the biomass (R = 0.60, Root mean square error (RMSE) = 88.55 g/m) and relative nitrogen models (R = 0.34, RMSE = 0.28%). Both female and male red deer selected more strongly for biomass (estimate = 0.672 ± 0.059 SE for normalised values for females, and 0.507 ± 0.061 for males) than relative nitrogen (estimate = 0.124 ± 0.062 for females, and 0.161 ± 0.061 for males, respectively). Females showed higher levels of use of the Swiss National Park.
Red deer in summer habitats select forage quantity over quality with little difference between sexes. Females respond more strongly to human activities and thus prefer the Swiss National Park. Our results demonstrate the capability of satellite data to estimate forage quality and quantity separately for movement ecology studies, going beyond the exclusive use of conventional vegetation indices.
野生有蹄类动物的栖息地利用取决于草料的可获得性,同时也受到对捕食和人类干扰的规避影响。它们应采用能以最低成本提供最多能量的觅食策略。然而,由于运动轨迹尺度上的数据限制,即便像马鹿(Cervus elaphus)这样研究充分的物种,在草料质量和数量之间如何权衡仍不清楚,尤其是在植被生长季短的异质高山栖息地。
我们利用遥感数据得出空间连续的草料质量和数量信息。为预测相对氮含量(即草料质量)和生物量(即草料数量),我们将实地数据与从哨兵 - 2 卫星数据得出的预测变量相关联。特别是,我们的方法采用随机森林回归算法,整合了各种遥感变量,如反射率值、植被指数以及从辐射传输模型得出的光学特征。我们将这些草料特征与代表人类活动的变量相结合,并应用综合步长选择函数来估计瑞士国家公园(一个高山严格自然保护区)及其周边开阔栖息地中马鹿夏季的性别特异性栖息地选择。
植被指数和光学特征的结合极大地提高了生物量模型(R = 0.60,均方根误差(RMSE)= 88.55 g/m)和相对氮模型(R = 0.34,RMSE = 0.28%)的预测能力。雌性和雄性马鹿对生物量的选择都比对相对氮的选择更为强烈(雌性标准化值的估计值 = 0.672 ± 0.059 SE,雄性为 0.507 ± 0.061)(雌性相对氮的估计值 = 0.124 ± 0.062,雄性为 0.161 ± 0.061)。雌性对瑞士国家公园的利用水平更高。
夏季栖息地中的马鹿选择草料数量而非质量,且性别差异不大。雌性对人类活动的反应更强,因此更喜欢瑞士国家公园。我们的结果表明卫星数据有能力为运动生态学研究分别估计草料质量和数量,超越了传统植被指数的单一使用。